NDLI: Neural networks for robust classification of mental tasks

Content Provider	IEEE Xplore Digital Library
Author	Millan, J.delR. Mourino, J. Cincotti, F. Varsta, M. Heikkonen, J. Topani, F. Marciani, M.G. Kaski, K. Babiloni, F.
Copyright Year	2000
Description	Author affiliation: Joint Res. Centre, EC Ispra (VA), Italy (Millan, J.delR.)
Abstract	Investigates appropriate neural classifiers for the recognition of mental tasks from on-line spontaneous EEG signals. The classifiers are to be embedded in a portable brain-computer interface called ABI. We evaluate different kinds of classifiers, from statistical approaches to neural networks, with 8 healthy persons. Subjects' performance is analyzed off-line and, for three of them, also on-line in the presence of biofeedback. The proposed ABI robustly recognizes three mental tasks from on-line spontaneous EEG signals. Correct recognition is around 70%. This modest rate is largely compensated by two properties of ABI: wrong responses are below 5% and it makes decisions every 1/2 second. Also, since the subject and his/her personal ABI learn simultaneously from each other, subjects master it rapidly: one of the subjects achieved excellent control in just 5 days of training. Analysis of learned EEG patterns confirms that for a subject to operate satisfactorily an ABI, the latter must fit the individual features of the former. Building individual interfaces greatly increases the likelihood of success, as demonstrated for all subjects we have worked with despite the short training time of most of them.
Starting Page	1380
Ending Page	1382
File Size	343139
Page Count	3
File Format	PDF
ISBN	0780364651
ISSN	1094687X
DOI	10.1109/IEMBS.2000.897996
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-07-23
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Robustness Electroencephalography Eyes Brain computer interfaces Biological control systems Biological neural networks Performance analysis Protocols Pattern analysis
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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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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