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

Author(s)	Kondaplli Lakshminarsimha Rao Omsrivathsa, Sarraju Haripriya, Dilipkumar
Country	India
Abstract	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.
Keywords	Mental Health Diagnosis,machine learning,Multimodal Emotion Detection
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 16, Issue 2, April-June 2025
Published On	2025-04-23
Cite This	Emotion Recognition Using Facial Expressions with deep learning : A Comprehensive Overview - Kondaplli Lakshminarsimha Rao Omsrivathsa, Sarraju Haripriya, Dilipkumar - IJSAT Volume 16, Issue 2, April-June 2025. DOI 10.71097/IJSAT.v16.i2.3902
DOI	https://doi.org/10.71097/IJSAT.v16.i2.3902
Short DOI	https://doi.org/g9gp4j

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