A novel intelligent wheelchair control system based on hand gesture recognition

This research work is related to the application of machine vision technique to develop a robust intelligent wheelchair control system based on hand gesture recognition for those with physical accessibility problem. In this paper, Haar-like features and the AdaBoost learning algorithm are used for hand gesture detection. By comparing the center of the minimum rectangle which contains the hand gesture with a fixed area, the hand gesture commands are determined correspondingly. With this algorithm, real-time performance and high recognition accuracy can be obtained. Experiments show that this approach can achieve the purpose of controlling the intelligent wheelchair by hand gestures robustly.