2A1-C08 Search and Visualization System of Distributed Sensor Databases for Activity Analysis of Multiple People in Local Community(Cooperation between Human and Machine)
Masanori OGIHARA, Hiroshi Noguchi, Masamichi Shimosaka, Mihoko Otake, Kota Tsubouchi, Hiroyuki Yamato, Taketoshi Mori, Tomomasa Sato · The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) · 2011
This paper describes development of search and visualization system that deals with heterogeneous time-series activity sensor data in distributed databases. We have collected different types of activity data from living enviroments of elderly people in south area of Kashiwa city: walking data by pedometers, indoor actions by pyroelectric sensors and transportation utility data by on-demand bus reservation. Different search methods are prepared for all databases and these methods extract activity history data in a unified form. This mechanism enables the search system to deal with the heterogeneous activity databases uniformly. In addition, the system provides the method for extracting person group by statistics of extracted activity history. The system facilitates activity analysis through searching action history data from diffrent data sources and visualizing these data comprehensibly. Two experiments showed that the system enables cross-sectional search from heterogeneous time-series activity databases: 1) Identification of the same person from different activity databases and 2) Extraction of person group from activity history data.