Facial expression recognition based on deep convolutional neural network

Authors

  • Liping Xu

Keywords:

Convolutional neural networks, computer vision, facial expression recognition

Abstract

The key step in determining whether a robot possesses intelligence is the ability to classify human expressions. In this article, a design of an artificial intelligence system capable of recognizing human expressions is proposed. Trained, classified, evaluated, and optimized three authoritative neural network structures, retrained them, and completed various classification tasks before further optimizing to form the best performing network. Finally, the model can use cameras to detect in real-time and return the user's facial expressions in real-time.

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Published

2024-08-22

How to Cite

Liping Xu. (2024). Facial expression recognition based on deep convolutional neural network. Journal of Artificial Intelligence and Information, 1. Retrieved from https://woodyinternational.com/index.php/jaii/article/view/49