Interactive computer animation of hand gestures using status estimation with multiple regression analysis and DP matching

摘要

This paper presents a method of interactively generating natural hand animation using reduced dimensionality from multiple captured data sequences of finger motions conducting specific tasks. This method is achieved by introducing an estimation with multiple regression analysis. Even when the skeletal structure of the user who inputs the motion is different from that of the shape model in the computer, the motion that a user imagines is generated. Moreover, by introducing a real-time recognition of hand motions with DP matching, the user is able to conduct multiple finger motions one after another. This method enables us to make input devices that require minimal user training and computer calibration, and helps to make the user interface intuitive and easy to use.