James Yang – författare

In this very young picture book mystery, a little boy out for a walk with his family stops to show a building doorman his new “bot”: “I have a bot!” Only he doesn’t have it for long, because it floats up out of his hands like an escaped balloon. “Stop! Bot!” Springing to action, the kind doorman runs up to each floor of the building to try and catch it - along with the help of each floor’s resident. But while everything looks normal at first, every floor (and resident) is a little more wacky and unusual than the last! Musicians, baseball players, zoo animals, and finally a very large monkey all play a part - but will they rescue the Bot before it’s too late?! Children will love all the funny details in this very playful picture 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 experimentsApplication of formulated optimization techniques for dynamic human motion prediction???????Hybrid musculoskeletal motion prediction and fatigue modeling