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Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/31618
Title: Hybrid SSVEP-motion visual stimulus based BCI system for intelligent wheelchair
Authors: Yunyong Punsawad
Yodchanan Wongsawat
Mahidol University
Keywords: Computer Science;Engineering;Medicine
Issue Date: 31-Oct-2013
Citation: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. (2013), 7416-7419
Abstract: This paper proposes the hybrid BCI modalities for wheelchair control by taking into account weakness of the current BCI systems. The idea is to combine two hybrid BCI systems with the intelligent wheelchair for three states, i.e. normal, fatigue, and emergency states. First system is the hybrid steady state visual evoked potential (SSVEP) and alpha rhythm BCI which is designed to use in the normal state. Second system is the hybrid motion visual stimulus and alpha rhythm which can be employed during the fatigue state (after using the first system). For the experiment, subjects are asked to perform SSVEP system for 30 minutes (until the fatigue states occur). Then, the subjects will be asked to perform the hybrid motion visual stimulus and alpha rhythm testing. The accuracy of the proposed system during fatigue state is approximately 85.62%. With this idea, BCI controlled wheelchair can be efficiently employed in reality. © 2013 IEEE.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84886552133&origin=inward
http://repository.li.mahidol.ac.th/dspace/handle/123456789/31618
ISSN: 1557170X
Appears in Collections:Scopus 2011-2015

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