Abstract

With the continuous development of science and technology, computer technology is also further improved, more and more operating instructions, and its functions are more comprehensive. Human computer interaction is the process that people adapt to the computer from the past to the computer constantly adapt to people. For example, human-computer interaction through graphics is attracting people to research. In this paper, raspberry PI combined with camera is used to collect the two-dimensional model data of gesture, and the feature processing of gesture information is completed. Hand gesture recognition is carried out through OpenCV image preprocessing, the boundary of input image is selected, the existence of hand is scanned, and the contour of hand is drawn to recognize and display finger. Using Spyder integrated development environment to complete the design and implementation of human-computer interactive gesture application system, which can effectively identify different types of gestures, so that it can be applied to real life to solve the needs of special environment.

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