NDLI: An efficient P300-speller for Arabic letters

Content Provider	IEEE Xplore Digital Library
Author	Kabbara, A. Hassan, M. Khalil, M. Eid, H. El-Falou, W.
Copyright Year	2015
Description	Author affiliation: MAZLOUM Hosp., Tripoli, Lebanon (Eid, H.) \|\| EDST, ULFG1, Tripoli, Lebanon (Kabbara, A.; Khalil, M.; El-Falou, W.) \|\| LTSI, INSERM, Rennes, France (Hassan, M.)
Abstract	Brain-computer interfaces (BCI) aim at enabling the brain to directly control an artificial device. One of the most popular BCI paradigms is the so called `P300 speller' whose aim is to offer patients unable to speak and neither move to communicate. In this work, we present a `P300 speller' developed for Arabic letters for the first time. We propose a new automatic algorithm based on the independent component analysis (ICA) to remove eye blinks artifacts, and an adaptive channel selection procedure is also proposed. Results show that the classification performance of the `P300-speller' increase significantly using these two proposed techniques. Four classification algorithms were compared for offline classification from eleven participants. The results indicate that while all methods attained acceptable performance levels, the classical Support Vector Machine (SVM) classifier provide the best performance for classification of P300-speller.
Starting Page	142
Ending Page	145
File Size	432152
Page Count	4
File Format	PDF
ISSN	23775696
e-ISBN	9781467365161
DOI	10.1109/ICABME.2015.7323272
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-16
Publisher Place	Lebanon
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Electrodes P300 Speller Scalp Classification Feature extraction BCI Electroencephalography Classification algorithms Eye blinks removal Neurophysiology
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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