Imaginary hand movement classification using electroencephalography

• Main Authors: Pornwitcha Somsap, Nipon Theera-Umpon, Sansanee Auephanwiriyakul
• Format: Conference Proceeding
• Published: 2018
• Subjects: Chemical Engineering; Computer Science; Engineering; Mathematics
• Online Access: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85050368521&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/58407
• Institution: Chiang Mai University

© 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...