Title : HERO: HUMAN EMOTIONS RECOGNITION FOR REALIZING INTELLIGENT INTERNET OF THINGS

Author : AMBEER KEERTHANA, MENCHU PRANUSHA, K VENU KUMAR, K ANITEJ REDDY, Dr. S. DHANALAKSHMI

Abstract :

Now-a-days with the continued development of artificial intelligence facial emotion recognition has become more popular. The emotion recognition plays a major role in interaction technology. In interaction technology the verbal components only play a one third of communication and the non-verbal components plays a two third of communication. A facial emotion recognition (FER) method is used for detecting facial expressions. Facial expression plays a major role in expressing what a person feels and it expresses inner feeling and his or her mental situation or human perspective. This paper aims to identify basic human emotions with the combination of gender classification and age estimation. The facial emotions such as happy, sad, angry, fear, surprised, neutral emotions are considered as basic emotions. Here proposes a real time facial emotion recognition system based on You Look Only Once (YOLO) version 2 architecture and a squeezenet architecture. The yolo architecture is a real time

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