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dc.contributor.authorLiu, Sidi
dc.date.accessioned2016-06-21T04:30:22Z
dc.date.available2016-06-21T04:30:22Z
dc.date.issued2015-12
dc.identifier.otherliu_sidi_201512_ms
dc.identifier.urihttp://purl.galileo.usg.edu/uga_etd/liu_sidi_201512_ms
dc.identifier.urihttp://hdl.handle.net/10724/35408",
dc.description.abstractElectroencephalography (EEG) provides significant guidance to multimedia analysis. Meanwhile, analyzing eye movement data is a meaningful method to understand visual perception. Essentially, EEG and Eye tracking records can serve as a bridge that reduces the gap between comprehension of multimedia content and its digital representation. Current research only focuses on EEG and Eye Tracker data in a separated manner to collect relevant information. It is necessary to combine them together to provide meaningful analysis on the mapping between multimedia features and brain’s functional response. In this thesis, I propose a platform to simultaneously record EEG and eye movement data by integrating 256-channel EEG and Eye Tracker devices together. Then a procedure is designed and tested to process the EEG and eye movement records. Finally, an experiment is performed to explore the correlation between multimedia stimulus and corresponding brain and eye response.
dc.languageeng
dc.publisheruga
dc.rightsOn Campus Only Until 2017-12-01
dc.subjectElectroencephalography
dc.subjectEye Tracker
dc.subjectMultimedia
dc.subjectVisualization
dc.title256-channel EEG and eye-tracker integration and associated data analysis on multimedia stimulus
dc.typeThesis
dc.description.degreeMS
dc.description.departmentComputer Science
dc.description.majorComputer Science
dc.description.advisorTianming Liu
dc.description.committeeTianming Liu
dc.description.committeeKhaled Rasheed
dc.description.committeeSuchendra M. Bhandarkar


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