Learning and recognizing behavioral patterns using position and posture of human

In general, it is possible to find certain behavioral patterns in human daily activity. Such patterns are called as daily behavioral patterns. The purpose of this research is to learn and recognize behavioral patterns. In the previous methods, it is difficult to recognize in detail how a person acts in a room because the methods recognize only a sequence of existing position of human by using the information of infrared sensors or of switching on/off of electrical appliances. On the other hand, many have proposed the methods recognizing human motions from sequential images, in most of which motion models must be prepared in advance. In this paper, we propose a method for learning and recognizing motions of human without any motion models. In addition, we also propose perceptive methods of recognizing behavioral patterns by taking not only the sequence of position but also the sequence of motion into consideration. Experiments show that our approach is able to learn and recognize human behavior and confirm effectiveness of our method