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A Multi-Variate Approach to Predicting Myoelectric Control Usability
2021
IEEE transactions on neural systems and rehabilitation engineering
Pattern recognition techniques leveraging the use of electromyography signals have become a popular approach to provide intuitive control of myoelectric devices. Performance of these control interfaces is commonly quantified using offline classification accuracy, despite studies having shown that this metric is a poor indicator of usability. Researchers have identified alternative offline metrics that better correlate with online performance; however, the relationship has yet to be fully
doi:10.1109/tnsre.2021.3094324
fatcat:ljdizdkgszev5iprkzjanrzm2a