Controlling a human-computer interface system with a novel classification method that uses electrooculography signals

10.1109/TBME.2013.2248154

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Bibliographic Details
Main Authors:	Wu, S.-L., Liao, L.-D., Lu, S.-W., Jiang, W.-L., Chen, S.-A., Lin, C.-T.
Other Authors:	LIFE SCIENCES INSTITUTE
Format:	Article
Published:	2016
Subjects:	Biosignal processing classification methods electrooculography (EOG) eye movement detection human-computer interface (HCI)
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/128724
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-128724
record_format	dspace
spelling	sg-nus-scholar.10635-1287242023-10-25T07:41:25Z Controlling a human-computer interface system with a novel classification method that uses electrooculography signals Wu, S.-L. Liao, L.-D. Lu, S.-W. Jiang, W.-L. Chen, S.-A. Lin, C.-T. LIFE SCIENCES INSTITUTE Biosignal processing classification methods electrooculography (EOG) eye movement detection human-computer interface (HCI) 10.1109/TBME.2013.2248154 IEEE Transactions on Biomedical Engineering 60 8 2133-2141 IEBEA 2016-10-19T08:44:27Z 2016-10-19T08:44:27Z 2013 Article Wu, S.-L., Liao, L.-D., Lu, S.-W., Jiang, W.-L., Chen, S.-A., Lin, C.-T. (2013). Controlling a human-computer interface system with a novel classification method that uses electrooculography signals. IEEE Transactions on Biomedical Engineering 60 (8) : 2133-2141. ScholarBank@NUS Repository. https://doi.org/10.1109/TBME.2013.2248154 00189294 http://scholarbank.nus.edu.sg/handle/10635/128724 000322025300008 Scopus
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Biosignal processing classification methods electrooculography (EOG) eye movement detection human-computer interface (HCI)
spellingShingle	Biosignal processing classification methods electrooculography (EOG) eye movement detection human-computer interface (HCI) Wu, S.-L. Liao, L.-D. Lu, S.-W. Jiang, W.-L. Chen, S.-A. Lin, C.-T. Controlling a human-computer interface system with a novel classification method that uses electrooculography signals
description	10.1109/TBME.2013.2248154
author2	LIFE SCIENCES INSTITUTE
author_facet	LIFE SCIENCES INSTITUTE Wu, S.-L. Liao, L.-D. Lu, S.-W. Jiang, W.-L. Chen, S.-A. Lin, C.-T.
format	Article
author	Wu, S.-L. Liao, L.-D. Lu, S.-W. Jiang, W.-L. Chen, S.-A. Lin, C.-T.
author_sort	Wu, S.-L.
title	Controlling a human-computer interface system with a novel classification method that uses electrooculography signals
title_short	Controlling a human-computer interface system with a novel classification method that uses electrooculography signals
title_full	Controlling a human-computer interface system with a novel classification method that uses electrooculography signals
title_fullStr	Controlling a human-computer interface system with a novel classification method that uses electrooculography signals
title_full_unstemmed	Controlling a human-computer interface system with a novel classification method that uses electrooculography signals
title_sort	controlling a human-computer interface system with a novel classification method that uses electrooculography signals
publishDate	2016
url	http://scholarbank.nus.edu.sg/handle/10635/128724
_version_	1781790599458848768

Controlling a human-computer interface system with a novel classification method that uses electrooculography signals

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