Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-time Hand Gesture Recognition System Based on Q6455 DSP Board
GCIS '09 Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 02
A Six-Degree-of-Freedom Virtual Mouse Based on Hand Gestures
ICECE '10 Proceedings of the 2010 International Conference on Electrical and Control Engineering
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In this paper, the functional commands based on hand gesture are designed by the method of moment, which is invariant to the translation, rotation and scale of a hand gesture. After the transform of the original image with a hand gesture into the YCrCb coordinate, the segmentation of the skinlike object is obtained by the thresholds of Cr and Cb. Then the dilation and median filtering and the area constraint are employed to obtain an acceptable binary image. Various feature vectors corresponding to different processed hand gestures are applied to train the input weight matrix and layer weight matrix of a probability neural network for classification. Furthermore different lighting conditions verify the robustness of the image processing and classification. Finally, eight hand gestures are designed as the commands for the motion control of a 2 DOFs platform. The experiment confirms the effectiveness of the proposed method.