A Consideration of Real-World Semantics for Various Utilization of Environment(2)

抄録

The pervasive association project aims to knowledge process the information about the real world. To achieve this goal, bridging of the human knowledge and the sensor data btained from the real world plays a key role. To tackle this task, we propose a real world event labelling method based on primitive elements of events. In this paper, we focus on selection of the primitive elements based on the notion of motion study and function analysis. By describing concepts that form the human knowledge as a combinations and sequences of primitive elements, the existing knowledge is extended for the correspondence to sensor data.