Abstract
It is important to know resident's daily basic behavior such as room usage in house design. However, it is difficult to observe the daily basic behavior without seriously invading his/her privacy by common investigation method. Such motivation made us observe when and in which room an elderly living alone was staying in a detached house for a week period using active Radio Frequency Identification (active RFID). Then using Bayesian Network model, we found some behavioral characteristics that showed how she stayed in each specific room and how she moved among rooms. In the result, the resident was inclined to stay longer in the living room than in other rooms. She often stayed in the washing room longer in the afternoon, and stay in the living room longer in the evening. She was inclined to move toward the kitchen and washing room from other rooms in the morning and move to the living room in the afternoon. A connection based on her movement between the living room and kitchen became stronger from morning to the evening. We showed an availability of method to acquire room-using behavior objectively with noninvasive observation technique and to analyze behavioral characteristics by employing Bayesian Network model.
