Ms. Risa Ueda Profile

Risa Ueda

at Keio Univ

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Proceedings Article | 27 March 2015 Paper

Homeostasis lighting control based on relationship between lighting environment and human behavior

Risa Ueda, Akira Mita

Proceedings Volume 9435, 94352S (2015) https://doi.org/10.1117/12.2083672

KEYWORDS: Light sources and illumination, Control systems, Sensors, Nerve, Systems modeling, Endocrine system, Telecommunications, Robotic systems, Pollution control, Smart structures

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Although each person has own preferences, living spaces which can respond to various preferences and needs have not become reality. Focusing on the lighting environments which influence on the impression of living spaces, this research aims to offer comfortable lighting environments for each resident by a flexible control. This research examines the relationship between lighting environments and human behaviors considering colored lights. In accord with the relationship, this research proposes an illuminance-color control system which flexibly changes spatial environments responding to human conditions. Firstly, the psychological evaluation was conducted in order to build human models for various environments. As a result, preferred lighting environments for each examinee were determined for particular behaviors. Moreover, satisfaction levels of lighting environments were calculated by using seven types of impression of the environments as parameters. The results were summarized as human models. Secondly, this research proposed “Homeostasis Lighting Control System”, which employs the human models. Homeostasis lighting control system embodies the algorithm of homeostasis, which is one of the functions of the physiological adaptation. Human discomfort feelings are obtained automatically by the sensor agent robot. The system can offer comfortable lighting environments without controlling environments by residents autonomously based on the information from the robot. This research takes into accounts both illuminance and color. The robot communicates with the server which contains human models, then the system corresponds to individuals. Combining these three systems, the proposed system can effectively control the lighting environment. At last, the feasibility of the proposed system was verified by simulation experiments.

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