Author:
Pandey Amit, ,Gupta Aman,Shyam Radhey, ,
Abstract
Facial emotional expression is a part of face recognition, it has always been an easy task for humans, but achieving the same with a computer algorithm is challenging. With the recent and continuous advancements in computer vision and machine learning, it is possible to detect emotions in images, videos, etc. A face expression recognition method based on the Deep Neural Networks especially the convolutional neural network (CNN) and an image edge detection is proposed. The edge of each layer of the image is retrieved in the convolution process after the facial expression image is normalized. To maintain the texture picture's edge structure information, the retrieved edge information is placed on each feature image. In this research, several datasets are investigated and explored for training expression recognition models. The purpose of this paper is to make a study on face emotion detection and recognition via Machine learning algorithms and deep learning. This research work will present deeper insights into Face emotion detection and Recognition. It will also highlight the variables that have an impact on its efficacy.
Publisher
International Journal of Engineering Applied Sciences and Technology
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Automatic Music Player Based on the Facial Expression;2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS);2023-10-18
2. Facial Emotion Recognition by Combining Deep Learning and Averaged Weight of Face-Regions;2023 15th International Conference on Knowledge and Systems Engineering (KSE);2023-10-18
3. An Overview of Bio-Inspired and Deep Learning Model for Extraction of Land Use Pattern;2023 6th International Conference on Information Systems and Computer Networks (ISCON);2023-03-03