In this paper, we present an approach based on Convolutional Neural Networks (CNN) for facial expression recognition. The input into our system is an image; then, we use CNN to predict …

Sep 8, 2021 · A facial expression recognition (FER) algorithm is built on the advanced convolutional neural network (CNN) to improve the current FER algorithms’ recognition rate. …

May 25, 2023 · In this paper, we provide a simple yet efficient way for recognizing facial expressions that combines a CNN with certain image pre-processing techniques. We …

This paper presents the facial expression recognition (FER) using pre-processing of images using Gaussian, and Laplacian of Gaussian (LoG) on different window sizes (3x3, 5x5, 7x7, 9x9). …

Facial expressions exhibit patterns and characteristics that can be identified and analyzed by image processing and machine learning methods. These methods provide a basis for the …

We implemented facial expression recognition in real time via webcam. We also visualized the activations of hidden layers in convolutional neural network. MATLAB software is used for …

Aug 1, 2020 · Using the crawler to crawl the network image data and using the Viola-Jones algorithm to detect the original data set, after screening, the face expression database is finally …

Abstract: This paper proposes an improved CNN model with the main process of face image preprocessing, face image feature extraction, input test sample training, acquisition of test …

Apr 30, 2025 · Image normalisation and face recognition are steps in the pre-processing stage. The ideal features are chosen using a black hole optimisation approach in the proposed …

Jun 23, 2024 · Using machine learning, FER can help humans distinguish emotions through facial expressions by analyzing images or video data to obtain information about emotional states 7, …