Gait phase recognition of lower limb exoskeleton system based on the integrated network model

[Display omitted] •A new gait recognition method based on integrated network model is proposed for identifying four phases in the gait cycle, including heel strike, foot flat, heel off and swing phase.•This paper adopts sparse autoencoder into the model to extract key features of gait information an...

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Vydané v:	Biomedical signal processing and control Ročník 76; s. 103693
Hlavní autori:	Zhang, Zaifang, Wang, Zhaoyang, Lei, Han, Gu, Wenquan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.07.2022
Predmet:	Bidirectional long short-term memory Deep neural network Exoskeleton robot Gait phase recognition Sparse autoencoder Deep neural network Sparse autoencoder Gait phase recognition Bidirectional long short-term memory Exoskeleton robot
ISSN:	1746-8094, 1746-8108
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