Beta Artificial Bee Colony Algorithm for EMG Feature Selection
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-5868-7_1
Reference29 articles.
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3. Atzori M et al (2014) Electromyography data for non-invasive naturally-controlled robotic hand prostheses. Sci Data 1:1–13
4. Shi W-T et al (2018) A bionic hand controlled by hand gesture recognition based on surface EMG signals: A preliminary study. Biocybernetics Biomed Eng 38:126–135
5. Sharma T et al (2021) Decomposition and evaluation of SEMG for hand prostheses control. Measurement 186:110102
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1. Optimized k-nearest neighbors for classification of prosthetic hand movements using electromyography signal;Engineering Applications of Artificial Intelligence;2024-07
2. BiomacEMG: A Pareto-Optimized System for Assessing and Recognizing Hand Movement to Track Rehabilitation Progress;Applied Sciences;2023-05-06
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