在项目会议期间进行实时情绪检测,以评估项目的成功可能性

Zeenat AIKassim
{"title":"在项目会议期间进行实时情绪检测,以评估项目的成功可能性","authors":"Zeenat AIKassim","doi":"10.1109/CICN56167.2022.10008311","DOIUrl":null,"url":null,"abstract":"This paper describes a method done to collect emotions from people's faces during project meetings in one of the companies. The work includes the built algorithm and the working of the system, including the live feed display of the information, basically the emotions detected. The work describes the handling of a large number of images captured consecutively throughout the working hours. The algorithm was built using Support Vector Machine and Image processing. Other tools were used for displaying the live results. This research can result in valuable conclusions for companies to help in estimation of the success rate of projects, based on the emotions detected during project meetings.","PeriodicalId":287589,"journal":{"name":"2022 14th International Conference on Computational Intelligence and Communication Networks (CICN)","volume":"750 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Live Feed Emotion Detection During Project Meetings To Estimate Possible Success of Projects\",\"authors\":\"Zeenat AIKassim\",\"doi\":\"10.1109/CICN56167.2022.10008311\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a method done to collect emotions from people's faces during project meetings in one of the companies. The work includes the built algorithm and the working of the system, including the live feed display of the information, basically the emotions detected. The work describes the handling of a large number of images captured consecutively throughout the working hours. The algorithm was built using Support Vector Machine and Image processing. Other tools were used for displaying the live results. This research can result in valuable conclusions for companies to help in estimation of the success rate of projects, based on the emotions detected during project meetings.\",\"PeriodicalId\":287589,\"journal\":{\"name\":\"2022 14th International Conference on Computational Intelligence and Communication Networks (CICN)\",\"volume\":\"750 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 14th International Conference on Computational Intelligence and Communication Networks (CICN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CICN56167.2022.10008311\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 14th International Conference on Computational Intelligence and Communication Networks (CICN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICN56167.2022.10008311","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文描述了一种在某公司的项目会议期间从人们脸上收集情绪的方法。工作包括算法的构建和系统的工作,包括信息的实时动态显示,基本是情绪检测。该工作描述了在整个工作时间内连续捕获的大量图像的处理。该算法采用支持向量机和图像处理技术。其他工具用于显示实时结果。这项研究可以得出有价值的结论,帮助公司评估项目的成功率,基于项目会议期间检测到的情绪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Live Feed Emotion Detection During Project Meetings To Estimate Possible Success of Projects
This paper describes a method done to collect emotions from people's faces during project meetings in one of the companies. The work includes the built algorithm and the working of the system, including the live feed display of the information, basically the emotions detected. The work describes the handling of a large number of images captured consecutively throughout the working hours. The algorithm was built using Support Vector Machine and Image processing. Other tools were used for displaying the live results. This research can result in valuable conclusions for companies to help in estimation of the success rate of projects, based on the emotions detected during project meetings.
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:481959085
Book学术官方微信