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Human hand gesture recognition with convolutional neural networks for K-12 double-teachers instruction mode classroom

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成果类型:
期刊论文
作者:
Wang, Jixin;Liu, Tingting*;Wang, Xuan
通讯作者:
Liu, Tingting
作者机构:
[Liu, Tingting; Wang, Jixin] Cent China Normal Univ, Collaborat Innovat Ctr Informat Technol & Balance, 152 Luoyu Rd, Wuhan, Hubei, Peoples R China.
[Wang, Xuan] Cent China Normal Univ, Natl Engn Res Ctr E Learning, 152 Luoyu Rd, Wuhan, Hubei, Peoples R China.
通讯机构:
[Liu, Tingting] C
Cent China Normal Univ, Collaborat Innovat Ctr Informat Technol & Balance, 152 Luoyu Rd, Wuhan, Hubei, Peoples R China.
语种:
英文
关键词:
Deep learning;Double-teachers classroom;Hand gesture recognition;Infrared images;Learning behavior analysis
期刊:
Infrared Physics & Technology
ISSN:
1350-4495
年:
2020
卷:
111
页码:
103464
基金类别:
To demonstrate the performance of proposed model, 100 short infrared videos are selected as the dataset in this paper. The IR videos come from the two sources, namely, downloading from the internet and capturing by ourselves. In the videos, the teachers stand in front of the electronic display and teach the new courses in the classroom. With the permission of the students, teachers, and schools, our research group capture the infrared videos during the past three semesters. The key frames are
机构署名:
本校为第一且通讯机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
Infrared hand gesture images can capture the human accurate gesture information in the weak illumination environment. In this article, we propose a novel hand gesture recognition model with convolutional neural networks for the human behavior analysis in “double teachers” classroom instruction and learning scenario. The recognized instructors’ hand gestures can be utilized to analyze teachers’ non-verbal behaviors which attract learners’ attention as well as enhance their learning outcomes. To extract the features of the infrared hand gest...

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