EEG-Based Eye Movement Recognition Using Brain-Computer Interface and Random Forests.

Antoniou, Evangelos; Bozios, Pavlos; Christou, Vasileios; Tzimourta, Katerina D; Kalafatakis, Konstantinos; G Tsipouras, Markos; Giannakeas, Nikolaos; Tzallas, Alexandros T

Antoniou, Evangelos; Bozios, Pavlos; Christou, Vasileios; Tzimourta, Katerina D; Kalafatakis, Konstantinos; G Tsipouras, Markos; Giannakeas, Nikolaos; Tzallas, Alexandros T.

Affiliation

Antoniou E; Department of Informatics and Telecommunications, University of Ioannina, GR47100 Arta, Greece.
Bozios P; Department of Informatics and Telecommunications, University of Ioannina, GR47100 Arta, Greece.
Christou V; Department of Informatics and Telecommunications, University of Ioannina, GR47100 Arta, Greece.
Tzimourta KD; Q Base R&D, Science & Technology Park of Epirus, University of Ioannina Campus, GR45110 Ioannina, Greece.
Kalafatakis K; Department of Informatics and Telecommunications, University of Ioannina, GR47100 Arta, Greece.
G Tsipouras M; Department of Electrical and Computer Engineering, University of Western Macedonia, GR50100 Kozani, Greece.
Giannakeas N; Department of Informatics and Telecommunications, University of Ioannina, GR47100 Arta, Greece.
Tzallas AT; Department of Electrical and Computer Engineering, University of Western Macedonia, GR50100 Kozani, Greece.

Sensors (Basel) ; 21(7)2021 Mar 27.

Article in En | MEDLINE | ID: mdl-33801663

Subject(s)
Key words

EEG; EPOC Flex; braincomputer interface; electroencephalogram; electrooculogram; eye movement; eye tracking; random forests

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain-Computer Interfaces Type of study: Clinical_trials / Prognostic_studies Limits: Humans Language: En Journal: Sensors (Basel) Year: 2021 Document type: Article Affiliation country: Grecia Country of publication: Suiza

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