Face Emotion Detection Using OpenCV
Year: 2025
Type: article
Abstract: Face Emotion Detection is a technology that leverages Artificial Intelligence (AI) and Computer Vision to analyze and classify human emotions based on facial expressions. This system utilizes image processing, feature extraction, and machine learning techniques to identify emotional states such as happiness, sadness, anger, surprise, fear, disgust, and neutrality By processing facial landmarks and dynamic changes in expressions, the technology enables accurate emotion recognition. he application of face emotion detection spans various fields, including healthcare, where it aids in early diagnosis of mental health conditions; education, for monitoring student engagement; retail, to gauge customer satisfaction; and security, for identifying unusual or suspicious behaviour. Key Words: Face Emotion Detection human emotion, machine learning, healthcare
DOI: 10.55041/ijsrem43024
Authors: Mrs.A. Mohanadevi, P.A. Kanish, P. Surya, K. Vikram
Language: English
Topic: Emotion and Mood Recognition
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4408885478