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20192026
most citedEMG Pattern Recognition via Bayesian Inference with Scale Mixture-Based Stochastic Generative Models

23 citations · 48 across the 14 of their papers we have counts for

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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…