{"title":"Unbiased Mimic Activity Evaluation: F2F Emotion Studio Software","authors":"M. Baev, A. Gusev, A. Kremlev","doi":"10.1109/aciiw52867.2021.9666319","DOIUrl":null,"url":null,"abstract":"We developed a research software which allows users to accurately detect FACS AUs and basic emotion expressions. This software was developed as a comprehensive FACS based measurement tool. Due to their inherent limitations we don't use any kind of neural network facial expression classification. We created five author's computer vision procedures and a set of logical rules to detect 18 AUs and seven basic emotion expressions. The software could evaluate both macro- and microexpressions. As evaluation results we provided three examples of analyzing data taken from the SAMM and CASME II databases using F2F Emotion Studio software.","PeriodicalId":105376,"journal":{"name":"2021 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/aciiw52867.2021.9666319","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
We developed a research software which allows users to accurately detect FACS AUs and basic emotion expressions. This software was developed as a comprehensive FACS based measurement tool. Due to their inherent limitations we don't use any kind of neural network facial expression classification. We created five author's computer vision procedures and a set of logical rules to detect 18 AUs and seven basic emotion expressions. The software could evaluate both macro- and microexpressions. As evaluation results we provided three examples of analyzing data taken from the SAMM and CASME II databases using F2F Emotion Studio software.
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