Hierarchical and Compact Bitmap Based Data Structure of Human Dynamics Data for Visualization

Abstract

Analysis and prediction of human dynamics are key technologies to evolve various services for cognizing real world events, and they have been intensively studied in the field of data science. Technologies that support such studies have been advanced, in fields of sensing, analysis, and database. Thanks to recent sensing technologies, precision of sensing human movement is increasing, and a large amount of data is been generated continuously. Accordingly data that indicate a very large population can be efficiently collected, stored and visualized. To enable such a large amount of data to be visualized quickly, we propose data structure for two dimensional space data that has a compact one byte representation and hierarchical structure that can efficiently handle human dynamics data.