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Online Remote Control of a Robotic Hand Configurations Using sEMG Signals on a Forearm

Title
Online Remote Control of a Robotic Hand Configurations Using sEMG Signals on a Forearm
Author
박종현
Keywords
Data acquisition; Electrodes; Feature extraction; Protocols; Robots; Training; Training data
Issue Date
2011-12
Publisher
Robotics and Biomimetics (ROBIO)
Citation
Institute of Electrical and Electronics Engineers, 2011, 2011, P.2243-2244
Abstract
This study presents an online remote control of a robotic hand using sEMG signals on a forearm. Eight skin surface electrodes were mounted on a forearm to detect the sEMG signals that correspond to four hand configurations and rest condition. In order to enhance learning speed and performance of the classifier, a supervised feature extraction method and a fast learning classifier were proposed. The hand configurations classified from the sEMG signals were delivered to a remote side robot hand via TCP-IP protocols. The demonstration verified that human could control the remote side robot hand in real-time using his or her sEMG signals with less than 50 seconds recorded training data.
URI
https://ieeexplore.ieee.org/abstract/document/6181628/http://repository.hanyang.ac.kr/handle/20.500.11754/70549
DOI
10.1109/ROBIO.2011.6181628
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > MECHANICAL ENGINEERING(기계공학부) > Articles
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