Your face may say the truth when you lie

M. De Marsico, Giordano Dionisi
{"title":"Your face may say the truth when you lie","authors":"M. De Marsico, Giordano Dionisi","doi":"10.1145/3531073.3534486","DOIUrl":null,"url":null,"abstract":"This work proposes the preliminary results of a system to recognize deception from facial micro-expressions. The adopted method starts from facial landmarks to analyze the micro-dynamics underlying the facial modifications. The procedure is repeated both while answering neutral questions (entailing no reason to lie) and when answering questions whose responses may cause harm or embarrassment, at least. The preliminary results invite us to continue the research of suitable features to tackle the problem of deception detection.","PeriodicalId":412533,"journal":{"name":"Proceedings of the 2022 International Conference on Advanced Visual Interfaces","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 International Conference on Advanced Visual Interfaces","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3531073.3534486","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This work proposes the preliminary results of a system to recognize deception from facial micro-expressions. The adopted method starts from facial landmarks to analyze the micro-dynamics underlying the facial modifications. The procedure is repeated both while answering neutral questions (entailing no reason to lie) and when answering questions whose responses may cause harm or embarrassment, at least. The preliminary results invite us to continue the research of suitable features to tackle the problem of deception detection.
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
当你说谎的时候,你的脸可能会说真话
这项工作提出了一个从面部微表情中识别欺骗的系统的初步结果。该方法从面部特征点入手,分析面部修饰背后的微动力学特征。这个过程在回答中性问题(没有理由撒谎)和回答可能会造成伤害或尴尬的问题时都要重复。这些初步的结果促使我们继续研究合适的特征来解决欺骗检测问题。
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
EcoGO: Combining eco-feedback and gamification to improve the sustainability of driving style DeBORAh: A Web-Based Cross-Device Orchestration Layer CoPDA 2022 - Cultures of Participation in the Digital Age: AI for Humans or Humans for AI? Exploring a Multi-Device Immersive Learning Environment End-User Programming and Math Teachers: an Initial Study
×
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