摘要
本文详细分析了目前教室授课评估系统存在的问题,采用监控摄像头配合人脸情绪识别技术,通过实时监控学生情绪状态变化评估课堂授课状态。本文提出一种基于Python+OpenCV+Dlib的面部情绪分析课堂授课评估系统的设计与实现,该系统实现的功能模块包括人脸图像采集、人脸检测与定位、表情特征提取与识别、课堂活跃程度统计,授课状态报表生成等。系统中人脸检测与识别基于OpenCV的face_recognition模块,采用开源库Dlib进行面部特征点提取,最后提取学生课堂情绪状态。系统经过运行测试,结果表明该系统能够满足一般的基于人脸情绪识别的授课评估任务需求。
This paper analyzes the existing problems of the current classroom teaching evaluation system in detail.We use the monitoring camera and face emotion recognition technology to evaluate the classroom teaching state by monitoring the changes of students'emotional state in real time.This paper presents the design and implementation of a face emotion analysis classroom teaching evaluation system based on Python+OpenCV+Dlib.The functional modules of the system include face image collection,face detection and location,expression feature extraction and recognition,classroom activity statistics,teaching status report generation,etc.In the system,face recognition module based on OpenCV.We use Dlib to extract facial feature points,and finally extracts students'emotional state in class.The result of running test shows that the system can meet the needs of teaching evaluation task based on face emotion recognition.
作者
蔡玉宝
李德峰
连海根
马留洋
CAI Yu-bao;LI De-feng;LIAN Hai-gen;MA Liu-yang(The 27th Research Institute of China Electronics Technology Group Corporation,Zhenzhou Henan 450000;Military Representative Office of the Army Equipment Department in Xi'an Region in Zhengzhou,Zhenzhou Henan 450000)
出处
《数字技术与应用》
2020年第10期147-149,共3页
Digital Technology & Application
关键词
表情识别
智慧教室
教学评估
expression recognition
intelligent classroom
teaching evaluation
作者简介
蔡玉宝(1989-),男,河南信阳人,硕士研究生,工程师,研究方向:人工智能。
