Video-oculography eye tracking towards clinical applications: a review

Larrazábal, Agostina Juliana and García Cena, Cecilia Elisabet and Martínez, César Ernesto (2019). Video-oculography eye tracking towards clinical applications: a review. "Computers in Biology and Medicine", v. 108 ; pp. 57-66. ISSN 1879-0534. https://doi.org/10.1016/j.compbiomed.2019.03.025.

Description

Title: Video-oculography eye tracking towards clinical applications: a review
Author/s:
  • Larrazábal, Agostina Juliana
  • García Cena, Cecilia Elisabet
  • Martínez, César Ernesto
Item Type: Article
Título de Revista/Publicación: Computers in Biology and Medicine
Date: May 2019
ISSN: 1879-0534
Volume: 108
Subjects:
Freetext Keywords: Eye tracking; Eye gazing; Disease diagnoses; Head movements; Saccadic movements
Faculty: E.T.S.I. Diseño Industrial (UPM)
Department: Ingeniería Eléctrica, Electrónica Automática y Física Aplicada
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Most neurological diseases are usually accompanied by a broad spectrum of oculomotor alterations. Being able to record and analyze these different types of eye movements would be a valuable tool to understand the functional integrity of brain structures. Nowadays, video-oculography is the most widely used eye-movements assessing method. This paper presents a study of the existing eye tracking video-oculography techniques and also analyzes the importance of measuring slight head movements for diseases diagnosis. In particular, two types of methods are reviewed and compared, including appearance-based and feature-based methods which are further subdivided into 2D-mapping and 3D model-based approaches. In order to demonstrate the advantages and disadvantages of these different eye tracking methods for disease diagnosis, a series of comparisons are conducted between them, addressing the complexity of the system, the accuracy achieved, the ability to measure head movements and the external conditions for which they have been designed. Lastly, it also highlights the open challenges in this research field and discusses possible future directions.

Funding Projects

TypeCodeAcronymLeaderTitle
Madrid Regional GovernmentS2018/NMT-4331RoboCity2030-DIH-CMUnspecifiedMadrid Robotics Digital Innovation Hub

More information

Item ID: 67183
DC Identifier: https://oa.upm.es/67183/
OAI Identifier: oai:oa.upm.es:67183
DOI: 10.1016/j.compbiomed.2019.03.025
Official URL: https://www.sciencedirect.com/science/article/pii/S0010482519301040?via%3Dihub
Deposited by: Memoria Investigacion
Deposited on: 24 May 2021 10:16
Last Modified: 24 May 2021 10:16
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