{"title":"基于面部表情的压力警报器","authors":"S. Sinha, Aakarsh Sharma","doi":"10.55524/ijircst.2023.11.3.9","DOIUrl":null,"url":null,"abstract":"This paper presents the development of a stress detector using facial expression analysis in Python, utilizing the Deep Face library. Also, after detecting whether the person is in stress or not, it allows the user to inform about his stress to the preferred his/her family member by sending an automated WhatsApp message and showing some remedies to reduce stress.","PeriodicalId":218345,"journal":{"name":"International Journal of Innovative Research in Computer Science and Technology","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Stress Alarm Raiser Based on Facial Expressions\",\"authors\":\"S. Sinha, Aakarsh Sharma\",\"doi\":\"10.55524/ijircst.2023.11.3.9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the development of a stress detector using facial expression analysis in Python, utilizing the Deep Face library. Also, after detecting whether the person is in stress or not, it allows the user to inform about his stress to the preferred his/her family member by sending an automated WhatsApp message and showing some remedies to reduce stress.\",\"PeriodicalId\":218345,\"journal\":{\"name\":\"International Journal of Innovative Research in Computer Science and Technology\",\"volume\":\"66 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Innovative Research in Computer Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.55524/ijircst.2023.11.3.9\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Innovative Research in Computer Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.55524/ijircst.2023.11.3.9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents the development of a stress detector using facial expression analysis in Python, utilizing the Deep Face library. Also, after detecting whether the person is in stress or not, it allows the user to inform about his stress to the preferred his/her family member by sending an automated WhatsApp message and showing some remedies to reduce stress.