Publication: Hybrid EEG-EOG brain-computer interface system for practical machine control
Issued Date
2010-12-01
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2-s2.0-78650835053
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Mahidol University
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SCOPUS
Bibliographic Citation
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10. (2010), 1360-1363
Suggested Citation
Yunyong Punsawad, Yodchanan Wongsawat, Manukid Parnichkun Hybrid EEG-EOG brain-computer interface system for practical machine control. 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10. (2010), 1360-1363. doi:10.1109/IEMBS.2010.5626745 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/28985
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Title
Hybrid EEG-EOG brain-computer interface system for practical machine control
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Abstract
Practical issues such as accuracy with various subjects, number of sensors, and time for training are important problems of existing brain-computer interface (BCI) systems. In this paper, we propose a hybrid framework for the BCI system that can make machine control more practical. The electrooculogram (EOG) is employed to control the machine in the left and right directions while the electroencephalogram (EEG) is employed to control the forword, no action, and complete stop motions of the machine. By using only 2-channel biosignals, the average classification accuracy of more than 95% can be achieved. © 2010 IEEE.
