Effects of reaction time on the kinetic visual field

Xiaoya Yu, Jinglong Wu, Shuhei Miyamoto, Shengfu Lu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Kinetic visual field refers to the visual range in which a moving target can be seen. The reaction time in traditional Kinetic Perimetry was the time from the target was identified to the subject responded, without taking into account individual simple reaction time (SRT). This is problematic in that it mixes the evaluations of human visual performance with behavior performance. We redefined kinetic visual field by analyzed the components of the RT, and then measured SRT and kinetic visual field of six normal subjects, using a modified Goldman kinetic perimeter. The results showed that the newly defined kinetic visual field was wider than traditional defined, because the newly defined kinetic visual field without including SRT. Thus, Kinetic Perimetry using the newly defined method eliminates individual SRT differences to produce what we believe to be a more accurate evaluation indicator of human visual functions.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages124-135
Number of pages12
Volume6889 LNAI
DOIs
Publication statusPublished - 2011
Event2011 International Conference on Brain Informatics, BI 2011 - Lanzhou, China
Duration: Sep 7 2011Sep 9 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6889 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other2011 International Conference on Brain Informatics, BI 2011
CountryChina
CityLanzhou
Period9/7/119/9/11

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ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Yu, X., Wu, J., Miyamoto, S., & Lu, S. (2011). Effects of reaction time on the kinetic visual field. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6889 LNAI, pp. 124-135). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6889 LNAI). https://doi.org/10.1007/978-3-642-23605-1_15