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Assistive Technology
The Official Journal of RESNA
Volume 34, 2022 - Issue 5
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Articles

Sensitivity of Apple Watch fall detection feature among wheelchair users

, MPT, PTORCID Icon, , BS, , , MS, , PhD, , PhDORCID Icon, , MS & , PhD, MPT, ATP show all
Pages 619-625 | Accepted 20 Apr 2021, Published online: 25 May 2021
 

ABSTRACT

A reliable fall detection device is crucial to minimize long-term consequences of falls among wheelchair users. This study examines the sensitivity of Apple Watch to detect intentional falls from a wheelchair. Twenty-five able bodied (age: 21.9 ± 2.5 years) participated in a protocol in which they intentionally fell out of a wheelchair in a laboratory setting. Each participant wore an Apple Watch Series 5 and performed 3 falls in the forward, right and left sideways, and backward directions onto a crash pad totaling 12 falls each. The Apple Watch was manually checked after each fall to determine if the device registered a fall. From 300 fall trials captured, the Apple Watch detected 14 falls showing a sensitivity of 4.7%, a false negative rate of 95.3%. Logistic regression showed that participant’s height, impact force, lower limb functioning, and fall direction are parameters that may influence the ability of the Apple Watch to detect falls from a wheelchair. The Apple Watch fall detection feature presented with a very poor sensitivity to detect intentional falls from a wheelchair among able bodied young adults. Due to the high incidence and consequences of falls, a reliable fall detection device specific for wheelchair users is warranted.

Additional information

Funding

This study was supported by the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR) [# 90 REGE006-01-00], Technology to Support Aging.

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