Emotion Recognition System Using Facial Expression Analysis

Understanding human emotions is critical for improving human-computer interaction. This research project focuses on building an emotion recognition system using facial expression analysis.

Problem Statement

Machines lack the ability to interpret human emotions accurately, limiting interaction quality.

Research Objectives

The objective is to classify human emotions based on facial features captured through images or video.

Methodology

Facial images are preprocessed and analyzed using deep learning models trained on emotion-labeled datasets.

Technologies Used

Computer vision libraries, deep learning frameworks, and image processing tools are employed.

Expected Outcomes

The system improves emotion-aware applications in healthcare, education, and customer interaction.

Conclusion

This project highlights the role of AI in enabling emotionally intelligent systems.