Simulate realistic human motion in a virtual world with an
optimization-based approach to motion prediction. With this
approach, motion is governed by human performance measures, such as
speed and energy, which act as objective functions to be optimized.
Constraints on joint torques and angles are imposed quite easily.
Predicting motion in this way allows one to use avatars to study
how and why humans move the way they do, given specific scenarios.
It also enables avatars to react to infinitely many scenarios with
substantial autonomy. With this approach it is possible to predict
dynamic motion without having to integrate equations of motion --
rather than solving equations of motion, this approach solves for a
continuous time-dependent curve characterizing joint variables
(also called joint profiles) for every degree of freedom.
Introduces rigorous mathematical methods for digital human
modelling and simulationFocuses on understanding and representing
spatial relationships (3D) of biomechanicsDevelops an innovative
optimization-based approach to predicting human movementExtensively
illustrated with 3D images of simulated human motion (full color in
the ebook version)
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