A New Competitive Binary Grey Wolf Optimizer To Solve The Feature Selection Problem In EMG Signals Classification

• Main Authors: Too, Jing Wei, Abdullah, Abdul Rahim, Mohd Saad, Norhashimah, Mohd Ali, Nursabillilah, Tee, Wei Hown
• Format: Article
• Language: English
• Published: MDPI AG 2018
• Subjects: T Technology (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utem.edu.my/id/eprint/23003/2/A%20New%20Competitive%20Binary%20GreyWolf%20Optimizer.pdf; http://eprints.utem.edu.my/id/eprint/23003/; https://www.mdpi.com/2073-431X/7/4/58/htm

Features extracted from the electromyography (EMG) signal normally consist of irrelevant and redundant features. Conventionally, feature selection is an effective way to evaluate the most informative features, which contributes to performance enhancement and feature reduction. Therefore, this articl...