Presentation 2017-06-01
Atmosphere Conditioning by Illumination in Smart Living Room
Yoichi Yamazkai, Masanobu Nakamura, Wataru Kutsuzawa, Masao Isshiki,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Atmosphere conditioning method by illumination is proposed to improve human atmosphere in a smart living. In the system, an atmosphere is calculated as a coordinate of three dimension atmosfield, and is classified into two atmospheres based on motion sensor information. The atmosphere is controlled by lighting, where the room lighting changes its color to encourage improvement of the atmosphere. Two types of presentments is proposed and compared in TV program watching situation.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Mood Engineering / Atmosfield / Atmosphere control / Smart house
Paper # AI2017-5
Date of Issue 2017-05-25 (AI)

Conference Information
Committee AI
Conference Date 2017/6/1(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Waseda Univ.
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Tsunenori Mine(Kyushu Univ.)
Vice Chair Daisuke Katagami(Tokyo Polytechnic Univ.) / Naoki Fukuta(Shizuoka Univ.)
Secretary Daisuke Katagami(Ritsumeikan Univ.) / Naoki Fukuta(Univ. of Electro-Comm.)
Assistant

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) Atmosphere Conditioning by Illumination in Smart Living Room
Sub Title (in English)
Keyword(1) Mood Engineering
Keyword(2) Atmosfield
Keyword(3) Atmosphere control
Keyword(4) Smart house
1st Author's Name Yoichi Yamazkai
1st Author's Affiliation Kanagawa Institute of Technology(KAIT)
2nd Author's Name Masanobu Nakamura
2nd Author's Affiliation Kanagawa Institute of Technology(KAIT)
3rd Author's Name Wataru Kutsuzawa
3rd Author's Affiliation Kanagawa Institute of Technology(KAIT)
4th Author's Name Masao Isshiki
4th Author's Affiliation Kanagawa Institute of Technology(KAIT)
Date 2017-06-01
Paper # AI2017-5
Volume (vol) vol.117
Number (no) AI-72
Page pp.pp.23-24(AI),
#Pages 2
Date of Issue 2017-05-25 (AI)