
- 548 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Introduction to Digital Human Modeling
About this book
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
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Introduction to Digital Human Modeling by Yujiang Xiang,James Yang in PDF and/or ePUB format, as well as other popular books in Informatik & Künstliche Intelligenz (KI) & Semantik. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Front Cover
- Introduction to Digital Human Modeling
- Introduction to Digital Human Modeling
- Copyright
- Contents
- Preface
- 1 - Introduction
- 2 - Anthropometric modeling
- 3 - Human anatomy and kinematic skeleton
- 4 - Denavit–Hartenberg method
- 5 - Kinematics and sensitivity analysis
- 6 - Dynamics and sensitivity analysis
- 7 - Numerical interpolation
- 8 - Reach envelope and zone differentiation
- 9 - Kinematics-based posture prediction
- 10 - Physics-based posture prediction
- 11 - Hand modeling
- 12 - Joint strength surface
- 13 - Skeletal symmetric and asymmetric lifting predictions
- 14 - Musculoskeletal lifting prediction and OpenSim model
- 15 - Gait
- 16 - Jumping
- 17 - Sit-to-stand
- 18 - Multiobjective optimization on lifting
- 19 - Fatigue model
- 20 - Lifting posture prediction with fatigue
- 21 - Repetitive lifting prediction with fatigue
- 22 - Team lifting and human–robot interaction
- 23 - Experiments
- Index
- Back Cover