Skip to main content
Elsevier
View Cart

Introduction to Digital Human Modeling

  • 1st Edition - May 15, 2025
  • Latest edition
  • Authors: Yujiang Xiang, James Yang
  • Language: English

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 co… Read more

World Book Day celebration

Where learning shapes lives

Up to 25% off trusted resources that support research, study, and discovery.

Explore resources

Description

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.

Key features

  • 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

Readership

Graduate students, researchers in the fields of biomedical engineering, mechanical engineering, industrial engineering, and kinesiology Researchers and professionals in related fields such as biomechanics, human factors engineering, ergonomics, and manual material handling.

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

Product details

  • Edition: 1
  • Latest edition
  • Published: May 15, 2025
  • Language: English

About the authors

YX

Yujiang Xiang

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.
Affiliations and expertise
Associate Professor, Department of Mechanical and Aerospace Engineering, Oklahoma State University, OK, USA

JY

James Yang

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.
Affiliations and expertise
Full Professor, Director of Human-Centric Design Research Lab, Department of Mechanical Engineering, Texas Tech University, TX, USA

View book on ScienceDirect

Read Introduction to Digital Human Modeling on ScienceDirect