Human motion simulation : predictive dynamics
著者
書誌事項
Human motion simulation : predictive dynamics
Elsevier Academic Press, c2013
大学図書館所蔵 件 / 全7件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Includes bibliographical references (p. 247-268) and index
内容説明・目次
内容説明
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.
目次
1. Introduction2. Human Modeling: Kinematics 3. Posture Prediction and Optimization 4. Recursive Dynamics5. Predictive Dynamics 6. Strength and Fatigue: Experiments and Modeling 7. Predicting the Biomechanics of Walking 8. Predictive Dynamics: Lifting 9. Validation of Predictive Dynamics Tasks 10. Concluding Remarks
「Nielsen BookData」 より
