MoDB: Database system for synthesizing human motion Conference Paper

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 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. 2005 IEEE.

name of conference

• 21st International Conference on Data Engineering (ICDE'05)

authors

• Sueda, Shinjiro

published proceedings

• ICDE 2005: 21ST INTERNATIONAL CONFERENCE ON DATA ENGINEERING, PROCEEDINGS

author list (cited authors)

• Edmunds, T., Muthukrishnan, S., Sadhukhan, S., & Sueda, S.

citation count

• 0

complete list of authors

• Edmunds, T||Muthukrishnan, S||Sadhukhan, S||Sueda, S

publication date

• January 2005

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• Proceedings / International Conference on Data Engineering. International Conference on Data Engineering  Journal

Digital Object Identifier (DOI)

• 10.1109/icde.2005.89

International Standard Book Number (ISBN) 10

• 0-7695-2285-8

start page

• 1131

end page

• 1132

URL

• http://dx.doi.org/10.1109/icde.2005.89