计算机工程2024，Vol.50Issue(7)：96-103,8.DOI:10.19678/j.issn.1000-3428.0069592
基于全范围头部姿态估计的教师注意力识别算法
Teacher Attention Recognition Algorithm Based on Full-Range Head Pose Estimation
摘要
Abstract
Research on teacher attention is valuable for evaluating classroom teacher behavior.However,existing teacher-attention recognition algorithms struggle to address issues such as extreme head pose angles.This study proposes a teacher-attention state recognition algorithm based on the 6DRepNet360 model.This algorithm effectively enhances the accuracy of head pose estimation algorithms under extreme angles.In contrast to traditional methods that rely on conditional judgments to classify teacher attention states,the designed teacher-attention classification model,based on a Support Vector Machine(SVM),enables precise recognition of attention states even under complex head pose angles.To further address the errors introduced by the algorithm stability and accuracy,this study introduces a data cleaning algorithm based on a sliding window,effectively improving the authenticity and reliability of the overall recognition results.Through a series of algorithm evaluations on the constructed CCNUTeacherState dataset,experimental results demonstrate that the proposed teacher-attention recognition algorithm achieves an accuracy of 90.67%on the CCNUTeacherState dataset.关键词
教师注意力/全范围角度/6DRepNet360模型/支持向量机/数据清洗技术Key words
teacher attention/full-range angles/6DRepNet360 model/Support Vector Machine(SVM)/data cleaning technology分类
信息技术与安全科学引用本文复制引用
陈增照,王政,郑秋雨..基于全范围头部姿态估计的教师注意力识别算法[J].计算机工程,2024,50(7):96-103,8.基金项目
国家自然科学基金(62077022) （62077022）
华中师范大学国家教师发展协同创新实验基地建设项目(CCNUTEIII 2024-01). （CCNUTEIII 2024-01）
