A Class-Imbalanced Deep Learning Fall Detection Algorithm Using Wearable Sensors

Falling represents one of the most serious health risks for elderly people; it may cause irreversible injuries if the individual cannot obtain timely treatment after the fall happens. Therefore, timely and accurate fall detection algorithm research is extremely important. Recently, a number of resea...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 21; H. 19; S. 6511
Hauptverfasser:	Zhang, Jing, Li, Jia, Wang, Weibing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 29.09.2021 MDPI
Schlagworte:	Algorithms class imbalance Deep learning fall detection Machine learning Medical research Methods Neural networks Older people Sensors Support vector machines Wearable computers wearable sensor
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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