Video based risk recognition training tool using eye tracking device

Yuji Fujita, Jun Nakamura, Noriyuki Kushiro

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

    1 Citation (Scopus)

    Abstract

    Risk recognition training is an important training in construction companies to avoid work-related accidents. The existing risk recognition training is usually conducted on an illustration including explicit risks. However, it is difficult to express dynamic scenarios and surroundings of the scene due to the still illustration. In this study, a video based risk recognition training tool with an eye tracking device has been developed. We applied the tool to discover differences of attentions between veterans and we found out that veterans to do risk recognition based on meta-knowledge (risk recognition process) and domain-knowledge (individual knowledge of construction work).

    Original languageEnglish
    Title of host publication2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1-4
    Number of pages4
    Volume2017-January
    ISBN (Electronic)9781509040452
    DOIs
    Publication statusPublished - 2017 Dec 19
    Event6th IEEE Global Conference on Consumer Electronics, GCCE 2017 - Nagoya, Japan
    Duration: 2017 Oct 242017 Oct 27

    Other

    Other6th IEEE Global Conference on Consumer Electronics, GCCE 2017
    CountryJapan
    CityNagoya
    Period17/10/2417/10/27

    Keywords

    • Differences between veteran and novice workers
    • Eye Tracking
    • Video Based Risk Recognition Training system

    ASJC Scopus subject areas

    • Media Technology
    • Instrumentation
    • Electrical and Electronic Engineering

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  • Cite this

    Fujita, Y., Nakamura, J., & Kushiro, N. (2017). Video based risk recognition training tool using eye tracking device. In 2017 IEEE 6th Global Conference on Consumer Electronics, GCCE 2017 (Vol. 2017-January, pp. 1-4). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCCE.2017.8229405