Publication: Dynamic accommodation measurement using Purkinje reflections and machine learning
dc.contributor.department | KUTTAM (Koç University Research Center for Translational Medicine) | |
dc.contributor.department | Department of Electrical and Electronics Engineering | |
dc.contributor.department | Graduate School of Sciences and Engineering | |
dc.contributor.department | School of Medicine | |
dc.contributor.kuauthor | Aygün, Uğur | |
dc.contributor.kuauthor | Özhan, Faik Ozan | |
dc.contributor.kuauthor | Ürey, Hakan | |
dc.contributor.kuauthor | Şahin, Afsun | |
dc.contributor.schoolcollegeinstitute | College of Engineering | |
dc.contributor.schoolcollegeinstitute | GRADUATE SCHOOL OF SCIENCES AND ENGINEERING | |
dc.contributor.schoolcollegeinstitute | Research Center | |
dc.contributor.schoolcollegeinstitute | SCHOOL OF MEDICINE | |
dc.date.accessioned | 2025-01-19T10:33:29Z | |
dc.date.issued | 2023 | |
dc.description.abstract | Quantifying eye movement is important for diagnosing various neurological and ocular diseases as well as AR/VR displays. We developed a simple setup for real-time dynamic gaze tracking and accommodation measurements based on Purkinje reflections, which are the reflections from front and back surfaces of the cornea and the eye lens. We used an accurate eye model in ZEMAX to simulate the Purkinje reflection positions at different focus distances of the eye, which matched the experimental data. A neural network was trained to simultaneously predict vergence and accommodation using data collected from 9 subjects. We demonstrated that the use of Purkinje reflection coordinates in machine learning resulted in precise estimation. The proposed system accurately predicted the accommodation with an accuracy better than 0.22 D using subject’s own data and 0.40 D using other subjects’ data with two-point calibration in tests performed with 9 subjects in our setup. © 2023, The Author(s). | |
dc.description.indexedby | WOS | |
dc.description.indexedby | Scopus | |
dc.description.indexedby | PubMed | |
dc.description.issue | 1 | |
dc.description.openaccess | All Open Access; Gold Open Access; Green Open Access | |
dc.description.publisherscope | International | |
dc.description.sponsoredbyTubitakEu | N/A | |
dc.description.sponsorship | The authors would like to thank Fırat Turkkal and Arda Gulersoy for their help in prototype development. This work has been supported by European Innovation Council’s HORIZON-EIC-2021-TRANSITION- CHALLENGES Program, Grant Number 101057672 and Tübitak’s 2247-A National Lead Researchers Program, Project Number 120C145. Faik Ozan Ozhan is also supported by the TUBITAK’s 2210/A Master’s Scholarship Program. | |
dc.description.volume | 13 | |
dc.identifier.doi | 10.1038/s41598-023-47572-0 | |
dc.identifier.issn | 20452322 | |
dc.identifier.quartile | Q1 | |
dc.identifier.scopus | 2-s2.0-85178883464 | |
dc.identifier.uri | https://doi.org/10.1038/s41598-023-47572-0 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/26610 | |
dc.identifier.wos | 1142614900058 | |
dc.keywords | Accommodation | |
dc.keywords | Ocular | |
dc.keywords | Cornea | |
dc.keywords | Eye movements | |
dc.keywords | Lens | |
dc.keywords | crystalline | |
dc.keywords | Machine learning | |
dc.language.iso | eng | |
dc.publisher | Nature Research | |
dc.relation.grantno | HORIZON EUROPE European Innovation Council, EIC, (101057672, 120C145, HORIZON-EIC-2021-TRANSITION); Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK | |
dc.relation.ispartof | Scientific Reports | |
dc.subject | Medicine | |
dc.title | Dynamic accommodation measurement using Purkinje reflections and machine learning | |
dc.type | Journal Article | |
dspace.entity.type | Publication | |
local.contributor.kuauthor | Ürey, Hakan | |
local.contributor.kuauthor | Şahin, Afsun | |
local.contributor.kuauthor | Aygün, Uğur | |
local.contributor.kuauthor | Özhan, Faik Ozan | |
local.publication.orgunit1 | College of Engineering | |
local.publication.orgunit1 | SCHOOL OF MEDICINE | |
local.publication.orgunit1 | GRADUATE SCHOOL OF SCIENCES AND ENGINEERING | |
local.publication.orgunit1 | Research Center | |
local.publication.orgunit2 | Department of Electrical and Electronics Engineering | |
local.publication.orgunit2 | KUTTAM (Koç University Research Center for Translational Medicine) | |
local.publication.orgunit2 | School of Medicine | |
local.publication.orgunit2 | Graduate School of Sciences and Engineering | |
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