Data from: Gesture Recognition by Instantaneous Surface EMG Images CapgMyo-DBa

Our CapgMyo database includes HD-sEMG data for 128 channels acquired from 23 intact subjects by using our newly developed acquisition device. The acquisition device has a matrix-type (8×16) differential electrode array with silver wet electrodes. The CapgMyo database consists of 3 sub-databases (DB-a, DB-b and DB-c); 8 isometric and isotonic hand gestures were obtained from 18 of the 23 subjects in DB-a. When using this data, please cite the publication: Geng W, Du Y, Jin W, et al. Gesture recognition by instantaneous surface EMG images[J]. Scientific reports, 2016, 6: 36571.<br>CapgMyo数据集包含由本团队自研肌电采集设备从23名无损伤健康受试者身上采集得到的128通道高密度表面肌电（HD-sEMG）数据。该肌电采集设备采用银质湿电极组成的矩阵式（8×16）差分电极阵列。CapgMyo数据集共包含3个子数据集（DB-a、DB-b与DB-c）；其中DB-a子数据集从23名受试者中的18名身上采集了8种等长与等张手部动作的肌电数据。使用本数据集时，请引用以下文献：耿伟、杜宇、金伟等. 基于瞬时表面肌电图像的手势识别[J]. 科学报告（Scientific reports）, 2016, 6: 36571.

搜集汇总

背景与挑战

背景概述

该数据集是一个高密度表面肌电图（sEMG）数据库，包含128通道数据，采集自23名受试者，主要用于手势识别研究。数据集包含3个子库，其中DB-a子库包含18名受试者的8种手势数据，采集设备采用8×16矩阵型电极阵列。