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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Autors principals:	Jingwei Too, Abdul Rahim Abdullah, Norhashimah Mohd Saad, Weihown Tee
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2019-02-01
Col·lecció:	Computation
Matèries:	feature selection classification electromyography binary particle swarm optimization genetic algorithm binary differential evolution discrete wavelet transform
Accés en línia:	https://www.mdpi.com/2079-3197/7/1/12
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