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eess.SP2023
Bayesian Approach for Adaptive EMG Pattern Classification Via Semi-Supervised Sequential Learning
Seitaro Yoneda, Akira Furui
Intuitive human-machine interfaces may be developed using pattern classification to estimate executed human motions from electromyogram (EMG) signals generated during muscle contra…
eess.SP2023★ 1 cited
Evaluating Classifier Confidence for Surface EMG Pattern Recognition
Akira Furui
Surface electromyogram (EMG) can be employed as an interface signal for various devices and software via pattern recognition. In EMG-based pattern recognition, the classifier shoul…