Preliminary investigation of obstacle recognition via smartphone active sound sensing for pedestrian safety

• Item type: SIG Technical Reports(1)
• 公開日: 2021-08-26
• タイトル: Preliminary investigation of obstacle recognition via smartphone active sound sensing for pedestrian safety
• タイトル / 言語: en
• タイトル: Preliminary investigation of obstacle recognition via smartphone active sound sensing for pedestrian safety
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: 無線
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_18gh
• 資源タイプ: technical report
• 著者所属: Graduate School of Information Science and Technology, Osaka University
• 著者所属: Graduate School of Information Science and Technology, Osaka University
• 著者所属: Graduate School of Information Science and Technology, Osaka University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Science and Technology, Osaka University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Science and Technology, Osaka University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Science and Technology, Osaka University
• 著者名: Thilina, Dissanayake; 前川, 卓也; 原, 隆浩
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: To ensure the safety of the pedestrians that use a smartphone while walking, numerous smartphone applications have been developed. The most common method is to use the back camera of the smartphone to record the video in real-time to recognize obstacles such as approaching vehicles and people. However, this imposes problems such as limited detection ranges, and poor performance in the dark. To overcome these problems, we design a method that can recognize common obstacles such as vehicles, trees, signposts, etc. using smartphone active sound sensing. We mimic the echolocation of bats and emit sine waves and sweep signals from the smartphone and record the reflected waves. We exploit the spectral and spatial characteristics of the stationary and non-stationary obstacles and recognize them, making our method adaptable to numerous applications such as assisting visually impaired people, managing smartphone alert levels, and providing information regarding how crowded the sidewalk is.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: To ensure the safety of the pedestrians that use a smartphone while walking, numerous smartphone applications have been developed. The most common method is to use the back camera of the smartphone to record the video in real-time to recognize obstacles such as approaching vehicles and people. However, this imposes problems such as limited detection ranges, and poor performance in the dark. To overcome these problems, we design a method that can recognize common obstacles such as vehicles, trees, signposts, etc. using smartphone active sound sensing. We mimic the echolocation of bats and emit sine waves and sweep signals from the smartphone and record the reflected waves. We exploit the spectral and spatial characteristics of the stationary and non-stationary obstacles and recognize them, making our method adaptable to numerous applications such as assisting visually impaired people, managing smartphone alert levels, and providing information regarding how crowded the sidewalk is.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA11838947
• 書誌情報: 研究報告ユビキタスコンピューティングシステム（UBI）; 巻 2021-UBI-71, 号 21, p. 1-8, 発行日 2021-08-26
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 2188-8698
• Notice: SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
• 出版者 / 言語: ja
• 出版者: 情報処理学会