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

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
Description
Summary:10.1109/TBME.2013.2248154

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