Study on intelligent autonomous navigation of avatar using hand gesture recognition

The authors present a real time hand gesture recognition system that controls the motion of a human avatar based on predefined dynamic hand gestures in a virtual environment. First, we note that recognition of a distinction between the start and end of a motion is needed and a lot of time is spent on learning in conventional recognition systems. To resolve this problem, we propose a recognition method using intelligent techniques. Then, we also present an obstacle-free path generation method to ensure that an avatar can navigate, avoiding obstacles in a virtual environment