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

David Wong; Siobhán 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, Siobhán O'Connor, Emma Stanmore

Digital Health & Applied Tech Assessment

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

1 Citation (Scopus)

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 Ageing and Physical Activit
Volume	31
Issue number	5
Early online date	20 Apr 2023
DOIs	https://doi.org/10.1123/japa.2022-0376
Publication status	Published - Oct 2023

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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

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