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초록
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.
키워드
Enhance learning; Fast learning; Feature extraction methods; Hand configuration; Robot hand; Skin surfaces; Training data; Biomimetics; Feature extraction; Remote control; Robotics; Transmission control protocol; Robotic arms
- 제목
- Online remote control of a robotic hand configurations using sEMG signals on a forearm
- 저자
- Lee, HanJin; Kim, Sin-Jung; Kim, Keehoon; Park, Myoung Soo; Kim, Sung-Kyun; Park, Jong Hyeon; Oh, Sang-Rok
- 발행일
- 2011-12
- 유형
- Conference Paper
- 저널명
- 2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011
- 페이지
- 2243 ~ 2244