EMG Feature Selection and Classification Using a Pbest-Guide Binary Particle Swarm Optimization

EMG Feature Selection and Classification Using a Pbest-Guide Binary Particle Swarm Optimization

Due to the increment in hand motion types, electromyography (EMG) features are increasingly required for accurate EMG signals classification. However, increasing in the number of EMG features not only degrades classification performance, but also increases the complexity of the classifier. Feature s...

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Bibliographic Details
Main Authors: Jingwei Too, Abdul Rahim Abdullah, Norhashimah Mohd Saad, Weihown Tee
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Computation
Subjects:
feature selection
classification
electromyography
binary particle swarm optimization
genetic algorithm
binary differential evolution
discrete wavelet transform
Online Access:https://www.mdpi.com/2079-3197/7/1/12

Internet

https://www.mdpi.com/2079-3197/7/1/12

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