Fall detection and prevention for the elderly: A review of trends and challenges

Nashwa El-Bendary, Qing Tan, Frédérique C. Pivot, Anthony Lam

Research output: Contribution to journalJournal Articlepeer-review

81 Citations (Scopus)

Abstract

It is of little surprise that falling is often accepted as a natural part of the aging process. In fact, it is the impact rather than the occurrence of falls in the elderly, which is of most concern. Aging people are typically frailer, more unsteady, and have slower reactions, thus are more likely to fall and be injured than younger individuals. Typically, research and industry presented various practical solutions for assisting the elderly and their caregivers against falls via detecting falls and triggering notification alarms calling for help as soon as falls occur in order to diminish fall consequences. Furthermore, fall likelihood prediction systems have been emerged lately based on the manipulation of the medical and behavioral history of elderly patients in order to predict the possibility of falls occurrence. Accordingly, response from caregivers may be triggered prior to most fall occurrences and accordingly prevent falls from taking place. This paper presents an extensive review for the state-of-the-art trends and technologies of fall detection and prevention systems assisting the elderly people and their caregivers. Furthermore, this paper discusses the main challenges, facing elderly fall prevention, along with suggestions for future research directions.

Original languageEnglish
Pages (from-to)1230-1266
Number of pages37
JournalInternational Journal on Smart Sensing and Intelligent Systems
Volume6
Issue number3
DOIs
Publication statusPublished - Jun. 2013

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