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Hand gesture has been used in different applications and implemented on different platforms. Hence, a real-time and robust approach with high recognition accuracy is important in smart devices. This paper describes a novel method of hand gesture recognition using Principle Component Analysis (PCA) implemented in Android phone. Area features are adopted to do the gesture recognition. It solves these...
This paper presents a new dynamic gesture recognition algorithm. Through the counter-clockwise obtain the edge coordinates of the hand, thereby obtaining theinformation like the location and distance, angle of the finger-root and fingertip. This information is used to identify commonly used dynamic gestures like grabbing, putting, moving, clockwise rotating, counterclockwise rotating and pushing forward,...
A novel feature extraction method for hand gesture recognition from sequences of image frames is described and tested. The proposed method employs higher order local autocorrelation (HLAC) features for feature extraction. The features are extracted using different masks from Grey-scale images for characterising hands image texture with respect to the possible position, and the product of the pixels...
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