Covariate shift adaptation in EMG pattern recognition for prosthetic device control
Published: Aug 1, 2014
Abstract
Ensuring robustness of myocontrol algorithms for prosthetic devices is an important challenge. Robustness needs to be maintained under nonstationarities, e.g. due to electrode shifts after donning and doffing, sweating, additional weight or varying arm positions. Such nonstationary behavior changes the signal distributions - a scenario often referred to as covariate shift. This circumstance causes a significant decrease in classification...
Paper Details
Title
Covariate shift adaptation in EMG pattern recognition for prosthetic device control
Published Date
Aug 1, 2014
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