A gesture recognition method and system

Abstract

The invention relates to the technical field of computer signal processing, in particular to a gesture recognition method and system. A gesture recognition method, comprising the following steps: step S1, collecting images to obtain an image sequence; step S2, obtaining a frame difference between predetermined image frames in the image sequence, and performing motion segmentation according to the frame difference to obtain a current motion area; Step S3, perform static gesture recognition in the motion area; step S4, perform dynamic gesture recognition after the static gesture is recognized. The above solutions can support multiple static gestures and dynamic gesture recognition at the same time, which improves the complexity of the calculation, improves the accuracy of gesture recognition, and improves the operating efficiency; Control with gesture changes.

Description

technical field [0001] The invention relates to the technical field of computer signal processing, in particular to a gesture recognition method and system. Background technique [0002] With the development of science and technology and the transformation of people's lifestyle, people have higher and higher requirements for intelligent lifestyle. Compared with traditional human-computer button interaction, people are more inclined to natural intelligent human-computer interaction. Gesture recognition can introduce gestures, a natural and intuitive way of communication, into the human-computer interface to achieve human-computer interaction that is more in line with human behavior habits, and plays an indispensable role in the development of human-computer interaction; vision-based gestures Recognition has become a very active research field in the field of human-computer interaction. In the existing technology, vision-based gesture recognition relies heavily on the external...

AI Technical Summary

Problems solved by technology

Gesture recognition can introduce gestures, a natural and intuitive way of communication, into the human-computer interface to achieve human-computer interaction that is more in line with human behavior habits, and plays an indispensable role in the development of human-computer interaction; vision-based gestures Recognition has become a very active research field in the field of human-computer interaction. In the existing technology, vision-based gesture recognition relies heavily on the external environment during data collection, such as complex lighting, complex background, etc., which can easily cause serious damage to the results. When the background is close to the skin color, the hand area cannot be accurately extracted. Therefore, some skin color-based gesture recognition technologies require a good distinction between the hand color and the background color. In addition, most gesture recognition systems not only have complex recognition algorithms, but also only Can support fewer gestures, scalability and practicality are not ideal

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