Human motion simulation [recurso electrónico] : predictive dynamics / Karim A. Abdel-Malek, Jasbir Singh Arora.
Tipo de material:

Tipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
---|---|---|---|---|---|---|---|
Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | BF295 (Browse shelf(Abre debajo)) | 1 | No para préstamo | 380287-2001 |
Includes bibliographical references and index.
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 mo.
Print version record.
Chapter 1. Introduction -- chapter 2. Human modeling : kinematics -- chapter 3. Posture prediction and optimization -- chapter 4. Recursive dynamics -- chapter 5. Predictive dynamics -- chapter 6. Strength and fatigue : experiments and modeling -- chapter 7. Predicting the biomechanics of walking -- chapter 8. Predictive dynamics : lifting -- chapter 9. Validation of predictive dynamics tasks -- chapter 10. Concluding remarks.
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