Classification Of Hand Movements Based On Discrete Wavelet Transform And Enhanced Feature Extraction
Extraction of potential electromyography (EMG) features has become one of the important roles in EMG pattern recognition. In this paper, two EMG features, namely, enhanced wavelength (EWL) and enhanced mean absolute value (EMAV) are proposed. The EWL and EMAV are the modified version of wavelength (...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | en |
| Published: |
The Science And Information (SAI) Organization Limited
2019
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| Online Access: | http://eprints.utem.edu.my/id/eprint/24599/2/CLASSIFICATION%20OF%20HAND%20MOVEMENTS%20BASED%20ON%20DISCRETE%20WAVELET%20TRANSFORM%20AND%20ENHANCED%20FEATURE%20EXTRACTION.PDF http://eprints.utem.edu.my/id/eprint/24599/ https://thesai.org/Downloads/Volume10No6/Paper_12-Classification_of_Hand_Movements.pdf |
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