Gesture recognition method for placement task in VR environment based on improved xgboost algorithm

with the rapid development of information technology, the application of neural network algorithm in the field of intelligent devices can effectively enhance the human-computer interaction experience. In order to improve the effect of VR intelligent 3D gesture recognition, VR 3D gesture recognition based on random forest algorithm is proposed. The algorithm is optimized for the collection of ergonomic wrist joint information, and the optimized data of feature vector reconstruction is obtained; An improved xgboost algorithm is proposed to optimize the reconstructed data and improve the gesture recognition parameters. The experimental results show that the random forest algorithm can improve the accuracy of gesture recognition, and the improved xgboost algorithm can improve the accuracy and accuracy of gesture as a whole. The research content has important reference significance for improving the interactivity of VR equipment.