Presentation 2022-12-21
Visually impaired support system for meal planning using volume estimation based on RGB-D camera
Taro Tokui, Yuya Osaki, Yukie Nagano, Daiki Takamura, Yuichi Nagaoka, Yoshimune Hiratsuka, Hirotaka osawa, Satoshi Kurihara,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Visually impaired people tend to eat such as "eating one kind of food at a time" or "mixing all the food together" when eating. In Japan, there is a culture that does not favor these ways of eating, which is a psychological barrier for the visually impaired people when eating out. In this study, we examined whether the amount of food remaining in front of the visually impaired people estimated using an RGB-D camera, and whether it is possible for the visually impaired people to plan his or her meal without using visual information. We conducted an evaluation experiment using a blindfolded person with normal eyesight to demonstrate the effectiveness of voice-guided assistance.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Visually impaired / Support for eating / RGB-D Camera / Volume estimation
Paper # AI2022-39
Date of Issue 2022-12-14 (AI)

Conference Information
Committee AI
Conference Date 2022/12/21(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Yuichi Sei(Univ. of Electro-Comm.)
Vice Chair Yuko Sakurai(AIST) / Tadachika Ozono(Nagoya Inst. of Tech.)
Secretary Yuko Sakurai(Tokyo Univ. of Agriculture and Technology) / Tadachika Ozono(Toho Univ.)
Assistant Kazutaka Matsuzaki(Chuo Univ.)

Paper Information
Registration To Technical Committee on Artificial Intelligence and Knowledge-Based Processing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Visually impaired support system for meal planning using volume estimation based on RGB-D camera
Sub Title (in English)
Keyword(1) Visually impaired
Keyword(2) Support for eating
Keyword(3) RGB-D Camera
Keyword(4) Volume estimation
1st Author's Name Taro Tokui
1st Author's Affiliation Keio University(Keio)
2nd Author's Name Yuya Osaki
2nd Author's Affiliation Keio University(Keio)
3rd Author's Name Yukie Nagano
3rd Author's Affiliation Keio University(Keio)
4th Author's Name Daiki Takamura
4th Author's Affiliation Keio University(Keio)
5th Author's Name Yuichi Nagaoka
5th Author's Affiliation Tokyo Independent Living Support Center for the Visually Imparied(TILS)
6th Author's Name Yoshimune Hiratsuka
6th Author's Affiliation Juntendo University(Juntendo)
7th Author's Name Hirotaka osawa
7th Author's Affiliation Keio University(Keio)
8th Author's Name Satoshi Kurihara
8th Author's Affiliation Keio University(Keio)
Date 2022-12-21
Paper # AI2022-39
Volume (vol) vol.122
Number (no) AI-322
Page pp.pp.36-41(AI),
#Pages 6
Date of Issue 2022-12-14 (AI)