A frequency domain classifier of steady-state visual evoked potentials using deep separable convolutional neural networks

Attia, Mohammed Hassan, Hettiarachchi, Imali, Mohamed, Shady, Hossny, Mohammed and Nahavandi, Saeid 2019, A frequency domain classifier of steady-state visual evoked potentials using deep separable convolutional neural networks, in SMC 2018 : Proceedings of the 2018 IEEE International Conference on Systems, Man, and Cybernetics, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 2134-2139, doi: 10.1109/SMC.2018.00367.

Attached Files
Name Description MIMEType Size Downloads

Title A frequency domain classifier of steady-state visual evoked potentials using deep separable convolutional neural networks
Author(s) Attia, Mohammed HassanORCID iD for Attia, Mohammed Hassan orcid.org/0000-0002-4803-2963
Hettiarachchi, ImaliORCID iD for Hettiarachchi, Imali orcid.org/0000-0002-4220-0970
Mohamed, ShadyORCID iD for Mohamed, Shady orcid.org/0000-0002-8851-1635
Hossny, MohammedORCID iD for Hossny, Mohammed orcid.org/0000-0002-1593-6296
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 : Proceedings of the 2018 IEEE International Conference on Systems, Man, and Cybernetics
Editor(s) [Unknown]
Publication date 2019
Series IEEE Systems, Man and Cybernetics Society Conference
Start page 2134
End page 2139
Total pages 6
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Keyword(s) Visualization
Electroencephalography
Feature extraction
Peer-to-peer computing
Light emitting diodes
Mobile robots
Science & Technology
Technology
Computer Science, Cybernetics
Computer Science, Information Systems
Computer Science
EEG
BCI
SSVEP
Frequency Domain
ISBN 9781538666500
Language eng
DOI 10.1109/SMC.2018.00367
Field of Research 080504 Ubiquitous Computing
080108 Neural, Evolutionary and Fuzzy Computation
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2018, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30119971

Document type: Conference Paper
Collection: Centre for Intelligent Systems Research
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 35 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Fri, 15 Mar 2019, 12:17:56 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.