Development of a System to Detect Eye Position Abnormality based on Eye-Tracking

In previous research, we developed a method to automate the conventional evaluation of eye misalignment (cover test) and distinguish misaligned eyes from their movements. However, this method had the problem that vertical eye movements were affected by the eyelids and eyelashes, and could not be com...

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Autores principales:	Noriyuki Uchida, Kayoko Takatuka, Hisaaki Yamaba, Masayuki Mukunoki, Naonobu Okazaki
Formato:	article
Lenguaje:	EN
Publicado:	Atlantis Press 2021
Materias:	Eye position examination cover test strabismus/heterophoria compact camera Technology T
Acceso en línea:	https://doaj.org/article/51c7d282e07c4643b29538b89f6ffc2d
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spelling	oai:doaj.org-article:51c7d282e07c4643b29538b89f6ffc2d2021-11-17T09:10:09ZDevelopment of a System to Detect Eye Position Abnormality based on Eye-Tracking10.2991/jrnal.k.210922.0111259613912352-6386https://doaj.org/article/51c7d282e07c4643b29538b89f6ffc2d2021-10-01T00:00:00Zhttps://www.atlantis-press.com/article/125961391/viewhttps://doaj.org/toc/2352-6386In previous research, we developed a method to automate the conventional evaluation of eye misalignment (cover test) and distinguish misaligned eyes from their movements. However, this method had the problem that vertical eye movements were affected by the eyelids and eyelashes, and could not be completely detected. To solve this problem, we have developed another method to recognize abnormalities by observing only the movement near the center of the pupil.Noriyuki UchidaKayoko TakatukaHisaaki YamabaMasayuki MukunokiNaonobu OkazakiAtlantis PressarticleEye position examinationcover teststrabismus/heterophoriacompact cameraTechnologyTENJournal of Robotics, Networking and Artificial Life (JRNAL), Vol 8, Iss 3 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Eye position examination cover test strabismus/heterophoria compact camera Technology T
spellingShingle	Eye position examination cover test strabismus/heterophoria compact camera Technology T Noriyuki Uchida Kayoko Takatuka Hisaaki Yamaba Masayuki Mukunoki Naonobu Okazaki Development of a System to Detect Eye Position Abnormality based on Eye-Tracking
description	In previous research, we developed a method to automate the conventional evaluation of eye misalignment (cover test) and distinguish misaligned eyes from their movements. However, this method had the problem that vertical eye movements were affected by the eyelids and eyelashes, and could not be completely detected. To solve this problem, we have developed another method to recognize abnormalities by observing only the movement near the center of the pupil.
format	article
author	Noriyuki Uchida Kayoko Takatuka Hisaaki Yamaba Masayuki Mukunoki Naonobu Okazaki
author_facet	Noriyuki Uchida Kayoko Takatuka Hisaaki Yamaba Masayuki Mukunoki Naonobu Okazaki
author_sort	Noriyuki Uchida
title	Development of a System to Detect Eye Position Abnormality based on Eye-Tracking
title_short	Development of a System to Detect Eye Position Abnormality based on Eye-Tracking
title_full	Development of a System to Detect Eye Position Abnormality based on Eye-Tracking
title_fullStr	Development of a System to Detect Eye Position Abnormality based on Eye-Tracking
title_full_unstemmed	Development of a System to Detect Eye Position Abnormality based on Eye-Tracking
title_sort	development of a system to detect eye position abnormality based on eye-tracking
publisher	Atlantis Press
publishDate	2021
url	https://doaj.org/article/51c7d282e07c4643b29538b89f6ffc2d
work_keys_str_mv	AT noriyukiuchida developmentofasystemtodetecteyepositionabnormalitybasedoneyetracking AT kayokotakatuka developmentofasystemtodetecteyepositionabnormalitybasedoneyetracking AT hisaakiyamaba developmentofasystemtodetecteyepositionabnormalitybasedoneyetracking AT masayukimukunoki developmentofasystemtodetecteyepositionabnormalitybasedoneyetracking AT naonobuokazaki developmentofasystemtodetecteyepositionabnormalitybasedoneyetracking
_version_	1718425670048022528

Development of a System to Detect Eye Position Abnormality based on Eye-Tracking

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