Vivian Genaro Motti
ABSTRACT
The large number of sensors and form factors available enhance the potential of wearables to support, assist and facilitate healthcare. From activity trackers that aid to prevent diseases and monitor patients' conditions to assistive devices that provide therapeutic support, numerous conditions benefit from continuous data collection and long-term analysis. The benefits involve patients, and help to inform and to improve standard care practices thanks to a better understanding of the patients' conditions and responses to treatments and interventions. Wearable sensors allow objective measures of data, being less error-prone, more accurate that self-reports and more consistent than data manually annotated. While advances in storage, processing power, and battery life raised the number of applications in wearable health, such advances did not come without drawbacks. The potential of wearable health has been increasing with the growth in research and development in the field. However, many open challenges to be addressed still exist to ensure that applications are effective and safe to use before mainstream adoption. Key challenges that must be addressed to reduce risks are related to the accuracy of the data collection, performance of algorithms for data analysis, patients' safety and privacy protection. This paper discusses the design space for wearable health, listing form factors, sensors and applications. It also highlights opportunities and challenges in the domain.
- Anya S Evmenova, Heidi J Graff, Vivian Genaro Motti, Kudirat Giwa-Lawal, and Hui Zheng. 2018. Designing a Wearable Technology Intervention to Support Young Adults With Intellectual and Developmental Disabilities in Inclusive Post-secondary Academic Environments. Journal of Special Education Technology (2018), 0162643418795833.Google Scholar
- Vivian Genaro Motti and Kelly Caine. 2014. Understanding the wearability of head-mounted devices from a human-centered perspective. In Proceedings of the 2014 ACM International Symposium on Wearable Computers. ACM, New York, NY, USA, 83--86. Google ScholarDigital Library
- Vivian Genaro Motti and Kelly Caine. 2015. An overview of wearable applications for healthcare: requirements and challenges. In Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers. ACM, New York, NY, USA, 635--641. Google ScholarDigital Library
- Holger Junker, Oliver Amft, Paul Lukowicz, and Gerhard Tröster. 2008. Gesture spotting with body-worn inertial sensors to detect user activities. Pattern Recognition 41, 6 (2008), 2010--2024. Google ScholarDigital Library
- Rushil Khurana, Nikola Banovic, and Kent Lyons. 2018. In Only 3 Minutes: Perceived Exertion Limits of Smartwatch Use. In Proceedings of the 2018 ACM International Symposium on Wearable Computers (ISWC '18). ACM, New York, NY, USA, 208--211. Google ScholarDigital Library
- K. Kunze and P. Lukowicz. 2014. Sensor Placement Variations in Wearable Activity Recognition. IEEE Pervasive Computing 13, 4 (Oct 2014), 32--41.Google ScholarCross Ref
- Byron Lowens, Vivian Genaro Motti, and Kelly Caine. 2017. Wearable privacy: Skeletons in the data closet. In 2017 IEEE International Conference on Healthcare Informatics (ICHI). IEEE, 295--304.Google ScholarCross Ref
- Sinziana Mazilu, Ulf Blanke, Michael Hardegger, Gerhard Tröster, Eran Gazit, and Jeffrey M. Hausdorff. 2014. GaitAssist: A Daily-life Support and Training System for Parkinson's Disease Patients with Freezing of Gait. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '14). ACM, New York, NY, USA, 2531--2540. Google ScholarDigital Library
- Md. Tahmidul Islam Molla, Crystal Compton, and Lucy E. Dunne. 2018. Launderability of Surface-insulated Cut and Sew E-textiles. In Proceedings of the 2018 ACM International Symposium on Wearable Computers (ISWC '18). ACM, New York, NY, USA, 104--111. Google ScholarDigital Library
- Vivian Genaro Motti and Kelly Caine. 2014. Human factors considerations in the design of wearable devices. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Vol. 58. SAGE Publications Sage, CA: Los Angeles, CA, 1820--1824.Google ScholarCross Ref
- Vivian Genaro Motti and Kelly Caine. 2015. Micro interactions and Multi dimensional Graphical User Interfaces in the Design of Wrist Worn Wearables. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 59, 1 (2015), 1712--1716. arXiv:https://doi.org/10.1177/1541931215591370Google ScholarCross Ref
- Vivian Genaro Motti and Kelly Caine. 2015. Users' privacy concerns about wearables. In International Conference on Financial Cryptography and Data Security. Springer, 231--244.Google ScholarCross Ref
- Vivian Genaro Motti and Kelly Caine. 2016. Smart wearables or dumb wearables?: Understanding how context impacts the UX in wrist worn interaction. In Proceedings of the 34th ACM International Conference on the Design of Communication. ACM, New York, NY, USA, 10. Google ScholarDigital Library
- Daniel Siewiorek. 2017. Wearable Computing: Retrospectives on the First Decade. GetMobile: Mobile Comp. and Comm. 21, 1 (May 2017), 5--10. Google ScholarDigital Library
- T. Starner, J. Weaver, and A. Pentland. 1998. Real-time American sign language recognition using desk and wearable computer based video. IEEE Transactions on Pattern Analysis and Machine Intelligence 20, 12 (Dec 1998), 1371--1375. Google ScholarDigital Library
- Enrico Tanuwidjaja, Derek Huynh, Kirsten Koa, Calvin Nguyen, Churen Shao, Patrick Torbett, Colleen Emmenegger, and Nadir Weibel. 2014. Chroma: A Wearable Augmented-reality Solution for Color Blindness. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '14). ACM, New York, NY, USA, 799--810. Google ScholarDigital Library
- Hui Zheng and Vivian Genaro Motti. 2018. Assisting students with intellectual and developmental disabilities in inclusive education with smartwatches. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM, New York, NY, USA, 350. Google ScholarDigital Library
- Hui Zheng and Vivian Genaro Motti. 2017. Wearable Life: A Wrist-Worn Application to Assist Students in Special Education. In International Conference on Universal Access in Human-Computer Interaction. Springer, 259--276.Google ScholarCross Ref
- Hui Zheng and Vivian Genaro Motti. 2017. WeLi: A Smartwatch Application to Assist Students with Intellectual and Developmental Disabilities. In Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility. ACM, New York, NY, USA, 355--356. Google ScholarDigital Library
Index Terms
- Wearable Health: Opportunities and Challenges
Recommendations
Assistive wearables: opportunities and challenges
UbiComp/ISWC '19 Adjunct: Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable ComputersWearable technologies are body-worn devices, including smart clothes, e-textiles, and accessories. Wearables embed computational capabilities in garments to provide information, services and resources for end users. By being continuously worn, promptly ...
Lower-limb goniometry using stitched sensors: effects of manufacturing and wear variables
ISWC '14: Proceedings of the 2014 ACM International Symposium on Wearable ComputersSmart fabrics allow for convenient wearable sensing solutions to monitor body movements during our daily life. However, garment-integrated sensing presents challenges for accurate sensing, due many variables including those presented by variability in ...
Garment-integrated wearable sensing for knee joint monitoring
ISWC '14 Adjunct: Proceedings of the 2014 ACM International Symposium on Wearable Computers: Adjunct ProgramBody monitoring is one of the most intuitive and direct applications for technologies that are wearable. Wearable devices are capable of detecting body movements using wearable sensors, and using signals to capture anomalies as well as good patterns in ...
Comments