Abstract

It is urgent issue to introduce re-usable energy system, low carbon resources, and food production system compatible with natural environment and we should find an optimized solution in an economic society. “Smart environment” is one of the solutions. The smart environment is expected to optimize a balance of well-being versus energy cost. However, we have no idea what is the best optimization and how to optimize the balance. Here, we attempted to develop a bio-eco system which is able to sense human behavior and physiological response under certain environment to automatically regulate environment to realize a balance which improves human health with minimum energy cost. We describe an information processing model accompanied with the multi-parametric visualization of social interaction behavior in animals and humans based on mainly principal component analysis. For this application in primates, we analyzed their psychological lifelong development to find any susceptible period to environments which is critical to confer their lifelong adaptability to environment. In the study, we could confirm usefulness of blood glucose sensing to infer developmental stages.

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