The field of humanoids robotics is widely recognized as the current challenge for robotics research .The humanoid research is an approach to understand and realize the complex real world interactions between a robot, an environment, and a human. The humanoid robotics motivates social interactions such as gesture communication or co-operative tasks in the same context as the physical dynamics. This is essential for three-term interaction, which aims at fusing physical and social interaction at fundamental levels.
People naturally express themselves through facial gestures and expressions. Our goal is to build a facial gesture human-computer interface fro use in robot applications. This system does not require special illumination or facial make-up. By using multiple Kalman filters we accurately predict and robustly track facial features. Since we reliably track the face in real-time we are also able to recognize motion gestures of the face. Our system can recognize a large set of gestures (13) ranging from “yes”, ”no” and “may be” to detecting winks, blinks and sleeping.
FUll Paper Link