{"title":"基于深度学习的面部情绪检测","authors":"Paras Jain, M. Murali, Amaan Ali","doi":"10.1109/I-SMAC52330.2021.9641053","DOIUrl":null,"url":null,"abstract":"Facial emotion recognition is an emerging research field in detecting Facial Expression. Deep learning algorithms have gained immense success in different areas of implementation such as classification, recommendation models, object recognition etc. The various types of modules that are brought together in this technique for the betterment of the working of the model is mainly contributed by the progress in the field of Deep Learning. The main focus of this work is to create a Neural Network model which is capable of classifying human emotions in a set of 7 different classes. Image data is used for testing, validation, and training of the model.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Face Emotion Detection Using Deep Learning\",\"authors\":\"Paras Jain, M. Murali, Amaan Ali\",\"doi\":\"10.1109/I-SMAC52330.2021.9641053\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Facial emotion recognition is an emerging research field in detecting Facial Expression. Deep learning algorithms have gained immense success in different areas of implementation such as classification, recommendation models, object recognition etc. The various types of modules that are brought together in this technique for the betterment of the working of the model is mainly contributed by the progress in the field of Deep Learning. The main focus of this work is to create a Neural Network model which is capable of classifying human emotions in a set of 7 different classes. Image data is used for testing, validation, and training of the model.\",\"PeriodicalId\":178783,\"journal\":{\"name\":\"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/I-SMAC52330.2021.9641053\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I-SMAC52330.2021.9641053","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Facial emotion recognition is an emerging research field in detecting Facial Expression. Deep learning algorithms have gained immense success in different areas of implementation such as classification, recommendation models, object recognition etc. The various types of modules that are brought together in this technique for the betterment of the working of the model is mainly contributed by the progress in the field of Deep Learning. The main focus of this work is to create a Neural Network model which is capable of classifying human emotions in a set of 7 different classes. Image data is used for testing, validation, and training of the model.