Imagen de Google Jackets

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

Por: Colaborador(es): Tipo de material: TextoDetalles de publicación: Waltham, MA : Academic Press, 2013.Descripción: 1 online resource (xix, 275 pages) : color illustrationsTipo de contenido:
  • text
Tipo de medio:
  • computer
Tipo de soporte:
  • online resource
ISBN:
  • 9780124046016
  • 0124046010
  • 1299642241
  • 9781299642249
Otro título:
  • Predictive dynamics
Tema(s): Género/Forma: Formatos físicos adicionales: Print version:: Human motion simulation.Clasificación CDD:
  • 152.3/34 23
Clasificación LoC:
  • BF295
Recursos en línea:
Contenidos:
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.
Resumen: 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.
Valoración
    Valoración media: 0.0 (0 votos)
Existencias
Imagen de cubierta Tipo de ítem Biblioteca actual Biblioteca de origen Colección Ubicación en estantería Signatura topográfica Materiales especificados Info Vol URL Copia número Estado Notas Fecha de vencimiento Código de barras Reserva de ítems Prioridad de la cola de reserva de ejemplar Reservas para cursos
Libro Electrónico Biblioteca Electrónica Colección de Libros Electrónicos BF295 (Navegar estantería(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.

19

Compartir