Pixels to Feelings: Emotion Recognition using AI

Implement and evaluate CNN-based emotion recognition using the FER-2013 dataset to classify facial emotions.

It improves upon traditional machine learning techniques which had limited accuracy in emotion detection.

Safety, health, human-machine interfaces, surveillance, healthcare, and customer experience.

Emotions are a part of human nature. Emotions help us to recognize and analyze the behaviour of a person.[https://www.sciencedirect.com/science/article/pii/S1877050917305264]. Emotion recognition in deep learning is an interesting and rapidly growing field that is applied in safety, health and human machine interfaces. This research uses CNNs (Convolutional Neural Networks) to classify facial emotions from image datasets.This paper provides an understanding of AI-based FER(Facial Emotion Recognition)[] methodologies, including datasets, feature extraction techniques and algorithms.[https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9631205]. For Example: