System of recognizing human action by mining in time-series motion logs and applications

For solving the “Digital divide” problem and developing a system which understands human, the data mining technology is being developed. Moreover, within the concept of Kukanchi, the system can not only collect information, but also provide service to user. In this paper, the authors show two experiments which constructed based on “Kukanchi”. These Kukanchi systems include both techniques of action recognition and mining in time-series motion logs. In the first experiment, the authors constructed a service robot system, which makes networked robots exchange and provide the information to customers by recognizing their actions, to show the basis concept of the paper. In the second experiment, the authors show the possibility of using interactive data mining, which uses visualization techniques to help human add judgments, to improve the results of the first experiment. The two experiments show the utility and possibility of Kukanchi and mining in time-series motion logs which supports the system to understand human and help people directly.