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