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Wearable Physical Activity Tracking Systems for Older Adults—A Systematic Review

Published: 30 September 2020 Publication History

Abstract

Physical activity (PA) positively impacts the quality of life of older adults, with technology as a promising factor in maintaining motivation. Within Computer Science and Engineering, research investigates how to track PA of older adults for various purposes. We present a systematic review of 204 papers and discuss wearable tracking systems according to their purpose, technological context, and target audience, as well as design and evaluation processes with particular attention to the meaningful involvement of older adults. Our results show that most systems focus on supervising older adults in the context of disease and frailty management. Only few systems focus on supporting older adults by promoting rehabilitation and respecting agency of older adults via self-monitoring PA, or encouraging PA to maintain healthy levels of activity. Moreover, systems are often narrowly limited to walking, although older adults may enjoy a broader range of activities. Likewise, the involvement of older adults in design processes is scarce, and their experience with a given technology is rarely considered relevant for evaluation. In sum, we contribute an overview of wearable technology for tracking older adults’ PA, contextualize our findings within recommendations provided by Sports and Rehabilitation Science, and illustrate opportunities for future work.

References

[1]
Luke S. Acree, Jessica Longfors, Anette S. Fjeldstad, Cecilie Fjeldstad, Bob Schank, Kevin J. Nickel, Polly S. Montgomery, and Andrew W. Gardner. 2006. Physical activity is related to quality of life in older adults. Health and Quality of Life Outcomes 4, 1 (June 2006), 37.
[2]
Vijayalakshmi Ahanathapillai, James D. Amor, Zoe Goodwin, and Christopher J. James. 2015. Preliminary study on activity monitoring using an android smart-watch. Healthcare Technology Letters 2, 1 (2015), 34--39.
[3]
Hassanin Al-Fahaam, Steve Davis, and Samia Nefti-Meziani. 2016. Power assistive and rehabilitation wearable robot based on pneumatic soft actuators. In Proceedings of the 2016 21st International Conference on Methods and Models in Automation and Robotics (MMAR’16). 472--477.
[4]
Gazihan Alankus, Amanda Lazar, Matt May, and Caitlin Kelleher. 2010. Towards customizable games for stroke rehabilitation. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’10). ACM, New York, NY, 2113--2122.
[5]
Inaki M. Albaina, Thomas Visser, Charles A. P. G. van der Mast, and Martijn H. Vastenburg. 2009. Flowie: A persuasive virtual coach to motivate elderly individuals to walk. In Proceedings of the 2009 3rd International Conference on Pervasive Computing Technologies for Healthcare. 1--7.
[6]
Shawn M. Arent, Daniel M. Landers, and Jennifer L. Etnier. 2000. The effects of exercise on mood in older adults: A meta-analytic review. Journal of Aging and Physical Activity 8, 4 (Oct. 2000), 407--430.
[7]
Roberto Armas, Diego Buenaño, Yves Rybarczyk, and Mario González. 2018. PAME: Physical activity monitoring for the elderly. In Proceedings of the 2018 International Conference on eDemocracy eGovernment (ICEDEG’18). 361--365.
[8]
Masakazu Asano, Yoshimori Tanabe, Keiko Watanabe, Hirokazu Genno, Ken-Ichi Nemoto, Hiroshi Nose, and Masako Isawa. 2005. Development of an exercise meter using triaxial acceleration data. In Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference. 3731--3734.
[9]
Piotr Augustyniak. 2013. Adaptive architecture for assisted living systems. In Proceedings of the 2013 6th International Conference on Human System Interactions (HSI’13). 562--569.
[10]
Imad A. Awada, Irina Mocanu, Adina M. Florea, Lucia Rusu, Raluca Arba, and Bogdan Cramariuc. 2017. Enhancing the physical activity of older adults based on user profiles. In Proceedings of the 2017 16th RoEduNet Conference: Networking in Education and Research (RoEduNet’17). 1--6.
[11]
Imad A. Awada, Irina Mocanu, Sergiu Jecan, Lucia Rusu, Adina M. Florea, Oana Cramariuc, and Bogdan Cramariuc. 2017. Mobile@—An assistive platform for maintaining a healthy lifestyle for elderly people. In Proceedings of the 2017 E-Health and Bioengineering Conference (EHB’17). 591--594.
[12]
Muhammad Awais, Lorenzo Chiari, Espen A. F. Ihlen, Jorunn L. Helbostad, and Luca Palmerini. 2019. Physical activity classification for elderly people in free-living conditions. IEEE Journal of Biomedical and Health Informatics 23, 1 (Jan. 2019), 197--207.
[13]
Sharon A. Baack, Thomas S. Brown, and James T. Brown. 1991. Attitudes toward computers. Journal of Research on Computing in Education 23, 3 (March 1991), 422--433.
[14]
Davide Baldassini, Vera Colombo, Daniele Spoladore, Marco Sacco, and Sara Arlati. 2017. Customization of domestic environment and physical training supported by virtual reality and semantic technologies: A use-case. In Proceedings of the 2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI’17). 1--6.
[15]
Panagiotis D. Bamidis, Evdokimos I. Konstantinidis, Antonis Billis, Christos Frantzidis, Magda Tsolaki, Walter Hlauschek, Efthyvoulos Kyriacou, Marios Neofytou, and Constantinos S. Pattichis. 2011. A web services-based exergaming platform for senior citizens: The long lasting memories project approach to e-health care. In Proceedings of the 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2505--2509.
[16]
Jens Bangsbo, Joanna Blackwell, Carl-Johan Boraxbekk, Paolo Caserotti, Flemming Dela, Adam B. Evans, Astrid Pernille Jespersen, et al. 2019. Copenhagen consensus statement 2019: Physical activity and ageing. British Journal of Sports Medicine 53, 14 (July 2019), 856--858.
[17]
Anne Barnett, Ben Smith, Stephen R. Lord, Mandy Williams, and Adrian Baumand. 2003. Community-based group exercise improves balance and reduces falls in at-risk older people: A randomised controlled trial. Age and Ageing 32, 4 (July 2003), 407--414.
[18]
Jens Barth, Jochen Klucken, Patrick Kugler, Thomas Kammerer, Ralph Steidl, Jürgen Winkler, Joachim Hornegger, and Björn Eskofier. 2011. Biometric and mobile gait analysis for early diagnosis and therapy monitoring in Parkinson’s disease. In Proceedings of the 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 868--871.
[19]
Haobijam Basanta, Yo-Ping Huang, and Tsu-Tian Lee. 2017. Assistive design for elderly living ambient using voice and gesture recognition system. In Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC’17). 840--845.
[20]
Jean-François Bayouk, Jean P. Boucher, and Alain Leroux. 2006. Balance training following stroke: Effects of task-oriented exercises with and without altered sensory input. International Journal of Rehabilitation Research 29 (2006), 51--59.
[21]
Gian M. Bertolotti, Andrea M. Cristiani, Paolo Colagiorgio, Fausto Romano, Elena Bassani, Nicoletta Caramia, and Stefano Ramat. 2016. A wearable and modular inertial unit for measuring limb movements and balance control abilities. IEEE Sensors Journal 16, 3 (Feb. 2016), 790--797.
[22]
Gerald Bieber, Philipp Koldrack, Christopher Sablowski, Christian Peter, and Bodo Urban. 2010. Mobile physical activity recognition of stand-up and sit-down transitions for user behavior analysis. In Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments (PETRA’10). ACM, New York, NY, Article 50, 5 pages.
[23]
Gerald Bieber and Christian Peter. 2008. Using physical activity for user behavior analysis. In Proceedings of the 1st International Conference on PErvasive Technologies Related to Assistive Environments (PETRA’08). ACM, NY, Article 94, 6 pages.
[24]
George Boateng, John A. Batsis, Ryan Halter, and David Kotz. 2017. ActivityAware: An app for real-time daily activity level monitoring on the amulet wrist-worn device. In Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops’17). 431--435.
[25]
George Boateng, John A. Batsis, Patrick Proctor, Ryan Halter, and David Kotz. 2018. GeriActive: Wearable app for monitoring and encouraging physical activity among older adults. In Proceedings of the 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN’18). 46--49.
[26]
Alan K. Bourke, Arnaud Barré, Benoit Mariani, Christopher M. el Achkar, Ani Paraschiv-Ionescu, Kamiar Aminian, Beatrix Vereijken, Nina Skjæret, and Jorunn Helbostad. 2014. Design and development of an inertial sensor based exergame for recovery-step training. In Proceedings of the 2014 11th International Conference on Wearable and Implantable Body Sensor Networks Workshops. 27--32.
[27]
Alan K. Bourke, Fabien Massé, Arash Arami, Kamiar Aminian, Michael Healy, John Nelson, Catriona O’Dwyer, and Susan Coote. 2014. Energy expenditure estimation using accelerometry and heart rate for multiple sclerosis and healthy older adults. In Proceedings of the 2014 11th International Conference on Wearable and Implantable Body Sensor Networks Workshops. 1--5.
[28]
José Bravo, Jesús Fontecha, Francisco J. Navarro, and Ramon Hervas. 2011. A mobile proposal for frailty monitoring by rehabilitation and physical daily activity. In Proceedings of the 2011 IEEE International Conference on Consumer Electronics—Berlin (ICCE-Berlin’11). 176--180.
[29]
Tim Broady, Amy Chan, and Peter Caputi. 2010. Comparison of older and younger adults’ attitudes towards and abilities with computers: Implications for training and learning. British Journal of Educational Technology 41, 3 (2010), 473--485.
[30]
Ilona Buchem, Agathe Merceron, Joern Kreutel, Marten Haesner, and Anika Steinert. 2015. Gamification designs in wearable enhanced learning for healthy ageing. In Proceedings of the 2015 International Conference on Interactive Mobile Communication Technologies and Learning (IMCL’15). 9--15.
[31]
Pasquale Buonocunto, Andrea Giantomassi, Mauro Marinoni, Davide Calvaresi, and Giorgio Buttazzo. 2018. A limb tracking platform for tele-rehabilitation. ACM Transactions on Cyber-Physical Systems 2, 4 (Sept. 2018), Article 30, 23 pages.
[32]
Fabio Buttussi and Luca Chittaro. 2010. Smarter phones for healthier lifestyles: An adaptive fitness game. IEEE Pervasive Computing 9, 4 (Oct. 2010), 51--57.
[33]
Carmela Cafagna, Antonio Diterlizzi, and Fred Voorhorst. 2014. MyWear: Customized green, safe, healthy and smart work- and sports-wear. In Proceedings of the 2014 International Conference on Engineering, Technology, and Innovation (ICE’14). 1--5.
[34]
Michele Caldara, Daniele Comotti, Michael Galizzi, Patrick Locatelli, Valerio Re, Dario Alimonti, Marco Poloni, and Maria C. Rizzetti. 2014. A novel body sensor network for Parkinson’s disease patients rehabilitation assessment. In Proceedings of the 2014 11th International Conference on Wearable and Implantable Body Sensor Networks. 81--86.
[35]
Michele Caldara, Patrick Locatelli, Daniele Comotti, Michael Galizzi, Valerio Re, N. Dellerma, A. Corenzi, and Marco Pessione. 2015. Application of a wireless BSN for gait and balance assessment in the elderly. In Proceedings of the 2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN’15). 1--6.
[36]
Clara Caldeira and Yunan Chen. 2019. Seniors and self-tracking technology. In Perspectives on Human-Computer Interaction Research with Older People, Sergio Sayago (Ed.). Springer International, Cham, Switzerland, 67--79.
[37]
Alexandre M. Campelo and Larry Katz. 2018. Physical literacy promotion in older adults using active video gaming: A sense of presence and attitudes towards exercise. In Proceedings of the 2018 IEEE Games, Entertainment, Media Conference (GEM’18). 163--166.
[38]
John E. M. Cardona, Alfonso R. Goncalves, Monica S. Cameirao, Sergi. B. I. Badia, and Elvio R. Gouveia. 2018. Measured and perceived physical responses in multidimensional fitness training through exergames in older adults. In Proceedings of the 2018 10th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games’18). 1--4.
[39]
Juan L. Carús, Victor Peláez, Sonia García, Miguel A. Fernández, Gabriel Díaz, and Eduardo Alvarez. 2013. A non-invasive and autonomous physical activity measurement system for the elderly. In Proceedings of the 2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and the 2013 IEEE 10th International Conference on Autonomic and Trusted Computing. 619--624.
[40]
Helder Carvalho, André P. Catarino, Ana M. Rocha, and Octavian Postolache. 2014. Health monitoring using textile sensors and electrodes: An overview and integration of technologies. In Proceedings of the 2014 IEEE International Symposium on Medical Measurements and Applications (MeMeA’14). 1--6.
[41]
Alexander M. Chan, Nandakumar Selvaraj, Nima Ferdosi, and Ravi Narasimhan. 2013. Wireless patch sensor for remote monitoring of heart rate, respiration, activity, and falls. In Proceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’13). 6115--6118.
[42]
Hsiao Chan, Pei-Kuang Chao, Yu-Chuan Chen, and Wei-Jay Kao. 2008. Wireless body area network for physical-activity classification and fall detection. In Proceedings of the 2008 5th International Summer School and Symposium on Medical Devices and Biosensors. 157--160.
[43]
Vivek Chandel, Arijit Sinharay, Nasimuddin Ahmed, and Avik Ghose. 2016. Exploiting IMU sensors for IOT enabled health monitoring. In Proceedings of the 1st Workshop on IoT-Enabled Healthcare and Wellness Technologies and Systems (IoT of Health’16). ACM, New York, NY, 21--22.
[44]
Bor-Rong Chen and Joseph Gwin. 2012. Fall detection and risk of falling assessment with wearable sensors. In Proceedings of the Conference on Wireless Health (WH’12). ACM, New York, NY, Article 13, 2 pages.
[45]
Bor-Rong Chen and Bryan Kate. 2011. PAMSys: Long-term physical activity monitoring with single wearable motion sensor. In Proceedings of the 2nd Conference on Wireless Health (WH’11). ACM, New York, NY, Article 21, 2 pages.
[46]
Chen Chen, Kui Liu, Roozbeh Jafari, and Nasser Kehtarnavaz. 2014. Home-based senior fitness test measurement system using collaborative inertial and depth sensors. In Proceedings of the 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 4135--4138.
[47]
Hsieh-Ching Chen, James A. Ashton-Miller, Neil B. Alexander, and Albert B. Schultz. 1991. Stepping over obstacles: Gait patterns of healthy young and old adults. Journal of Gerontology 46, 6 (Nov. 1991), M196--M203.
[48]
Eva Hui-Ping Cheng, Ian Patterson, Jan Packer, and Shane Pegg. 2010. Identifying the satisfactions derived from leisure gardening by older adults. Annals of Leisure Research 13, 3 (Jan. 2010), 395--419.
[49]
Girija Chetty and Matthew White. 2016. Body sensor networks for human activity recognition. In Proceedings of the 2016 3rd International Conference on Signal Processing and Integrated Networks (SPIN’16). 660--665.
[50]
Chih-Yen Chiang, Yu-Chieh Lee, Chia-Juei Hsieh, Steen J. Hsu, and Chia-Tai Chan. 2011. Quantification of home rehabilitation exercise for the elder’s physical fitness monitoring. In Proceedings of the 2011 5th International Conference on Bioinformatics and Biomedical Engineering. 1--4.
[51]
Sheri R. Colberg, Ronald J. Sigal, Bo Fernhall, Judith G. Regensteiner, Bryan J. Blissmer, Richard R. Rubin, Lisa Chasan-Taber, Ann L. Albright, Barry Braun, American College of Sports Medicine; American Diabetes Association. 2010. Exercise and type 2 diabetes: the American College of Sports Medicine and the American Diabetes Association: Joint position statement. Diabetes Care 33, 12 (Dec. 2010), e147--167.
[52]
Stanley Colcombe and Arthur F. Kramer. 2003. Fitness effects on the cognitive function of older adults: A meta-analytic study. Psychological Science 14, 2 (March 2003), 125--130.
[53]
Alice Coni, Sabato Mellone, Julia M. Leach, Marco Colpo, Stefania Bandinelli, and Lorenzo Chiari. 2016. Association between smartphone-based activity monitoring and traditional clinical assessment tools in community-dwelling older people. In Proceedings of the 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow (RTSI’16). 1--4.
[54]
Sunny Consolvo, Katherine Everitt, Ian Smith, and James A. Landay. 2006. Design requirements for technologies that encourage physical activity. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’06). ACM, New York, NY, 457--466.
[55]
Sunny Consolvo, David W. McDonald, Tammy Toscos, Mike Y. Chen, Jon Froehlich, Beverly Harrison, Predrag Klasnja, et al. 2008. Activity sensing in the wild: A field trial of ubifit garden. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’08). ACM, New York, NY, 1797--1806.
[56]
Sarah Cosentino, Ritaro Kasai, Z. Gu, Salvatore Sessa, Yasuo Kawakami, and Atsuo Takanishi. 2018. Knee extensor muscular activity estimation during different walking patterns: Flat normal and brisk walking, stair climbing. In Proceedings of the 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’18). 1554--1557.
[57]
Michela Cozza, Antonella De Angeli, and Linda Tonolli. 2017. Ubiquitous technologies for older people. Personal and Ubiquitous Computing 21, 3 (June 2017), 607--619.
[58]
Andrés B. Crespo, Graciela G. Idrovo, Nuno Rodrigues, and Antonio Pereira. 2016. A virtual reality UAV simulation with body area networks to promote the elders life quality. In Proceedings of the 2016 1st International Conference on Technology and Innovation in Sports, Health, and Wellbeing (TISHW’16). 1--7.
[59]
Andrea Cristiani, Gian M. Bertolotti, Maria Dainotti, Paolo Colagiorgio, Fausto Romano, and Stefano Ramat. 2014. A wearable system for measuring limb movements and balance control abilities based on a modular and low-cost inertial unit. In Proceedings of the 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 3496--3499.
[60]
Anthony F. Dalton, Cliodhna N. Scanaill, Sheila Carew, Declan Lyons, and Gearoid O’Laighin. 2007. A clinical evaluation of a remote mobility monitoring system based on SMS messaging. In Proceedings of the 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2327--2330.
[61]
Ricard Delgado-Gonzalo, Alia Lemkaddem, Philippe Renevey, E. Muntané Calvo, Mathieu Lemay, Kade Cox, Dillon Ashby, Jared Willardson, and Mattia Bertschi. 2016. Real-time monitoring of swimming performance. In Proceedings of the 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’16). 4743--4746.
[62]
Oya Demirbilek and Halime Demirkan. 2004. Universal product design involving elderly users: A participatory design model. Applied Ergonomics 35, 4 (July 2004), 361--370.
[63]
Ine D’Haeseleer, Kathrin Gerling, Dominique Schreurs, Bart Vanrumste, and Vero Vanden Abeele. 2019. Ageing is not a disease: Pitfalls for the acceptance of self-management health systems supporting healthy ageing. In Proceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility. ACM, New York, NY.
[64]
Jaspaljeet Singh Dhillon, Czarina Ramos, Burkhard C. Wünsche, and Christof Lutteroth. 2012. Leveraging consumer sensing devices for telehealth. In Proceedings of the 13th International Conference of the NZ Chapter of the ACM’s Special Interest Group on Human-Computer Interaction (CHINZ’12). ACM, New York, NY, 29--35.
[65]
Anh Dinh, Daniel Teng, Li Chen, Seok-Bum Ko, Yang Shi, Carl McCrosky, Jenny Basran, and Vanina Del Bello-Hass. 2009. A wearable device for physical activity monitoring with built-in heart rate variability. In Proceedings of the 2009 3rd International Conference on Bioinformatics and Biomedical Engineering. 1--4.
[66]
Anh Dinh, Daniel Teng, Li Chen, Yang Shi, Carl McCrosky, Jenny Basran, and Vanina Del Bello-Hass. 2009. Implementation of a physical activity monitoring system for the elderly people with built-in vital sign and fall detection. In Proceedings of the 2009 6th International Conference on Information Technology: New Generations. 1226--1231.
[67]
Alessandro Dionisi, Emilio Sardini, Mauro Serpelloni, and Viviane Pasqui. 2014. Instrumented shirt to evaluate classical human movements. In Proceedings of the 2014 IEEE International Symposium on Medical Measurements and Applications (MeMeA’14). 1--6.
[68]
Connor Dodd, Rukshan Athauda, and Marc T. P. Adam. 2017. Designing user interfaces for the elderly: A systematic literature review. In Proceedings of the 2017 Australasian Conference on Information Systems (ACIS’17).
[69]
Maeva Doron, Thomas Bastian, Aurélia Maire, Julien Dugas, Emilie Perrin, Florence Gris, Régis Guillemaud, et al. 2013. Estimation of physical activity monitored during the day-to-day life by an autonomous wearable device (SVELTE project). In Proceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’13). 4629--4632.
[70]
Julie Doyle, Cathy Bailey, Ben Dromey, and Cliodhna N. Scanaill. 2010. BASE—An interactive technology solution to deliver balance and strength exercises to older adults. In Proceedings of the 2010 4th International Conference on Pervasive Computing Technologies for Healthcare. 1--5.
[71]
Adam Drewnowski and William J. Evans. 2001. Nutrition, physical activity, and quality of life in older adults: Summary. Journals of Gerontology: Series A, Biological Sciences and Medical Sciences 56 (suppl. 2; Oct. 2001), 89--94.
[72]
Mahzar Eisapour, Shi Cao, Laura Domenicucci, and Jennifer Boger. 2018. Participatory design of a virtual reality exercise for people with mild cognitive impairment. In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems (CHI EA’18). ACM, New York, NY, Article CS 15, 9 pages.
[73]
Andreas Ejupi, Matthew Brodie, Yves J. Gschwind, Daniel Schoene, Stephen Lord, and Kim Delbaere. 2014. Choice stepping reaction time test using exergame technology for fall risk assessment in older people. In Proceedings of the 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 6957--6960.
[74]
Steriani Elavsky, Edward McAuley, Robert W. Motl, James F. Konopack, David X. Marquez, Liang Hu, Gerald J. Jerome, and Ed Diener. 2005. Physical activity enhances long-term quality of life in older adults: Efficacy, esteem, and affective influences. Annals of Behavioral Medicine 30, 2 (Oct. 2005), 138--145.
[75]
David A. Ellis and Lukasz Piwek. 2018. Failing to encourage physical activity with wearable technology: What next?Journal of the Royal Society of Medicine 111, 9 (Sept. 2018), 310--313.
[76]
Bassem Elsawy and Kim E. Higgins. 2010. Physical activity guidelines for older adults. American Family Physician 81, 1 (2010), 5. https://pdfs.semanticscholar.org/8081/98d5a3af0770aac2099282ff0fcddc2237e0.pdf.
[77]
Khaled Eskaf, Walid M. Aly, and Alyaa Aly. 2016. Aggregated activity recognition using smart devices. In Proceedings of the 2016 3rd International Conference on Soft Computing Machine Intelligence (ISCMI’16). 214--218.
[78]
Bjoern M. Eskofier, Sunghoon I. Lee, Jean-Francois Daneault, Fatemeh N. Golabchi, Gabriela Ferreira-Carvalho, Gloria Vergara-Diaz, Stefano Sapienza, et al. 2016. Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson’s disease assessment. In Proceedings of the 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’16). 655--658.
[79]
Adam. B. Evans, Anne Nistrup, and Gertrud Pfister. 2018. Active ageing in Denmark; shifting institutional landscapes and the intersection of national and local priorities. Journal of Aging Studies 46 (Sept. 2018), 1--9.
[80]
Adam B. Evans and Mike Sleap. 2015. Older adults’ lifelong embodied experiences of leisure time aquatic physical activity in the United Kingdom. Leisure Studies 34, 3 (May 2015), 335--353.
[81]
Marjan J. Faber, Ruud J. Bosscher, Marijke J. Chin A. Paw, and Piet C. van Wieringen. 2006. Effects of exercise programs on falls and mobility in frail and pre-frail older adults: A multicenter randomized controlled trial. Archives of Physical Medicine and Rehabilitation 87, 7 (July 2006), 885--896.
[82]
Chloe Fan, Jodi Forlizzi, and Anind Dey. 2012. Considerations for technology that support physical activity by older adults. In Proceedings of the 14th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS’12). ACM, New York, NY, 33.
[83]
Umer Fareed. 2015. Smartphone sensor fusion based activity recognition system for elderly healthcare. In Proceedings of the 2015 Workshop on Pervasive Wireless Healthcare (MobileHealth’15). ACM, New York, NY, 29--34.
[84]
Victoriano Pérez Farrona, Jordi Sánchez Bermídez, and Manuel Prado-Velasco. 2011. Design of a smart accelerometric sensor for monitoring of physical risk events. In Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL’11). ACM, New York, NY, Article 136, 5 pages.
[85]
Bruno N. Ferreira, Vânia Guimarães, and Hugo S. Ferreira. 2013. Smartphone based fall prevention exercises. In Proceedings of the 2013 IEEE 15th International Conference on e-Health Networking, Applications, and Services (Healthcom’13). 643--647.
[86]
Joseph Finkelstein and In C. Jeong. 2013. Design and implementation of home automated telemanagement platform for interactive biking exercise (iBikE HAT). In Proceedings of the 2013 IEEE Point-of-Care Healthcare Technologies (PHT’13). 236--239.
[87]
Eletha Flores, Gabriel Tobon, Ettore Cavallaro, Francesca I. Cavallaro, Joel C. Perry, and Thierry Keller. 2008. Improving patient motivation in game development for motor deficit rehabilitation. In Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology (ACE’08). ACM, New York, NY, 381--384.
[88]
Jesús Fontecha, Francesco J. Navarro, Ramón Hervás, and José Bravo. 2013. Elderly frailty detection by using accelerometer-enabled smartphones and clinical information records. Personal and Ubiquitous Computing 17, 6 (Aug. 2013), 1073--1083.
[89]
Sawa Fuke, Takuji Suzuki, and Miwako Doi. 2012. Estimation of falling risk based on acceleration signals during initial gait. In Proceedings of the 2012 International Conference on Biomedical Engineering (ICoBE’12). 286--291.
[90]
Alberto Fung, Eugene C. Lai, and Beom-Chan Lee. 2018. Usability and validation of the smarter balance system: An unsupervised dynamic balance exercises system for individuals with Parkinson’s disease. IEEE Transactions on Neural Systems and Rehabilitation Engineering 26, 4 (April 2018), 798--806.
[91]
Zahava Gabriel and Ann Bowling. 2004. Quality of life from the perspectives of older people. Ageing 8 Society 24, 5 (Sept. 2004), 675--691.
[92]
Yue Gao, Kathrin M. Gerling, Regan L. Mandryk, and Kevin G. Stanley. 2014. Decreasing sedentary behaviours in pre-adolescents using casual exergames at school. In Proceedings of the 1st ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play (CHI PLAY’14). ACM, New York, NY, 97--106.
[93]
Susan L. Gatto and Sunghee H. Tak. 2008. Computer, Internet, and e-mail use among older adults: Benefits and barriers. Educational Gerontology 34, 9 (Aug. 2008), 800--811.
[94]
Kathrin Gerling, Ian Livingston, Lennart Nacke, and Regan Mandryk. 2012. Full-body motion-based game interaction for older adults. In Proceedings of the 2012 ACM Annual Conference on Human Factors in Computing Systems (CHI’12). ACM, New York, NY, 1873.
[95]
Kathrin Gerling, Mo Ray, and Adam B. Evans. 2017. Designing for agency and compassion: Critical reflections on technology to support physical activity in late life. GetAMoveOn Network. Retrieved September 6, 2020 from https://getamoveon.ac.uk/media/pages/publications/thinkpieces/2825263772-1563382512/gerling_ray_evans_web-version.pdf.
[96]
Kathrin Gerling, Mo Ray, Vero Vanden Abeelea, and Brian Adams. 2020. Critical reflections on technology to support physical activity among older adults: An exploration of leading HCI venues. ACM Transactions on Accessible Computing 13, 1 (2020), 1--23. http://eprints.lincoln.ac.uk/id/eprint/39391/.
[97]
Kathrin M. Gerling, Regan L. Mandryk, and Conor Linehan. 2015. Long-term use of motion-based video games in care home settings. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI’15). ACM, New York, NY, 1573--1582.
[98]
Oonagh Giggins, Daniel Kelly, and Brian Caulfield. 2013. Evaluating rehabilitation exercise performance using a single inertial measurement unit. In Proceedings of the 2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops. 49--56.
[99]
Orestis Giotakos, Katerina Tsirgogianni, and Ioannis Tarnanas. 2007. A virtual reality exposure therapy (VRET) scenario for the reduction of fear of falling and balance rehabilitation training of elder adults with hip fracture history. In Proceedings of the 2007 International Conference on Virtual Rehabilitation (ICVR’07). 155--158.
[100]
Maja Gorsic and Domen Novak. 2016. Design and pilot evaluation of competitive and cooperative exercise games for arm rehabilitation at home. In Proceedings of the 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’16). 4690--4694.
[101]
John D. Gould and Clayton Lewis. 1985. Designing for usability: Key principles and what designers think. Communications of the ACM 28, 3 (March 1985), 300--311.
[102]
Harold Greene, Courtney Dulude, Amanda Neves, Ying Sun, and Patricia Burbank. 2012. Performance evaluation of the activity analyzer. In Proceedings of the 2012 38th Annual Northeast Bioengineering Conference (NEBEC’12). 29--30.
[103]
Emma J. Grindley and Samuel J. Zizzi. 2005. Using a multidimensional approach to predict motivation and adherence to rehabilitation in older adults:. Topics in Geriatric Rehabilitation 21, 3 (July 2005), 182--193.
[104]
Marian Haescher, Denys J. C. Matthies, Gerald Bieber, and Bodo Urban. 2015. CapWalk: A capacitive recognition of walking-based activities as a wearable assistive technology. In Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA’15). ACM, New York, NY, Article 35, 8 pages.
[105]
Ali Hammoud, Reem X. Jaber, and Hilda Othman. 2017. Validity of activity measurement using a smart phone. In Proceedings of the 2017 4th International Conference on Advances in Biomedical Engineering (ICABME’17). 1--4.
[106]
Ali Hammoud, Jeroen Vermeulen, Reem Jaber, Maya Ayyache, and Liz Dewitte. 2017. Activity measurement for elderly population using smart phone: Criterion validity in daily life. In 1st International Conference on Sensors, Networks, Smart and Emerging Technologies (SENSET’17). 1--4.
[107]
Vicki L. Hanson. 2010. Influencing technology adoption by older adults. Interacting with Computers 22, 6 (Nov. 2010), 502--509.
[108]
Daniel Harrison, Nadia Bianchi-Berthouze, and Paul Marshall. 2017. The current state of self-tracking technologies and interventions for encouraging increased activity and how to assess them: A critical review. In Proceedings of the 1st GetAMoveOn Annual Symposium.
[109]
Marc Hassenzahl. 2003. The thing and I: Understanding the relationship between user and product. In Funology: From usability to enjoyment, M. A. Blythe, K. Overbeeke, A. F. Monk, and P. C. Wright (Eds.). Springer Netherlands, Dordrecht, 31--42.
[110]
Masayuki Hayashi, Masayuki Kanbara, Norimichi Ukita, and Norihiro Hagita. 2014. Physical activity estimation using accelerometer and facility information for elderly healthcare. In Proceedings of the 2014 IEEE international conference on Systems, Man, and Cybernetics (SMC’14). 659--663.
[111]
Nagaraj Hegde and Edward S. Sazonov. 2015. SmartStep 2.0—A completely wireless, versatile insole monitoring system. In Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM’15). 746--749.
[112]
James Hermus, Cameron Hays, Michal Adamski, Hannah Lider, Jenny Westlund, Austin Scholp, John Webster, and Bjoern Buehring. 2015. Posture monitor for vibration exercise training. In Proceedings of the 2015 IEEE Great Lakes Biomedical Conference (GLBC’15). 1--4.
[113]
David J. Hewson, Rana Jaber, Aly Chkeir, Ali Hammoud, Dhruv Gupta, Jennifer Bassement, Joan Vermeulen, Sandeep Yadav, Luc de Witte, and Jacques Duchê;ne. 2013. Development of a monitoring system for physical frailty in independent elderly. In Proceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’13). 6215--6218.
[114]
Yihsin Ho, Kouhei Tanaka, Shin Ishiguro, Erin Sato-Shimokawara, and Toru Yamaguchi. 2012. Applying user model as the basis for daily exercise support application. In Proceedings of the 2012 Conference on Technologies and Applications of Artificial Intelligence. 250--255.
[115]
Chia-Yeh Hsieh, Chih-Ning Huang, Kai-Chun Liu, Woei-Chyn Chu, and Chia-Tai Chan. 2016. A machine learning approach to fall detection algorithm using wearable sensor. In Proceedings of the 2016 International Conference on Advanced Materials for Science and Engineering (ICAMSE’16). 707--710.
[116]
Mianbo Huang, Guoru Zhao, Lei Wang, and Feng Yang. 2010. A pervasive simplified method for human movement pattern assessing. In Proceedings of the 2010 IEEE 16th International Conference on Parallel and Distributed Systems. 625--628.
[117]
Yu-Chuan Huang, Chih-Wei Yi, Wen-Chih Peng, Hsing-Chen Lin, and Ching-Yu Huang. 2017. A study on multiple wearable sensors for activity recognition. In Proceedings of the 2017 IEEE Conference on Dependable and Secure Computing. 449--452.
[118]
Moritz Hubl, Olaf Pohl, Volker Noack, P. Hahlweg, Carolin Ehm, M. Derleh, Thomas Weiland, et al. 2016. Embedding of wearable electronics into smart sensor insole. In Proceedings of the 2016 IEEE 18th Electronics Packaging Technology Conference (EPTC’16). 597--601.
[119]
Yunho Huh, Justan Klaus, and Magda E. Zarki. 2016. iXercise: An immersive platform for exercise intervention for special needs populations. In Proceedings of the 2016 IEEE/ACS 13th International Conference on Computer Systems and Applications (AICCSA’16). 1--7.
[120]
Sandra R. Hundza, William R. Hook, Christopher R. Harris, Sunny V. Mahajan, Paul A. Leslie, Carl A. Spani, Leonhard G. Spalteholz, Benjamin J. Birch, Drew T. Commandeur, and Nigel J. Livingston. 2014. Accurate and reliable gait cycle detection in Parkinson’s disease. IEEE Transactions on Neural Systems and Rehabilitation Engineering 22, 1 (Jan. 2014), 127--137.
[121]
Martin Hynes, Han Wang, Eleanor McCarrick, and Liam Kilmartin. 2011. Accurate monitoring of human physical activity levels for medical diagnosis and monitoring using off-the-shelf cellular handsets. Personal and Ubiquitous Computing 15, 7 (Oct. 2011), 667--678.
[122]
Kiran Ijaz, Yifan Wang, Naseem Ahmadpour, and Rafael A. Calvo. 2017. Physical activity enjoyment on an immersive VR exergaming platform. In Proceedings of the 2017 IEEE Life Sciences Conference (LSC’17). 59--62.
[123]
Tadaaki Ikehara, Takuto Yoshida, and Ryo Kumeda. 2014. Development of a device that combines exercise and entertainment. In Proceedings of the 2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE’14). 432--433.
[124]
Milla Immonen, Heidi Similä, Elixabete A. Arabiurrutia, Maria J. C. Mañas, Jesús B. Laguía, Cristina P. García, and Carlos G. Gordillo. 2016. Development and user feedback of home technology for preventing falls in older adults. In Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI’16). 122--125.
[125]
Hikaru Inooka, Yasuaki Ohtaki, Hiroshi Hayasaka, Akihiro Suzuki, and Ryoichi Nagatomi. 2006. Development of advanced portable device for daily physical assessment. In Proceedings of the 2006 SICE-ICASE International Joint Conference. 5878--5881.
[126]
Tomotaka Ito, Satoru Umise, Hiromu Hoshi, Mizue Suzuki, and Shigeki Tani. 2015. Gait measurement and evaluation system for diagnosis of elderly people’s gait condition to prevent fall. In Proceedings of the 2015 IEEE International Conference on Advanced Intelligent Mechatronics (AIM’15). 687--693.
[127]
Sergiu Jecan, Raluca Arba, Lucia Rusu, and Irina Mocanu. 2017. Personalized mHealth monitoring for elders using MR@Old. In Proceedings of the 2017 E-Health and Bioengineering Conference (EHB’17). 309--312.
[128]
Ah-Young Jeon, Jae-Hyoung Kim, In-Cheol Kim, Jae-Hee Jung, Soo-Young Ye, Jung-Hoon Ro, Sang-Hwa Yoon, et al. 2007. Implementation of the personal emergency response system using a 3-axial accelerometer. In Proceedings of the 2007 6th International Special Topic Conference on Information Technology Applications in Biomedicine. 223--226.
[129]
Fangxiu Jia, Yujia Sun, Jiyan Yu, and Xiaoming Wang. 2013. A home monitoring system for elderly people based on MEMS sensors and wireless networks. In Proceedings of the 2013 IEEE SENSORS Conference. 1--4.
[130]
Huei-Lin Jiang, Chia-Yeh Hsieh, Kai-Chun Liu, Steen J. Hsu, and Chia-Tai Chan. 2018. Quantitative assessment based on kinematic measures for knee osteoarthritis rehabilitation exercise analysis. In Proceedings of the 2018 IEEE International Conference on Applied System Invention (ICASI’18). 907--909.
[131]
Madde Jordan, Addison Wolf, Brianna Beitzel, Tara Davis, and Carly Harshbarger. 2017. Fitbit Branding Campaign. Retrieved September 6, 2020 from https://www.slideshare.net/BriannaBeitzel/fitbit-branding-campaign.
[132]
Joshua Juen, Qian Cheng, and Bruce Schatz. 2015. A natural walking monitor for pulmonary patients using mobile phones. IEEE Journal of Biomedical and Health Informatics 19, 4 (July 2015), 1399--1405.
[133]
Virginia B. Kalish. 2016. Obesity in older adults. Primary Care: Clinics in Office Practice 43, 1 (March 2016), 137--144.
[134]
Marije Kanis, Sean Alizadeh, Jesse Groen, Milad Khalili, Saskia Robben, Sander Bakkes, and Ben Kröse. 2011. Ambient monitoring from an elderly-centred design perspective: What, who and how. In Ambient Intelligence. Lecture Notes in Computer Science, Vol. 7040. Springer, 330--334.
[135]
Christoph M. Kanzler, Jens Barth, Alexander Rampp, Heiko Schlarb, Franz Rott, Jochen Klucken, and Bjoern M. Eskofier. 2015. Inertial sensor based and shoe size independent gait analysis including heel and toe clearance estimation. In Proceedings of the 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’15). 5424--5427.
[136]
M. Sajeewani Karunarathne, Samuel A. Jones, Samitha W. Ekanayake, and Pubudu N. Pathirana. 2014. Remote monitoring system enabling cloud technology upon smart phones and inertial sensors for human kinematics. In Proceedings of the 2014 IEEE 4th International Conference on Big Data and Cloud Computing. 137--142.
[137]
Hamed Ketabdar and Matti Lyra. 2010. ActivityMonitor: Assisted life using mobile phones. In Proceedings of the 15th International Conference on Intelligent User Interfaces (IUI’10). ACM, New York, NY, 417--418.
[138]
Hamed Ketabdar and Tim Polzehl. 2009. Fall and emergency detection with mobile phones. In Proceedings of the 11th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS’09). ACM, New York, NY, 241--242.
[139]
Adil M. Khan, Youngkoo K. Lee, and Sungyoung Y. Lee. 2010. Accelerometer’s position free human activity recognition using a hierarchical recognition model. In Proceedings of the 12th IEEE International Conference on e-Health Networking, Applications, and Services. 296--301.
[140]
Norbert Kiss, Gergely Patai, Péter Hanák, Tomislav Lipic, Peter Skoda, Luko Gjenero, Amir Dubravic, and Ivan Michieli. 2011. Vital fitness and health telemonitoring of elderly people. In Proceedings of the 2011 34th International Meeting on Information and Communication Technology, Electronics, and Microelectronics (MIPRO’11). 279--284.
[141]
Weisheng Kong, Jia-Yeu Lin, L. Waaning, Salvatore Sessa, Sarah Cosentino, Daniele Magistro, Massimiliano Zecca, Ryuta Kawashima, and Atsuo Takanishi. 2016. Comparison of gait event detection from shanks and feet in single-task and multi-task walking of healthy older adults. In Proceedings of the 2016 IEEE International Conference on Robotics and Biomimetics (ROBIO’16). 2063--2068.
[142]
Weisheng Kong, Salvatore Sessa, Sarah Cosentino, Massimiliano Zecca, Kohei Saito, Chunbao Wang, Usama Imtiaz, et al. 2013. Development of a real-time IMU-based motion capture system for gait rehabilitation. In Proceedings of the 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO’13). 2100--2105.
[143]
Weisheng Kong, Lauren Wanning, Salvatore Sessa, Massimiliano Zecca, Daniele Magistro, Hikaru Takeuchi, Ryuta Kawashima, and Atsuo Takanishi. 2017. Step sequence and direction detection of four square step test. IEEE Robotics and Automation Letters 2, 4 (Oct. 2017), 2194--2200.
[144]
Evdokimos I. Konstantinidis, Antonis S. Billis, Christos A. Mouzakidis, Vasiliki I. Zilidou, Panagiotis E. Antoniou, and Panagiotis D. Bamidis. 2016. Design, implementation, and wide pilot deployment of fitforall: An easy to use exergaming platform improving physical fitness and life quality of senior citizens. IEEE Journal of Biomedical and Health Informatics 20, 1 (Jan. 2016), 189--200.
[145]
Kenneth Koval. 2004. Clinical Pathway for Hip Fractures in the Elderly: The Hospital for Joint Diseases Experience. Retrieved September 6, 2020 from https://oce.ovid.com/article/00003086-200408000-00010/HTML.
[146]
Nouaying Kue, Kelsey Matthews, Nicholas Paiva, Eugene Chabot, Patricia Burbank, and Ying Sun. 2015. A smartphone based activity analyzer for monitoring and encouraging exercise. In Proceedings of the 2015 41st Annual Northeast Biomedical Engineering Conference (NEBEC’15). 1--2.
[147]
Sandeep Kumar, Karthik Gopinath, Laura Rocchi, Poorna T. Sukumar, Suyameendra Kulkarni, and Jayanth Sampath. 2018. Towards a portable human gait analysis and monitoring system. In Proceedings of the 2018 International Conference on Signals and Systems (ICSigSys’18). 174--180.
[148]
Daniel T. H. Lai, Rezaul Begg, Edgar Charry, Marimuthu Palaniswami, and Keith Hill. 2008. Measuring toe clearance using a wireless inertial sensing device. In Proceedings of the 2008 International Conference on Intelligent Sensors, Sensor Networks, and Information Processing. 375--380.
[149]
Daniel T. H. Lai, Edgar Charry, Rezaul Begg, and Marimuthu Palaniswami. 2008. A prototype wireless inertial-sensing device for measuring toe clearance. In Proceedings of the 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 4899--4902.
[150]
Arto Laikari. 2009. Exergaming—Gaming for health: A bridge between real world and virtual communities. In Proceedings of the 2009 IEEE 13th International Symposium on Consumer Electronics. 665--668.
[151]
Nicholas Lane, Emiliano Miluzzo, Hong Lu, Daniel Peebles, Tanzeem Choudhury, and Andrew Campbell. 2010. A survey of mobile phone sensing. IEEE Communications Magazine 48, 9 (Sept. 2010), 140--150.
[152]
Lennart B. Larsson, Gunnar Grimby, and Jan-Erik Karlsson. 1979. Muscle strength and speed of movement in relation to age and muscle morphology. Journal of Applied Physiology 46, 3 (March 1979), 451--456.
[153]
Nicola T. Lautenschlager, Kay L. Cox, Leon Flicker, Jonathan K. Foster, Frank M. van Bockxmeer, Jianguo Xiao, Kathryn R. Greenop, and Osvaldo P. Almeida. 2008. Effect of physical activity on cognitive function in older adults at risk for Alzheimer disease: A randomized trial. JAMA 300, 9 (Sept. 2008), 1027--1037.
[154]
Elaine Lawrence, Christian Sax, Karla F. Navarro, and Mu Qiao. 2010. Interactive games to improve quality of life for the elderly: Towards integration into a WSN monitoring system. In Proceedings of the 2010 2nd International Conference on eHealth, Telemedicine, and Social Medicine. 106--112.
[155]
Thinh M. Le and Rui Pan. 2009. Accelerometer-based sensor network for fall detection. In Proceedings of the 2009 IEEE Biomedical Circuits and Systems Conference. 265--268.
[156]
Beom-Chan Lee, Shu Chen, and Kathleen H. Sienko. 2011. A wearable device for real-time motion error detection and vibrotactile instructional cuing. IEEE Transactions on Neural Systems and Rehabilitation Engineering 19, 4 (Aug. 2011), 374--381.
[157]
Beom-Chan Lee, Alberto Fung, and Timothy A. Thrasher. 2018. The effects of coding schemes on vibrotactile biofeedback for dynamic balance training in Parkinson’s disease and healthy elderly individuals. IEEE Transactions on Neural Systems and Rehabilitation Engineering 26, 1 (Jan. 2018), 153--160.
[158]
Hsiao-Chih G. Lee, Kuang-Yi Chen, Sheng-Yung Hsu, Tzu-Tao Wang, and Po-Wei Tsai. 2015. A novel wireless 3D monitoring system for physical rehabilitation. In Proceedings of the 2015 IEEE MTT-S 2015 International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-BIO’15). 49--50.
[159]
Youngbum Lee, Jinkwon Kim, Muntak Son, and Myoungho Lee. 2007. Implementation of accelerometer sensor module and fall detection monitoring system based on wireless sensor network. In Proceedings of the 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2315--2318.
[160]
Sari Lehtola, Pentti Koistinen, and Heikki Luukinen. 2006. Falls and injurious falls late in home-dwelling life. Archives of Gerontology and Geriatrics 42, 2 (March 2006), 217--224.
[161]
Jizi Li and Chunling Liu. 2005. An ambulatory monitoring architecture for the remote healthcare service system. In Proceedings of the 2005 International Conference on Services Systems and Services Management (ICSSSM’05), Vol. 2. 1414--1418.
[162]
Junde Li, Qi Ma, Alan H. S. Chan, and S. S. Man. 2019. Health monitoring through wearable technologies for older adults: Smart wearables acceptance model. Applied Ergonomics 75 (Feb. 2019), 162--169.
[163]
Kin F. Li, Ana-Maria Sevcenco, and Elaine Yan. 2013. Telerehabilitation using low-cost video game controllers. In Proceedings of the 2013 7th International Conference on Complex, Intelligent, and Software Intensive Systems. 136--143.
[164]
Chia-Hung Lin, Chun-Chao Wang, Jian-Liung Chen, Yi-Pin Kuo, Wei-Ling Chen, and Che-Wei Chang. 2013. Interaction physical-activity housekeeper for silver-haired citizen using wireless sensor and mobile healthcare iPhone. In Proceedings of the 2013 IEEE 37th Annual Computer Software and Applications Conference. 274--275.
[165]
Mu Lin, Nicholas D. Lane, Mashfiqui Mohammod, Xiaochao Yang, Hong Lu, Giuseppe Cardone, Shahid Ali, et al. 2012. BeWell+: Multi-dimensional wellbeing monitoring with community-guided user feedback and energy optimization. In Proceedings of the Conference on Wireless Health (WH’12). ACM, New York, NY, Article 10, 8 pages.
[166]
Sandra Y. Lin, Rachel Davey, and Thomas Cochrane. 2004. Community rehabilitation for older adults with osteoarthritis of the lower limb: A controlled clinical trial. Clinical Rehabilitation 18, 1 (Feb. 2004), 92--101.
[167]
Yu-Hsiang Lin, Hui-Fen Mao, Yun-Cheng Tsai, and Jui-Jen Chou. 2018. Developing a serious game for the elderly to do physical and cognitive hybrid activities. In Proceedings of the 2018 IEEE 6th International Conference on Serious Games and Applications for Health (SeGAH’18). 1--8.
[168]
Herbert Löllgen, Annette Böckenhoff, and Guido Knapp. 2009. Physical activity and all-cause mortality: An updated meta-analysis with different intensity categories. International Journal of Sports Medicine 30, 3 (March 2009), 213--224.
[169]
Jose D. López, Angela Sucerquia, Leonardo Duque-Muñoz, and Francisco Vargas-Bonilla. 2015. Walk and jog characterization using a triaxial accelerometer. In Proceedings of the 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic, and Secure Computing; and Pervasive Intelligence and Computing. 1406--1410.
[170]
Jianjia Ma, Eef Hogervorst, Daniele Magistro, Vassilios Chouliaras, and Massimiliano Zecca. 2018. Development of sensorised resistance band for objective exercise measurement: Activities classification trial. In Proceedings of the 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’18). 3942--3945.
[171]
Jenson C. S. Mak, Ian D. Cameron, and Lyn M. March. 2010. Evidence-based guidelines for the management of hip fractures in older persons: An update. Medical Journal of Australia 192, 1 (2010), 37--41.
[172]
Masaaki Makikawa, Shuzo Asajima, Koji Shibuya, Rinzo Tokue, and Hiroaki Shinohara. 2002. Portable physical activity monitoring system for the evaluation of activity of the aged in daily life. In Proceedings of the 2nd Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society (EBMS/BMES’02), Vol. 3. 1908--1909.
[173]
Masaaki Makikawa, Tadao Isaka, Takeo Iida, Shuzo Asajima, Kanji Tsukise, Narihiro Shiozawa, Kento Nishiyama, et al. 2003. Portable jogging monitor device and its application for health management. In Proceedings of the 2003 IEEE EMBS Asian-Pacific Conference on Biomedical Engineering. 40--41.
[174]
Henar Martín, Ana M. Bernardos, Josué Iglesias, and José R. Casar. 2013. Activity logging using lightweight classification techniques in mobile devices. Personal and Ubiquitous Computing 17, 4 (April 2013), 675--695.
[175]
Anna Lisa Martin-Niedecken, Katja Rogers, Laia Turmo Vidal, Elisa D. Mekler, and Elena Márquez Segura. 2019. ExerCube vs. personal trainer: Evaluating a holistic, immersive, and adaptive fitness game setup. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI’19). ACM, New York, NY, Article 88, 15 pages.
[176]
Denys J. C. Matthies, Marian Haescher, Suranga Nanayakkara, and Gerald Bieber. 2018. Step detection for rollator users with smartwatches. In Proceedings of the Symposium on Spatial User Interaction (SUI’18). ACM, New York, NY, 163--167.
[177]
Fotios H. Mavrovouniotis, Eirini A. Argiriadou, and Christina S. Papaioannou. 2010. Greek traditional dances and quality of old people’s life. Journal of Bodywork and Movement Therapies 14, 3 (July 2010), 209--218.
[178]
Robert S. Mazzeo, Peter Cavanagh, William J. Evans, Maria Fiatarone, James Hagberg, Edward McAuley, and Jill Startzell. 1998. ACSM position stand on exercise and physical activity for older adults. Medicine 8 Science in Sports 8 Exercise 30, 6 (1998), 992--1008.
[179]
Paul J. McCullagh, Mark Beattie, and Chris D. Nugent. 2010. Pervasive technology to facilitate wellness. In Proceedings of the 3rd International Conference on Pervasive Technologies Related to Assistive Environments (PETRA’10). ACM, New York, NY, Article 13, 4 pages.
[180]
Roisin McNaney, Madeline Balaam, Amey Holden, Guy Schofield, Daniel Jackson, Mary Webster, Brook Galna, Gillian Barry, Lynn Rochester, and Patrick Olivier. 2015. Designing for and with people with Parkinson’s: A focus on exergaming. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI’15). ACM, New York, NY, 501--510.
[181]
Kathryn Mercer, Lora Giangregorio, Eric Schneider, Parmit Chilana, Melissa Li, and Kelly Grindrod. 2016. Acceptance of commercially available wearable activity trackers among adults aged over 50 and with chronic illness: A mixed-methods evaluation. JMIR mHealth and uHealth 4, 1 (2016), e7.
[182]
Juho Merilahti, Petteri Viramo, and Ilkka Korhonen. 2016. Wearable monitoring of physical functioning and disability changes, circadian rhythms and sleep patterns in nursing home residents. IEEE Journal of Biomedical and Health Informatics 20, 3 (May 2016), 856--864.
[183]
David Moher, Alessandro Liberati, Jennifer Tetzlaff, Douglas G. Altman, and the PRISMA Group. 2009. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLOS Medicine 6, 7 (July 2009), e1000097.
[184]
Bobak Mortazavi, Mohammad Pourhomayoun, Hassan Ghasemzadeh, Roozbeh Jafari, Christian K. Roberts, and Majid Sarrafzadeh. 2015. Context-aware data processing to enhance quality of measurements in wireless health systems: An application to MET calculation of exergaming actions. IEEE Internet of Things Journal 2, 1 (Feb. 2015), 84--93.
[185]
Robert W. Motl and Edward McAuley. 2010. Physical activity, disability, and quality of life in older adults. Physical Medicine and Rehabilitation Clinics 21, 2 (May 2010), 299--308.
[186]
Kosuke Motoi, Shinobu Tanaka, Masamichi Nogawa, and Ken-Ichi Yamakoshi. 2003. Evaluation of a new sensor system for ambulatory monitoring of human posture and walking speed using accelerometers and gyroscope. In Proceedings of the SICE 2003 Annual Conference, Vol. 2. 1232--1235.
[187]
John E. Muñoz, Mónica S. Cameirao, Teresa Paulino, Sergi B. I. Badia, and Elvio Rubio. 2016. Modulation of physiological responses and activity levels during exergame experiences. In Proceedings of the 2016 8th International Conference on Games and Virtual Worlds for Serious Applications (VS-GAMES’16). 1--8.
[188]
Rossana Muscillo, Silvia Conforto, Maurizio Schmid, Paolo Caselli, and Tommaso D’Alessio. 2007. Classification of motor activities through derivative dynamic time warping applied on accelerometer data. In Proceedings of the 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 4930--4933.
[189]
Bijan Najafi, Kamiar Aminian, François Loew, Yves Blanc, and Philippe Robert. 2000. An ambulatory system for physical activity monitoring in elderly. In Proceedings of the 1st Annual International IEEE-EMBS Special Topic Conference on Microtechnologies in Medicine and Biology. 562--566.
[190]
Bijan Najafi, Kamiar Aminian, Anisoara Paraschiv-Ionescu, François Loew, Christophe J. Bula, and Philippe Robert. 2003. Ambulatory system for human motion analysis using a kinematic sensor: Monitoring of daily physical activity in the elderly. IEEE Transactions on Biomedical Engineering 50, 6 (June 2003), 711--723.
[191]
Takao Nakamura and Yoshitake Yamamoto. 2001. Evaluation system of physical exercise ability using bio-electrical impedance. In Proceedings of the 2001 IEEE International Symposium on Industrial Electronics (ISIE’01), Vol. 3. 2053--2058.
[192]
David Naranjo-Hernández, Laura M. Roa, Javier Reina-Tosina, and Miguel A. Estudillo-Valderrama. 2012. SoM: A smart sensor for human activity monitoring and assisted healthy ageing. IEEE Transactions on Biomedical Engineering 59, 11 (Nov. 2012), 3177--3184.
[193]
Michael R. Narayanan, Steven R. Lord, Marc M. Budge, Branko G. Celler, and Nigel H. Lovell. 2007. Falls management: Detection and prevention, using a waist-mounted triaxial accelerometer. In Proceedings of the 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 4037--4040.
[194]
Miriam E. Nelson, Jack Rejeski, Steven N. Blair, Pamela W. Duncan, and James O. Judge. 2007. Physical activity and public health in older adults: Recommendation from the American College of Sports Medicine and the American Heart Association. Circulation 116, 9 (Aug. 2007), 1094--1105.
[195]
Hung Nguyen, Karina Lebel, Sarah Bogard, Etienne Goubault, Patrick Boissy, and Christian Duval. 2018. Using inertial sensors to automatically detect and segment activities of daily living in people with Parkinson’s disease. IEEE Transactions on Neural Systems and Rehabilitation Engineering 26, 1 (Jan. 2018), 197--204.
[196]
Yoji Nishi, Tadasuke Matsumoto, Taichi Sakamoto, Takanori Nagano, Shunji Moromugi, and Takakazu Ishimatsu. 2008. Computer controlled training system for standing up motion. In Proceedings of the 2008 International Conference on Control, Automation, and Systems. 1998--2001.
[197]
Kenta Nomura, Teru Yonezawa, Takei Ogitsu, Hiroshi Mizoguchi, and Hiroshi Takemura. 2015. Development of Stewart platform type ankle-foot device for trip prevention support. In Proceedings of the 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’15). 4808--4811.
[198]
Yasuaki Ohtaki, Yoshiyuki Iijima, Muhammad U. Arif, Akihiro Suzuki, Ryoichi Nagatomi, and Hikaru Inooka. 2002. Assessment of walking stability by Lyapunov exponent estimation. In Proceedings of the 2nd Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society (EBMS/BMES’02), Vol. 3. 2475--2476.
[199]
Shota Okuno, Tomotaka Ito, Mizue Suzuki, and Shigeki Tani. 2017. Gait diagnosis for elderly people to prevent fall and development of training assist tool using augmented reality. In Proceedings of the 2017 International Symposium on Micro-NanoMechatronics and Human Science (MHS’17). 1--6.
[200]
Hyung-Soon Park, Jung W. Yoon, Jonghyun Kim, Kazumi Iseki, and Mark Hallett. 2011. Development of a VR-based treadmill control interface for gait assessment of patients with Parkinson’s disease. In Proceedings of the 2011 IEEE International Conference on Rehabilitation Robotics. 1--5.
[201]
Robert J. Petrella, Michael W. C. Payne, Andrea R. Myers, Tom J. Overend, and Bert Chesworth. 2000. Physical function and fear of falling after hip fracture rehabilitation in the elderly. American Journal of Physical Medicine 8 Rehabilitation 79 2 (2000), 154--160.
[202]
Angkoon Phinyomark, Gongrit Chujit, Pornchai Phukpattaranont, Chusak Limsakul, and Huosheng Hu. 2012. A preliminary study assessing time-domain EMG features of classifying exercises in preventing falls in the elderly. In Proceedings of the 2012 9th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications, and Information Technology. 1--4.
[203]
Cassandra Phoenix and Bevan Grant. 2009. Expanding the agenda for research on the physically active aging body. Journal of Aging and Physical Activity 17, 3 (July 2009), 362--379.
[204]
Cassandra Phoenix and Noreen Orr. 2014. Pleasure: A forgotten dimension of physical activity in older age. Social Science 8 Medicine 115 (Aug. 2014), 94--102.
[205]
Cassandra Phoenix and Andrew C. Sparkes. 2009. Being Fred: Big stories, small stories and the accomplishment of a positive ageing identity. Qualitative Research 9, 2 (April 2009), 219--236.
[206]
Lukasz Piwek, David A. Ellis, Sally Andrews, and Adam Joinson. 2016. The rise of consumer health wearables: Promises and barriers. PLoS Medicine 13, 2 (Feb. 2016), e1001953.
[207]
Manuel Prado, Javier Reina-Tosina, and Laura Roa. 2002. Distributed intelligent architecture for falling detection and physical activity analysis in the elderly. In Proceedings of the 2nd Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society (EBMS/BMES’02), Vol. 3. 1910--1911.
[208]
Gerdienke B. Prange-Lasonder, Bob Radder, Anke I. R. Kottink, Alejandro Melendez-Calderon, Jaap H. Buurke, and Johan S. Rietman. 2017. Applying a soft-robotic glove as assistive device and training tool with games to support hand function after stroke: Preliminary results on feasibility and potential clinical impact. In Proceedings of the 2017 International Conference on Rehabilitation Robotics (ICORR’17). 1401--1406.
[209]
Michael Pratt, Caroline A. Macera, and Guijing Wang. 2000. Higher direct medical costs associated with physical inactivity. Physician and Sportsmedicine 28, 10 (Oct. 2000), 63--70.
[210]
Jenny Preece, Yvonne Rogers, and Helen Sharp. 2002. The process of interaction design. In Interaction Design: Beyond Human-Computer Interaction. John Wiley 8 Sons, New York, NY, 37--68.
[211]
Arjun Puri, Ben Kim, Olivier Nguyen, Paul Stolee, James Tung, and Joon Lee. 2017. User acceptance of wrist-worn activity trackers among community-dwelling older adults: Mixed method study. JMIR mHealth and uHealth 5, 11 (2017), e173.
[212]
Aung Pyae, Tapani N. Liukkonen, Luimula Mika, Christina Kattimeri, Veroline Cauberghe, and Jouni Smed. 2017. Investigating the Finnish elderly people’s attitudes and motivation towards digital game-based physical exercises. Finnish Journal of eHealth and eWelfare 9, 4 (Nov. 2017), 265--283.
[213]
Aung Pyae, Mika Luimula, and Jouni Smed. 2015. Investigating the usability of interactive physical activity games for elderly: A pilot study. In Proceedings of the 2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom’15). 185--193.
[214]
William L. Raffe and Jaime A. Garcia. 2018. Combining skeletal tracking and virtual reality for game-based fall prevention training for the elderly. In Proceedings of the 2018 IEEE 6th International Conference on Serious Games and Applications for Health (SeGAH’18). 1--7.
[215]
Kyle Rafferty, Timothy Alberg, Harold Greene, Gabriel Ausfresser, Ying Sun, and Patricia Burbank. 2012. Development of an activity analyzer with voice directions for exercises. In Proceedings of the 2012 38th Annual Northeast Bioengineering Conference (NEBEC’12). 221--222.
[216]
Alexander Rampp, Jens Barth, Samuel Schülein, Karl-Günter Gassmann, Jochen Klucken, and Björn M. Eskofier. 2015. Inertial sensor-based stride parameter calculation from gait sequences in geriatric patients. IEEE Transactions on Biomedical Engineering 62, 4 (April 2015), 1089--1097.
[217]
Jack W. Rejeski and Shannon L. Mihalko. 2001. Physical activity and quality of life in older adults. Journals of Gerontology 56A, 23–25 (2001), 13.
[218]
S. Bhagya Rekha and M. Venkateswara Rao. 2017. Methodical activity recognition and monitoring of a person through smart phone and wireless sensors. In Proceedings of the 2017 IEEE International Conference on Power, Control, Signals, and Instrumentation Engineering (ICPCSI’17). 1456--1459.
[219]
Tânia Ribeiro, Ana I. Veloso, and Rui Costa. 2016. Conceptualization of PhysioFun game: A low-cost videogame for home-based stroke rehabilitation. In Proceedings of the 2016 1st International Conference on Technology and Innovation in Sports, Health, and Wellbeing (TISHW’16). 1--8.
[220]
Mário Rodrigues, Rita Santos, Alexandra Queirós, Anabela G. Silva, João Amaral, Luís J. Gonçalves, António Pereira, and Nelson P. da Rocha. 2018. Meet SmartWalk, smart cities for active seniors. In Proceedings of the 2018 2nd International Conference on Technology and Innovation in Sports, Health, and Wellbeing (TISHW’18). 1--7.
[221]
Serge H. Roy, Samuel M. Cheng, Shey-Sheen Chang, John Moore, Gianluca De Luca, Hamid S. Nawab, and Carlo J. De Luca. 2009. A combined sEMG and accelerometer system for monitoring functional activity in stroke. IEEE Transactions on Neural Systems and Rehabilitation Engineering 17, 6 (Dec. 2009), 585--594.
[222]
Arash Salarian, Heike Russmann, François J. G. Vingerhoets, Pierre R. Burkhard, and Kamiar Aminian. 2007. Ambulatory monitoring of physical activities in patients with Parkinson’s disease. IEEE Transactions on Biomedical Engineering 54, 12 (Dec. 2007), 2296--2299.
[223]
Joseph P. Salisbury, Rumpeng Liu, Lindsey M. Minahan, Hye Y. Shin, Sai V. P. Karnati, Shannon E. Duffy, Neha U. Keshav, and Ned T. Sahin. 2018. Patient engagement platform for remote monitoring of vestibular rehabilitation with applications in concussion management and elderly fall prevention. In Proceedings of the 2018 IEEE International Conference on Healthcare Informatics (ICHI’18). 422--423.
[224]
Ankita Samariya, Jerry Alan Fails, and Derek Hansen. 2019. Investigating the social and temporal aspects of children’s physical activity games. In Proceedings of the 18th ACM International Conference on Interaction Design and Children (IDC’19). ACM, New York, NY, 616--622.
[225]
Braveena K. Santhiranayagam, Daniel Lai, Alistair Shilton, Rezaul Begg, and Marimuthu Palaniswami. 2011. Regression models for estimating gait parameters using inertial sensors. In Proceedings of the 2011 7th International Conference on Intelligent Sensors, Sensor Networks, and Information Processing. 46--51.
[226]
Braveena K. Santhiranayagam, Daniel T. H. Lai, Cancan Jiang, Alistair Shilton, and Rezaul Begg. 2012. Automatic detection of different walking conditions using inertial sensor data. In Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN’12). 1--6.
[227]
António Santos, Vânia Guimarães, Nuno Matos, João Cevada, Carlos Ferreira, and Inês Sousa. 2015. Multi-sensor exercise-based interactive games for fall prevention and rehabilitation. In Proceedings of the 2015 9th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth’15). 65--71.
[228]
Alexander Sarria-Ereño, Amaia Méndez-Zorrilla, Begonya García-Zapirain, and John Gialelis. 2015. Wearable sensor-based system to promote physical activity among elderly people. In Proceedings of the 2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT’15). 100--104.
[229]
Tal Shany, Stephen J. Redmond, Michael R. Narayanan, and Nigel H. Lovell. 2012. Sensors-based wearable systems for monitoring of human movement and falls. IEEE Sensors Journal 12, 3 (March 2012), 658--670.
[230]
Rong-Kuan Shen, Cheng-Ying Yang, Victor R. L. Shen, and Wei-Cheng Chen. 2017. A novel fall prediction system on smartphones. IEEE Sensors Journal 17, 6 (March 2017), 1865--1871.
[231]
Yoonyong Shin and Burkhard C. Wünsche. 2013. A smartphone-based golf simulation exercise game for supporting arthritis patients. In Proceedings of the 2013 28th International Conference on Image and Vision Computing New Zealand (IVCNZ’13). 459--464.
[232]
Naruhiro Shiozawa, Shima Okada, and Masaaki Makikawa. 2010. Gait assessment for elderly using a portable acceleration monitoring device. In Proceedings of the SICE 2010 Annual Conference. 2538--2539.
[233]
Kim L. Siegenthaler and Irma O’Dell. 2003. Older golfers: Serious leisure and successful aging. World Leisure Journal 45, 1 (Jan. 2003), 45--52.
[234]
Bruno M. C. Silva, Joel J. P. C. Rodrigues, Tiago M. C. Simões, Sandra Sendra, and Jaime Lloret. 2014. An ambient assisted living framework for mobile environments. In Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI’14). 448--451.
[235]
Joana Silva, Dinis Moreira, João Madureira, Eduardo Pereira, André Dias, and Inês Sousa. 2018. A technological solution for supporting fall prevention exercises at the physiotherapy clinic. In Proceedings of the 2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA’18). 1--6.
[236]
Dawn A. Skelton and Nina Beyer. 2003. Exercise and injury prevention in older people. Scandinavian Journal of Medicine 8 Science in Sports 13, 1 (2003), 77--85.
[237]
Cristina Soaz and Klaus Diepold. 2016. Step detection and parameterization for gait assessment using a single waist-worn accelerometer. IEEE Transactions on Biomedical Engineering 63, 5 (May 2016), 933--942.
[238]
Laura Sookhai, Jean F. Coppola, and Chris Gaur. 2015. Intergenerational activity tracker program: Impact with health related outcomes on older adults. In Proceedings of the 2015 Long Island Section Systems, Applications, and Technology Conference. 1--7.
[239]
Sabrina I. Soraya, Ting-Hui Chiang, Guo-Jing Chan, Yi-Juan Su, Chih-Wei Yi, Yu-Chee Tseng, and Yu-Tai Ching. 2017. IoT/M2M wearable-based activity-calorie monitoring and analysis for elders. In Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’17). 2390--2393.
[240]
Katta Spiel, Fares Kayali, Louise Horvath, Michael Penkler, Sabine Harrer, Miguel Sicart, and Jessica Hammer. 2018. Fitter, happier, more productive? The normative ontology of fitness trackers. In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems (CHI EA’18). ACM, New York, NY, Article 8, 10 pages.
[241]
Susanna Spinsante and Lorenzo Scalise. 2018. Measurement of elderly daily physical activity by unobtrusive instrumented shoes. In Proceedings of the 2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA’18). 1--5.
[242]
Thanos G. Stavropoulos, Georgios Meditskos, Stelios Andreadis, and Ioannis Kompatsiaris. 2015. Real-time health monitoring and contextualised alerts using wearables. In Proceedings of the 2015 International Conference on Interactive Mobile Communication Technologies and Learning (IMCL’15). 358--363.
[243]
Daniel Steffen, Gabriele Bleser, Markus Weber, Didier Stricker, Laetitia Fradet, and Frédéric Marin. 2011. A personalized exercise trainer for elderly. In Proceedings of the 2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth’11) and Workshops. 24--31.
[244]
Daniel Steffen, Markus Muhm, Corinna Christmann, and Gabriele Bleser. 2018. A usability evaluation of a mobile exergame for ankle joint exercises. In Proceedings of the 2018 IEEE 6th International Conference on Serious Games and Applications for Health (SeGAH’18). 1--8.
[245]
Anika Steinert, Marten Haesner, and Elisabeth Steinhagen-Thiessen. 2018. Activity-tracking devices for older adults: Comparison and preferences. Universal Access in the Information Society 17, 2 (June 2018), 411--419.
[246]
Gareth Stratton, Rebecca Murphy, Michael Rosenberg, Paul Fergus, and Andrew Attwood. 2012. Creating intelligent environments to monitor and manipulate physical activity and sedentary behavior in public health and clinical settings. In Proceedings of the 2012 IEEE International Conference on Communications (ICC’12). 6111--6115.
[247]
William J. Strawbridge, Stéphane Deleger, Robert E. Roberts, and George A. Kaplan. 2002. Physical activity reduces the risk of subsequent depression for older adults. American Journal of Epidemiology 156, 4 (Aug. 2002), 328--334.
[248]
Xing Su, Hanghang Tong, and Ping Ji. 2014. Activity recognition with smartphone sensors. Tsinghua Science and Technology 19, 3 (June 2014), 235--249.
[249]
Chika Sugimoto and Ryuji Kohno. 2011. Development of wireless sensing system monitoring physiological information for healthcare in daily life. In Proceedings of the 2011 5th International Conference on Sensing Technology. 488--493.
[250]
Mingui Sun, Lora E. Burke, Zhi-Hong Mao, Yiran Chen, Hsin-Chen Chen, Yicheng Bai, Yuecheng Li, Chengliu Li, and Wenyan Jia. 2014. eButton: A wearable computer for health monitoring and personal assistance. In Proceedings of the 2014 51st ACM/EDAC/IEEE Design Automation Conference (DAC’14). 1--6.
[251]
Juyoung Sunwoo, Wallace Yuen, Christof Lutteroth, and Burkhard Wünsche. 2010. Mobile games for elderly healthcare. In Proceedings of the 11th International Conference of the NZ Chapter of the ACM Special Interest Group on Human-Computer Interaction (CHINZ’10). ACM, New York, NY, 73--76.
[252]
Sarah L. Szanton, Rachel K. Walker, Laken Roberts, Roland J. Thorpe, Jennifer Wolff, Emily Agree, David L. Roth, Laura N. Gitlin, and Christopher Seplaki. 2015. Older adults’ favorite activities are resoundingly active: Findings from the NHATS study. Geriatric Nursing (New York, NY) 36, 2 (2015), 131--135.
[253]
Dennis R. Taaffe, Camille Duret, Steve Wheeler, and Robert Marcus. 1999. Once-weekly resistance exercise improves muscle strength and neuromuscular performance in older adults. Journal of the American Geriatrics Society 47, 10 (Oct. 1999), 1208--1214.
[254]
Fatemeh Tahavori, Emma Stack, Veena Agarwal, Malcolm Burnett, Ann Ashburn, Seyed A. Hoseinitabatabaei, and William Harwin. 2017. Physical activity recognition of elderly people and people with Parkinson’s (PwP) during standard mobility tests using wearable sensors. In Proceedings of the 2017 International Smart Cities Conference (ISC2’17). 1--4.
[255]
Masami Takahashi, Hitoshi Kawasaki, Atsuhiko Maeda, and Motonori Nakamura. 2016. Mobile walking game and group-walking program to enhance going out for older adults. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct (UbiComp’16). ACM, New York, NY, 1372--1380.
[256]
Yasufumi Takama, Wataru Sasaki, Takafumi Okumura, Chi-Chih Yu, Lieu-Hen Chen, and Hiroshi Ishikawa. 2015. Walking route recommendation system for taking a walk as health promotion. In Proceedings of the 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT’15), Vol. 1. 556--559.
[257]
Kentarou Takenoshita, Naruhiro Shiozawa, Junji Onishi, and Masaaki Makikawa. 2005. Development of a portable acceleration monitor device and its clinical application for the quantitative gait assessment of the elderly. In Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference. 3534--3537.
[258]
Toshiyo Tamura, Toshiro Fujimoto, Hiroyuki Muramoto, Jian Huang, Hiromitu Sakaki, and Tatsuo Togawa. 1995. The design of an ambulatory physical activity monitor and it application to the daily activity of the elderly. In Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society, Vol. 2. 1591--1592.
[259]
Toshiyo Tamura, Toshiro Fujimoto, and Tatsuo Togawa. 1997. Quantitative assessment of behavior in dementia patients by continuous physical activity monitoring. In Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: “Magnificent Milestones and Emerging Opportunities in Medical Engineering,” Vol. 3. 999--1002.
[260]
Eiichirou Tanaka, Keiichi Muramatsu, Shozo Saegusa, Yusuke Osawa, Keiichi Watanuki, and Louis Yuge. 2016. Evaluation of a device that promotes walking using a two-dimensional emotion map. In Proceedings of the 2016 World Automation Congress (WAC’16). 1--5.
[261]
Eiichirou Tanaka, Keiichi Muramatsu, Keiichi Watanuki, Shozo Saegusa, and Louis Yuge. 2016. Development of a walking assistance apparatus for gait training and promotion of exercise. In Proceedings of the 2016 IEEE International Conference on Robotics and Automation (ICRA’16). 3711--3716.
[262]
Shinobu Tanaka, Kosuke Motoi, Masamichi Nogawa, and Ken-Ichi Yamakoshi. 2004. A new portable device for ambulatory monitoring of human posture and walking velocity using miniature accelerometers and gyroscope. In Proceedings of the 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vol. 1. 2283--2286.
[263]
Yan Tang, Shuangquan Wang, Yiqiang Chen, and Zhenyu Chen. 2012. PPCare: A personal and pervasive health care system for the elderly. In Proceedings of the 2012 9th International Conference on Ubiquitous Intelligence and Computing and the 9th International Conference on Autonomic and Trusted Computing. 935--939.
[264]
Adrian H. Taylor, Nigel T. Cable, G. Faulkner, Melvyn Hillsdon, Marco Narici, and Akke K. van der Bij. 2004. Physical activity and older adults: A review of health benefits and the effectiveness of interventions. Journal of Sports Sciences 22, 8 (Aug. 2004), 703--725.
[265]
Anja Thieme, Madeline Balaam, Jayne Wallace, David Coyle, and Siân Lindley. 2012. Designing wellbeing. In Proceedings of the Designing Interactive Systems Conference (DIS’12). ACM, New York, NY, 789--790.
[266]
Wildan Thoyib, Eun-Sook Lee, and Man-Gon Park. 2011. Ubiquitous healthcare system: A design on the remote monitoring based on walking activities. In Proceedings of the 2011 International Conference on Electrical Engineering and Informatics. 1--6.
[267]
Iris Tien, Steven D. Glaser, Ruzena Bajcsy, Douglas S. Goodin, and Michael J. Aminoff. 2010. Results of using a wireless inertial measuring system to quantify gait motions in control subjects. IEEE Transactions on Information Technology in Biomedicine 14, 4 (July 2010), 904--915.
[268]
Mary E. Tinetti, Dorothy L. Baker, Margaret Gottschalk, Christianna S. Williams, Daphna Pollack, Patricia Garrett, Thomas M. Gill, Richard A. Marottoli, and Denise Acampora. 1999. Home-based multicomponent rehabilitation program for older persons after hip fracture: A randomized trial. Archives of Physical Medicine and Rehabilitation 80, 8 (Aug. 1999), 916--922.
[269]
Toshiyo Tmaura, Nor A. Zakaria, Yutuka Kuwae, Masaki Sekine, Kotaro Minato, and Masaki Yoshida. 2013. Quantitative analysis of the fall-risk assessment test with wearable inertia sensors. In Proceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’13). 7217--7220.
[270]
Yuriko Tsuruoka and Ryosuke Shibasaki. 2006. Spectral analysis in walking balance by elderly subjects. In Proceedings of the 2006 International Conference of the IEEE Engineering in Medicine and Biology Society. 5420--5423.
[271]
Stephen Uzor and Lynne Baillie. 2013. Exploring and designing tools to enhance falls rehabilitation in the home. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’13). ACM, New York, NY, 1233--1242.
[272]
Stephen Uzor and Lynne Baillie. 2014. Investigating the long-term use of exergames in the home with elderly fallers. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’14). ACM, New York, NY, 2813--2822.
[273]
Abhishek Vadnerkar, Sabrina Figueiredo, Nancy E. Mayo, and Robert E. Kearney. 2014. Classification of gait quality for biofeedback to improve heel-to-toe gait. In Proceedings of the 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 3626--3629.
[274]
Veronika A. Vanden Abeele and Veerle Van Rompaey. 2006. Introducing human-centered research to game design: Designing game concepts for and with senior citizens. ACM, New York, NY, 1469--1474.
[275]
Vijayaraghavan Varadharajan, Vikas Kannav, and Anjaneyulu Pasla. 2016. Sensor based coaching for a fit and healthy society. In Proceedings of the 2016 IEEE International Symposium on Technology and Society (ISTAS’16). 1--5.
[276]
Harshvardhan Vathsangam and Gaurav S. Sukhatme. 2014. Using phone-based activity monitors to promote physical activity in older adults: A pilot study. In Proceedings of the 2014 IEEE Healthcare Innovation Conference (HIC’14). 42--47.
[277]
Alessandro Vercelli, Innocenzo Rainero, Helios De Rosario, Mathew Summers, Rainer Wieching, Georg Aumayr, Stephan Bandelow, Ludovico Ciferri, and Marco Bazzani. 2017. My Active and Healthy Ageing (My-AHA): An ICT platform to detect frailty risk and propose intervention. In Proceedings of the 2017 25th International Conference on Software, Telecommunications, and Computer Networks (SoftCOM’17). 1--4.
[278]
Alok Verma, Reshma A. Merchant, Santhosh Seetharaman, and Haoyong Yu. 2016. An intelligent technique for posture and fall detection using multiscale entropy analysis and fuzzy logic. In Proceedings of the 2016 IEEE Region 10 Conference (TENCON’16). 2479--2482.
[279]
Bruni Vieira, Luis Pereira, Ricardo Freitas, Miguel Terroso, and Ricardo Simoes. 2015. A gamified application for assessment of balance and fall prevention. In Proceedings of the 2015 10th Iberian Conference on Information Systems and Technologies (CISTI’15). 1--6.
[280]
John Vines, Mark Blythe, Paul Dunphy, and Andrew Monk. 2011. Eighty something: Banking for the older old. In Proceedings of the 25th BCS Conference on Human-Computer Interaction (BCS-HCI’11). 64--73. http://dl.acm.org/citation.cfm?id=2305316.2305330
[281]
John Vines, Gary Pritchard, Peter Wright, Patrick Olivier, and Katie Brittain. 2015. An age-old problem: Examining the discourses of ageing in HCI and strategies for future research. ACM Transactions on Computer-Human Interaction 22, 1 (Feb. 2015), Article 2, 27 pages.
[282]
Harlharasudhan Viswanathan, Baozhl Chen, and Dario Pompili. 2012. Research challenges in computation, communication, and context awareness for ubiquitous healthcare. IEEE Communications Magazine 50, 5 (May 2012), 92--99.
[283]
Wen-Fong Wang, Nan-Tong Wang, and Sheng-Jia Shih. 2010. Design of a health management system with physiological signal acquisition. In Proceedings of the 2010 IEEE Asia Pacific Conference on Circuits and Systems. 456--459.
[284]
Zhihui Wang, Keisuke Shibai, and Tohru Kiryu. 2003. An Internet-based cycle ergometer system by using distributed computing. In Proceedings of the 2003 4th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine. 82--85.
[285]
World Health Organization. 2002. Proposed Working Definition of an Older Person in Africa for the MDS Project. Retrieved September 6, 2020 from http://www.who.int/healthinfo/survey/ageingdefnolder/en/.
[286]
World Health Organization. 2010. Global Recommendations on Physical Activity for Health. World Health Organization, Geneva, Switzerland. http://www.ncbi.nlm.nih.gov/books/NBK305057/.
[287]
World Health Organization. 2015. Physical Activity and Older Adults. Retrieved September 6, 2020 from https://www.who.int/dietphysicalactivity/factsheet_olderadults/en/.
[288]
World Health Organization. 2015. Physical Activity Strategy for the WHO European Region 2016--2025. Retrieved September 6, 2020 from https://www.euro.who.int/en/publications/abstracts/physical-activity-strategy-for-the-who-european-region-20162025.
[289]
World Health Organization. 2018. Ageing and Health. Retrieved September 6, 2020 from https://www.who.int/news-room/fact-sheets/detail/ageing-and-health.
[290]
Jerzy Wtorek, Adam Bujnowski, Magdalena Lewandowska, Jacek Rumiński, Artur Poliński, and Mariusz Kaczmarek. 2010. Evaluation of physiological and physical activity by means of a wireless multi-sensor. In Proceedings of the 2010 2nd International Conference on Information Technology (ICIT’10). 239--242.
[291]
Yu-Chi Wu, Shih Mim Liu, Chaohsu Chang, Chin-Chuan Han, and Wen-Ching Yu. 2013. Integration of wearable sensors and positioning system for developing healthy living style. In Proceedings of the 2013 1st International Conference on Orange Technologies (ICOT’13). 181--184.
[292]
Ramin Yaghoubzadeh, Marcel Kramer, Karola Pitsch, and Stefan Kopp. 2013. Virtual agents as daily assistants for elderly or cognitively impaired people. In Intelligent Virtual Agents. Lecture Notes in Computer Science, Vol. 8108. Springer, 79--91.
[293]
Che-Chang Yang and Yeh-Liang Hsu. 2007. Algorithm design for real-time physical activity identification with accelerometry measurement. In Proceedings of the 33rd Annual Conference of the IEEE Industrial Electronics Society (IECON’07). 2996--3000.
[294]
Jindaporn Yaothak, Pornchai Phukpattaranont, and Booncharoen Wongkittisuksa. 2011. Game-based EMG biofeedback system for muscle training in the elderly. In Proceedings of the 5th International Conference on Rehabilitation Engineering and Assistive Technology (i-CREATe’11). Article 28, 4 pages. http://dl.acm.org/citation.cfm?id=2500753.2500786
[295]
Syunji Yazaki and Toshio Matsunaga. 2009. Portable life support system using wearable biosensor worn by the elderly. In Proceedings of the ICROS-SICE 2009 International Joint Conference. 2763--2768.
[296]
Mi Zhang and Alexander A. Sawchuk. 2011. Context-aware fall detection using a Bayesian network. In Proceedings of the 5th ACM International Workshop on Context-Awareness for Self-Managing Systems (CASEMANS’11). ACM, New York, NY, 10--16.
[297]
Jiewen Zheng, Yuhong Shen, Zhengbo Zhang, Taihu Wu, Guang Zhang, and Hengzhi Lu. 2013. Emerging wearable medical devices towards personalized healthcare. In Proceedings of the 8th International Conference on Body Area Networks (BodyNets’13). 427--431.
[298]
Siyu Zhou, Atsushi Ogihara, Shoji Nishimura, and Qun Jin. 2017. Analysis of health and physiological index based on sleep and walking steps by wearable devices for the elderly. In Proceedings of the 2017 IEEE 10th Conference on Service-Oriented Computing and Applications (SOCA’17). 245--250.

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  1. Wearable Physical Activity Tracking Systems for Older Adults—A Systematic Review

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      cover image ACM Transactions on Computing for Healthcare
      ACM Transactions on Computing for Healthcare  Volume 1, Issue 4
      Special Issue on Wearable Technologies for Smart Health: Part 1
      October 2020
      184 pages
      EISSN:2637-8051
      DOI:10.1145/3427421
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      Published: 30 September 2020
      Accepted: 01 May 2020
      Revised: 01 May 2020
      Received: 01 August 2019
      Published in HEALTH Volume 1, Issue 4

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      1. Older adults
      2. activity tracking
      3. physical activity
      4. wearables

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