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.
Table of Contents
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