肌电sEMG步态相位分类研究数据集

本数据集由深圳先进技术研究院智能仿生中心团队于2021年9月在深圳先进技术研究院得到，主要经过了肌电数据采集，肌电数据处理的实施过程，主要基于第三方肌电数据采集系统 DataLOG PS850 系统实现，该数据集包括了10位志愿者在跑步机平台进行平地行走状态下原始表面肌电数据及关节角数据，用于步态相位识别。数据大小为17.4MB。

This dataset was collected by the team from the Intelligent Bionics Center, Shenzhen Institute of Advanced Technology (SIAT) in September 2021 at SIAT. It was generated through the workflows of surface electromyography (sEMG) data collection and processing, which was implemented based on the third-party sEMG data acquisition system, DataLOG PS850. The dataset includes raw surface electromyography data and joint angle data from 10 volunteers during level walking on a treadmill platform, and is intended for gait phase recognition research. The total size of the dataset is 17.4 MB.

搜集汇总

背景与挑战

背景概述

该数据集包含10位志愿者在平地行走时的肌电和关节角数据，用于步态相位识别研究，数据量为17.4MB，采集于2021年9月。