Mechanomyography Signal Pattern Recognition of Knee and Ankle Movements Using Swarm Intelligence Algorithm-Based Feature Selection Methods

Mechanomyography Signal Pattern Recognition of Knee and Ankle Movements Using Swarm Intelligence Algorithm-Based Feature Selection Methods

Pattern recognition of lower-limb movements based on mechanomyography (MMG) signals has a certain application value in the study of wearable rehabilitation-training devices. In this paper, MMG feature selection methods based on a chameleon swarm algorithm (CSA) and a grasshopper optimization algorit...

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Bibliographic Details
Main Authors: Yue Zhang, Maoxun Sun, Chunming Xia, Jie Zhou, Gangsheng Cao, Qing Wu
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Sensors
Subjects:
feature selection
chameleon swarm algorithm
grasshopper optimization algorithm
mechanomyography
pattern recognition
Online Access:https://www.mdpi.com/1424-8220/23/15/6939

Internet

https://www.mdpi.com/1424-8220/23/15/6939

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