Gesture Recognition Based On Kinect And Applying It In The Logistics Exhibitions

The rapid development of information technology has brought profound influence on people’s life. With the progress of computer technology, the means of human-computer interaction are also constantly updated, the development of human-computer interaction is from adapting people to the computer to adapting the computer to people. In recent years, the emerging somatosensory interaction has become a biggest heat of the natural human-computer interaction (HCI).Originally, the technology is drove by some somatic games, and now it has been extended to video surveillance, interaction design, identification, serious games and many other application fields. For example, Microsoft released Kinect sensor in 2010, and it has been favored by many users and researchers with its cheapness and efficiency. The core of the technology is using machine vision to capture and analyze human behaviors. Gesture recognition is realized by the computer equipment with precision analysis and requisite interpretation for the gestures, and it has become an important means of HCI now. This way is non-contacting and natural interaction, and it has many characteristics, such as natural, succinct and rich. Therefore, the form of hands directly as a means of interaction will be the trend of the future HCI, and has a broad application prospect and great research value.Combining the development tools of Kinect for Windows SDK v 1.8, the article puts forward a simple method of dynamic gesture recognition based on the Kinect which is a new sensor from Microsoft in the environment of VS2010. Kinect sensors can track human bodies within their effective scope in real-time and obtain the corresponding depth information and bones at the same time. That is a new chapter of the HCI. Firstly, we separate each dynamic hand gesture as a combination of several micro-gestures which are predefined eight different directions. Then Dynamic Time Warping algorithm is adopted to find the most similar template gesture, and realize corresponding control instruction of the matching template gestures, and consequently, we can realize somatosensory interaction by recognizing dynamic hand gestures. Finally, the article applies the technology of gesture recognition in the logistics exhibitions, and realizes the basic browsing operation of some pictures of logistics equipment rapidly and accurately, such as rotation, scaling, which improves a lot of fun of browsing for the users!...