A real-time gesture classification using surface EMG to control a robotics hand

Abstract : This paper addresses the development of a testing algorithm for pattern-recognition-based strategies to control a myoelectric prothesis. This text describes the structure and components of the proposed algorithm, as well as a process of its testing. The latter included an acquisition of an accompanying EMG, for six different gestures (classes) from seven subjects, as well as its processing, feature extraction, training the classifier and further real-time validation with a robotic hand. The results show that the system provides acceptable classification rates.
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Communication dans un congrès
ENOC 2017 , Jun 2017, Budapest, Hungary. 2017
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https://hal.archives-ouvertes.fr/hal-01707679
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Konstantin Akhmadeev, Elena Rampone, Tianyi Yu, Yannick Aoustin, Éric Le Carpentier. A real-time gesture classification using surface EMG to control a robotics hand. ENOC 2017 , Jun 2017, Budapest, Hungary. 2017. 〈hal-01707679〉

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