Emotion Recognition Using Facial Expressions with deep learning : A Comprehensive Overview

Emotion recognition plays a pivotal role in enhancing human-computer interaction (HCI), mental health diagnosis, surveillance, and entertainment applications. Among the various modalities for detecting emotional states, facial expressions remain one of the most natural and widely studied approaches. This paper presents an overview of the methodologies, challenges, and advancements in emotion recognition through facial expression analysis. The integration of computer vision, machine learning, and deep learning technologies has significantly improved recognition accuracy, although challenges related to variation in expression, occlusion, and cultural differences remain.