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

Classification en temps réel pour la commande d'une main robotique

Konstantin Akhmadeev (1, 2) , Elena Rampone , Tianyi Yu , Yannick Aoustin (2) , Éric Le Carpentier (2)

1 UN UFR ST - Université de Nantes - UFR des Sciences et des Techniques
2 LS2N - Laboratoire des Sciences du Numérique de Nantes

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.

Domaines: Robotique [cs.RO]

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. ⟨hal-01707679⟩