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Step up life: a context aware health assistant

Published: 04 November 2014 Publication History

Abstract

A recent trend in the popular health news is, reporting the dangers of prolonged inactivity in one's daily routine. The claims are wide in variety and aggressive in nature, linking a sedentary lifestyle with obesity and shortened lifespans [25]. Rather than enforcing an individual to perform a physical exercise for a predefined interval of time, we propose a design, implementation, and evaluation of a context aware health assistant system (called Step Up Life) that encourages a user to adopt a healthy life style by performing simple, and contextually suitable physical exercises. Step Up Life is a smart phone application which provides physical activity reminders to the user considering the practical constraints of the user by exploiting the context information like the user location, personal preferences, calendar events, time of the day and the weather [9]. A fully functional implementation of Step Up Life is evaluated by user studies.

References

[1]
G. D. Abowd et al. Towards a better understanding of context and context-awareness. Handheld and ubiquitous computing, 1999.
[2]
J. Bartley, J. Forsyth, P. Pendse, D. Xin, G. Brown, P. Hagseth, A. Agarwal, D. W. Goldberg, and T. Hammond. World of workout. HealthGIS '13: Proceedings of the Second ACM SIGSPATIAL International Workshop on the Use of GIS in Public Health / ACM.
[3]
S. Consolvo, K. Everitt, I. Smith, and J. A. Landay. Design Requirements for Technologies that Encourage Physical Activity.
[4]
D. Cummings, G. Lucchese, M. Prasad, C. Aikens, J. Ho, and T. Hammond. Geotrooper: a mobile location-aware system for team coordination. Proceedings of the 13th International Conference of the NZ Chapter of the ACM's Special Interest Group on Human-Computer Interaction.
[5]
A. K. Dey, G. D. Abowd, and D. Salber. A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications. Human-Computer interaction, 16(2): 97--166, 2001.
[6]
I. Fitbit. Fitbit. http://goo.gl/Pwe9Pi.
[7]
B. Fogg. Bj fogg's behavior model http://www.behaviormodel.org.
[8]
B. Fogg, D. Eckles, I. Bogost, S. Consolvo, and E. Holmen. Mobile Persuasion: 20 Perspectives of the Future of Behavior Change.
[9]
D. Goldberg, M. Cockburn, T. Hammond, G. Jacquez, D. Janies, C. Knoblock, W. Kuhn, E. Pultar, and M. Raubal. Envisioning a future for spatial-health cybergis marketplace. ACM SIGSPATIAL 2nd International Workshop on the Use of GIS in Public Health (HEALTHGIS), 2013.
[10]
K. Holesh. Move - daily activity to stay healthy. http://goo.gl/y66Fkv.
[11]
E. Kaasinen. User needs for location-aware mobile services. Personal and ubiquitous computing, 7(1): 70--79, 2003.
[12]
A. C. King and D. K. King. Physical activity for an aging population. Public Health Reviews, 32(2): 2107--6952, 2010.
[13]
A. Kouznetsov. Ergominder. http://goo.gl/t3rPVU.
[14]
J. R. Kwapisz, G. M. Weiss, and S. A. Moore. Activity recognition using cell phone accelerometers. ACM SigKDD Explorations Newsletter, 12(2): 74--82, 2011.
[15]
J. J. Lin, L. Mamykina, S. Lindtner, G. Delajoux, and H. B. Strub. Fish'n'steps: Encouraging physical activity with an interactive computer game.
[16]
J. Miller and T. Hammond. Wiiolin: a virtual instrument using the wii remote. new interfaces for musical expression. NIME, 2010.
[17]
I. Mobile York. Health@work. http://goo.gl/w9yQwR.
[18]
B. Paulson, D. Cummings, and T. Hammond. Object interaction detection using hand posture cues in an office setting. International Journal of Human-Computer Studies, 69(1--2): 19--29, 2011.
[19]
M. Prasad, M. Russell, and T. Hammond. A user centric model to design tactile codes with shapes and waveforms. Haptics Symposium (HAPTICS), 2014 IEEE, pages 597--602, 2014.
[20]
M. Prasad, M. Russell, and T. A. Hammond. Designing vibrotactile codes to communicate verb phrases. ACM Trans. Multimedia Comput. Commun. Appl, 11(1s): 11:1--11:21, 2014.
[21]
M. Prasad, P. Taele, T. Hammond, and D. Goldberg. Haptimoto - turn-by-turn haptic route guidance interface for motorcyclists. Conference on Human Factors in Computing Systems, 2014.
[22]
M. Prasad, P. Taele, A. Olubeku, and T. Hammond. Haptigo: An intelligent and lightweight tactile vest for improving active pedestrian navigation experiences. Haptics, 2014.
[23]
C. Tudor-Locke and David R. Bassett Jr. How many steps/day are enough?- preliminary pedometer indices for public health. http://www.health.utah.edu/peak/health_fitness/tudor%20locke%20paper.pdf.
[24]
J. Weberman. Exercise reminder hd. http://goo.gl/0fGkjW.
[25]
WHO Media Centre. Obesity and overweight http://www.who.int/mediacentre/factsheets/fs311/en/. 2011.

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cover image ACM Conferences
HealthGIS '14: Proceedings of the Third ACM SIGSPATIAL International Workshop on the Use of GIS in Public Health
November 2014
74 pages
ISBN:9781450331364
DOI:10.1145/2676629
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 04 November 2014

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Author Tags

  1. context aware systems
  2. environmental monitoring
  3. geographic information systems
  4. healthgis
  5. individual health
  6. personal health assistant
  7. public health
  8. sensors

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SIGSPATIAL '14
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  • University of North Texas
  • Microsoft
  • ORACLE
  • Facebook
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Cited By

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  • (2023)SmartPoser: Arm Pose Estimation with a Smartphone and Smartwatch Using UWB and IMU DataProceedings of the 36th Annual ACM Symposium on User Interface Software and Technology10.1145/3586183.3606821(1-11)Online publication date: 29-Oct-2023
  • (2023)CHARLIE: A Chatbot That Recommends Daily Fitness and Diet Plans2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)10.1109/PerComWorkshops56833.2023.10150359(116-121)Online publication date: 13-Mar-2023
  • (2021)Wearable Devices in Health Monitoring from the Environmental towards Multiple Domains: A SurveySensors10.3390/s2106213021:6(2130)Online publication date: 18-Mar-2021
  • (2021)A Review of Cognitive Assistants for HealthcareACM Computing Surveys10.1145/341936853:6(1-37)Online publication date: 2-Feb-2021
  • (2021)Recognizing Seatbelt-Fastening Behavior with Wearable Technology and Machine LearningExtended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411763.3451705(1-6)Online publication date: 8-May-2021
  • (2019)User Models for Personalized Physical Activity Interventions: Scoping ReviewJMIR mHealth and uHealth10.2196/110987:1(e11098)Online publication date: 16-Jan-2019
  • (2019)A systematic review of just-in-time adaptive interventions (JITAIs) to promote physical activityInternational Journal of Behavioral Nutrition and Physical Activity10.1186/s12966-019-0792-716:1Online publication date: 3-Apr-2019
  • (2019)Automatic Exercise Recognition with Machine LearningPrecision Health and Medicine10.1007/978-3-030-24409-5_4(33-44)Online publication date: 2-Aug-2019
  • (2017)Wearable technologies, health and well-being: A case reviewDigital Medicine10.4103/digm.digm_13_173:1(11)Online publication date: 2017
  • (2017)Did you remember to brush?Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare10.1145/3154862.3154866(48-57)Online publication date: 23-May-2017
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