Construction and animation of anatomically based human hand models
Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
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Automatic interpretation and animation of human motion has become an important research topic among researchers in virtual reality and computer animation. One major problem encountered during hand motion analysis is the huge amount of data that need to be captured and analyzed. Even for human hand, though a small part of our body involved about 30 motion parameters for each hand posture. In this paper, we present our approach for hand motion animation using only the static images of the set of target gestures. We achieve naturalistic hand motion animation by the use of an anatomy-based hand model and a hand gesture coding system, which we called Hand Action Coding System (HACS). This allows complex sequence of hand gestures to be animated based only on the static image of the hand gestures to be animated. This approach greatly simplifies the motion data acquisition and the process of motion analysis and synthesis.