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A simple teacher behavior recognition method for massive teaching videos based on teacher set

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成果类型:
期刊论文
作者:
Gang, Zhao;Wenjuan, Zhu;Biling, Hu;Jie, Chu;Hui, He;...
通讯作者:
Zhu Wenjuan
作者机构:
[Gang, Zhao; Qing, Xia; Biling, Hu; Jie, Chu; Wenjuan, Zhu; Hui, He] Cent China Normal Univ, Fac Artificial Intelligence Educ, Sch Educ Informat Technol, Wuhan, Peoples R China.
通讯机构:
[Zhu Wenjuan] S
School of Educational Information Technology, Faculty of Artificial Intelligence Education, Central China Normal University, Wuhan, China
语种:
英文
关键词:
Teacher behavior;Behavior recognition;Motion region extraction;Key-points tracking;Teacher’s behavior rule
期刊:
Applied Intelligence
ISSN:
0924-669X
年:
2021
卷:
51
期:
12
页码:
8828-8849
基金类别:
This work was supported by the Research on Automatic Segmentation and Recognition of Teaching Scene with the Characteristics of Teaching Behavior of National Natural Science Foundation of China [61977034]; and the Project named Research on Outdoor Experiential Learning Environment Construction Method Based on Scene Perception granted by the Humanities and Social Science project of Chinese Ministry of Education[17YJA880104]; and the Research on Key Technology of Intelligent Education Evaluation and Service Based on Blockchain Technology (CCNU20ZN004) financially supported by self-determined research funds of CCNU from the colleges basic research and operation of MOE. We also thank the anonymous reviewers for their valuable comments and suggestions.
机构署名:
本校为第一机构
院系归属:
教育信息技术学院
摘要:
The analysis of teacher behavior of massive teaching videos has become a surge of research interest recently. Traditional methods rely on accurate manual analysis, which is extremely complex and time-consuming for analyzing massive teaching videos. However, existing works on action recognition are difficultly transplanted to the teacher behavior recognition, because it is difficult to extract teacher’s behavior from complex teaching scenario, and teacher’s behaviors are given professional educational semantics. These methods are not adequate ...

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