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: Pornwitcha Somsap, Nipon Theera-Umpon, Sansanee Auephanwiriyakul
格式: Conference Proceeding
出版: 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