Towards a Generative Model of Emotional Motion
Date Issued
2010
Date
2010
Author(s)
Wei, Chia-Hung
Abstract
In this paper, we present an advice of building a database of emotional motion sets,in order to making a 3D virtue character moves more like real human kind. Generally,
no matter in the entertainments or business, when creating a 3D virtue character, they all depend on the animators, but the creating models still look unreal. Because human
motion will be influenced by human emotions. Then we use the motion capture technology to get some principle components to describe the relationship between human motion and human emotions, through building the database to prove the realistic of the virtue character behavior.
Using motion capture technology, we can get the professional actor’s body language, and base on these information, we can define the parameters of the emotional
behavior equation through the senses and machine learning concepts. Then we can reproduce an whole new motion set with different emotion, different strength flawless.
We can transform an emotionless motion set to a series animation with strongly emotions. The difference between the new one and the old one is we can use those principle concepts given the animation more variability in both emotional domain and original domain, then we can accelerate the product process time and make the whole
animation industry cost down.
Subjects
Motion Capture
Machine Learning
Emotional Motion
Type
thesis
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