{"title":"An AI based Formulated Feedback-System for Interpreting Conclusive Emotions for A Group of People","authors":"Ankita Dixit, Mohit Vashishtha, Karan Guleri","doi":"10.1109/GlobConPT57482.2022.9938357","DOIUrl":null,"url":null,"abstract":"Understanding emotions of people in a group is an essential facet of learning in today's time. Lot of information about emotional state, feeling and identity of human beings is conveyed via facial expression. Emotion recognition is a striking and demanding problem which in turn can help harness insights about individual and organizational behavior and can add big value to various businesses ranging from education, hospitality, entertainment, eateries, etc. In our research paper, we have proposed an AI rooted Emotion detection and recognition feedback system using mathematical solutions. AI based proposed solution will be self -governing and will be freewheeling from gender and age of human being in emotion detection and recognition, unlike past systems, which have largely failed to provide. This proposed solution system will greatly increase the potential to use the recognized emotion data from a wider applicability perspective and giving scope for customization as per customer's business requirement. In this study paper, a unique AI based emotion recognition detection mathematical solution system is proposed to analyze the behavior/reaction of people in a group. Proposed solution system will act as a feedback system and is able to amass multiple faces, extract respective emotions and formulate the detected emotions through proposed solution system to give aggregated behavior/emotion of the group as a whole.","PeriodicalId":431406,"journal":{"name":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GlobConPT57482.2022.9938357","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Understanding emotions of people in a group is an essential facet of learning in today's time. Lot of information about emotional state, feeling and identity of human beings is conveyed via facial expression. Emotion recognition is a striking and demanding problem which in turn can help harness insights about individual and organizational behavior and can add big value to various businesses ranging from education, hospitality, entertainment, eateries, etc. In our research paper, we have proposed an AI rooted Emotion detection and recognition feedback system using mathematical solutions. AI based proposed solution will be self -governing and will be freewheeling from gender and age of human being in emotion detection and recognition, unlike past systems, which have largely failed to provide. This proposed solution system will greatly increase the potential to use the recognized emotion data from a wider applicability perspective and giving scope for customization as per customer's business requirement. In this study paper, a unique AI based emotion recognition detection mathematical solution system is proposed to analyze the behavior/reaction of people in a group. Proposed solution system will act as a feedback system and is able to amass multiple faces, extract respective emotions and formulate the detected emotions through proposed solution system to give aggregated behavior/emotion of the group as a whole.