This work propose a personalized protocol for muscle computer interface that uses finger movements as input commands. In previous studies, the same finger movements have been used for all subjects without considering personal characteristics. Finger Read more…
This work suggests a supervised hierarchical Bayesian model for surface electromyography (sEMG)-based motion classification and its strategy analysis. The proposed model unifies the optimal feature extraction and classification through probabilistic inference and learning by identifying Read more…
This paper presents an application of noninvasive sEMG-based interface to humanoid robot navigation control between remote places via wireless internet communication. sEMG signals to recognize three wrist movements are measured from the skin of a Read more…