DocumentCode :
2613963
Title :
A Prediction Method of Muscle Force Using sEMG
Author :
Li, Gang ; Chen, Haifeng ; Lee, Jungtae
Author_Institution :
Dept. of Comput. Sci. & Eng., Pusan Nat. Univ., Busan, South Korea
fYear :
2009
fDate :
17-20 April 2009
Firstpage :
501
Lastpage :
505
Abstract :
Surface electromyography (sEMG) technology is used to record and display the electrical activities of human muscles, by which researchers are able to make a muscle force evaluation. In this study, in order to accurately feedback the information about athletes´ forearm force training, the Maximum Voluntary Contraction (MVC) is proved as the indicator of maximum forearm muscle force by developing a winner prediction method of arm wrestling game. Experiment results based on healthy 12 volunteers´ (all males, average age is 25 plusmn 3) are reported in this paper. The results show that the prediction method can be accurately performed so as to estimate who is the winner.
Keywords :
bioelectric phenomena; biomedical measurement; electromyography; force measurement; medical signal processing; sport; arm wrestling game; athlete; electrical activities; forearm force training; human muscles; maximum voluntary contraction; muscle force evaluation; prediction method; surface electromyography; Computer science; Electrodes; Electromyography; Force control; Force feedback; Force measurement; Muscles; Prediction methods; Signal processing; Springs; MVC; arm wrestling; athletes´ force training; sEMG signal processing; surface electromyography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology - Spring Conference, 2009. IACSITSC '09. International Association of
Conference_Location :
Singapore
Print_ISBN :
978-0-7695-3653-8
Type :
conf
DOI :
10.1109/IACSIT-SC.2009.11
Filename :
5169403
Link To Document :
بازگشت