Integration of motion control techniques for virtual human and avatar real-time animation
VRST '97 Proceedings of the ACM symposium on Virtual reality software and technology
Real-time inverse kinematics techniques for anthropomorphic limbs
Graphical Models and Image Processing
Quality Engineering Using Robust Design
Quality Engineering Using Robust Design
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Schema for motion capture data management
ICDHM'11 Proceedings of the Third international conference on Digital human modeling
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The efficient and reliable human-integrated design of products and processes is a major goal of the manufacturing industry. Thus, numerous human-related product functionality and manufacturability aspects need to be verified, using simulation, in the context of the product development procedures. The natural representation of human motions in virtual environments is crucial for the reliability of the simulation results. In this context, the paper presents an efficient approach to human motion analysis and modeling with respect to the anthropometric parameters, based on real motion data. Statistical methods employed for the analysis of the data and additive motion models are derived. The models are capable of predicting human motion and driving digital humans in product and worker simulation environments. A specific test case is presented to demonstrate the application of the suggested methodology on a real industrial problem.