Research And Application Of Gesture Recognition

Gesture recognition technology is a key technology in the field of human-computer interaction today, this technology involves a wide range of fields, such as pattern recognition, intelligent analysis, three-dimensional image processing, computer vision and other fields. Gestures intelligent information exchange and processing advantages of its case intuitive, natural and easy to learn and does not require human interaction with the specialized hardware, favored by more and more scholars and academic attention.This paper describes a monocular vision under study and application of gesture recognition technology in the field of intelligent table by the wireless camera to capture a variety of rotating gestures diners at the table to make the outer edge of the turntable, using gesture recognition technology to identify the type of gesture, tone the control unit controls the motor speed according to the different types of gestures issued acceleration, deceleration, reverse, stop command, etc., the intelligent table rotation.The organizational structure of the paper is as follows:Firstly, This paper describes the background and significance of the research gesture recognition, gesture recognition of the importance of the concept of human-computer interaction led by then summarizes the development status at home and abroad in recent years, gesture recognition technology and rotary table appearing on the market at present insufficient intelligence and speed of rotation suspend the issue can’t meet the real-time requirements of each diner, combined with gesture recognition technology made the gesture command diner table rotation ideas and vision.Secondly, the next two chapters in the detailed description of the static gesture recognition image processing steps and thinking and dynamic gesture recognition steps and ideas respectively. Static gesture recognition research object is the hand gesture and a single hand, such as a finger straight or bent, the number of the direction of the finger, fingertip referred etc., a gesture image processing computer can get this image representative of meaning. The study of dynamic gesture recognition is a continuous gesture, which is composed of a series of static gestures, each gesture recognition not only to the image, but also to identify trends and patterns of hand movement, so that this image of consecutive gestures identify the significance of the entire gestures on the degree of difficulty, the difficulty of dynamic gesture recognition technology is relatively higher.Again, the basis of the previous chapters use a combination of theory and practice methods, diner table rotation gesture recognition application control experiments were carried out using a static gesture recognition gesture diners respectively for image acquisition, spatial conversion, grayscale processing, image smoothing and binary processing, and image feature extraction, using a template matching method to achieve a gesture classification, experimental results confirm the success of this algorithm, which also make up the lack of traditional rotary tables intelligence and rotational instability, turning to meet the needs of smart diner.Finally, the whole paper summarizes and presents the future direction of improvement.