Abstract: Facial expression recognition is one of the very important ... results than the models which take the entire facial image. We have also compared our performance with other benchmark CNN ...

We also extracted the HOG features and we input the raw image ... paper: [Facial Expression Recognition using Convolutional Neural Networks: State of the Art, Pramerdorfer & al. 2016] It's interesting ...

The system is trained using a Convolutional Neural Network (CNN), a class of deep learning algorithms, which are particularly useful for image processing tasks. Facial Expression ... network (CNN) ...

Abstract: Owing to the unpredictable nature of human facial ... facial expressions. This study designs a new Bioinspired Image Processing Enabled Facial Emotion Recognition using an Equilibrium ...

2023) utilize a transfer learning approach where CNN and residual neural network for facial emotion recognition. Features are extracted using the residual network which is later used with the CNN ...

Therefore, this article proposes a novel feature fusion dual-channel expression recognition algorithm based on machine learning theory and philosophical thinking. Specifically, the feature extracted ...

Then, using an algorithm based on ... is designed and trained for hand gesture recognition. The experimental results show that the proposed cwCST-CNN method achieves a classification accuracy ...