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General Information
    • ISSN: 1793-8236 (Online)
    • Abbreviated Title Int. J. Eng. Technol.
    • Frequency:  Quarterly 
    • DOI: 10.7763/IJET
    • APC: 500 USD
    • Managing Editor: Ms. Shira. Lu 
    • Abstracting/ Indexing: Inspec (IET), CNKI Google Scholar, EBSCO, ProQuest, Crossref, Ulrich Periodicals Directory, Chemical Abstracts Services (CAS), etc.
    • E-mail: ijet_Editor@126.com
IJET 2023 Vol.15(2): 41-44
DOI: 10.7763/IJET.2023.V15.1217

Prototype of a Method to Support the Walking of Visually Impaired by Detecting the Walkable Area Using Pedestrians

Yasuyuki Murai*, Hisayuki Tatsumi, Yumiko Ota, and Masahiro Miyakawa

Abstract—The goal of this study is to support the walking of visually impaired people using AI and a small camera. It is difficult for the visually impaired to walk straight toward the target due to the characteristics of the disability. Even if they think they are walking straight, they will move off to the left and right. For this reason, they may have an accident such as falling from the platform of the train. In this report, in order to enable visually impaired people to walk safely toward the target, a small camera attached to the body captures the direction of travel, detects the area where the pedestrian can walk safely from the recorded pedestrian, and guide users there. We consider that the place where there are pedestrians is an area where we can walk safely. Pedestrians are detected from camera images using AI. Use sound to inform the user of the direction of travel. We prototyped these methods.

Index Terms—Visually impaired, veering tendency, deep learning, wearable device

Yasuyuki Murai and Yumiko Ota are with Nihon Pharmaceutical University, Tokyo 113-0034 Japan. E-mail: arisue-888@nichiyaku.ac.jp (Y.O.)
Hisayuki Tatsumi and Masahiro Miyakawa are with Tsukuba University of Technology, Ibaraki 305-8521 Japan. E-mail: tatsumi@cs.k.tsukuba-tech.ac.jp (H.T.); mamiyaka@gmail.com (M.M.)
*Correspondence: murai@nichiyaku.ac.jp (Y.M.)

[PDF]

Cite: Yasuyuki Murai, Hisayuki Tatsumi, Yumiko Ota, and Masahiro Miyakawa, "Prototype of a Method to Support the Walking of Visually Impaired by Detecting the Walkable Area Using Pedestrians," International Journal of Engineering and Technology vol. 15, no. 2, pp. 41-44, 2023.

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