A basic study on regular polygons recognition of central and peripheral vision field for virtual reality

Yang Feng, Qiong Wu, Keisuke Okamoto, Jiajia Yang, Satoshi Takahashi, Yoshimichi Ejima, Jinglong Wu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Recently, virtual reality (VR) have received increasing attention. For the development of VR, human recognition mechanism is a crucial factor. Previous neuroimaging studies of the visual recognition have found that mechanism of recognition is different on retinal eccentricity of visual field. For example, when we recognize the face, the building and the scene, we use the central vision field. However not only the central vision field but also the peripheral vision field is used for building recognition. And for the recognize of the scene, the peripheral vision field is even more important than central vision field. Revealing the object recognition mechanism demands us to clarify the functions of the central and the peripheral vision field. The purpose of this study is the first step to reveal the object recognition mechanism of the central and the peripheral vision field. We analyze the dependency of the fundamental elements of the objects on retinal eccentricity. The retinal eccentricity is the degree of the gap between the central and the peripheral vision field. Basically, we measured the dependency of recognition on retinal eccentricity of visual field as we changed the elements and the exposure duration of stimuli. The fundamental elements of the objects are the stimuli size and the line width of the stimuli. The stimuli size and the line width of the stimuli showed a large dependency on retinal eccentricity of visual field. But the exposure duration of stimuli showed a small dependency on retinal eccentricity of visual field.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Mechatronics and Automation, ICMA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1738-1743
Number of pages6
ISBN (Electronic)9781509067572
DOIs
Publication statusPublished - 23 Aug 2017
Externally publishedYes
Event14th IEEE International Conference on Mechatronics and Automation, ICMA 2017 - Takamatsu, Japan
Duration: 6 Aug 20179 Aug 2017

Publication series

Name2017 IEEE International Conference on Mechatronics and Automation, ICMA 2017

Conference

Conference14th IEEE International Conference on Mechatronics and Automation, ICMA 2017
Country/TerritoryJapan
CityTakamatsu
Period6/08/179/08/17

Keywords

  • Exposure duration
  • Shape recognition
  • Virtual reality (VR)

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