MoDB: Database System for Synthesizing Human Motion Timothy Edmunds, S. Muthukrishnan, Subarna Sadhukhan, and Shinjiro Sueda   View Paper (PDF)   Return to Demo Session 4: Spatial and Temporal DB Abstract Enacting and capturing real motion for all potential scenarios is prohibitively expensive; hence, there is a great demand to synthetically generate realistic human motion. However, it is a central challenge in character animation to synthetically generate a large sequence of smooth human motion. We present a novel, database-centric solution to address this challenge.We demonstrate a method of generating long sequences of motion by performing various similarity-based "joins" on a database of captured motion sequences. This demo illustrates our system (MoDB) and show-cases the process of encoding captured motion into relational data and generating realistic motion by concatenating sub-sequences of the captured data according to feasibility metrics. The demo features an interactive character that moves towards user-specified targets; the character's motion is generated by relying on the real time performance of the database for indexing and selection of feasible sub-sequences. ©2006 Association for Computing Machinery