HAND DATA RECOGNITION METHOD AND SYSTEM BASED ON GRAPH CONVOLUTIONAL NETWORK, AND STORAGE MEDIUM

摘要

A hand data recognition method and system based on a graph convolutional network, and a storage medium. The method comprises the following steps: obtaining a hand image in a preset state (S11); extracting a feature image of the hand image, a key point coordinate, and a two-dimensional thermal image (S12); combining the feature image with the two-dimensional thermal image to generate a feature vector (S13); generating a three-dimensional joint point position coordinate according to the feature vector and the key point coordinate (S14); and restoring a hand gesture according to the three-dimensional joint point position coordinate (S15). By means of the method, in the virtual interaction process, interaction personnel can accurately complete the virtual interaction process without wearing specific gloves, thus simplifying an application device for the virtual interaction process, and broadening application scenarios to a certain extent.