Using shannon entropy as EEG signal feature for fast person identification

Phung, D, Tran, D, Ma, W, Nguyen, Thanh Phuoc and Pham, T 2014, Using shannon entropy as EEG signal feature for fast person identification, in 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014 - Proceedings, ESANN,, pp. 413-418.

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Title Using shannon entropy as EEG signal feature for fast person identification
Author(s) Phung, D
Tran, D
Ma, W
Nguyen, Thanh PhuocORCID iD for Nguyen, Thanh Phuoc orcid.org/0000-0002-1649-2519
Pham, T
Conference location Bruges, Belgium
Conference dates 2014/04/23 - 2014/04/25
Title of proceedings 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014 - Proceedings
Publication date 2014
Start page 413
End page 418
Total pages 6
Publisher ESANN
ISBN 9782874190957
Language eng
Indigenous content off
HERDC Research category E1.1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30124566

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