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

    Abstract

    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
    Pages345-349
    Number of pages5
    ISBN (Print)9783030732707
    DOIs
    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

    Conference

    Conference4th International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET – AI 2021
    Country/TerritoryFrance
    CityStrasbourg
    Period4/28/214/30/21

    All Science Journal Classification (ASJC) codes

    • Control and Systems Engineering
    • Computer Science(all)

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