M. S. Asha

A Comparative Evaluation of CNN and Deep Learning Models for Facial Emotion Recogni-tion in Affective Healthcare

A comparative evaluation of machine learning and deep learning models for the prediction of face emotion using the CK+ dataset proposed by Cohn-Kanade shows high accuracy achieved by the CNN model, while the SVM classifier achieved a testing accuracy of 99%.