HULM-sEMG

A sEMG dataset of human upper limb motions (HULM-sEMG) was constructed, incorporating six types of common daily upper limb motions with corresponding muscle contraction patterns. sEMG signals were collected across the whole-arm range. A total of 11 healthy participants (8 males\/ 3 females) are selected. Participants are free from all muscle disorders for the past months prior to data collection. Signal acquisition characteristics of the sEMG sensor are: 12-bit A\/D; sampling rate is 1000 samples\/sec; 16-channel high spatiotemporal resolution sampling technology (12 channels are used for sampling in this experiment).