Gesture Recognition Technology Based on Depth Convolutional Neural Network
Haoyun Wei · 2023
In recent years, with the development of computer hardware capabilities and machine learning and other related disciplines, gesture recognition based on computer vision has become a hot topic and is widely used in virtual reality, remote communication, driving safety, medical surgery and other fields. In order to meet the needs of real-time and accuracy of gesture recognition, a gesture recognition method based on deep convolutional neural network is designed in this paper, which automatically carries out feature extraction, classification and iterative training on gesture samples. The experimental results show that the recognition accuracy of the trained model on the test set can reach 98.60% and has strong robustness.