Introduction to Digital Human Modeling

Auteur
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 at Tsinghua University, China. In 2008, he received his Ph.D. at the University of Iowa. His current research interests include human dynamics and control, human motion prediction, musculoskeletal modeling, exoskeleton, and human-robot interaction. Dr. James Yang is a Full Professor and Director of the Human-Centric Design Research Lab at Texas Tech University. He holds degrees in automotive engineering from Jilin University in China and a PhD in mechanical engineering from the University of Iowa. He has experience as a faculty member at Tsinghua University and as a research engineer at the University of Iowa. Dr. Yang is a fellow of the SAE and ASME and a senior member of IEEE. He serves as an associate editor for several international journals in the fields of human-machine systems, biomechanics, ergonomics, and healthcare engineering. His research interests include digital human modeling and simulation, biomechanics, healthcare engineering, and driver behavior modeling for autonomous vehicles.

Texte du rabat
Introduction to Digital Human Modeling bridges the gap in current literature by providing a comprehensive book on digital human modeling for beginners and researchers. The contents include step-by-step procedures to build a digital human model, fundamental human kinematics and dynamics, advanced topics like motion prediction and injury prevention, and industrial applications. The target audience is undergraduate and graduate students in biomedical engineering, mechanical engineering, industrial engineering, and kinesiology. The book covers theories and experiment-based validation, including human anatomy, degrees of freedom, skeletal and musculoskeletal modeling, equations of motion, reach envelopes, lifting prediction, and injury analysis. The book teaches readers how to build simulation-based human models, set up equations of motion, analyze human biomechanics, and use simulations and experiments to study worker injuries. The book provides an introduction to fundamentals and advanced digital human modeling methods and optimization techniques to improve performance and prevent injuries in manual material handling and address lifting and gait biomechanics and ergonomics.

Contenu

1. Introduction 2. Anthropometric modeling 3. Human Anatomy and Kinematic Skeleton 4. Danevit-Hartenberg Method 5. Kinematics and Sensitivity Analysis 6. Dynamics and Sensitivity Analysis 7. Numerical Interpolation 8. Reach Envelop 9. Posture Prediction 10. Hand modeling 11. Joint Strength Surface 12. Skeletal Lifting Prediction Using Sequential Quadratic Programming Algorithm 13. Musculoskeletal Lifting Prediction and OpenSim Model 14. Gait 15. Jumping 16. Sit-to-stand 17. Multi-objective optimization on digital human modeling 18. Fatigue Model 19. Lifting Posture Prediction with Fatigue 20. Repetitive Lifting Prediction with Fatigue 21. Collaborative lifting 22. Experiments