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FER-2013 Dataset for Emotion Prediction by chaymae baya is a document available to read on EtoBox.

What is FER-2013 Dataset for Emotion Prediction about?

This conference paper discusses the development of a facial emotion recognition system using the FER-2013 dataset and a Convolutional Neural Network (CNN) algorithm implemented on a Raspberry Pi. The system aims to classify seven micro-expressions in real-time, achieving an accuracy of 65.97%. The research highlights the importance of facial expressions in human communication and the potential applications of this technology in areas such as security and customer satisfaction assessment.

Author

chaymae baya

Language

EN