Comparative Performance Analysis of a Custom CNN, VGG16, and the Proposed Emotion Net Model for Facial Emotion Recognition
Facial emotion recognition (FER) plays a pivotal role in affective computing, healthcare monitoring, adaptive education, surveillance, and human computer interaction. This study benchmarks three deep learning solutions for seven class FER on the Extended Cohn Kanade (CK+) corpus: a compact custom convolutional neural n...