Motor imagery data classification for BCI application using wavelet packet feature extraction

Hettiarachchi,IT, Nguyen,TT and Nahavandi,S 2014, Motor imagery data classification for BCI application using wavelet packet feature extraction. In Loo,CK, Yap,KS, Wong,KW, Teoh,A and Huang,K (ed), Neural information processing : 21st International Conference ICONIP 2014 Kuching, Malaysia, November 3-6, 2014 Proceedings, Part III, Springer, Berlin, Germany, pp.519-526, doi: 10.1007/978-3-319-12643-2_63.

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Title Motor imagery data classification for BCI application using wavelet packet feature extraction
Author(s) Hettiarachchi,ITORCID iD for Hettiarachchi,IT orcid.org/0000-0002-4220-0970
Nguyen,TTORCID iD for Nguyen,TT orcid.org/0000-0001-9709-1663
Nahavandi,SORCID iD for Nahavandi,S orcid.org/0000-0002-0360-5270
Title of book Neural information processing : 21st International Conference ICONIP 2014 Kuching, Malaysia, November 3-6, 2014 Proceedings, Part III
Editor(s) Loo,CK
Yap,KS
Wong,KW
Teoh,A
Huang,K
Publication date 2014
Series Lecture notes in computer science; v.8836
Chapter number 63
Total chapters 83
Start page 519
End page 526
Total pages 8
Publisher Springer
Place of Publication Berlin, Germany
Keyword(s) Brain-computer interface
Fisher distance criterion
Motor imagery data
Receiver operating characteristic curve
Wavelet packet decomposition
Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science, Information Systems
Computer Science, Theory & Methods
Computer Science
Summary The noninvasive brain imaging modalities have provided us an extraordinary means for monitoring the working brain. Among these modalities, Electroencephalography (EEG) is the most widely used technique for measuring the brain signals under different tasks, due to its mobility, low cost, and high temporal resolution. In this paper we investigate the use of EEG signals in brain-computer interface (BCI) systems.
ISBN 9783319126425
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-319-12643-2_63
Field of Research 080108 Neural, Evolutionary and Fuzzy Computation
Socio Economic Objective 920111 Nervous System and Disorders
HERDC Research category B1 Book chapter
ERA Research output type B Book chapter
Copyright notice ©2014, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30071657

Document type: Book Chapter
Collection: Centre for Intelligent Systems Research
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