基于多模态数据的双线性融合网络学生分心行为识别

IF 0.7 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of Cases on Information Technology Pub Date : 2023-07-14 DOI:10.4018/jcit.326131
Jian Zhang
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引用次数: 0

摘要

随着政府、教育部门和学术认证机构开始鼓励学校发展循证决策和创新系统,学习分析技术在决策辅助和教学评价方面显示出巨大的优势。学习分析在整合了人工智能和机器学习中的相关算法和技术后,实现了更高的分析精度。为了实现对学生站、坐、举手等课堂行为的识别,提高识别准确率和召回率,采用人体关键点信息和RGB图像等多模态数据进行实验。为了进一步提高模型的特征提取能力,从改进的ResNet-50和EfficientNet-B0模型中提取特征,并进行双线性融合,进一步提高模型的识别精度。
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Novel Bilinear Fusion Network Based on Multimodal Data for Student Distracted Behavior Recognition
As governments, education departments, and academic accreditation bodies have begun to encourage schools to develop evidence-based decision-making and innovation systems, learning analysis techniques have shown great advantages in decision-making aid and teaching evaluation. After integrating relevant algorithms and technologies in artificial intelligence and machine learning, learning analysis has achieved higher analysis accuracy. In order to realize the recognition of students' classroom behaviors such as standing up, sitting up, and raising hands and improve the recognition accuracy and recall rate, multi-modal data such as human key point information and RGB images are used for experiments. To further improve the feature extraction capability of the model, features are extracted from the improved ResNet-50 and EfficientNet-B0 models, and bilinear fusion is performed to further improve the recognition accuracy of the models.
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来源期刊
Journal of Cases on Information Technology
Journal of Cases on Information Technology COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
2.60
自引率
0.00%
发文量
64
期刊介绍: JCIT documents comprehensive, real-life cases based on individual, organizational and societal experiences related to the utilization and management of information technology. Cases published in JCIT deal with a wide variety of organizations such as businesses, government organizations, educational institutions, libraries, non-profit organizations. Additionally, cases published in JCIT report not only successful utilization of IT applications, but also failures and mismanagement of IT resources and applications.
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