The Application of Artificial Intelligence in Digital Physical Activity and Falls Prevention Interventions for Older Adults

David Wong; Siobhan O'Connor; Emma Stanmore

doi:10.1123/japa.2022-0376

The Application of Artificial Intelligence in Digital Physical Activity and Falls Prevention Interventions for Older Adults

David Wong, Siobhan O'Connor, Emma Stanmore

Nursing & Midwifery

Research output: Contribution to journal › Article › peer-review

Abstract

This article discusses the practical applications of artificial intelligence in digital physical activity and falls prevention interventions for older adults. It notes the range of technologies that can be used to collect digital datasets on older adult health and how machine learning algorithms can be applied to these to improve our understanding of physical activity and falls. In particular, these advanced computational techniques could help personalize exercises, feedback, and notifications to older people, improve adherence to and reduce attrition from digital health interventions, and enhance monitoring by providing predictive analytics on the physiological and environmental conditions that contribute to physical activity and falls in aging populations.

Original language	English
Pages (from-to)	887-889
Number of pages	3
Journal	Journal of Aging and Physical Activity
Volume	31
Issue number	5
DOIs	https://doi.org/10.1123/japa.2022-0376
Publication status	Published - 20 Apr 2023

Keywords

artificial intelligence

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10.1123/japa.2022-0376

HARG: Healthy Ageing Research Group
Todd, C. (Researcher), Stanmore, E. (Researcher), Hall, A. (Researcher), Littlewood, A. (Researcher), Davies, A. (Researcher), Sowerbutts, A. M. (Researcher), Maharani, A. (Researcher), Dowding, D. (Researcher), Jones, D. (Researcher), Boulton, L. (Researcher), Cruickshank, F. (Researcher), Hawley-Hague, H. (Researcher), Brooks, J. (Researcher), Griffiths, J. (Researcher), Spencer, K. (Researcher), Fisher, K. (Researcher), Mcgarrigle, L. (Researcher), Cook, M. (Researcher), Pendleton, N. (Researcher), Stanford, P. (Researcher), Lasrado, R. (Researcher), Ahmed, S. (Researcher), Clinch, S. (Researcher), Burden, S. (Researcher), Gluchowski, A. (Researcher), Ford, C. (PGR student), Al Zadjali, F. (PGR student), Sremanakova, J. (PGR student), Fisher, K. (PGR student), Zougar, M. (PGR student), Almohaisen, N. (PGR student), Yang, Y. (PGR student), Mckenzie, Y. (PGR student), O'Connor, S. (Researcher), Aminu, A. (Researcher), Bosco, A. (Researcher), Parchment, A. (Researcher), Money, A. (Researcher), Mackenzie, A. (Researcher), Karki, B. (PGR student), Poku, B. (Researcher), Eost-Telling, C. (Researcher), French, C. (PGR student), Harris, D. (PGR student), Andah, E. (Researcher), Vardy, E. (Researcher), Hakeem, F. (Researcher), Donald, G. (Researcher), Bilsborough, H. (PGR student), Gangannagaripalli, J. (Researcher), Astbury, J. (Researcher), Garsden, J. (Researcher), Ventre, J. (Researcher), Aguilera Munoz, J. (Researcher), Allsopp, K. (Researcher), Mcgarrigle, L. (Researcher), Mott, L. (PGR student), Huang, L. (Researcher), Tomkow, L. (Researcher), Ahmed, N. (Researcher), Fox, S. (Researcher), Mcdermott, J. (Researcher), Hoodless, S. (Researcher), Dlima, S. (PGR student), Shi, Y. (PGR student) & Tang, Y. (PGR student)
Project: Research

Cite this

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abstract = "This article discusses the practical applications of artificial intelligence in digital physical activity and falls prevention interventions for older adults. It notes the range of technologies that can be used to collect digital datasets on older adult health and how machine learning algorithms can be applied to these to improve our understanding of physical activity and falls. In particular, these advanced computational techniques could help personalize exercises, feedback, and notifications to older people, improve adherence to and reduce attrition from digital health interventions, and enhance monitoring by providing predictive analytics on the physiological and environmental conditions that contribute to physical activity and falls in aging populations.",

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The Application of Artificial Intelligence in Digital Physical Activity and Falls Prevention Interventions for Older Adults

Abstract

Keywords

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HARG: Healthy Ageing Research Group

Cite this