Human Identification Based on Human Skill Models

In this paper, a new approach for human identification based on human skill models is proposed. The approach includes two steps: human skill abstraction and human identification. The first step is to abstract the human manipulation skill as a hybrid dynamical system model from experimental data, and the second step is to do personal identification by the obtained models. As an example, human driving skill models of a small radio-controlled vehicle are applied to the proposed approach and simulation results illustrate its effectiveness.