{"title":"课堂人脸检测和情感识别的工具和库的比较","authors":"Alejandro Susillo Ridao, Yong Zheng","doi":"10.1145/3368308.3415427","DOIUrl":null,"url":null,"abstract":"Human factors, such as emotions, have been demonstrated as influential factors in educational teaching and learning. In order to exploit the relationship between students' in-class emotions and their learning performance, our preliminary work in this paper aims to try and compare different tools and libraries for in-class face detection and emotion recognition. We deliver our findings and insights about the popular libraries for these purposes.","PeriodicalId":374890,"journal":{"name":"Proceedings of the 21st Annual Conference on Information Technology Education","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A Comparison of Tools and Libraries for In-Class Face Detection and Emotion Recognition\",\"authors\":\"Alejandro Susillo Ridao, Yong Zheng\",\"doi\":\"10.1145/3368308.3415427\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Human factors, such as emotions, have been demonstrated as influential factors in educational teaching and learning. In order to exploit the relationship between students' in-class emotions and their learning performance, our preliminary work in this paper aims to try and compare different tools and libraries for in-class face detection and emotion recognition. We deliver our findings and insights about the popular libraries for these purposes.\",\"PeriodicalId\":374890,\"journal\":{\"name\":\"Proceedings of the 21st Annual Conference on Information Technology Education\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 21st Annual Conference on Information Technology Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3368308.3415427\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 21st Annual Conference on Information Technology Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3368308.3415427","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Comparison of Tools and Libraries for In-Class Face Detection and Emotion Recognition
Human factors, such as emotions, have been demonstrated as influential factors in educational teaching and learning. In order to exploit the relationship between students' in-class emotions and their learning performance, our preliminary work in this paper aims to try and compare different tools and libraries for in-class face detection and emotion recognition. We deliver our findings and insights about the popular libraries for these purposes.
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