Extreme Gradient Boosting for Limb Position Invariant Myoelectric Pattern Recognition

2020 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)(2020)

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摘要
Myoelectric control has a wide range of potential applications including the design of human-machine interfaces for assistive technologies and robotics (prostheses and orthoses) as well as powered exoskeletons. The current work focuses on the Extreme Gradient Boosting - one of the most popular pattern recognition strategies for decoding the information of surface electromyography (sEMG) signals to...
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关键词
Pattern classification,Optimization methods,Wearable robots,Muscles,Boosting,Feature extraction,Electromyography
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