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An improved incremental online training algorithm for reducing the influence of muscle fatigue in sEMG based HMI

Zhang, Y and Xu, X and Luo, Y and Hu, H and Zhou, H (2012) An improved incremental online training algorithm for reducing the influence of muscle fatigue in sEMG based HMI. In: UNSPECIFIED, ? - ?.

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Abstract

Considering the problem that stability of surface Electromyographic Signal (sEMG) based human-machine interface (HMI) gradually declines as fatigue takes place in muscles, we propose a novel method for updating samples to improve incremental online training algorithm for support vector machine (SVM). We study the changes of sEMG when muscle fatigue occurs using a method based on continuous wavelet transform, and then applies the improved incremental online SVM for sEMG classification. Experiment results show that the proposed algorithm can be used to improve the classification accuracy and training speed significantly. Furthermore, this method effectively diminish the influence of muscle fatigue during long-term operation of sEMG based HMI. © 2012 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012 - Conference Digest
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Users 161 not found.
Date Deposited: 19 Jan 2015 10:52
Last Modified: 17 Aug 2017 17:52
URI: http://repository.essex.ac.uk/id/eprint/9236

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