DocumentCode :
3329053
Title :
Current BCI technologies in brain engineering
Author :
Keum-Shik Hong ; Santosa, Hendrik
Author_Institution :
Dept. of Cogno-Mechatron. Eng., Pusan Nat. Univ., Busan, South Korea
fYear :
2013
fDate :
25-27 Nov. 2013
Firstpage :
1
Lastpage :
4
Abstract :
Various neuroimaging modalities have appeared to acquire brain signals for developing a brain-computer interface (BCI). In this article, we review studies on different modalities including both invasive and non-invasive techniques for the implementation of BCIs, for brain signals detection, decoding, feature extraction, and classification. We discuss their advantages, disadvantages, and implementation issues to design of BCIs. Finally, we focus on fundamental principles, recent developments, and applications by using optical imaging as a promising modality for BCI applications.
Keywords :
brain; brain-computer interfaces; decoding; feature extraction; handicapped aids; medical image processing; medical signal detection; signal classification; BCI technologies; brain engineering; brain feature extraction; brain signals classification; brain signals decoding; brain signals detection; brain-computer interface; disabled people; invasive techniques; noninvasive techniques; optical imaging; Artificial neural networks; Detectors; Electroencephalography; Feature extraction; Magnetic resonance imaging; Motion measurement; Wavelength measurement; brain-computer interface; neuroimaging; neurorehabilitaion; non-invasive;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics, Biomimetics, and Intelligent Computational Systems (ROBIONETICS), 2013 IEEE International Conference on
Conference_Location :
Jogjakarta
Print_ISBN :
978-1-4799-1206-3
Type :
conf
DOI :
10.1109/ROBIONETICS.2013.6743567
Filename :
6743567
Link To Document :
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