Repeatability of grasp recognition for robotic hand prosthesis control based on sEMG data

Control methods based on sEMG obtained promising results for hand prosthetics. Control system robustness is still often inadequate and does not allow the amputees to perform a large number of movements useful for everyday life. Only few studies analyzed the repeatability of sEMG classification of hand grasps. The main goals of this paper are to explore repeatability in sEMG data and to release a repeatability database with the recorded experiments. The data are recorded from 10 intact subjects repeating 7 grasps 12 times, twice a day for 5 days. The data are publicly available on the Ninapro web page as the 6th database. The analysis for the repeatability is based on the comparison of movement classification accuracy in several data acquisitions and for different subjects.

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Bibtext Citation:

@inproceedings{palermo2017repeatability, title={Repeatability of grasp recognition for robotic hand prosthesis control based on sEMG data},author={Palermo, Francesca and Cognolato, Matteo and Gijsberts, Arjan and Muller, Henning and Caputo, Barbara and Atzori, Manfredo},booktitle={2017 International Conference on Rehabilitation Robotics (ICORR)},pages={1154--1159},year={2017}, organization={IEEE}}