期刊论文

Zhao, Gang

英文

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

1532-0626

2017

30

23

e4457-

10.1002/cpe.4457

This work was supported by the project Research on interactive virtual exhibition technology for Tujia Nationality's Brocade Culture (No.2015BAK27B02) under the National Science & Technology Supporting Program during the Twelfth Five-year Plan Period granted by the Ministry of Science and Technology of China. This work is supported by 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 with Grant No. 17YJA880104. This work has also been supported by National Natural Science Foundation of China under Grant 61562025.

本校为第一且通讯机构

Drowsy student state detection is helpful to understand the students' learning state, which is the necessary and basic aspect of teaching activities evaluation and assessment. The performance of traditional methods may deteriorate dramatically because of the external environment factors. In this paper, a novel drowsy student state detection method by integrating deep convolutional neural network is proposed at the first time in the literature. The proposed method avoids the complicated manual feature extraction operation and it can effectively ...