Almost all CNN models known to achieve high accuracy on facial expression recognition problem are influenced by these architectures. This work tries to overcome this limitation by using FER-2013 dataset as starting point to design new CNN models. In this work, the effect of CNN parameters namely...
The exploration of sentiments through facial expressions is a captivating domain with applications across security, healthcare, and human–computer in
This paper is focusing on the Facial ExpressionRecognition (FER) problem from a single face image. Inspired by the advances Convolutional Neural Networks (CNNs) haveachieved in image recognition and classification, we propose a CNN-based approach to address this problem. Our model consists of sever...
Among them, facial expression recognition has become a research hotspot in the field of affective computing. In this paper, facial expression recognition is studied based on Valence-Arousal dimensional emotion model. A facial expression valence dimension prediction system based on convo-lution neural ...
Octavina K, Putra Kusuma G (2024) Real-time facial expression recognition using convolutional neural network on mobile device. Int J Comput Digit Syst 15:1–9 Google Scholar Xu J, Li Y, Yang G, He L, Luo K (2024) Multiscale facial expression recognition based on dynamic global and sta...
Musa, The facial emotion recognition (FER-2013) dataset for prediction system of micro-expressions face using the convolutional neural network (CNN) algorithm-based Raspberry Pi, in 2019 5th International Conference on Informatics and Computing (ICIC). IEEE (2019), pp. 1–9. https://doi.org/...
The Research of Face Expression Recognition based on CNN using Tensorflow Deep learning has been developing rapidly in the field of image process and has achieved very good results in the field of image recognition. Before the rise of deep learning, the SVM(Support Vector Machine) algorithm was ...
In the facial expression recognition task, a good-performing convolutional neural network (CNN) model trained on one dataset (source dataset) usually performs poorly on another dataset (target dataset). This is because the feature distri... X Wang,X Wang,Y Ni - 《Computational Intelligence & Ne...
1. 介绍 论文:(2020)Neural networks for facial age estimation: a survey on recent advances. 地址: http://link.springer.com/article/10.1007/s10462-019-09765-w
In this research paper, we give emphasis on the face recognition system (FRS) and the evolution of the various approaches adopted for FRS by making use of the CNN model. From recent study, we can conclude that recognized face recognition systems (FRS) were easily attacked and tricked by usin...