Motion Balance Filtering

dc.contributor.authorTak, Seyoonen_US
dc.contributor.authorSong, Oh-youngen_US
dc.contributor.authorKo, Hyeong-Seoken_US
dc.date.accessioned2015-02-16T09:53:02Z
dc.date.available2015-02-16T09:53:02Z
dc.date.issued2000en_US
dc.description.abstractThis paper presents a new technique called motion balance filtering, which corrects an unbalanced motion to a balanced one while preserving the original motion characteristics as much as possible. Differently from previous approaches that deal only with the balance of static posture, we solve the problem of balancing a dynamic motion. We achieve dynamic balance by analyzing and controlling the trajectory of the zero moment point (ZMP). Our algorithm consists of three steps. First, it analyzes the ZMP trajectory to find out the duration in which dynamic balance is violated. Dynamic imbalance is identified by the ZMP trajectory segments lying out of the supporting area. Next, the algorithm modifies the ZMP trajectory by projecting it into the supporting area. Finally, it generates the balanced motion that satisfies the new ZMP constraint. This process is formulated as a constrained optimization problem so that the new motion resembles the original motion as much as possible. Experiments prove that our motion balance filtering algorithm is a useful method to add physical realism to a kinematically edited motion.en_US
dc.description.number3en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume19en_US
dc.identifier.doi10.1111/1467-8659.00436en_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages437-446en_US
dc.identifier.urihttps://doi.org/10.1111/1467-8659.00436en_US
dc.publisherBlackwell Publishers Ltd and the Eurographics Associationen_US
dc.titleMotion Balance Filteringen_US
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