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

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.

Unterstützte Lesegerätegruppen: PC/MAC/eReader/Tablet