earticle

영어

Smart homes identify the implicit intentions and needs of occupants through the detection of the activities of residents and their internal environment, and they provide a convenient service to them. In smart home research, context-awareness technology is essential. Context-awareness research requires a large amount of data of residents’ activities in living spaces. Data collection using a simulator is a recently developed method to overcome the difficulties of data collection in the real world, and to get consistent data. In this paper we present the usage of a simulator consisting of a virtual space similar to an actual living space, with virtual sensors and virtual character. Through this simulation we collected user context data which has a high probability in the real world. Collected data is analyzed via a classifier, and resultantly a user activity reasoning model in a virtual living space is generated.