Proposal for a Framework for Optimizing Artificial Environments Based on Physiological Feedback
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概要
- 論文の詳細を見る
We propose and then evaluate a new framework for finding the physical parameters of an artificial environment which give rise to given target physiological characteristics. We assume that a human is a system that takes as inputs the physical parameters of an artificial environment and outputs physiological parameters in response. We define our task as the inverse problem; we must find the best inputs from given target outputs. Our proposed framework solves the inverse problem using evolutionary computation techniques to optimize an artificial environment. We evaluate this framework using a simulation with a vibration environment and verify that it works.
- 日本生理人類学会の論文
著者
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Wang Shangfei
Faculty of Design, Kvushu University On leaving from Department of computer Science, University of S
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Takagi Hideyuki
Faculty of Design, Kyushu University
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Wang Shangfei
Department Of Anatomy And Cell Biology Graduate School Of Medical Sciences Kyushu University
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Wang Shangfei
Faculty Of Design Kvushu University On Leaving From Department Of Computer Science University Of Sci
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Nakano Shota
Graduate School of Design, Kyushu Institute of Design
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Nakano Shota
Graduate School Of Design Kyushu Institute Of Design
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Takagi Hideyuki
Faculty Of Design Kyushu University
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