文章基本信息

标题：A Facial Emotion Recognizer Based on Convolutional Neural Networks using Transfer learnin
本地全文：下载
作者：J.V.ANCHITAALAGAMMAI ; K.SANKAR GUHAN ; C.H.SIVAPRAKASH 等
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2021
卷号：9
期号：7
页码：8609-8614
DOI：10.15680/IJIRCCE.2021.0907132
语种：English
出版社：S&S Publications
摘要：Facial Emotion Recognition (FER), one of the most recent popular researchareas in the field of Computer vision, it is the task of detecting emotion by analyzing facial expressions and this task plays a critical role as it tells the clearest information regarding the emotions of people. The efficiency was found by experiments conducted on a widely-used dataset. According to the experimental results, the accuracy of Our Project was calculated to be as high as 87.68%. The experimental results confirmed that this neural network architecturemodel is fast enough to be integrated into real world FER applications as it is able to detect emotions with good accuracy.
关键词：Artificial intelligence;Computer Vision;Artificial Neural Networks;Backpropagation;MultiLayer Neural Network;Neural Networks;Supervised Learning;Convolutional Neural Network