Computational Everyday Life Human Behavior Understanding

Open Life Matrix

Abstract

Human behavior understanding in everyday life is promising but not established research field. Our project named 'open life matrix' is focused on this field. In these years, many sensor houses and robotic room projects have been studied and sensing and network technology have been established. However, still we have problems to realize everyday life support information systems and services. There are two major problems. The first one is data representation and computational modeling problem in everyday life. The second one is that we don't have a good way to realize valuable services from research outcomes. We propose a challenge to solve these problems by a scheme for accumulating common data set and probabilistic causal modeling during everyday life services.