{"title":"基于面部特征的表情识别系统","authors":"骏 邵","doi":"10.12677/jisp.2023.123026","DOIUrl":null,"url":null,"abstract":"With the continuous progress of computer technology and artificial intelligence research, Facial Expression Recognition (FER) is the core problem of artificial psychology and emotion research, and it is also an important direction of human-computer interaction technology. This paper discusses the design of the expression recognition system in depth, especially the improvement of the feature extraction-related algorithm, in order to improve the accuracy of expression recognition and ultimately achieve the goal of the expression recognition system. This paper uses a method based on the improved AdaBoost algorithm and Haar features to improve the accuracy and speed of face detection. Comparing the training time and accuracy rate of the algorithm before and after","PeriodicalId":69487,"journal":{"name":"图像与信号处理","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Facial Feature-based Expression Recognition System\",\"authors\":\"骏 邵\",\"doi\":\"10.12677/jisp.2023.123026\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the continuous progress of computer technology and artificial intelligence research, Facial Expression Recognition (FER) is the core problem of artificial psychology and emotion research, and it is also an important direction of human-computer interaction technology. This paper discusses the design of the expression recognition system in depth, especially the improvement of the feature extraction-related algorithm, in order to improve the accuracy of expression recognition and ultimately achieve the goal of the expression recognition system. This paper uses a method based on the improved AdaBoost algorithm and Haar features to improve the accuracy and speed of face detection. Comparing the training time and accuracy rate of the algorithm before and after\",\"PeriodicalId\":69487,\"journal\":{\"name\":\"图像与信号处理\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"图像与信号处理\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.12677/jisp.2023.123026\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"图像与信号处理","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.12677/jisp.2023.123026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Facial Feature-based Expression Recognition System
With the continuous progress of computer technology and artificial intelligence research, Facial Expression Recognition (FER) is the core problem of artificial psychology and emotion research, and it is also an important direction of human-computer interaction technology. This paper discusses the design of the expression recognition system in depth, especially the improvement of the feature extraction-related algorithm, in order to improve the accuracy of expression recognition and ultimately achieve the goal of the expression recognition system. This paper uses a method based on the improved AdaBoost algorithm and Haar features to improve the accuracy and speed of face detection. Comparing the training time and accuracy rate of the algorithm before and after