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Adaptive myoelectric control applied to video game

Oskoei, MA and Hu, H (2015) 'Adaptive myoelectric control applied to video game.' Biomedical Signal Processing and Control, 18. 153 - 160. ISSN 1746-8094

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Abstract

© 2014 Elsevier Ltd. This paper proposes adaptive schemes to cope with time-related changes in muscle activities during playing video game. A myoelectric control with the core of support vector machine is applied to manipulate a car in a computer-based video game. The proposed adaptive schemes model fatigue-based changes in myoelectric signals and modify the classification criteria to keep stable performance in long-term operations. Both unsupervised and supervised methods were applied to detect time-related steady state deviations in myoelectric signal patterns. Both methods improve the performance of myoelectric control and keep it stable in long-term applications.

Item Type: Article
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 13 Apr 2015 14:31
Last Modified: 23 Jan 2019 00:18
URI: http://repository.essex.ac.uk/id/eprint/13507

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