The Study Of Human-computer Interaction Gesture Recognition Based On Visual Recognition

The rapid development of modern computing and digital media technology makes people contact and interaction with the computer more and more frequently,and it is very often in Daily lives.Because of people living standard unceasing enhancement,convenience and freedom in communication for computer puts forward higher and higher requirements.With the continuous application of all kinds of new hardware,people often use the human-computer interaction which is still confined to the keyboard,mouse and other equipment,these devices due to itself the characteristics of the design factors,the raise of human-computer interaction in larger limits its speed and natural development.Therefore,due to the limitations of the level of computer technology,there is still a great space of the development of human-computer interaction,and the human-computer interaction gesture recognition technology based on computer vision technology is one of the key technologies to reduce this distance.Gesture is a very intuitive and natural way of communication.Through the gestures as a direct input device,people can eliminate the human-computer interaction between the middle of the media to achieve the user's direct and simple operation of human-computer communication.The computer provides a more natural human-computer interaction through gesture recognition.Based on the research of the classification of gesture recognition,tracking technology of gesture recognition and gesture recognition algorithm,this paper discusses the application prospect of human-computer interaction technology.In view of the shortcomings of the current application of gesture positioning technology in skin color detection and motion detection,the standard CamShift algorithm and the improved CamShift algorithm are researched and analyzed in detail.It is found that the standard CamShift algorithm is computationally small,but it is difficult to reflect the influence of large area skin color interference if the complex dynamic background is encountered.Based on this,this paper proposes a dynamic gesture recognition algorithm based on Kalman filter,and proves that the method is more accurate in gesture tracking.In addition,this paper proposes a gesture recognition algorithm combining geometric moments and edge detection techniques to extract the geometrical moments of the images from the binarized gesture images to establish the geometric moment eigenvectors of the gestures and to map the edges of the images Part of the direct detection,and then the histogram of the image of the direction of the characteristics of the description,using the set of two feature weights to calculate the distance between the images,thus completing the accurate gesture recognition.In this paper,man-machine interaction based on gesture recognition is realized by means of computer vision technology,digital image processing technology and pattern recognition technology.The correctness of gesture recognition based on computer vision is verified by experiments.,To achieve natural,efficient and accurate human-computer interaction.