Neural network method through facial expression recognition

Kavita Kushwah, Vikrant Sharma, Upendra Singh
{"title":"Neural network method through facial expression recognition","authors":"Kavita Kushwah, Vikrant Sharma, Upendra Singh","doi":"10.1109/ICECA.2017.8212721","DOIUrl":null,"url":null,"abstract":"Humans are capable to produce thousands of facial actions during communication that vary in intensity, complexity and meaning. The purpose of this paper is to recognize the human emotions in terms of happy, sad, surprise, neutral and disgust. Its aim is to recognize the facial expression stored in a database. It uses a set of single static image with different expression labels as the training database. The purposed system depends upon the human face, as we know face also reflects the human brain activities or emotions. In this paper, the neural network has been used for better results. In the end of the paper comparisons of existing Human Emotion Recognition System has been made with new one.","PeriodicalId":222768,"journal":{"name":"2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECA.2017.8212721","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

Humans are capable to produce thousands of facial actions during communication that vary in intensity, complexity and meaning. The purpose of this paper is to recognize the human emotions in terms of happy, sad, surprise, neutral and disgust. Its aim is to recognize the facial expression stored in a database. It uses a set of single static image with different expression labels as the training database. The purposed system depends upon the human face, as we know face also reflects the human brain activities or emotions. In this paper, the neural network has been used for better results. In the end of the paper comparisons of existing Human Emotion Recognition System has been made with new one.
神经网络方法通过面部表情识别
人类能够在交流过程中做出数千种不同强度、复杂性和意义的面部动作。本文的目的是识别人类的情绪,包括快乐、悲伤、惊讶、中性和厌恶。其目的是识别存储在数据库中的面部表情。它使用一组具有不同表情标签的单个静态图像作为训练数据库。目的系统依赖于人脸,我们知道人脸也反映了人类大脑的活动或情绪。在本文中,神经网络已被用于较好的结果。最后,对现有的人类情感识别系统和新的人类情感识别系统进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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:481959085
Book学术官方微信