Yinfeng Fang, Dalin Zhou, Kairu Li, Honghai Liu

 

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]. 

 

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Yinfeng Fang, Dalin Zhou, Kairu Li, Honghai Liu [1] Yinfeng Fang, Dalin Zhou, Kairu Li, Honghai Liu, "ISRMyo-I: A database for sEMG-based hand gesture recognition", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H26Q26. Accessed: Sep. 18, 2020.
@data{h26q26-18,
doi = {10.21227/H26Q26},
url = {http://dx.doi.org/10.21227/H26Q26},
author = {Yinfeng Fang; Dalin Zhou; Kairu Li; Honghai Liu },
publisher = {IEEE Dataport},
title = {ISRMyo-I: A database for sEMG-based hand gesture recognition},
year = {2018} }
TY - DATA
T1 - ISRMyo-I: A database for sEMG-based hand gesture recognition
AU - Yinfeng Fang; Dalin Zhou; Kairu Li; Honghai Liu
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H26Q26
ER -
Yinfeng Fang, Dalin Zhou, Kairu Li, Honghai Liu. (2018). ISRMyo-I: A database for sEMG-based hand gesture recognition. IEEE Dataport. http://dx.doi.org/10.21227/H26Q26
Yinfeng Fang, Dalin Zhou, Kairu Li, Honghai Liu, 2018. ISRMyo-I: A database for sEMG-based hand gesture recognition. Available at: http://dx.doi.org/10.21227/H26Q26.
Yinfeng Fang, Dalin Zhou, Kairu Li, Honghai Liu. (2018). "ISRMyo-I: A database for sEMG-based hand gesture recognition." Web.
1. Yinfeng Fang, Dalin Zhou, Kairu Li, Honghai Liu. ISRMyo-I: A database for sEMG-based hand gesture recognition [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H26Q26
Yinfeng Fang, Dalin Zhou, Kairu Li, Honghai Liu. "ISRMyo-I: A database for sEMG-based hand gesture recognition." doi: 10.21227/H26Q26