Selecting and utilizing wearable devices

6. Resources

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Ehn, M., Eriksson, L. C., Åkerberg, N., & Johansson, A. C. (2018). Activity monitors as support for older persons’ physical activity in daily life: qualitative study of the users’ experiences. JMIR mHealth and uHealth, 6(2), e8345. https://doi.org/10.2196/mhealth.8345

Frey-Law, L. A., Merkle, S. L., Dailey, D., & Sluka, K. A. (2024). Nonlinear modification to Hildebrand equation for accelerometry assessment of physical activity: improved accuracy for low activity levels. Exploration of Musculoskeletal Diseases, 2(5), 408-422. https://doi.org/10.37349/emd.2024.00066

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Gao, W., Du, K., Luo, Y., Shi, W., & Shi, Y. (2024). EasyAsk: An In-App Contextual Tutorial Search Assistant for Older Adults. Interactive, Mobile, Wearable and Ubiquitous Technologies, 8, 3. https://doi.org/10.1145/3678516

Greengard, S., Virtual Reality. 2019: MIT Press.

Jacobson, B.H., Smith, D., Fronterhouse, J., Kline, C., & Boolani, A. (2012). Assessment of the benefit of powered exercises for muscular endurance and functional capacity in elderly participants, Journal of Physical Activity and Health, 9, 1030-1035. https://doi.org/10.1123/jpah.9.7.1030

Kaplan, A.D., et al., The Effects of Virtual Reality, Augmented Reality, and Mixed Reality as Training Enhancement Methods: A Meta-Analysis. Human Factors, 2021. 63(4): p. 706-726.

Kanning, M. & Schlicht, W. (2010). Be active and become happy: an ecological momentary assessment of physical activity and mood. Journal of Sport and Exercise Psychology, 32, 253-261. https://doi.org/10.1123/jsep.32.2.253

Kimura, N., Masuda, T., Ataka, T., & Matsubara, E. (2024). Relationship between measured conversation time and social behavior in community-dwelling older adults. Frontiers in Neurology, 15 https://doi.org/10.3389/fneur.2024.1479296

Kononova, A., Li, L., Kamp, K., Bowen, M., Rikard, R. V., Cotten, S., & Peng, W. (2019). The use of wearable activity trackers among older adults: focus group study of tracker perceptions, motivators, and barriers in the maintenance stage of behavior change. JMIR mHealth and uHealth, 7(4), e9832. https://doi.org/10.2196/mhealth.9832

Lee, J. Y., & Lee, S. Y. (2024). Development of AI-based predictive algorithm for early diagnosis of high-risk dementia groups among the elderly: Utilizing health lifelog data. Healthcare, 12(18), 1872. https://doi.org/10.3390/healthcare12181872

Li, J., Ma, Q., Chan, A. H., & Man, S. (2019). Health monitoring through wearable technologies for older adults: Smart wearables acceptance model. Applied Ergonomics, 75, 162-169. https://doi.org/10.1016/j.apergo.2018.10.006

Lin, Charles & Lee, Chaiwoo & Lally, Dennis & Coughlin, Joseph. (2018). Impact of Virtual Reality (VR) Experience on Older Adults’ Well-Being. 10.1007/978-3-319-92037-5_8.

Liang, P. (2024). Development of Next Generation Assistive Wearable Device. Unpublished thesis dissertation, University of Technology Sydney.

Mandal, S. Brief Introduction of Virtual Reality & its Challenges. 2013.

Martinato, M., Lorenzoni, G., Zanchi, T., et al. (2021). Usability and accuracy of a smartwatch for the assessment of physical activity in the elderly population: Observational study. JMIR mHealth and uHealth, 9(5), e20966. https://doi.org/10.2196/20966

Moore, K., O'Shea, E., Kenny, L., Barton, J., Tedesco, S., Sica, M., ... & Timmons, S. (2021). Older adults’ experiences with using wearable devices: qualitative systematic review and meta-synthesis. JMIR mHealth and uHealth, 9(6), e23832. https://doi.org/10.2196/23832

Nurmi, J., Knittle, K., Ginchev, T., Khattak, F., Helf, C., Zwickl, P., ... & Haukkala, A. (2020). Engaging users in the behavior change process with digitalized motivational interviewing and gamification: Development and feasibility testing of the PRECIOUS app. JMIR mHealth and uHealth, 8(1), e12884. https://doi.org/10.2196/12884

Olmedo-Aguirre, J. O., Reyes-Campos, J., Alor-Hernandez, G., Machorro-Cano, I., Rodriguez-Mazahua, L., & Sanchez-Cervantes, J. L. (2022). Remote healthcare for elderly people using wearables: A review. Biosensors, 12(2), 73. https://doi.org/10.3390/bios12020073

Paraschiakos, S., Cachucho, R., Moed, M. et al. Activity recognition using wearable sensors for tracking the elderly. User Modeling and User-Adapted Interaction, 30, 567–605. https://doi.org/10.1007/s11257-020-09268-2

Peng, W., Li, L., Kononova, A., Cotten, S., Kamp, K., & Bowen, M. (2021). Habit formation in wearable activity tracker use among older adults: qualitative study. JMIR mHealth and uHealth, 9(1), e22488. https://doi.org/10.2196/22488

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Saleh Kalantari, Tong Bill Xu, Armin Mostafavi, Benjamin Kim, Andrew Dilanchian, Angella Lee, Walter R Boot, Sara J Czaja, Using Immersive Virtual Reality to Enhance Social Interaction Among Older Adults: A Cross-Site Investigation, Innovation in Aging, Volume 7, Issue 4, 2023, igad031, https://doi.org/10.1093/geroni/igad031

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