Academic Journal

Video-Based Gaze Detection for Oculomotor Abnormality Measurements

التفاصيل البيبلوغرافية
العنوان: Video-Based Gaze Detection for Oculomotor Abnormality Measurements
المؤلفون: Eran Harpaz, Rotem Z. Bar-Or, Israel Rosset, Edmund Ben-Ami
المصدر: Applied Sciences, Vol 14, Iss 4, p 1519 (2024)
بيانات النشر: MDPI AG
سنة النشر: 2024
المجموعة: Directory of Open Access Journals: DOAJ Articles
مصطلحات موضوعية: eye tracking, gaze detection, computer vision, neural networks, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
الوصف: Measuring oculomotor abnormalities in human subjects is challenging due to the delicate spatio-temporal nature of the oculometric measures (OMs) used to assess eye movement abilities. Some OMs require a gaze estimation accuracy of less than 2 degrees and a sample rate that enables the detection of movements lasting less than 100 ms. While past studies and applications have used dedicated and limiting eye tracking devices to extract OMs, recent advances in imaging sensors and computer vision have enabled video-based gaze detection. Here, we present a self-calibrating neural network model for gaze detection that is suitable for oculomotor abnormality measurement applications. The model considers stimuli target locations while the examined subjects perform visual tasks and calibrate its gaze estimation output in real time. The model was validated in a clinical trial and achieved an axial accuracy of 0.93 degrees and 1.31 degrees for horizontal and vertical gaze estimation locations, respectively, as well as an absolute accuracy of 1.80 degrees. The performance of the proposed model enables the extraction of OMs using affordable and accessible setups—such as desktop computers and laptops—without the need to restrain the patient’s head or to use dedicated equipment. This newly introduced approach may significantly ease patient burden and improve clinical results in any medical field that requires eye movement measurements.
نوع الوثيقة: article in journal/newspaper
اللغة: English
تدمد: 2076-3417
Relation: https://www.mdpi.com/2076-3417/14/4/1519; https://doaj.org/toc/2076-3417; https://doaj.org/article/2adb47e15e92496bab5c8e9209741fd2
DOI: 10.3390/app14041519
الاتاحة: https://doi.org/10.3390/app14041519
https://doaj.org/article/2adb47e15e92496bab5c8e9209741fd2
رقم الانضمام: edsbas.81456326
قاعدة البيانات: BASE
الوصف
تدمد:20763417
DOI:10.3390/app14041519