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Mobile and Ubiquitous Systems: Computing, Networking and Services. 18th EAI International Conference, MobiQuitous 2021, Virtual Event, November 8-11, 2021, Proceedings

Research Article

One-Shot Wayfinding Method for Blind People via OCR and Arrow Analysis with a 360-Degree Smartphone Camera

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  • @INPROCEEDINGS{10.1007/978-3-030-94822-1_9,
        author={Yutaro Yamanaka and Seita Kayukawa and Hironobu Takagi and Yuichi Nagaoka and Yoshimune Hiratsuka and Satoshi Kurihara},
        title={One-Shot Wayfinding Method for Blind People via OCR and Arrow Analysis with a 360-Degree Smartphone Camera},
        proceedings={Mobile and Ubiquitous Systems: Computing, Networking and Services. 18th EAI International Conference, MobiQuitous 2021, Virtual Event, November 8-11, 2021, Proceedings},
        proceedings_a={MOBIQUITOUS},
        year={2022},
        month={2},
        keywords={Visual impairment Signage OCR Arrow detection},
        doi={10.1007/978-3-030-94822-1_9}
    }
    
  • Yutaro Yamanaka
    Seita Kayukawa
    Hironobu Takagi
    Yuichi Nagaoka
    Yoshimune Hiratsuka
    Satoshi Kurihara
    Year: 2022
    One-Shot Wayfinding Method for Blind People via OCR and Arrow Analysis with a 360-Degree Smartphone Camera
    MOBIQUITOUS
    Springer
    DOI: 10.1007/978-3-030-94822-1_9
Yutaro Yamanaka1,*, Seita Kayukawa, Hironobu Takagi, Yuichi Nagaoka, Yoshimune Hiratsuka2, Satoshi Kurihara1
  • 1: Graduate School of Science and Technology
  • 2: Department of Ophthalmology
*Contact email: yutaroyamanaka@keio.jp

Abstract

We present a wayfinding method that assists blind people in determining the correct direction to a destination by taking aone-shotimage. Signage is standard in public buildings and used to help visitors, but has little benefit for blind people. Ourone-shot wayfinding methodrecognizes surrounding signage in all directions from an equirectangular image captured using a 360-degree smartphone camera. The method analyzes the relationship between detected text and arrows on signage and estimates the correct direction toward the user’s destination. In other words, the method enables wayfinding for the blind without requiring either environmental modifications (e.g.Bluetooth beacons) or preparation of map data. In a user study, we compared our method with a baseline method: a signage reader using a smartphone camera with a standard field of view. We found that our method enabled the participants to decide directions more efficiently than with the baseline method.

Keywords
Visual impairment Signage OCR Arrow detection
Published
2022-02-08
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-94822-1_9
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