Fall Detection Algorithm Based on Inertial Sensor and Hierarchical Decision

With the aging of the human body and the reduction in its physiological capacities, falls have become a huge threat to individuals’ physical and mental health, leading to serious bodily damage to the elderly and financial pressure on their families. As a result, it is vital to design a fall detectio...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 23; H. 1; S. 107
Hauptverfasser:	Zheng, Liang, Zhao, Jie, Dong, Fangjie, Huang, Zhiyong, Zhong, Daidi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 22.12.2022 MDPI
Schlagworte:	Accuracy Aged Aging Algorithms Analysis Behavior Classification Datasets Decision making fall detection feature dimensionality reduction Global positioning systems GPS Humans Machine learning Methods Monitoring, Ambulatory - methods Neural networks Older people Sensors Support vector machines Wearable computers XGBoost China XGBoost fall detection feature dimensionality reduction
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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