Imaginary hand movement classification using electroencephalography
© 2017 IEEE. This paper proposes a method to help patients who cannot control their appendicular organs to communicate and to control devices via a binary decision by electroencephalography (EEG). We exploited 12 volunteers' EEG datasets from PhysioNet (EEG Motor Movement/Imaginary Datasets) th...
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Main Authors: | , , |
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格式: | Conference Proceeding |
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2018
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在線閱讀: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85050368521&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/58407 |
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機構: | Chiang Mai University |
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