Introduction to Digital Human Modeling

Häftad, Engelska, 2025

Del i serien Medical Robots and Devices: New Developments and Advances

1 495 kr

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Beskrivning

Introduction to Digital Human Modeling bridges the gap in current literature by providing a comprehensive resource on digital human modeling for beginners and researchers. The content includes step-by-step procedures for building a digital human model, fundamental human kinematics and dynamics, advanced topics such as motion prediction and injury prevention, and industrial applications.

The book covers theoretical concepts and experimental validation, including human anatomy, degrees of freedom, skeletal and musculoskeletal modeling, equations of motion, reach envelopes, lifting prediction, muscle fatigue model, and injury analysis. It teaches readers how to build simulation-based human models, set up equations of motion, analyze human biomechanics, and utilize simulations and experiments to study worker injuries.

Furthermore, the book introduces both fundamental and advanced digital human modeling methods and optimization techniques aimed at improving performance and preventing injuries in manual material handling, as well as addressing lifting and gait biomechanics and ergonomics.

Step-by-step procedures for building a digital human model
???Validation of predicted human motion using simulations and experiments
Application of formulated optimization techniques for dynamic human motion prediction
???????Hybrid musculoskeletal motion prediction and fatigue modeling

Produktinformation

Utgivningsdatum:2025-06-13
Mått:191 x 235 x 27 mm
Vikt:1 130 g
Format:Häftad
Språk:Engelska
Serie:Medical Robots and Devices: New Developments and Advances
Antal sidor:546
Förlag:Elsevier Science
ISBN:9780443219986

Utforska kategorier

Människa – datorinteraktion inom Data och IT
Databaser inom Data och IT
Artificiell intelligens inom Data och IT

Mer om författaren

Dr. Yujiang (Mike) Xiang is currently an associate professor in the Department of Mechanical and Aerospace Engineering at Oklahoma State University. He received his B.S. and M.S. degrees in Automotive Engineering from Tsinghua University, China. In 2008, he earned his Ph.D. from the University of Iowa. His current research interests include human dynamics and control, human motion prediction, musculoskeletal modeling, exoskeletons, and human-robot interaction. Dr. James Yang is a Full Professor and the Director of the Human-Centric Design Research Lab, Associate Chair for Graduate Affairs at Texas Tech University. He holds B.S. and M.S. degrees in automotive engineering from Jilin University in China and a Ph.D. in mechanical engineering from the University of Iowa. He has served as a faculty member at Tsinghua University and as a research engineer at the University of Iowa. Dr. Yang is a fellow of SAE and ASME, a senior member of IEEE, and Fulbright Scholar. He serves as an associate editor for several international journals in the fields of human-machine systems, biomechanics, ergonomics, and healthcare engineering. He has received various national and international awards. His research interests include digital human modeling and simulation, human digital twin, biomechanics, healthcare engineering, and driver behavior modeling for autonomous vehicles.

Innehållsförteckning

1. Introduction2. Anthropometric modeling3. Human Anatomy and Kinematic Skeleton4. Danevit-Hartenberg Method5. Kinematics and Sensitivity Analysis6. Dynamics and Sensitivity Analysis7. Numerical Interpolation8. Reach Envelop9. Posture Prediction10. Hand modeling11. Joint Strength Surface12. Skeletal Lifting Prediction Using Sequential Quadratic Programming Algorithm13. Musculoskeletal Lifting Prediction and OpenSim Model14. Gait15. Jumping16. Sit-to-stand17. Multi-objective optimization on digital human modeling18. Fatigue Model19. Lifting Posture Prediction with Fatigue20. Repetitive Lifting Prediction with Fatigue21. Collaborative lifting22. Experiments