Effects of Different Feature Parameters of sEMG on Human Motion Pattern Recognition Using Multilayer Perceptrons and LSTM Neural Networks

Effects of Different Feature Parameters of sEMG on Human Motion Pattern Recognition Using Multilayer Perceptrons and LSTM Neural Networks

In response to the need for an exoskeleton to quickly identify the wearer’s movement mode in the mixed control mode, this paper studies the impact of different feature parameters of the surface electromyography (sEMG) signal on the accuracy of human motion pattern recognition using multilayer percep...

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Bibliographic Details
Main Authors: Jiyuan Song, Aibin Zhu, Yao Tu, Hu Huang, Muhammad Affan Arif, Zhitao Shen, Xiaodong Zhang, Guangzhong Cao
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Applied Sciences
Subjects:
surface electromyography
movement pattern
movement intention
exoskeleton
Online Access:https://www.mdpi.com/2076-3417/10/10/3358

Internet

https://www.mdpi.com/2076-3417/10/10/3358

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