| Presentation | 2019-03-08 A Study on Navigation System for Visually Impairment Person based on Egocentric Vision using Deep Learning Takuya Okita, Hiroki Kojima, Sho Ooi, Mutsuo Sano, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | There are 310 thousand the visually impaired person in Japan. They use usually a white cane or a guide dog while walking. However, the number of guide dogs is less than the required number, and the white cane is difficult to get surrounding information. So, we are developing navigation system based on egocentric vision instead of walking support tool such as a white cane. The aim of the research is to develop navigation system with to recognize objects and estimate distances using deep learning. Therefore, to investigate to refer to landmarks object for non-handicapped person while walking and dangerous objects for visually impaired person. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | visually impaired / navigation / egocentric vision / wearable / deep learning / YOLO |
| Paper # | WIT2018-69 |
| Date of Issue | 2019-03-01 (WIT) |
| Conference Information | |
| Committee | WIT / IPSJ-AAC |
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| Conference Date | 2019/3/8(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tsukuba University of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Hearing / Visually impaired person support technology, etc. |
| Chair | Chikamune Wada(Kyushu Inst. of Tech.) / 馬場 哲晃(首都大学東京) |
| Vice Chair | Daisuke Wakatsuki(Tsukuba Univ. of Tech.) |
| Secretary | Daisuke Wakatsuki(AIST) / (Nagoya Inst. of Tech.) |
| Assistant | Manabi Miyagi(Tsukuba Univ. of Tech.) / Takeaki Shionome(Teikyo Univ.) / Takashi Handa(Saitama Industrial Tech. Center) |
| Paper Information | |
| Registration To | Technical Committee on Well-being Information Technology / Special Interest Group on Assistive & Accessible Computin |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Navigation System for Visually Impairment Person based on Egocentric Vision using Deep Learning |
| Sub Title (in English) | |
| Keyword(1) | visually impaired |
| Keyword(2) | navigation |
| Keyword(3) | egocentric vision |
| Keyword(4) | wearable |
| Keyword(5) | deep learning |
| Keyword(6) | YOLO |
| 1st Author's Name | Takuya Okita |
| 1st Author's Affiliation | Osaka Institute of Technology(OIT) |
| 2nd Author's Name | Hiroki Kojima |
| 2nd Author's Affiliation | Osaka Institute of Technology(OIT) |
| 3rd Author's Name | Sho Ooi |
| 3rd Author's Affiliation | Ritsumeikan University(Ritsumeikan Univ.) |
| 4th Author's Name | Mutsuo Sano |
| 4th Author's Affiliation | Osaka Institute of Technology(OIT) |
| Date | 2019-03-08 |
| Paper # | WIT2018-69 |
| Volume (vol) | vol.118 |
| Number (no) | WIT-491 |
| Page | pp.pp.51-56(WIT), |
| #Pages | 6 |
| Date of Issue | 2019-03-01 (WIT) |