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Adaptive myoelectric human-machine interface for video games

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2 Author(s)
Oskoei, M.A. ; Sch. of Comput. Sci. & Electron. Eng., Univ. of Essex, Colchester, UK ; Huosheng Hu

This paper proposes adaptive schemes for myoelectric based human-machine interface (HMI) applied to a video game. Adaptive schemes modify the classification criteria to keep a stable performance in long-term operations. Online support vector machine (SVM) is used as the core of classification to facilitate incremental training during run-time. Supervised and unsupervised methods are individually employed to update online training data set. The experimental results show that the proposed adaptive schemes increase the achieved scores and make a stable performance for myoelectric HMI.

Published in:

Mechatronics and Automation, 2009. ICMA 2009. International Conference on

Date of Conference:

9-12 Aug. 2009