Abstract
With the development and application of virtual reality technology, the demand for gesture recognition is increasing. Efficient gesture recognition technology is indispensable in telecommuting and learning. In the research method of this paper, the advanced hand tracking technology is used to construct the human-computer interaction system in the virtual environment. This system uses MediaPipe framework and OpenCV to identify the key points of the hand by collecting real- time image data through monocular camera, and uses Kalman filter algorithm to smooth and optimize the coordinates of the key points of the hand. Through specific gestures in Unity, the experiment of interacting with the building blocks in the virtual environment is carried out to solve the problem of accuracy and stability when taking the building blocks. This method can be applied to multi-scenario (extensible) non-contact human-computer interaction.
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