抄録
It is important to record daily activity for well-maintained human health care. For this purpose, a monitoring system based on multiple microelectromechanical systems (MEMS) has been developed. Using the MEMS based monitoring system, several kinds of numerical data of subject's activity can be stored. When subject's activity on a single day is recorded, a huge volume of data is obtained. To estimate the subject's behavior from such a huge volume data, we propose a fuzzy rule based approach. Our proposed method consists of two steps of abstraction. First, action primitives are defined. In the first-step abstraction, a fuzzy rule which maps a part of numerical data onto an action primitive are generated from sample data or human knowledge. Therefore, numerical data are expressed by a sequence of action primitives. Next, a fuzzy rule which maps a sequence of actions onto a behavior is defined by human user for each behavior. In the second-step abstraction, each action sequence is expressed as a behavior by using the defined fuzzy rules. From the results of the abstraction, we can estimate the subject's state.
