ISRMyo-I: A database for sEMG-based hand gesture recognition

Citation Author(s):
Yinfeng Fang, Dalin Zhou, Kairu Li, Honghai Liu
Submitted by:
Yinfeng Fang
Last updated:
Thu, 11/08/2018 - 10:34
DOI:
10.21227/H26Q26
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Abstract 

 

This repository aims to publish a sEMG database for hand gesture recongnition, which is suitable for intra-session, inter-session, inter-day and inter-subject tests. Six subjects were involved in data collection on ten days, and two sessions a day with the interval of half an hour. In each session, one trial (10 secondes) for each geature was conducted. The electrode sleeve did not reweared between two sessions in a day. The utilised sEMG device was customised by the Intelligent System and Biomedical Robotics Group, which was discussed in [1]. 

 

Comments

I would like have access to data set.

Submitted by masoumeh hosseini on Tue, 07/09/2024 - 16:29