FACIAL EXPRESSION RECOGNITION
Authors:
N. Ashok, Gollapudi Sravani, Ala Devi Nandini, Avula Venkata Sireesha, Inakollu Sravani
Page No: 829-835
Abstract:
In numerous application domains, including speech recognition, image interpretation, and other fields, deep learning has produced ground-breaking breakthroughs. To identify human emotions based on facial expressions, we are employing deep learning techniques and a camera. This system can recognize people and recognize faces from up to three meters away. It can also determine a person's mood, including neutral, furious, shocked, disgusted, happy, sad, happy-sad, and any combination of those emotions. It is applicable to a wide range of services, including market research, psychology, usability studies, and consumer behavior research.
Description:
Haar Cascade Classifier, CNN, Deep Learning, Machine Learning
Volume & Issue
Volume-12,Issue-4
Keywords
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