Performance of Force Myography and Surface Electromyography in Level of Muscle Activity Classification: A Preliminary Study

Souha Baklouti (1, 2) , Taysir Rezgui (3) , Abdelbadiâ Chaker (1, 2) , Safa Mefteh (4, 2) , Azza Tayari (1, 2) , Anis Sahbani (4, 5) , Khalil Ben Mansour (6, 2) , Frédéric Marin (6, 2) , Sami Bennour (1, 2)

1 ENISo - National Engineering School of Sousse / Ecole Nationale d'Ingénieurs de Sousse
2 Université de Sousse
3 Ecole Polytechnique de Tunisie
4 Enova Robotics S.A.
5 ISIR - Institut des Systèmes Intelligents et de Robotique
6 BMBI - Biomécanique et Bioingénierie

Domaines: Biomécanique [physics.med-ph]

Souha Baklouti, Taysir Rezgui, Abdelbadiâ Chaker, Safa Mefteh, Azza Tayari, et al.. Performance of Force Myography and Surface Electromyography in Level of Muscle Activity Classification: A Preliminary Study. Computer Methods in Biomechanics and Biomedical Engineering, 2022, 47th congress of the Société de Biomécanique, 25 (sup1), pp.S17-S20. ⟨10.1080/10255842.2022.2116885⟩. ⟨hal-03846321v2⟩