Recognition of User Emotions Using Artificial Intelligence

V.O. Bolilyi, L.P. Sukhovirska, Yu.M. Hordiienko
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引用次数: 0

Abstract

The article explains the face recognition process. The stages of recognition of emotions on the face and groups according to the field of application of FER are described. The main types of emotional artificial intelligence are distinguished. Seven recognized universal emotions are considered. A custom facial recognition script has been developed. Realized the functions of reading and detecting emotions live through a webcam using DeepFace.The research examines the development of the program "Recognition of user emotions using artificial intelligence." The following tasks were implemented in the work: writing the function of detecting a person in a photo or video and teaching the program to distinguish different facial emotions: happiness, sadness, anger, etc., using the DeepFace and OpenCV face recognition package. The developed computer program can be used in various aspects of everyday life: provision of personalized services, health care, employment, education, public safety. The program was tested by students of higher education major 122 "Computer science" of the Central Ukrainian State University named after V. Vinnichenko.
使用人工智能识别用户情绪
这篇文章解释了人脸识别的过程。根据应用领域的不同,描述了人脸识别和群体情感识别的阶段。对情感人工智能的主要类型进行了区分。本文考虑了七种公认的普遍情绪。开发了自定义面部识别脚本。使用DeepFace通过网络摄像头实现了实时读取和检测情绪的功能。该研究考察了“利用人工智能识别用户情绪”项目的发展。在工作中实现了以下任务:使用DeepFace和OpenCV人脸识别包,编写从照片或视频中检测人物的功能,并教程序区分不同的面部情绪:快乐,悲伤,愤怒等。开发的计算机程序可用于日常生活的各个方面:提供个性化服务、保健、就业、教育、公共安全。该程序由以V. Vinnichenko命名的乌克兰中央国立大学122“计算机科学”高等教育专业的学生进行测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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