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PubMed · 15684549

Proposal for a framework for optimizing artificial environments based on physiological feedback.

Hideyuki Takagi·Shangfei Wang·Shota Nakano
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Abstract

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.

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Environment, ControlledFeedbackHumansModels, NeurologicalNeuronsJournal ArticleResearch Support, Non-U.S. Gov't

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Hideyuki Takagi, Shangfei Wang, Shota Nakano. 2005. Proposal for a framework for optimizing artificial environments based on physiological feedback.. https://doi.org/10.2114/jpa.24.77

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