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ASME Press Select Proceedings
International Conference on Computer Engineering and Technology, 3rd (ICCET 2011)
ISBN:
9780791859735
No. of Pages:
970
Publisher:
ASME Press
Publication date:
2011
eBook Chapter
55 Classification of Electromyogram Signal for Control of Robotic Gripper
By
Ahmad Nasrul Norali
,
Ahmad Nasrul Norali
School of Mechatronic Engineering,
Universiti Malaysia
, Perlis
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Suhairil Abu Suhor
Suhairil Abu Suhor
School of Mechatronic Engineering,
Universiti Malaysia
, Perlis
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Page Count:
6
-
Published:2011
Citation
Norali, AN, & Suhor, SA. "Classification of Electromyogram Signal for Control of Robotic Gripper." International Conference on Computer Engineering and Technology, 3rd (ICCET 2011). Ed. Zhou, J. ASME Press, 2011.
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This paper will look into the utilization of electromyogram (EMG) signal for control of a robotic gripper. EMG signal is acquired from flexor carpi ulnaris and flexor carpi radialis of the forearm. These are the muscles that responsible for wrist flexion and extension that brought to opening and closing of the hand. To link this with the control of robotic gripper, the EMG signal from the muscles will first be classified into two distinct groups which represents ‘hand open’ and ‘hand close’ gesture. In this study, EMG data corresponds to hand opening and closing was recorded from five subjects. Feature...
Abstract
Key Words
1. Introduction
2. Method
3. Feature Extraction
4. Classification Using SVM
5. Results
6. Conclusion
7. Summary & Future Development
References
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