NDLI: Score-based adaptive training for P300 speller Brain-Computer Interface

Content Provider	IEEE Xplore Digital Library
Author	Yuan Zou Dehzangi, O. Jafari, R.
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. Eng., Univ. of Texas at Dallas, Richardson, TX, USA (Yuan Zou; Dehzangi, O.; Jafari, R.)
Abstract	The primary aim of a Brain-Computer Interface (BCI) is to provide communication capabilities through brain signals recorded from the scalp for those with brain disorders to be able to interact with the outside world. In order to properly decode the electroencephalographic (EEG) brain signals, the BCI needs to adapt to the subject via calibration to ensure stable performance. One of the major challenges in realization of the EEG signals is the long calibration time required since they show significant variations between recording sessions even for the same subject within the same experimental condition. This paper proposes a score-based adaptive training algorithm that maximally utilizes relevant information from prior recording sessions and significantly shortens the calibration time. Also the proposed method is suitable to develop real-time, wearable, and low-power BCI embedded devices. The BCI developed in this work is based on the P300 word speller application introduced by Farwell and Donchin in 1988. The experimental results show that by employing few letters for calibration, the proposed adaptive training algorithm can achieve 100% classification accuracy.
Starting Page	1143
Ending Page	1147
File Size	612500
Page Count	5
File Format	PDF
ISBN	9781479903566
ISSN	15206149
DOI	10.1109/ICASSP.2013.6637829
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-26
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Accuracy Calibration Electroencephalography Classification algorithms Signal processing algorithms Brain-computer interfaces Adaptive training BCI EEG signal P300 speller
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
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