{"title":"人类情感-性别-年龄识别的深度学习方法","authors":"S. Suraj, V. M. Sapna","doi":"10.1109/C2I456876.2022.10051197","DOIUrl":null,"url":null,"abstract":"Deep Learning has found massive applications in the area of Computer vision. In everyday activities, each individual connect with the other via facial expressions too along with basic communication languages. Emotions allow a person to convey his or her inner state of mind. In this project, we developed a CNN model and inception V3 model to train and to identify various human emotions like anger, sadness, disgust, fear, happiness, neutral feeling along with their age and gender using image, video, and audio.","PeriodicalId":165055,"journal":{"name":"2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Deep Learning Approach For Human Emotion-Gender-Age Recognition\",\"authors\":\"S. Suraj, V. M. Sapna\",\"doi\":\"10.1109/C2I456876.2022.10051197\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Deep Learning has found massive applications in the area of Computer vision. In everyday activities, each individual connect with the other via facial expressions too along with basic communication languages. Emotions allow a person to convey his or her inner state of mind. In this project, we developed a CNN model and inception V3 model to train and to identify various human emotions like anger, sadness, disgust, fear, happiness, neutral feeling along with their age and gender using image, video, and audio.\",\"PeriodicalId\":165055,\"journal\":{\"name\":\"2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/C2I456876.2022.10051197\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 3rd International Conference on Communication, Computing and Industry 4.0 (C2I4)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/C2I456876.2022.10051197","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Deep Learning Approach For Human Emotion-Gender-Age Recognition
Deep Learning has found massive applications in the area of Computer vision. In everyday activities, each individual connect with the other via facial expressions too along with basic communication languages. Emotions allow a person to convey his or her inner state of mind. In this project, we developed a CNN model and inception V3 model to train and to identify various human emotions like anger, sadness, disgust, fear, happiness, neutral feeling along with their age and gender using image, video, and audio.
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