Online remote control of a robotic hand configurations using sEMG signals on a forearm
- Authors
- Lee, HanJin; Kim, Sin-Jung; Kim, Keehoon; Park, Myoung Soo; Kim, Sung-Kyun; Park, Jong Hyeon; Oh, Sang-Rok
- Issue Date
- Dec-2011
- Publisher
- IEEE
- Citation
- 2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011, pp.2243 - 2244
- Indexed
- SCOPUS
- Journal Title
- 2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011
- Start Page
- 2243
- End Page
- 2244
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/166886
- DOI
- 10.1109/ROBIO.2011.6181628
- 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.
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