Development of a system to detect eye misalignment by using an Arm Cooperative Manipulators HMD equipped with eye-tracking capability

This study aimed to reduce the effect of the examining environment on accuracy by using an eye movement detection system, a VR head-mounted display. We reproduced the inspection environment in a virtual reality environment and performed the cover test, a basic inspection technique for tropia and pho...

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Bibliographic Details
Published inJournal of Robotics, Networking and Artificial Life Vol. 10; no. 1; pp. 17 - 24
Main Authors Takatsuka, Kayoko, Nagatomo, Yoki, Uchida, Noriyuki, Ikeda, Takuya, Mukunoki, Masayuki, Okazaki, Naonobu
Format Journal Article
LanguageEnglish
Published ALife Robotics Corporation Ltd 2023
Subjects
Cover test
Eye position examination
Head-mounted display
Tropia/phoria
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Summary:This study aimed to reduce the effect of the examining environment on accuracy by using an eye movement detection system, a VR head-mounted display. We reproduced the inspection environment in a virtual reality environment and performed the cover test, a basic inspection technique for tropia and phoria. We then developed a system that uses eye data collected by eye tracking to detect the directions and magnitudes of eye misalignment. The Maddox method, an existing testing procedure, was used to verify the accuracy. We have confirmed its effectiveness in detecting the directions and magnitudes of horizontal eye misalignment.
ISSN:2405-9021
2352-6386
DOI:10.57417/jrnal.10.1_17