Abstract
On up coming aging society, the numbers of elderly people who live alone are increasing rapidly. We need surveillance system for them, by which their family who lives away from them can monitor their health condition. Several monitoring system has been developed using some home application as sensor device for their dairy activities. However, their sensory data are too poor to derive the detailed health condition of the elderly people. Furthermore, the communication media are not carefully examined, which results that these systems are not used well.
This paper presents the surveillance system that monitors the everyday health condition of elderly people in detail. The system is focused on detecting unusual activity. As the first step, we are examining to classify the variety in walking, e.g., limp, walking with head bent forward, etc.
