中图分类号：TP183；TP391.41
文献标识码：A
DOI：10.16157/j.issn.0258-7998.211516
中文引用格式：蔡靖，杜佳辰，王庆，等. 基于VGG16网络的人脸情绪识别[J].电子技术应用，2022，48(1)：67-70，75.
英文引用格式：Cai Jing，Du Jiachen，Wang Qing，et al. Facial emotion recognition based on VGG16 network[J]. Application of Electronic Technique，2022，48(1)：67-70，75.

Facial emotion recognition based on VGG16 network

Abstract：In recent years, how to recognize and analyze people′s facial expressions through artificial intelligence has become a research hotspot. Using artificial intelligence can quickly analyze people′s facial emotions, and further research is carried out on this basis. In deep learning, the traditional convolutional neural network can not extract facial expression features sufficiently, and the amount of computer parameters is large, which leads to low classification accuracy. Therefore, a facial expression recognition algorithm based on VGG16 neural network is proposed. Compared with the model experiments of InceptionV3, InceptionResNetV2 and ResNet50, the results show that the recognition accuracy of VGG16 neural network on FER2013PLUS test data set is 79%, which is higher than that of traditional convolution neural network.

Key words :deep learning；convolutional neural network；emotion recognition；VGG16