Varsha Singh, Laalasa Krishna, Lakshmi Gude, Lahari Challa, Praneeksha Jayam, Telu Akshay Kumar, G. N. Reddy, U. Tiwary
{"title":"基于CNN的面部情感水平识别","authors":"Varsha Singh, Laalasa Krishna, Lakshmi Gude, Lahari Challa, Praneeksha Jayam, Telu Akshay Kumar, G. N. Reddy, U. Tiwary","doi":"10.1109/TENSYMP55890.2023.10223632","DOIUrl":null,"url":null,"abstract":"Humans have traditionally found it easy to determine emotions from facial expressions, but doing so using a computer algorithm is much more difficult. The ability to recognise these emotions is a key element of natural human-machine interfaces. Thus, Facial Emotion Level Recognition covers a wide range of applications. In this paper, We present a novel technique for identifying the intensity of emotions using CNN.","PeriodicalId":314726,"journal":{"name":"2023 IEEE Region 10 Symposium (TENSYMP)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Facial Emotion Level Recognition Using CNN\",\"authors\":\"Varsha Singh, Laalasa Krishna, Lakshmi Gude, Lahari Challa, Praneeksha Jayam, Telu Akshay Kumar, G. N. Reddy, U. Tiwary\",\"doi\":\"10.1109/TENSYMP55890.2023.10223632\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Humans have traditionally found it easy to determine emotions from facial expressions, but doing so using a computer algorithm is much more difficult. The ability to recognise these emotions is a key element of natural human-machine interfaces. Thus, Facial Emotion Level Recognition covers a wide range of applications. In this paper, We present a novel technique for identifying the intensity of emotions using CNN.\",\"PeriodicalId\":314726,\"journal\":{\"name\":\"2023 IEEE Region 10 Symposium (TENSYMP)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE Region 10 Symposium (TENSYMP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TENSYMP55890.2023.10223632\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE Region 10 Symposium (TENSYMP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TENSYMP55890.2023.10223632","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Humans have traditionally found it easy to determine emotions from facial expressions, but doing so using a computer algorithm is much more difficult. The ability to recognise these emotions is a key element of natural human-machine interfaces. Thus, Facial Emotion Level Recognition covers a wide range of applications. In this paper, We present a novel technique for identifying the intensity of emotions using CNN.