Lin Zhang, Steffen Walter, Xueyao Ma, P. Werner, A. Al-Hamadi, H. Traue, Sascha Gruss
{"title":"“BioVid Emo DB”:一个多模式的情感分析数据库，通过主观评分验证","authors":"Lin Zhang, Steffen Walter, Xueyao Ma, P. Werner, A. Al-Hamadi, H. Traue, Sascha Gruss","doi":"10.1109/SSCI.2016.7849931","DOIUrl":null,"url":null,"abstract":"The precondition of productive data mining is having an efficient database to work on. The BioVid Emo DB is a multimodal database recorded for the purpose of analyzing human affective states and data mining related to emotion. Psychophysiological signals such as Skin Conductance Level, Electrocardiogram, Trapezius Electromyogram and also 4 video signals were recorded. 5 discrete emotions (amusement, sadness, anger, disgust and fear) were elicited by 15 standardized film clips. 94 participants watched them, rated them in terms of the experienced emotional level and selected the film clips that evoked the strongest emotion. A preliminary analysis of the subjective ratings made during the experiment is presented. The dataset is available for other researchers.","PeriodicalId":120288,"journal":{"name":"2016 IEEE Symposium Series on Computational Intelligence (SSCI)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"36","resultStr":"{\"title\":\"“BioVid Emo DB”: A multimodal database for emotion analyses validated by subjective ratings\",\"authors\":\"Lin Zhang, Steffen Walter, Xueyao Ma, P. Werner, A. Al-Hamadi, H. Traue, Sascha Gruss\",\"doi\":\"10.1109/SSCI.2016.7849931\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The precondition of productive data mining is having an efficient database to work on. The BioVid Emo DB is a multimodal database recorded for the purpose of analyzing human affective states and data mining related to emotion. Psychophysiological signals such as Skin Conductance Level, Electrocardiogram, Trapezius Electromyogram and also 4 video signals were recorded. 5 discrete emotions (amusement, sadness, anger, disgust and fear) were elicited by 15 standardized film clips. 94 participants watched them, rated them in terms of the experienced emotional level and selected the film clips that evoked the strongest emotion. A preliminary analysis of the subjective ratings made during the experiment is presented. The dataset is available for other researchers.\",\"PeriodicalId\":120288,\"journal\":{\"name\":\"2016 IEEE Symposium Series on Computational Intelligence (SSCI)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"36\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Symposium Series on Computational Intelligence (SSCI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSCI.2016.7849931\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Symposium Series on Computational Intelligence (SSCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSCI.2016.7849931","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
“BioVid Emo DB”: A multimodal database for emotion analyses validated by subjective ratings
The precondition of productive data mining is having an efficient database to work on. The BioVid Emo DB is a multimodal database recorded for the purpose of analyzing human affective states and data mining related to emotion. Psychophysiological signals such as Skin Conductance Level, Electrocardiogram, Trapezius Electromyogram and also 4 video signals were recorded. 5 discrete emotions (amusement, sadness, anger, disgust and fear) were elicited by 15 standardized film clips. 94 participants watched them, rated them in terms of the experienced emotional level and selected the film clips that evoked the strongest emotion. A preliminary analysis of the subjective ratings made during the experiment is presented. The dataset is available for other researchers.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
