Katsutoshi Masai, Yuta Sugiura, Masa Ogata, Katsuhiro Suzuki, Fumihiko Nakamura, S. Shimamura, K. Kunze, M. Inami, M. Sugimoto
{"title":"情感穿戴:朝向识别面部表情","authors":"Katsutoshi Masai, Yuta Sugiura, Masa Ogata, Katsuhiro Suzuki, Fumihiko Nakamura, S. Shimamura, K. Kunze, M. Inami, M. Sugimoto","doi":"10.1145/2787626.2792632","DOIUrl":null,"url":null,"abstract":"Facial expression is a powerful way for us to exchange information nonverbally. They can give us insights into how people feel and think. There are a number of works related to facial expression detection in computer vision. However, most works focus on camera-based systems installed in the environment. With this method, it is difficult to track user's face if user moves constantly. Moreover, user's facial expression can be recognized at only a limited place.","PeriodicalId":269034,"journal":{"name":"ACM SIGGRAPH 2015 Posters","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2015-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"AffectiveWear: toward recognizing facial expression\",\"authors\":\"Katsutoshi Masai, Yuta Sugiura, Masa Ogata, Katsuhiro Suzuki, Fumihiko Nakamura, S. Shimamura, K. Kunze, M. Inami, M. Sugimoto\",\"doi\":\"10.1145/2787626.2792632\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Facial expression is a powerful way for us to exchange information nonverbally. They can give us insights into how people feel and think. There are a number of works related to facial expression detection in computer vision. However, most works focus on camera-based systems installed in the environment. With this method, it is difficult to track user's face if user moves constantly. Moreover, user's facial expression can be recognized at only a limited place.\",\"PeriodicalId\":269034,\"journal\":{\"name\":\"ACM SIGGRAPH 2015 Posters\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM SIGGRAPH 2015 Posters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2787626.2792632\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGGRAPH 2015 Posters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2787626.2792632","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Facial expression is a powerful way for us to exchange information nonverbally. They can give us insights into how people feel and think. There are a number of works related to facial expression detection in computer vision. However, most works focus on camera-based systems installed in the environment. With this method, it is difficult to track user's face if user moves constantly. Moreover, user's facial expression can be recognized at only a limited place.
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