MoDB: Database system for synthesizing human motion

Timothy Edmunds, S. Muthukrishnan, Subarna Sadhukhan, Shinjiro Sueda

    Research output: Chapter in Book/Report/Conference proceedingConference contribution


    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 showcases 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.

    Original languageEnglish (US)
    Title of host publicationProceedings - 21st International Conference on Data Engineering, ICDE 2005
    Number of pages2
    StatePublished - 2005
    Event21st International Conference on Data Engineering, ICDE 2005 - Tokyo, Japan
    Duration: Apr 5 2005Apr 8 2005

    Publication series

    NameProceedings - International Conference on Data Engineering
    ISSN (Print)1084-4627


    Other21st International Conference on Data Engineering, ICDE 2005

    ASJC Scopus subject areas

    • Software
    • Signal Processing
    • Information Systems


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