JOURNAL ARTICLE

Human Face Emotion Recognition Using Deep Learning

Abstract

Human Emotion detection from image is one of the most powerful and challenging research task in social communication. Deep learning based emotion detection gives performance better than traditional methods with image processing. This system is an artificial intelligence systemcapableofemotion detectionthrough facial expressions. It discusses about the procedure of emotion detection, which includes basically three main steps: face detection, features extraction, and emotion classification. This model proposed a convolutionalneural networks(CNN)and uses 3D face models based on deep learning architecture for emotion detection fromimages. Applicationsof face recognition detection extend across diverse fields and addressing challenges related to robustness, privacy, and ethical considerations is essential for the widespread and responsible adoption of face recognition technologyinthesefields.

Keywords:
Artificial intelligence Psychology Face (sociological concept) Computer science Facial recognition system Deep learning Cognitive psychology Pattern recognition (psychology) Speech recognition Linguistics Philosophy

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Topics

Face and Expression Recognition
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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