人体手部精细化多手势及动作肌电数据

人体手部精细化多手势及动作肌电数据记录受试者前臂拮抗肌及主动肌的皮肤表面肌电信号，支持后续假肢手精细动作的运动意图解码及控制。根据手势引导视频或者实验人员命令，受试者依次完成10~15种离散动作及2~4个自由度连续动作，通过皮肤表面肌电传感器采集各种手势动作下的肌电信号，基于该肌电数据进行动作解码和假肢手控制。

This fine-grained multi-gesture and hand motion electromyography dataset records surface electromyography (sEMG) signals collected from the antagonistic and agonist muscles of the forearms of human subjects, which supports subsequent motor intention decoding and control for fine movements of prosthetic hands. Under the guidance of gesture demonstration videos or commands from experimenters, the subjects sequentially complete 10 to 15 discrete movements and 2 to 4 degrees-of-freedom continuous movements. Surface EMG sensors are used to collect sEMG signals under various gesture and motion scenarios, and the collected sEMG data can be applied for motion decoding and prosthetic hand control.

搜集汇总

背景与挑战

背景概述

该数据集包含人体手部精细化多手势及动作的肌电数据，通过皮肤表面肌电传感器采集受试者前臂肌肉信号，涵盖10~15种离散动作和2~4个自由度连续动作。这些数据旨在支持假肢手的运动意图解码与控制研究，应用于康复工程领域。