Individual everyday life-centered understanding of everyday life using RGBD sensors and virtual sensors

Abstract

In everyday life, there are issues such as living functioning changes and accidents due to the changes. It is dfficult to understand issues tailored to the individual because these approaches are disconnected from the individual's living environment. However, it is difficult to construct a data collection system tailored to individual living environments. The authors have previously proposed a living data collection system tailored to individual living environments using RGBD sensors and virtual sensors. The virtual sensor is a module that detects events such as human-object interactions on 3D point cloud data, and by combining these sensors, it is possible to understand living conditions. In this paper, we propose a method using RGBD sensors and virtual sensors, and describe an analysis of living conditions conducted on data acquired at a nursing care facility and a general home.