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.
| Original language | English |
|---|---|
| Pages (from-to) | 77-80 |
| Number of pages | 4 |
| Journal | Journal of physiological anthropology and applied human science |
| Volume | 24 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Jan 1 2005 |
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All Science Journal Classification (ASJC) codes
- Social Sciences(all)
Cite this
Proposal for a framework for optimizing artificial environments based on physiological feedback. / Takagi, Hideyuki; Wang, Shangfei; Nakano, Shota.
In: Journal of physiological anthropology and applied human science, Vol. 24, No. 1, 01.01.2005, p. 77-80.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Proposal for a framework for optimizing artificial environments based on physiological feedback
AU - Takagi, Hideyuki
AU - Wang, Shangfei
AU - Nakano, Shota
PY - 2005/1/1
Y1 - 2005/1/1
N2 - 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.
AB - 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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UR - http://www.scopus.com/inward/citedby.url?scp=15244355126&partnerID=8YFLogxK
U2 - 10.2114/jpa.24.77
DO - 10.2114/jpa.24.77
M3 - Article
C2 - 15684549
AN - SCOPUS:15244355126
VL - 24
SP - 77
EP - 80
JO - Journal of Physiological Anthropology
JF - Journal of Physiological Anthropology
SN - 1880-6791
IS - 1
ER -