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

David Wong, Siobhán O'Connor, Emma Stanmore

Research output: Contribution to journalArticlepeer-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 languageEnglish
Pages (from-to)887-889
Number of pages3
JournalJournal of Ageing and Physical Activit
Volume31
Issue number5
Early online date20 Apr 2023
DOIs
Publication statusPublished - Oct 2023

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