Calibration time reduction using subjective features selection based transfer learning for Multiclass BCI

Hossain, Ibrahim, Khosravi, Abbas, Hettiarachchi, Imali and Nahavandi, Saeid 2018, Calibration time reduction using subjective features selection based transfer learning for Multiclass BCI, in SMC 2018 : The making of a human-centered cyber world : Proceedings of the 2018 IEEE International Conference on Systems, Man, and Cybernetics, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 491-498, doi: 10.1109/SMC.2018.00093.

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Title Calibration time reduction using subjective features selection based transfer learning for Multiclass BCI
Author(s) Hossain, Ibrahim
Khosravi, AbbasORCID iD for Khosravi, Abbas orcid.org/0000-0001-6927-0744
Hettiarachchi, ImaliORCID iD for Hettiarachchi, Imali orcid.org/0000-0002-4220-0970
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Conference name IEEE Systems, Man and Cybernetics Society. Conference (2018 : Miyazaki, Japan)
Conference location Miyazaki, Japan
Conference dates 2018/10/07 - 2018/10/10
Title of proceedings SMC 2018 : The making of a human-centered cyber world : Proceedings of the 2018 IEEE International Conference on Systems, Man, and Cybernetics
Editor(s) [Unknown]
Publication date 2018
Series IEEE Systems, Man and Cybernetics Society Conference
Start page 491
End page 498
Total pages 8
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Keyword(s) Electroencephalography
Feature extraction
Training
Task analysis
Brain modeling
Training data
Traction motors
Science & Technology
Technology
Computer Science, Cybernetics
Computer Science, Information Systems
Computer Science
ISBN 9781538666500
Language eng
DOI 10.1109/SMC.2018.00093
Field of Research 080109 Pattern Recognition and Data Mining
110999 Neurosciences not elsewhere classified
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2018, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30119969

Document type: Conference Paper
Collection: Institute for Intelligent Systems Research and Innovation (IISRI)
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