Face Emotion Detection Using OpenCV
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
Authors
- K. Vikram
- Prasath V. B. Surya
- P Kanish
- Mrs. A. Mohanadevi
Publication Details
- Journal
- INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
- Published
- 2025-03-27
- DOI
- https://doi.org/10.55041/ijsrem43024
- Primary Topic
- IoT-based Smart Home Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00