Multi-feature gait recognition with DNN based on sEMG signals

Multi-feature gait recognition with DNN based on sEMG signals

This study proposed a gait recognition method based on the deep neural network of surface electromyography (sEMG) signals to improve the stability and accuracy of gait recognition using sEMG signals of the lower limbs. First, we determined the parameters of time domain features, including the mean o...

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Bibliographic Details
Main Authors: Ting Yao, Farong Gao, Qizhong Zhang, Yuliang Ma
Format: Article
Language:English
Published: AIMS Press 2021-05-01
Series:Mathematical Biosciences and Engineering
Subjects:
gait recognition
multi-feature fusion
deep neural network (dnn)
robustness and stability
Online Access:http://www.aimspress.com/article/doi/10.3934/mbe.2021177?viewType=HTML

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