{"title":"基于第一初始动量的情感模式识别算法","authors":"R. Romero-Herrera, F. Funes, J. Y. Montiel-Pérez","doi":"10.1109/MICAI.2007.21","DOIUrl":null,"url":null,"abstract":"In a real world, the emotions play a significant role in rational actions in human communication. In recent years, there has been growing interest in the study of emotions to improve the capabilities of current human-computer interaction. In this paper, we present an effective pattern recognition approach to improve the extraction features in the performance of emotion recognition from video sequences by combining the Nitzberg algorithm and statistics analysis by means of use of the first and second momentum.","PeriodicalId":296192,"journal":{"name":"2007 Sixth Mexican International Conference on Artificial Intelligence, Special Session (MICAI)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Algorithm for Affective Pattern Recognition by Means of Use of First Initial Momentum\",\"authors\":\"R. Romero-Herrera, F. Funes, J. Y. Montiel-Pérez\",\"doi\":\"10.1109/MICAI.2007.21\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In a real world, the emotions play a significant role in rational actions in human communication. In recent years, there has been growing interest in the study of emotions to improve the capabilities of current human-computer interaction. In this paper, we present an effective pattern recognition approach to improve the extraction features in the performance of emotion recognition from video sequences by combining the Nitzberg algorithm and statistics analysis by means of use of the first and second momentum.\",\"PeriodicalId\":296192,\"journal\":{\"name\":\"2007 Sixth Mexican International Conference on Artificial Intelligence, Special Session (MICAI)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 Sixth Mexican International Conference on Artificial Intelligence, Special Session (MICAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MICAI.2007.21\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 Sixth Mexican International Conference on Artificial Intelligence, Special Session (MICAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MICAI.2007.21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Algorithm for Affective Pattern Recognition by Means of Use of First Initial Momentum
In a real world, the emotions play a significant role in rational actions in human communication. In recent years, there has been growing interest in the study of emotions to improve the capabilities of current human-computer interaction. In this paper, we present an effective pattern recognition approach to improve the extraction features in the performance of emotion recognition from video sequences by combining the Nitzberg algorithm and statistics analysis by means of use of the first and second momentum.
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