CNN Model Design of Gesture Recognition Based on Tensorflow Framework

The paper uses Google newest open-source Tensorflow framework to build the model of gesture recognition, introduces the platform characteristics of Tensorflow, and puts forward a convolution network model based on Tensorflow framework. The experiment is designed with the combination of recognized dataset and self-collected dataset. The experimental results show that the model has high recognition accuracy, high computational efficiency, strong robustness, and can easily adjust the network structure, find the optimal model quickly, and accomplish the task of gesture recognition better.