Emotion Recognition Based Emoji Retrieval Using Deep Learning

S. Srivastava, Prateek Gupta, Pranjal Kumar
{"title":"Emotion Recognition Based Emoji Retrieval Using Deep Learning","authors":"S. Srivastava, Prateek Gupta, Pranjal Kumar","doi":"10.1109/ICOEI51242.2021.9452832","DOIUrl":null,"url":null,"abstract":"Facial expression is a verbal act of speech that is expressed on the face in terms of our emotions. Emotional recognition to identify facial expression plays crucial role in various applications like psychology, linguistics etc. Playing an important role in the fields of artificial intelligence and robotics, the automatic recognition of facial expression is therefore a need for generation. Emotion recognition plays an important role in the area of human machine communication. Emotional recognition is usually done in four stages which include pre-processing, facial recognition, feature extraction, and classification. In this paper, we have used deep learning to identify the seven main human emotions: anger, disgust, fear, happiness, sadness, surprise and neutrality.","PeriodicalId":420826,"journal":{"name":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOEI51242.2021.9452832","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

Facial expression is a verbal act of speech that is expressed on the face in terms of our emotions. Emotional recognition to identify facial expression plays crucial role in various applications like psychology, linguistics etc. Playing an important role in the fields of artificial intelligence and robotics, the automatic recognition of facial expression is therefore a need for generation. Emotion recognition plays an important role in the area of human machine communication. Emotional recognition is usually done in four stages which include pre-processing, facial recognition, feature extraction, and classification. In this paper, we have used deep learning to identify the seven main human emotions: anger, disgust, fear, happiness, sadness, surprise and neutrality.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于深度学习的表情符号检索
面部表情是一种语言行为,它是根据我们的情绪在脸上表达出来的。识别面部表情的情绪识别在心理学、语言学等诸多应用中起着至关重要的作用。面部表情的自动识别在人工智能和机器人领域发挥着重要的作用,因此需要一代。情感识别在人机通信领域占有重要地位。情绪识别通常分为预处理、面部识别、特征提取和分类四个阶段。在本文中,我们使用深度学习来识别七种主要的人类情绪:愤怒、厌恶、恐惧、快乐、悲伤、惊讶和中立。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Comparative Analysis of Various Transfer Learning Approaches Skin Cancer Detection Deep Learning Methods for Object Detection in Autonomous Vehicles Load Manage Optimization through Grid and PV Energy Integration System Design of Brain Controlled Robotic Car using Raspberry Pi Feasibility Study of Economic Forecasting Model based on Data Mining
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1