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Cited 163 time in webofscience Cited 137 time in scopus
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EEG-Based Brain-Computer Interfaces: A Thorough Literature Survey

Authors
Hwang, Han-JeongKim, SoyounChoi, SoobeomIm, Chang-Hwan
Issue Date
Dec-2013
Publisher
TAYLOR & FRANCIS INC
Citation
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION, v.29, no.12, pp.814 - 826
Indexed
SCIE
SSCI
SCOPUS
Journal Title
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
Volume
29
Number
12
Start Page
814
End Page
826
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/26594
DOI
10.1080/10447318.2013.780869
ISSN
1044-7318
Abstract
Brain-computer interface (BCI) technology has been studied with the fundamental goal of helping disabled people communicate with the outside world using brain signals. In particular, a large body of research has been reported in the electroencephalography (EEG)-based BCI research field during recent years. To provide a thorough summary of recent research trends in EEG-based BCIs, the present study reviewed BCI research articles published from 2007 to 2011 and investigated (a) the number of published BCI articles, (b) BCI paradigms, (c) aims of the articles, (d) target applications, (e) feature types, (f) classification algorithms, (g) BCI system types, and (h) nationalities of the author. The detailed survey results are presented and discussed one by one. [Supplemental materials are available for this article. Go to the publisher's online edition of International Journal of Human-Computer Interaction to view the free supplemental file: Supplementary Tables.pdf.]
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Im, Chang Hwan
COLLEGE OF ENGINEERING (서울 바이오메디컬공학전공)
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