CFEA - Real time eye tracking for Android

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dc.contributor.advisorVuurpijl, L.G.
dc.contributor.advisorBarkhuysen, P.N.
dc.contributor.advisorPoljac, E.
dc.contributor.authorStemerdink, L.H.
dc.date.issued2015-08-08
dc.description.abstractThis thesis study project studied the possibility of using a real time eye tracking algorithm in a cognitive exibility enhancement application. The algorithm was required to run on an unmodi ed tablet device, that runs on the Android operating system. A prototype application has been built to test the eye tracking algorithm proposed in this study. 13 subjects participated in the experiment, that was conducted on a Samsung Galaxy Tab 4. The results showed that the eye tracking algorithm was capable of processing 2:33 frames per second (2:33Hz), with an accuracy error of 279:49 pixels. Standardised for screen size, this error was 0:218. This shows that it is possible to built a real time eye tracker, that can be used on a tablet device. The algorithm proposed here is considered to be useful in the Cognitive Flexibility Enhancement Application Project (CFEA).en_US
dc.embargo.lift2036-07-31
dc.identifier.urihttp://hdl.handle.net/123456789/1871
dc.language.isoenen_US
dc.thesis.facultyFaculteit der Sociale Wetenschappenen_US
dc.thesis.specialisationBachelor Artificial Intelligenceen_US
dc.thesis.studyprogrammeArtificial Intelligenceen_US
dc.thesis.typeBacheloren_US
dc.titleCFEA - Real time eye tracking for Androiden_US
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