Modeling human-like autonomous behaviors and movements of virtual humans in real-time virtual environment

Abstract

Creating realistic virtual humans has been a challenging objective in the areas of computer science research and technology industry. While there are a number of aspects to create realistic virtual humans, this paper focuses on the comprehensive integrated framework of modeling virtual humans with high level autonomy, which aim to reproduce human-like believable behaviors and movements of virtual humans in virtual environment. In the framework, the perception module enables virtual human to explore the virtual environment and gets vision and audition information; the decision networks based behavioral decision-making module allows virtual human react appropriately to the perceived surrounding environment; the hierarchical movement animation control module is designed to generate autonomous character navigation and realistic motions for character animation in virtual environment. The integrated framework presented is tested in the simulated virtual environment.