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J-GLOBAL ID：202002223643466198   Reference number：20A2071694

Smartphone Apps of Obstacle Detection for Visually Impaired and its Evaluation

視覚障害者のための障害物検出のスマートフォン応用とその評価【JST・京大機械翻訳】

Author (5)： Shimakawa Manabu (Dept. Human-Oriented Information, Systems Engineering, National Institute of Technology, Kumamoto College, Koshi, Kumamoto, Japan) ,  Matsushita Kosei (Electronics and Information Systems, Engineering Course, National Institute of Technology, Kumamoto College Koshi, Kumamoto, Japan) ,  Taguchi Issei (Electronics and Information Systems Engineering Course National Institute of Technology, Kumamoto College Koshi, Kumamoto, Japan) ,  Okuma Chiharu (Dept. Human-Oriented Information, Systems Engineering, National Institute of Technology, Kumamoto College, Koshi, Kumamoto, Japan) ,  Kiyota Kimiyasu (Dept. Human-Oriented Information, Systems Engineering, National Institute of Technology, Kumamoto College, Koshi, Kumamoto, Japan)
Material： ACM Proceedings
Issue： ACIT 2019  Page： 1-6  Publication year： 2019 
JST Material Number： D0698C  Document type： Proceedings
Article type： 原著論文  Country of issue： United States (USA)  Language： ENGLISH (EN)

Abstract/Point： This study deals with a smartp...

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Thesaurus term： camera ,  pedestrian ,  image processing ,  application program ,  visually impaired person ,  Commercializing ,  *Smartphone ,  obstacle detection ,  ultrasonic sensor ,  walking support ,  deep learning ,  smartphone application ,  depth image ,  RGB-D camera
Semi thesaurus term： *視覚障害 , 【Automatic Indexing@JST】

Author keywords (6)： CNN ,  Deep learning ,  Obstacle detection ,  Smartphone ,  TensorFlow ,  Visually impaired

JST classification (1)： Prosthesis(=artificial substitutes for body part)  (EL04000N)

Terms in the title (5)： 視覚障害者 ,  障害物検出 ,  スマートフォン ,  応用 ,  評価