Open Access Dataset and Toolbox of High-Density Surface Electromyogram Recordings

We provide an open access dataset of _High densitY Surface Electromyogram_ (HD-sEMG) _Recordings_ (named " _Hyser_ "). We acquired data from 20 subjects with each subject participating in our experiment twice on separate days following the same experiment paradigm. Our _Hyser_ dataset contains five sub- datasets: (1) pattern recognition (PR) dataset acquired during 34 hand gestures, (2) maximal voluntary muscle contraction (MVC) dataset while subjects contracted each individual finger, (3) one-degree of freedom (DoF) dataset acquired during force-varying contraction of each individual finger, (4) N-DoF dataset acquired during prescribed contractions of combinations of multiple fingers, and (5) random task dataset acquired during random contraction of combinations of fingers without any prescribed force trajectory. Sub-dataset 1 can be used for gesture recognition studies. Sub- datasets 2-5 also recorded individual finger forces, thus can be used for studies on proportional control of neuroprostheses.