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

Thesis (PhD)--Stellenbosch University, 2023.

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Main Author: Fischer, J. D.
Other Authors: Van den Heever, D.
Format: Thesis
Language:en_ZA
Published: Stellenbosch : Stellenbosch University 2023
Subjects:
Eye tracking
Tracking (Engineering)
Predictive control
Gaze estimation
Computer simulation
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access_status_str Open Access
author Fischer, J. D.
author2 Van den Heever, D.
author_browse Fischer, J. D.
Van den Heever, D.
author_facet Van den Heever, D.
Fischer, J. D.
author_sort Fischer, J. D.
collection Thesis
dc_rights_str_mv Stellenbosch University
description Thesis (PhD)--Stellenbosch University, 2023.
format Thesis
id oai:scholar.sun.ac.za:10019.1/129063
institution Stellenbosch University (South Africa)
language en_ZA
last_indexed 2026-06-10T12:46:18.613Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2023
publishDateRange 2023
publishDateSort 2023
publisher Stellenbosch : Stellenbosch University
publisherStr Stellenbosch : Stellenbosch University
record_format dspace
source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/129063 The influence of eye model complexity and parameter variations on the predictive power of simulated eye-tracking data Fischer, J. D. Van den Heever, D. Van der Merwe, J. Stellenbosch University. Faculty of Engineering. Dept. of Mechanical and Mechatronic Engineering. Eye tracking Tracking (Engineering) Predictive control Gaze estimation Computer simulation Thesis (PhD)--Stellenbosch University, 2023. ENGLISH 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 vroeë 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 vermoë van die gesimuleerde data sal verbeter. Dit sal moontlik op sy beurt lei tot die ontwikkeling van oogvolgmetodes met beter resultate. AFRIKAANSE 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. Doctorate 2023-11-22T15:15:13Z 2024-01-08T21:03:36Z 2023-11-22T15:15:13Z 2024-01-08T21:03:36Z 2023-11 Thesis https://scholar.sun.ac.za/handle/10019.1/129063 en_ZA Stellenbosch University xix, 184 pages : illustrations application/pdf Stellenbosch : Stellenbosch University
spellingShingle Eye tracking
Tracking (Engineering)
Predictive control
Gaze estimation
Computer simulation
Fischer, J. D.
The influence of eye model complexity and parameter variations on the predictive power of simulated eye-tracking data
title The influence of eye model complexity and parameter variations on the predictive power of simulated eye-tracking data
title_full The influence of eye model complexity and parameter variations on the predictive power of simulated eye-tracking data
title_fullStr The influence of eye model complexity and parameter variations on the predictive power of simulated eye-tracking data
title_full_unstemmed The influence of eye model complexity and parameter variations on the predictive power of simulated eye-tracking data
title_short The influence of eye model complexity and parameter variations on the predictive power of simulated eye-tracking data
title_sort influence of eye model complexity and parameter variations on the predictive power of simulated eye tracking data
topic Eye tracking
Tracking (Engineering)
Predictive control
Gaze estimation
Computer simulation
url https://scholar.sun.ac.za/handle/10019.1/129063
work_keys_str_mv AT fischerjd theinfluenceofeyemodelcomplexityandparametervariationsonthepredictivepowerofsimulatedeyetrackingdata
AT fischerjd influenceofeyemodelcomplexityandparametervariationsonthepredictivepowerofsimulatedeyetrackingdata

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