EEG-Based Brain-Computer Interfaces: A Novel Neurotechnology and Computational Intelligence Method
- Lin, C
- Liu, Y-T
- Wu, S-L
- Cao, Z
- Wang, Y
- Huang, C-S
- King, J-T
- Chen, S-A
- Lu, S-W
- Chuang, C
Publication date
October 2017
DOI Publisher
Institute of Electrical and Electronics Engineers (IEEE) Journal
IEEE Systems Man and Cybernetics MagazineAbstract
This article presents the latest BCI-related research done in our group. Our previous work applied computational intelligence technology in BCIs to inspire detailed investigations of practical issues in real-life applications. Novel EEG devices featuring dry electrodes facilitate and speed up electrode positioning before recording and allow subjects to move freely in operational environments. We also demonstrate the feasibility of applying CCA, RBFNs, effective connectivity measurements, and D-S theory to help BCIs extract informative knowledge from brain signals. Two recent trends in research in the computational and artificial intelligence community, big data and deep learning, are expected to impact the direction and development of BCIs
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