Classification of eyelid position and eyeball movement using EEG signals

• Main Authors: Ramli, R., Arof, Hamzah, Ibrahim, Fatimah, Idris, Mohd Yamani Idna, Khairuddin, A.S.M.
• Format: Article
• Language: English
• Published: 2015
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.um.edu.my/13737/1/2015-259-CLASSIFICATION_OF_EYELID_POSITION_AND_EYEBALL_MOVEMENT_USING_EEG_SIGNALS.pdf; http://eprints.um.edu.my/13737/; http://umijms.um.edu.my/filebank/published_article/7451/1529.pdf

Contamination of EOG activities in EEG signals remains a significant problem in designing the hybrid BCI system. Since EEG signals have always been contaminated by EOG artifacts, we employ these artifacts as inputs into our system. Therefore, in this study we utilized theEEG and its EOG artifacts as...