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  1. 学術雑誌論文
  2. 5 技術(工学)

Quantitative Crowdedness Measure for Evaluation of Hazard Avoidance Smartphone Apps for Visually Impaired at Station Platform

http://hdl.handle.net/10228/0002001151
http://hdl.handle.net/10228/0002001151
82860cae-e409-4fa2-886c-0b7dc9dc6d56
名前 / ファイル ライセンス アクション
10430043.pdf 10430043.pdf (1.7 MB)
アイテムタイプ 共通アイテムタイプ(1)
公開日 2025-01-22
タイトル
タイトル Quantitative Crowdedness Measure for Evaluation of Hazard Avoidance Smartphone Apps for Visually Impaired at Station Platform
言語 en
その他のタイトル
その他のタイトル QUANTITATIVE CROWDEDNESS MEASURE FOR EVALUATION OF HAZARD AVOIDANCE SMARTPHONE APPS FOR VISUALLY IMPAIRED AT STATION PLATFORM
言語 en
著者 Shimakawa, Manabu

× Shimakawa, Manabu

en Shimakawa, Manabu

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Nakahara, Taiyo

× Nakahara, Taiyo

en Nakahara, Taiyo

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Okuma, Chiharu

× Okuma, Chiharu

en Okuma, Chiharu

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Kiyota, Kimiyasu

× Kiyota, Kimiyasu

en Kiyota, Kimiyasu

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新見, 道治

× 新見, 道治

WEKO 944
e-Rad_Researcher 20269088
Scopus著者ID 7102215014
九工大研究者情報 236

en Niimi, Michiharu

ja 新見, 道治

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著作権関連情報
権利情報 ICIC International Copyright (c) 2024
抄録
内容記述タイプ Abstract
内容記述 Accidents in which visually impaired persons falling off station platforms have occurred repeatedly. These accidents are often caused by misunderstandings, loss of direction, and other factors that prevent correct recognition of the actual surroundings. Although the installation of platform doors is crucial, it is more important that visually impaired individuals can navigate around their surroundings and avoid potential hazards. In our study, we are conducting research on the use of smartphones to support the safe walking of the visually impaired. The application uses a camera to scan the surroundings, identify various objects based on the acquired RGB images, and then alert the user when a dangerous situation is detected. In our previous study, we confirmed that the system can detect steps, stairs, bicycles, and other objects which is an effective method to detect dangerous situations. Currently, we are extending the application to specialize in preventing the accident of falling from station platforms. Due to the fact that the application decides dangerous scene based on images captured by digital cameras, the accuracy of the detection would be getting worser when target objects are hidden by human; in other words, the crowdedness of the area affects the detection ability. One of requirements to use this app safely is to make clear the detection ability of the app with varying the crowdedness. To do this, we need to quantitatively define the crowdedness. In this paper, two measures, a range-based measure and a weighted distance measure, classified as local density are employed as quantitative crowdedness measures. This paper reports the experimental results comparing the two crowdedness measures, and examines which is more effective for the purpose. We conducted this experiments using a human location measurement system that can track the location of people walking and obtain their coordinates. This crowdedness measure can be applicable to evaluation criteria for apps with the same purpose of our app.
言語 en
書誌情報 en : ICIC Express Letters, Part B: Applications

巻 15, 号 2, p. 161-169, 発行日 2024-02
出版社
出版者 ICIC International
言語 en
キーワード
主題Scheme Other
主題 Quantitative crowdedness measure
キーワード
主題Scheme Other
主題 Range-based measure
キーワード
主題Scheme Other
主題 Weighted distance measure
キーワード
主題Scheme Other
主題 Smartphone app
キーワード
主題Scheme Other
主題 Visually impaired persons
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
DOI
識別子タイプ DOI
関連識別子 https://doi.org/10.24507/icicelb.15.02.161
ISSN
収録物識別子タイプ PISSN
収録物識別子 2185-2766
査読の有無
値 yes
研究者情報
URL https://hyokadb02.jimu.kyutech.ac.jp/html/236_ja.html
論文ID(連携)
値 10430043
連携ID
値 12155
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