{"title":"面部表情识别方法的比较","authors":"Yingjie Chen, Han Wu, Tao Wang, Yizhou Wang","doi":"10.1109/WRC-SARA.2018.8584202","DOIUrl":null,"url":null,"abstract":"Emotional recognition based on facial expressions is a very active research topic in the field of human-computer interaction. There has been a great body of work with in-depth of study in this area. In this paper, we analyze and compare the state-of-the-art facial expression recognition methods, propose some evaluation dimensions and discuss possible directions for future research.","PeriodicalId":185881,"journal":{"name":"2018 WRC Symposium on Advanced Robotics and Automation (WRC SARA)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Comparison of Methods of Facial Expression Recognition\",\"authors\":\"Yingjie Chen, Han Wu, Tao Wang, Yizhou Wang\",\"doi\":\"10.1109/WRC-SARA.2018.8584202\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Emotional recognition based on facial expressions is a very active research topic in the field of human-computer interaction. There has been a great body of work with in-depth of study in this area. In this paper, we analyze and compare the state-of-the-art facial expression recognition methods, propose some evaluation dimensions and discuss possible directions for future research.\",\"PeriodicalId\":185881,\"journal\":{\"name\":\"2018 WRC Symposium on Advanced Robotics and Automation (WRC SARA)\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 WRC Symposium on Advanced Robotics and Automation (WRC SARA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WRC-SARA.2018.8584202\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 WRC Symposium on Advanced Robotics and Automation (WRC SARA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WRC-SARA.2018.8584202","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Comparison of Methods of Facial Expression Recognition
Emotional recognition based on facial expressions is a very active research topic in the field of human-computer interaction. There has been a great body of work with in-depth of study in this area. In this paper, we analyze and compare the state-of-the-art facial expression recognition methods, propose some evaluation dimensions and discuss possible directions for future research.