Human behaviour representation using OWL in intelligence space

Abstract

The use of knowledge for service robots is gaining popularity in robotic fields, such as SLAM and speech recognition in recent years. In order to represent human behaviour knowledge through intelligent space for a service robot. This paper proposed a novel method of human behaviour representation using ontology web language through intelligent space. Sensors from intelligent space are installed in a few key areas so user's behaviour will be detected and restored by some specific components of the intelligent space, the data will be processed and organized as a temporal sequence. Then the representation based on ontology is built through mapping relations between behaviour and the related temporal sequence. A web interface is designed at last and users are able to check the ontology model. Normal behaviour can be detected and represented in related experiments. This framework is proved to be potential for human behaviour knowledge representation through intelligent space.