The influence of eye model complexity and parameter variations on the predictive power of simulated eye-tracking data

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dc.contributor.advisorVan den Heever, Den_ZA
dc.contributor.advisorVan der Merwe, Jen_ZA
dc.contributor.authorFischer, JDen_ZA
dc.contributor.otherStellenbosch University. Faculty of Engineering. Dept. of Mechanical and Mechatronic Engineering.en_ZA
dc.date.accessioned2023-11-22T15:15:13Zen_ZA
dc.date.accessioned2024-01-08T21:03:36Zen_ZA
dc.date.available2023-11-22T15:15:13Zen_ZA
dc.date.available2024-01-08T21:03:36Zen_ZA
dc.date.issued2023-11en_ZA
dc.descriptionThesis (PhD)--Stellenbosch University, 2023.en_ZA
dc.description.abstractENGLISH ABSTRACT: Gesimuleerde oogvolgdata vergemaklik die vinnige, herhaalde, en onafhanklike evaluasie van oogvolgmetodes sonder dat daar 'n hulpbron-intensiewe gebruikersstudie vereis word. Gesimuleerde data is veral voordelig gedurende die vroeƫ ontwikkeling van 'n oogvolger waarin verskeie konfigurasies van apparatuur en algoritmiese komponente oorweeg word. Die meeste van die gesimuleerde oogvolgdata wat in die oogvolg-verwante literatuur gebruik word, is gegenereer deur gebruik te maak van lae-kompleksiteit oogmodelle met parameters gebaseer op bevolkingsgemiddeldes wat die kornea simuleer as 'n enkele sferiese oppervlak. Hierdie dissertasie het ondersoek ingestel of die verhoging van die oogmodel se kompleksiteit en parameters wat gebruik word om gesimuleerde data te genereer, kan lei tot verbeterings in werklike oogvolguitkomste. Die bevindinge van die dissertasie toon dat die gebruik van 'n oogmodel wat 'n a-sferiese voorste korneale oppervlak en realistiese variasies in die asferisiteit van die voorste korneale oppervlak insluit in 'n gesimuleerde oogvolgomgewing, die voorspellende vermoƫ van die gesimuleerde data sal verbeter. Dit sal moontlik op sy beurt lei tot die ontwikkeling van oogvolgmetodes met beter resultate.en_ZA
dc.description.abstractAFRIKAANSE OPSOMMING: Simulated eye-tracking data facilitate the rapid, repeated, and independent evaluation of eye-tracking methods without requiring resource-intensive user studies. Simulated data are particularly advantageous during the early development of an eye-tracker in which various configurations of hardware and algorithmic components are considered. Most of the simulated eye-tracking data used in the eye-tracking-related literature were generated using low-complexity eye models with parameters based on population averages that simulate the cornea as a single spheric surface. This dissertation investigated whether increasing the eye model complexity and parameter variations used to generate simulated data can lead to improvements in real-world eye-tracking outcomes. The findings of the dissertation demonstrate that using an eye model that includes an aspheric anterior corneal surface and realistic variations in the asphericity of the anterior corneal surface in a simulated eye-tracking environment will improve the predictive power of the simulated data, which in turn will likely lead to the development of eye-tracking methods with better outcomes.af_ZA
dc.description.versionDoctorateen_ZA
dc.format.extentxix, 184 pages : illustrationsen_ZA
dc.identifier.urihttps://scholar.sun.ac.za/handle/10019.1/129063en_ZA
dc.language.isoen_ZAen_ZA
dc.publisherStellenbosch : Stellenbosch Universityen_ZA
dc.rights.holderStellenbosch Universityen_ZA
dc.subject.lcshEye trackingen_ZA
dc.subject.lcshTracking (Engineering)en_ZA
dc.subject.lcshPredictive controlen_ZA
dc.subject.lcshGaze estimationen_ZA
dc.subject.lcshComputer simulationen_ZA
dc.titleThe influence of eye model complexity and parameter variations on the predictive power of simulated eye-tracking dataen_ZA
dc.typeThesisen_ZA
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Doctoral Degrees (Mechanical and Mechatronic Engineering)