Year: 2025
Type: article
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.
Authors: Kondaplli Lakshminarsimha Rao Omsrivathsa -, Sarraju Haripriya -, Dilipkumar -
Language: English
Topic: Emotion and Mood Recognition
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4409802579