Accurately Estimate and Analyze Human Postures in Classroom Environments
Estimating human posture in crowded smart teaching environments is a fundamental technical challenge for measuring learners’ engagement levels. This work presents a model for detecting critical points in human posture using ECAv2-HRNet in crowded situations. The paper introduces a method called ECAv...
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| Format: | Article |
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MDPI AG
2025-04-01
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| Online Access: | https://www.mdpi.com/2078-2489/16/4/313 |
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| author | Zhaoyu Shou Yongbo Yu Dongxu Li Jianwen Mo Huibing Zhang Jingwei Zhang Ziyong Wu |
| author_facet | Zhaoyu Shou Yongbo Yu Dongxu Li Jianwen Mo Huibing Zhang Jingwei Zhang Ziyong Wu |
| author_sort | Zhaoyu Shou |
| collection | DOAJ |
| description | Estimating human posture in crowded smart teaching environments is a fundamental technical challenge for measuring learners’ engagement levels. This work presents a model for detecting critical points in human posture using ECAv2-HRNet in crowded situations. The paper introduces a method called ECAv2Net, which combines a channel feature reinforcement method with the ECANet attention mechanism network, this innovation improves the performance of the network. Additionally, ECAv2Net is integrated into the high-resolution network HRNet to create ECAv2-HRNet. This fusion allows for the incorporation of more useful feature information without increasing the model parameters. The paper also presents a human posture dataset called GUET CLASS PICTURE, which is designed for dense scenes. The experimental results when using this dataset, as well as a public dataset, demonstrate the superior performance of the human posture estimation model based on ECAv2-HRNet proposed in this paper. |
| format | Article |
| id | doaj-art-2d27be58dafc416f8ce06310277722cc |
| institution | OA Journals |
| issn | 2078-2489 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Information |
| spelling | doaj-art-2d27be58dafc416f8ce06310277722cc2025-08-20T02:17:59ZengMDPI AGInformation2078-24892025-04-0116431310.3390/info16040313Accurately Estimate and Analyze Human Postures in Classroom EnvironmentsZhaoyu Shou0Yongbo Yu1Dongxu Li2Jianwen Mo3Huibing Zhang4Jingwei Zhang5Ziyong Wu6School of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, ChinaSchool of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, ChinaSchool of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, ChinaSchool of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, ChinaSchool of Computer and Information Security, Guilin University of Electronic Technology, Guilin 541004, ChinaSchool of Computer and Information Security, Guilin University of Electronic Technology, Guilin 541004, ChinaSchool of Information Engineering, Nanning University, Nanning 541699, ChinaEstimating human posture in crowded smart teaching environments is a fundamental technical challenge for measuring learners’ engagement levels. This work presents a model for detecting critical points in human posture using ECAv2-HRNet in crowded situations. The paper introduces a method called ECAv2Net, which combines a channel feature reinforcement method with the ECANet attention mechanism network, this innovation improves the performance of the network. Additionally, ECAv2Net is integrated into the high-resolution network HRNet to create ECAv2-HRNet. This fusion allows for the incorporation of more useful feature information without increasing the model parameters. The paper also presents a human posture dataset called GUET CLASS PICTURE, which is designed for dense scenes. The experimental results when using this dataset, as well as a public dataset, demonstrate the superior performance of the human posture estimation model based on ECAv2-HRNet proposed in this paper.https://www.mdpi.com/2078-2489/16/4/313pose estimationkeypoint detectionimage processingECAv2Net |
| spellingShingle | Zhaoyu Shou Yongbo Yu Dongxu Li Jianwen Mo Huibing Zhang Jingwei Zhang Ziyong Wu Accurately Estimate and Analyze Human Postures in Classroom Environments Information pose estimation keypoint detection image processing ECAv2Net |
| title | Accurately Estimate and Analyze Human Postures in Classroom Environments |
| title_full | Accurately Estimate and Analyze Human Postures in Classroom Environments |
| title_fullStr | Accurately Estimate and Analyze Human Postures in Classroom Environments |
| title_full_unstemmed | Accurately Estimate and Analyze Human Postures in Classroom Environments |
| title_short | Accurately Estimate and Analyze Human Postures in Classroom Environments |
| title_sort | accurately estimate and analyze human postures in classroom environments |
| topic | pose estimation keypoint detection image processing ECAv2Net |
| url | https://www.mdpi.com/2078-2489/16/4/313 |
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