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Surface EMG-based human-machine interface that can minimise the influence of muscle fatigue

Xu, X and Zhang, Y and Xu, X and Hu, H (2014) Surface EMG-based human-machine interface that can minimise the influence of muscle fatigue. In: UNSPECIFIED, ? - ?.

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Abstract

Copyright © 2014 Inderscience Enterprises Ltd. It is clear that the surface electromyographic-based (sEMG) human-machine interface (HMI) shows a reduction in stability when the muscle fatigue occurs. This paper presents an improved incremental training algorithm that is based on online support vector machine (SVM). The continuous wavelet transform is used to study the changes of sEMG when muscle fatigue occurs, and then the improved online SVM is applied for sEMG classification. The parameters of the SVM model are adjusted for adaptation based on the changes of sEMG signals, and the training data is conditionally selected and forgotten. Experiment results show that the presented method can perform accurate modelling and the training speed is increased. Furthermore, this method effectively overcomes the influence of muscle fatigue during a long-term operation of the sEMG-based HMI.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: Published proceedings: International Journal of Modelling, Identification and Control
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: Jim Jamieson
Date Deposited: 21 Jul 2015 09:07
Last Modified: 23 Jan 2019 00:18
URI: http://repository.essex.ac.uk/id/eprint/14318

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