{"title":"当你说谎的时候,你的脸可能会说真话","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":"{\"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}","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}
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.