HEAL DSpace

A real time eye-motion monitoring system

Αποθετήριο DSpace/Manakin

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dc.contributor.author Delibasis, KK en
dc.contributor.author Asvestas, P en
dc.contributor.author Matsopoulos, GK en
dc.contributor.author Economopoulos, T en
dc.contributor.author Assimakis, N en
dc.date.accessioned 2014-03-01T02:45:55Z
dc.date.available 2014-03-01T02:45:55Z
dc.date.issued 2009 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/32459
dc.subject Blink measurements en
dc.subject Component en
dc.subject Image processing en
dc.subject Lid measurements en
dc.subject Pupil extraction en
dc.subject Real time estimations en
dc.subject.other Blink measurements en
dc.subject.other Component en
dc.subject.other Hardware components en
dc.subject.other High frame rate en
dc.subject.other Lighting conditions en
dc.subject.other Monitoring system en
dc.subject.other Near Infrared en
dc.subject.other Pupil diameter en
dc.subject.other Pupil extraction en
dc.subject.other Real time en
dc.subject.other Real time images en
dc.subject.other Real-time estimation en
dc.subject.other Real-time image processing en
dc.subject.other Software component en
dc.subject.other Video sequences en
dc.subject.other Eye movements en
dc.subject.other Image processing en
dc.subject.other Lighting en
dc.subject.other Video recording en
dc.subject.other Imaging systems en
dc.title A real time eye-motion monitoring system en
heal.type conferenceItem en
heal.identifier.primary 10.1109/IWSSIP.2009.5367742 en
heal.identifier.secondary http://dx.doi.org/10.1109/IWSSIP.2009.5367742 en
heal.identifier.secondary 5367742 en
heal.publicationDate 2009 en
heal.abstract A real time image based system is presented that is able to measure eye movement related quantities at high frame rate. The system's hardware component allows for high frame rate image acquisition under near infrared constant lighting conditions, whereas the software component is capable of performing real time image processing to determine the values of the required eye-related parameters. The measured quantities include blink parameters, eye-lid parameters and pupil diameter. The robustness of the proposed system is tested for different types of iris color, as well as under normal lighting conditions and near Infra-red light. The results are validated by off-line observer based inspection of the video sequences. ©2009 IEEE. en
heal.journalName 2009 16th International Conference on Systems, Signals and Image Processing, IWSSIP 2009 en
dc.identifier.doi 10.1109/IWSSIP.2009.5367742 en


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