Evaluation of classification techniques for identifying cognitive load levels using EEG signals Salaken, Syed Moshfeq, Hettiarachchi, Imali, Crameri, Luke, Hanoun, Samer, Nahavandi, Saeid and Nguyen, Thanh Thi 2020, Evaluation of classification techniques for identifying cognitive load levels using EEG signals, in SYSCON2020 : Proceedings of the 14th Annual IEEE International Systems Conference, IEEE, Piscataway, N.J.. Attached Files Name Description MIMEType Size Downloads Title Evaluation of classification techniques for identifying cognitive load levels using EEG signals Author(s) Salaken, Syed Moshfeq orcid.org/0000-0001-8632-2665 Hettiarachchi, Imali orcid.org/0000-0002-4220-0970 Crameri, Luke Hanoun, Samer orcid.org/0000-0002-8697-1515 Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Nguyen, Thanh Thi orcid.org/0000-0001-9709-1663 Conference name SysCon IEEE Systems. International Conference (14th : 2020 : Virtual Conference) Conference location Virtual Conference Conference dates 24 - 27 Aug. 2020 Title of proceedings SYSCON2020 : Proceedings of the 14th Annual IEEE International Systems Conference Publication date 2020 Total pages 8 Publisher IEEE Place of publication Piscataway, N.J. Keyword(s) EEG cognitive load classification Language eng Indigenous content off Field of Research 080108 Neural, Evolutionary and Fuzzy Computation 080109 Pattern Recognition and Data Mining Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category E1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30141023 Document type: Conference Paper Collections: School of Information Technology Institute for Intelligent Systems Research and Innovation (IISRI) Related Links Link Description Connect to Published Version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 21 Aug 2020, 12:38:40 EST Fri, 21 Aug 2020, 12:39:17 EST Sat, 22 Aug 2020, 05:00:44 EST Mon, 24 Aug 2020, 08:04:30 EST Tue, 20 Oct 2020, 05:03:06 EST Wed, 21 Oct 2020, 07:12:52 EST Wed, 21 Oct 2020, 07:19:34 EST Wed, 21 Oct 2020, 11:58:12 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 61 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Fri, 21 Aug 2020, 12:39:17 EST

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