DocumentCode :
669320
Title :
Classification of grip configuration using surface EMG
Author :
Jimin Lee ; Joowan Kim ; Jaeheung Park
Author_Institution :
Dept. of Transdisplinary Studies, Seoul Nat. Univ., Seoul, South Korea
fYear :
2013
fDate :
20-23 Oct. 2013
Firstpage :
173
Lastpage :
176
Abstract :
Surface EMG is a bio-potential signal from muscles, which has been used in various fields such as medical diagnosis and engineering applications. The surface EMG from forearm muscles can be used for the classification of the hand configurations because the surface EMG on the forearm is related to wrist and hand motion. In this paper, four hand grip configurations are classified depending on which fingers are used for the grasping of a cylindrical shape object. The experimental results show the feasibility of classifying grip configurations using surface EMG signals on the forearm.
Keywords :
electromyography; medical signal processing; signal classification; bio-potential signal; cylindrical shape object; electromyogram signal; forearm muscles; grip configuration; hand configurations; hand motion classfication; surface EMG; Approximation methods; Electromyography; Kernel; Matrix decomposition; Hand motion classification; Surface EMG;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems (ICCAS), 2013 13th International Conference on
Conference_Location :
Gwangju
ISSN :
2093-7121
Print_ISBN :
978-89-93215-05-2
Type :
conf
DOI :
10.1109/ICCAS.2013.6703886
Filename :
6703886
Link To Document :
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