A novel head gesture recognition means in the human-wheelchair interaction

As an intelligent human-wheelchair interaction ways, head gesture becomes one of the most pop research topics, and the head gesture recognition is an important aspect of the interactions. In this paper, kalman filter forecast the lips position detected by Adaboost algorithm may be appeared in the next frames first, and then detect the lips in the next frame. Compare the lips window position with a fixed point to confirm the head gesture correspondingly. Kalman filter overcome detect all the possible lips position by just use the Adaboost algorithm in every frame, greatly improve the lips detection precision and reduce the detection time, solve the wheelchair´s time delay.