Human Motion Simulation: Predictive Dynamics (Hardcover)

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 simulation
• Focuses on understanding and representing spatial relationships (3D) of biomechanics
• Develops an innovative optimization-based approach to predicting human movement
• Extensively illustrated with 3D images of simulated human motion (full color in the ebook version)

在虛擬世界中，使用基於優化的運動預測方法來模擬逼真的人體運動。這種方法通過人體性能指標（如速度和能量）來控制運動，這些指標作為優化的目標函數。對關節扭矩和角度的約束也很容易實施。通過這種方式預測運動，可以使用虛擬角色研究人類在特定情境下的運動方式和原因。它還使得虛擬角色能夠對無數情境做出具有相當自主性的反應。這種方法可以在不需要積分運動方程的情況下預測動態運動 - 與解運動方程不同，這種方法解決了每個自由度的關節變量（也稱為關節軌跡）的連續時間相依曲線的問題。

本書介紹了用於數字人體建模和模擬的嚴謹數學方法，重點在於理解和表示生物力學的空間關係（3D）。它開發了一種創新的基於優化的方法來預測人體運動。書中大量使用了模擬人體運動的3D圖像（電子書版本為全彩圖片）。