Inertial Measurement Unit-Based Real-Time Adaptive Algorithm for Human Walking Pattern and Gait Event Detection

In this work, a lightweight adaptive hybrid gait detection method with two inertial measurement units (IMUs) on the foot and thigh was developed and preliminarily evaluated. An adaptive detection algorithm is used to eliminate the pre-training phase and to modify parameters according to the changes...

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Veröffentlicht in:	Electronics (Basel) Jg. 12; H. 20; S. 4319
Hauptverfasser:	Lu, Yinxiao, Zhu, Jun, Chen, Wenming, Ma, Xin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.10.2023
Schlagworte:	Adaptive algorithms Adhesives Algorithms Cables Gait Gait recognition Inertial measurement units Inertial platforms Knee Machine learning Mathematical models Motion perception Orthopedic apparatus Parameter modification Real time Self-help devices for the disabled Sensors Thigh Time lag Training Velocity Walking China United States > US
ISSN:	2079-9292, 2079-9292
Online-Zugang:	Volltext
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