| I build statistical models for understanding and predicting human motion. I use motion capture technology to record the position of markers attached to the body during motion. The data consist of the 3D trajectories of these markers. This involves various types of functional data including curves, 3D trajectories and orientation trajectories. All these components need to be combined to produce a coherent prediction of human motion. I am interested in how factors such as height, weight, age and gender affect motion and in constructing models to predict new motions. The main area of application of my work has been in digital human modeling for virtual manufacturing applications. Many products and workplaces are designed in a virtual world before they are realized. To test these environments, one needs a virtual human to explore the performance of these designs for human use. One example of such design software is Jack. Before I moved to the University of Bath in July 2006, I was associate director of the Human Motion Simulation Laboratory at the University of Michigan. I am also interested in facial motion. |