EMG-based Feature Engineering Approach for Load Classification
Author:
Affiliation:
1. University of Engineering & Technology, Taxila,Department of Electronics Engineering,Taxila,Pakistan
2. University of Newcastle,Callaghan,NSW,Australia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10395910/10396660/10396704.pdf?arnumber=10396704
Reference17 articles.
1. Human lower limb activity recognition techniques, databases, challenges and its applications using sEMG signal: an overview
2. Electromyography Signal on Biceps Muscle in Time Domain Analysis
3. Surface EMG pattern recognition by using DWT feature extraction and SVM classifier;Podrug
4. Pattern recognition of EMG signal during load lifting using Artificial Neural Network (ANN)
5. The role of biceps brachii and brachioradialis for the control of elbow flexion and extension movements
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