Human Motion Simulation: Predictive Dynamics (Hardcover)
暫譯: 人類運動模擬:預測動力學 (精裝版)

Karim Abdel-Malek, Jasbir Singh Arora Ph.D. Mechanics and Hydraulics University of Iowa

  • 出版商: Academic Press
  • 出版日期: 2013-06-26
  • 定價: $3,250
  • 售價: 8.0$2,600
  • 語言: 英文
  • 頁數: 288
  • 裝訂: Hardcover
  • ISBN: 0124051901
  • ISBN-13: 9780124051904
  • 相關分類: Machine Learning
  • 立即出貨 (庫存=1)

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商品描述

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)

商品描述(中文翻譯)

模擬虛擬世界中真實的人類動作,採用基於優化的運動預測方法。透過這種方法,運動受人類表現指標的約束,例如速度和能量,這些指標作為需要優化的目標函數。對於關節扭矩和角度的約束可以相對容易地施加。以這種方式預測運動使得可以使用虛擬角色來研究人類在特定情境下為何以特定方式移動。這也使得虛擬角色能夠以相當大的自主性對無限多的情境作出反應。透過這種方法,可以預測動態運動,而無需整合運動方程式——這種方法解決的是描述每個自由度的關節變數(也稱為關節輪廓)的連續時間依賴曲線,而不是解決運動方程式。

- 介紹數位人類建模和模擬的嚴謹數學方法
- 專注於理解和表現生物力學的空間關係(3D)
- 開發創新的基於優化的人類運動預測方法
- 以模擬人類動作的3D圖像廣泛插圖(電子書版本為全彩)