EmotiTEA:基于CNN面部情绪识别的视觉监控模块

Italo Oliveira, Jacqueline Lopes Silva, Facundo Palomino Quispe, Ana Beatriz Alvarez
{"title":"EmotiTEA:基于CNN面部情绪识别的视觉监控模块","authors":"Italo Oliveira, Jacqueline Lopes Silva, Facundo Palomino Quispe, Ana Beatriz Alvarez","doi":"10.1109/EIRCON52903.2021.9613399","DOIUrl":null,"url":null,"abstract":"The recognition of human facial emotions is a highly complex task and an open problem. This paper presents the EmotiTEA module that performs the recognition of facial emotions to be used in monitoring in real time. Two simple custom Convolutional Neural Networks (CNN) are studied, which were included in the module for specific tests. The results obtained under the test conditions indicate a satisfactory performance with the implemented CNNs and a promising behavior of the EmotiTEA module for the real time monitoring task.","PeriodicalId":403519,"journal":{"name":"2021 IEEE Engineering International Research Conference (EIRCON)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"EmotiTEA: A visual monitoring module based on the recognition of facial emotions with CNN\",\"authors\":\"Italo Oliveira, Jacqueline Lopes Silva, Facundo Palomino Quispe, Ana Beatriz Alvarez\",\"doi\":\"10.1109/EIRCON52903.2021.9613399\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The recognition of human facial emotions is a highly complex task and an open problem. This paper presents the EmotiTEA module that performs the recognition of facial emotions to be used in monitoring in real time. Two simple custom Convolutional Neural Networks (CNN) are studied, which were included in the module for specific tests. The results obtained under the test conditions indicate a satisfactory performance with the implemented CNNs and a promising behavior of the EmotiTEA module for the real time monitoring task.\",\"PeriodicalId\":403519,\"journal\":{\"name\":\"2021 IEEE Engineering International Research Conference (EIRCON)\",\"volume\":\"76 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE Engineering International Research Conference (EIRCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EIRCON52903.2021.9613399\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Engineering International Research Conference (EIRCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EIRCON52903.2021.9613399","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

人脸情绪的识别是一项非常复杂的任务,也是一个开放性的问题。本文介绍了EmotiTEA模块,该模块对面部表情进行识别,用于实时监控。研究了两个简单的自定义卷积神经网络(CNN),它们被包含在模块中进行特定的测试。在测试条件下获得的结果表明,所实现的cnn具有令人满意的性能,EmotiTEA模块在实时监控任务中具有良好的表现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EmotiTEA: A visual monitoring module based on the recognition of facial emotions with CNN
The recognition of human facial emotions is a highly complex task and an open problem. This paper presents the EmotiTEA module that performs the recognition of facial emotions to be used in monitoring in real time. Two simple custom Convolutional Neural Networks (CNN) are studied, which were included in the module for specific tests. The results obtained under the test conditions indicate a satisfactory performance with the implemented CNNs and a promising behavior of the EmotiTEA module for the real time monitoring task.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信