NDLI: Learning from other subjects helps reducing Brain-Computer Interface calibration time

Content Provider	IEEE Xplore Digital Library
Author	Lotte, F. Cuntai Guan
Copyright Year	2010
Description	Author affiliation: Institute for Infocomm Research (I2R), Singapore (Lotte, F.; Cuntai Guan)
Abstract	A major limitation of Brain-Computer Interfaces (BCI) is their long calibration time, as much data from the user must be collected in order to tune the BCI for this target user. In this paper, we propose a new method to reduce this calibration time by using data from other subjects. More precisely, we propose an algorithm to regularize the Common Spatial Patterns (CSP) and Linear Discriminant Analysis (LDA) algorithms based on the data from a subset of automatically selected subjects. An evaluation of our approach showed that our method significantly outperformed the standard BCI design especially when the amount of data from the target user is small. Thus, our approach helps in reducing the amount of data needed to achieve a given performance level.
Starting Page	614
Ending Page	617
File Size	115408
Page Count	4
File Format	PDF
ISBN	9781424442959
ISSN	15206149
DOI	10.1109/ICASSP.2010.5495183
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Brain computer interfaces Calibration Electroencephalography Linear discriminant analysis Machine learning algorithms Spatial filters Covariance matrix Vectors Computer interfaces Unsupervised learning regularization Brain-Computer Interfaces (BCI) subjectto-subject transfer
Content Type	Text
Resource Type	Article

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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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Learning from other Subjects Helps Reducing Brain-Computer Interface Calibration Time

Learning from other Subjects Helps Reducing Brain-Computer Interface Calibration Time

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Learning from other subjects helps reducing Brain-Computer Interface calibration time

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