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http://dx.doi.org/10.9718/JBER.2008.29.3.205

Detection of Hand Motions using Cross-correlation of Surface EMG  

Lee, Yong-H. (Department of Computer Engineering, Halla University)
Choi, Chun-H. (Department of Computer Engineering, Halla University)
Kim, Soon-S. (Department of Computer Engineering, Halla University)
Kim, Dong-H. (Department of Computer Engineering, Halla University)
Publication Information
Journal of Biomedical Engineering Research / v.29, no.3, 2008 , pp. 205-211 More about this Journal
Abstract
A method of detecting the specific patterns related to hand motions using the surface EMG(electromyogram) on an arm is proposed and tested. To do this, we obtain separately modeling parameters based on the LP, Prony estimator, and calculate the latency shift value between channels by cross-correlation function. Then, the coefficients and latency shift value are applied to the detection method to classify the EMG signals related to hand motions. Compared with the conventional methods, the present method are more useful to detect the motion intention of the user as an input device in the mobile and wearable computing environments. And, We expect that the results of this study are helpful in the development of rehabilitation devices for the handicapped.
Keywords
EMG; LP; Prony; correlation; Input device;
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