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- W2391415220 abstract "Objective: To present an identification method of human hand motion using the ratio of variance in each frequency section of multi-channel EMG signal. Method: The first step was to analyze the surface EMG signal of human upper arm by using multi-resolution of wavelet transform, then to establish a feature space consisting of the variance of wavelet coefficients. Secondly, a new feature space for a certain motion was constituted by selecting the variance of wavelet coefficients of corresponding two muscles and calculating the ratio of these two columns. The feature in the new space was used to identify the human hand motion. Result and Conclusion: This method is effective in identification of human hand motion. Thus, it provides an alternative novel approach to use the surface EMG in control the multi-freedom prosthetic hand." @default.
- W2391415220 created "2016-06-24" @default.
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- W2391415220 date "2006-01-01" @default.
- W2391415220 modified "2023-09-23" @default.
- W2391415220 title "Motion identification of human hand based on wavelet transform of multi-channel EMG signal" @default.
- W2391415220 hasPublicationYear "2006" @default.
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