Study On Hand Gesture Recognition Based On Machine Perception

With the development of computer technology, human-computer interaction model of constantly updated, keyboard and mouse have been gradually unable to meet the needs of a new mode of human-computer interaction, how people and machines can be more natural, more human exchange, which the research focus emerged. With the graphics processing, pattern recognition, artificial intelligence and other computer-related fields of technology, the rapid development of the interactive perception based on the machine gradually coming into view, a large number of applications began to appear.This perception by computer, digital image processing, artificial neural networks, a comprehensive subject knowledge application, sign images from the acquisition, image preprocessing gestures, to gesture recognition, classifier design and other aspects of exploration and study of human perception by computer gesture identify methods and processes. The main contents include the following:(1) By the Gaussian model of color algorithms, from simple gestures to extract the background image(2) Image pre-processing stage, the use of digital image processing methods to remove interference noise, to be purely human gesture image.(3) Feature extraction part of the image by selecting the geometric moments to obtain images with obvious features of the gesture, and shape features of this method to establish the method of calculating the image(4) Gesture recognition classification of the design, selection of artificial neural network technology to extract the gesture samples have been analyzed to identifyThe final results demonstrate the feasibility of this method high, and staff for further dynamic gesture recognition research provides some theoretical basis...