NDLI: The selection of proper discriminative cognitive tasks — A necessary prerequisite in high-quality BCI applications

Content Provider	IEEE Xplore Digital Library
Author	Dobrea, M.-C. Dobrea, D.M.
Copyright Year	2009
Description	Author affiliation: Faculty of Electronics, Telecommunications and Information Technology, Technical University ¿Gh. Asachi¿, Iasi, Romania (Dobrea, M.-C.; Dobrea, D.M.)
Abstract	While in brain computer interface (BCI) field the research is focused basically on finding improved processing methods leading to both high classification rates and high bit transfer rates, in this paper the same BCIs performances are addressed but, this time, with the emphasis set on the subject-specific discriminative cognitive tasks selection process. In this respect, a set of twelve electroencephalographic (EEG)-discriminative mental tasks was proposed to be studied in conjunction with four different subjects. For each subject, a particular set of four mental tasks was selected. The classification performances corresponding to these particular sets of tasks were obtained using some standard processing methods (i.e., the autoregressive model of the EEG signals and a multilayer perceptron classifier trained with back-propagation algorithm). The superior classification rates achieved for the selected sets compared to other set of mental tasks commonly used in the 4-class BCI studies (i.e. the set proposed by Keirn and Aunon [3]) promote the idea of subject-oriented mental tasks selection process as a necessary preliminary step in any high-quality BCI application.
Starting Page	1
Ending Page	6
File Size	201407
Page Count	6
File Format	PDF
ISBN	9781424446407
DOI	10.1109/ISABEL.2009.5373706
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-24
Publisher Place	Slovakia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Tongue Psychology Artificial neural networks EEG-discriminative mental tasks Electroencephalography Application software Information technology artificial neural networks autoregressive model Signal processing Multilayer perceptrons Brain modeling Bayes quadratic classifier brain-computer interface application Brain computer interfaces
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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