SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Perceptual metrics for character animation: sensitivity to errors in ballistic motion
ACM SIGGRAPH 2003 Papers
Multiobjective control with frictional contacts
SCA '07 Proceedings of the 2007 ACM SIGGRAPH/Eurographics symposium on Computer animation
Contact-aware nonlinear control of dynamic characters
ACM SIGGRAPH 2009 papers
Optimizing walking controllers
ACM SIGGRAPH Asia 2009 papers
Robust physics-based locomotion using low-dimensional planning
ACM SIGGRAPH 2010 papers
Terrain-adaptive bipedal locomotion control
ACM SIGGRAPH 2010 papers
Optimizing walking controllers for uncertain inputs and environments
ACM SIGGRAPH 2010 papers
Seeing is believing: body motion dominates in multisensory conversations
ACM SIGGRAPH 2010 papers
Generalized biped walking control
ACM SIGGRAPH 2010 papers
Perceptual evaluation of human animation timewarping
ACM SIGGRAPH ASIA 2010 Sketches
Evaluating the physical realism of character animations using musculoskeletal models
MIG'10 Proceedings of the Third international conference on Motion in games
IEEE Computer Graphics and Applications
Interactive Character Animation Using Simulated Physics: A State-of-the-Art Review
Computer Graphics Forum
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Determining injury levels for virtual characters is an important aspect of many games. For characters that are animated using simulated physics, it is possible assess injury levels based on physical properties, such as accelerations and forces. We have constructed a model for injury assessment that relates results from research on human injury response to parameters in physics-based animation systems. We describe a set of different normalized injury measures for individual body parts, which can be combined into a single measure for total injury. Our research includes a user study in which human observers rate the injury levels of physics-based characters falling from varying heights at different orientations. Results show that the correlation between our model output and perceived injury is stronger than the correlation between perceived injury and fall height (0.603 versus 0.466, respectively, with N=1020 and p