Research of Gesture Recognition System Based on OpenCV
Xiangfang Mao, Yanhua Qiao, Jianna Li, Huijuan Ma · 2024
Currently, the primary modes of human-computer interaction still revolve around traditional devices like mice and keyboards. Technologies such as face recognition, emotion recognition, voice recognition, and gesture recognition have gained increasing attention, making the ways of human-computer interaction more flexible and vivid. This paper mainly focuses on gesture recognition systems in natural scenarios. OpenCV provides various image processing algorithms that can capture image and video information from digital cameras and convert them into binary image information recognized by computers through grayscale image processing. Then, the binary images are filtered and segmented. After extracting the shape of the hand, the contour features of the hand are analyzed. In a normal natural environment captured by a camera, corresponding commands are extracted based on the position and shape of the gestures, enabling simple human-computer interaction.