Effect of Guiding Information from the Elbow to Foot Proprioception During Horizontal Perceptual Tasks in Individuals with Impaired Vision

Tadashi Uno, Tetsuya Kita, Ping Yeap Loh, Satoshi Muraki

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


This study examined the effect of guiding information from the elbow on foot proprioception during horizontal perceptual tasks, in individuals who are blind and partially sighted. Eight complete blindness male adults and eight male adults with partially sighted pigmentary retinal degeneration were recruited. Prior to tasks performance, participants acquired gap information (groove length: 5 cm and 20 cm) via a sighted guide which preceded them. Task 1: participants reproduced the length of gaps by stepping their foot forward. Task 2: After the participants acquired the gap information from sighted guide, they performed a gap step-over where it was possible to finish the task within a step. In Task 2, the step length of low-sighted individuals was significantly longer than that of blind individuals in the 20 cm gap width. In this study, the low-sighted individuals tended to predict a larger gap distance than the blind individuals when crossing the gap.

Original languageEnglish
Title of host publicationHuman Interaction, Emerging Technologies and Future Applications IV - Proceedings of the 4th International Conference on Human Interaction and Emerging Technologies
Subtitle of host publicationFuture Applications, IHIET – AI 2021
EditorsTareq Ahram, Redha Taiar, Fabienne Groff
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages5
ISBN (Print)9783030732707
Publication statusPublished - 2021
Event4th International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET – AI 2021 - Strasbourg, France
Duration: Apr 28 2021Apr 30 2021

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1378 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365


Conference4th International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET – AI 2021

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

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