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

Por: Abdel-Malek, Karim A [author.]Colaborador(es): Arora, Jasbir Singh [author.]Tipo de material: TextoTextoDetalles de publicación: Waltham, MA : Academic Press, 2013Descripción: 1 online resource (xix, 275 pages) : color illustrationsTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9780124046016; 0124046010; 1299642241; 9781299642249Otro título: Predictive dynamicsTema(s): Motion study | Movement, Psychology of | Human locomotion | PSYCHOLOGY -- Physiological Psychology | Human locomotion | Motion study | Movement, Psychology ofGénero/Forma: Electronic books.Formatos físicos adicionales: Print version:: Human motion simulation.Clasificación CDD: 152.3/34 Clasificación LoC:BF295Recursos en línea: Libro electrónico ScienceDirectTexto
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.
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Existencias
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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