Deep Learning to Predict Falls in Older Adults Based on Daily-Life Trunk Accelerometry
Early detection of high fall risk is an essential component of fall prevention in older adults. Wearable sensors can provide valuable insight into daily-life activities; biomechanical features extracted from such inertial data have been shown to be of added value for the assessment of fall risk. Bod...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-05-01
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Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/18/5/1654 |