一种基于人工智能的公式化反馈系统,用于解释一群人的结论性情绪

Ankita Dixit, Mohit Vashishtha, Karan Guleri
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引用次数: 1

摘要

在当今时代,理解群体中人们的情绪是学习的一个重要方面。人类的很多情绪状态、感觉和身份信息都是通过面部表情来传达的。情绪识别是一个引人注目且要求很高的问题,它反过来可以帮助利用对个人和组织行为的洞察,并可以为教育、酒店、娱乐、餐饮等各种业务增加巨大价值。在我们的研究论文中,我们提出了一个基于AI的情感检测和识别反馈系统,并使用数学解决方案。以人工智能为基础的解决方案将是自我管理的,并且在情感检测和识别方面不受性别和年龄的限制,这与过去的系统在很大程度上未能提供的不同。提出的解决方案系统将大大增加从更广泛的适用性角度使用识别的情感数据的潜力,并根据客户的业务需求提供定制空间。本文提出了一种独特的基于人工智能的情绪识别检测数学解系统,用于分析群体中人们的行为/反应。提议的解决方案系统将作为一个反馈系统,能够收集多个面孔,提取各自的情绪,并通过提议的解决方案系统形成检测到的情绪,从而将群体的行为/情绪作为一个整体进行汇总。
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An AI based Formulated Feedback-System for Interpreting Conclusive Emotions for A Group of People
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.
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