Deep Learning-Based Real-Time Sequential Facial Expression Analysis Using Geometric Features

This article likely presents a research paper on using deep learning for real-time facial expression analysis. The focus is on sequential analysis, implying the system analyzes expressions over time, and utilizes geometric features, suggesting the use of facial landmarks or similar data. The 'real-time' aspect is a key performance indicator, and the use of deep learning suggests a potentially high level of accuracy and robustness. The source, ArXiv, indicates this is a pre-print or research paper.