Synthesis of Responsive Motion Using a Dynamic Model

dc.contributor.authorYe, Yutingen_US
dc.contributor.authorLiu, C. Karenen_US
dc.date.accessioned2015-02-23T16:41:00Z
dc.date.available2015-02-23T16:41:00Z
dc.date.issued2010en_US
dc.description.abstractSynthesizing the movements of a responsive virtual character in the event of unexpected perturbations has proven a difficult challenge. To solve this problem, we devise a fully automatic method that learns a nonlinear probabilistic model of dynamic responses from very few perturbed walking sequences. This model is able to synthesize responses and recovery motions under new perturbations different from those in the training examples. When perturbations occur, we propose a physics-based method that initiates motion transitions to the most probable response example based on the dynamic states of the character. Our algorithm can be applied to any motion sequences without the need for preprocessing such as segmentation or alignment. The results show that three perturbed motion clips can sufficiently generate a variety of realistic responses, and 14 clips can create a responsive virtual character that reacts realistically to external forces in different directions applied on different body parts at different moments in time.en_US
dc.description.number2en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume29en_US
dc.identifier.doi10.1111/j.1467-8659.2009.01625.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages555-562en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2009.01625.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltden_US
dc.titleSynthesis of Responsive Motion Using a Dynamic Modelen_US
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