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Open AccessArticle

A Computer-Vision Based Application for Student Behavior Monitoring in Classroom

1
ICT Department, FPT University, Hanoi 10000, Vietnam
2
School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China
3
Department of Computer Science, University of Freiburg, 79098 Freiburg, Germany
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Appl. Sci. 2019, 9(22), 4729; https://doi.org/10.3390/app9224729
Received: 26 September 2019 / Revised: 27 October 2019 / Accepted: 2 November 2019 / Published: 6 November 2019
Automated learning analytics is becoming an essential topic in the educational area, which needs effective systems to monitor the learning process and provides feedback to the teacher. Recent advances in visual sensors and computer vision methods enable automated monitoring of behavior and affective states of learners at different levels, from university to pre-school. The objective of this research was to build an automatic system that allowed the faculties to capture and make a summary of student behaviors in the classroom as a part of data acquisition for the decision making process. The system records the entire session and identifies when the students pay attention in the classroom, and then reports to the facilities. Our design and experiments show that our system is more flexible and more accurate than previously published work. View Full-Text
Keywords: student’s behavior; visual attention; face detection; facial recognition; gaze estimation; classification student’s behavior; visual attention; face detection; facial recognition; gaze estimation; classification
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MDPI and ACS Style

Ngoc Anh, B.; Tung Son, N.; Truong Lam, P.; Phuong Chi, L.; Huu Tuan, N.; Cong Dat, N.; Huu Trung, N.; Umar Aftab, M.; Van Dinh, T. A Computer-Vision Based Application for Student Behavior Monitoring in Classroom. Appl. Sci. 2019, 9, 4729. https://doi.org/10.3390/app9224729

AMA Style

Ngoc Anh B, Tung Son N, Truong Lam P, Phuong Chi L, Huu Tuan N, Cong Dat N, Huu Trung N, Umar Aftab M, Van Dinh T. A Computer-Vision Based Application for Student Behavior Monitoring in Classroom. Applied Sciences. 2019; 9(22):4729. https://doi.org/10.3390/app9224729

Chicago/Turabian Style

Ngoc Anh, Bui; Tung Son, Ngo; Truong Lam, Phan; Phuong Chi, Le; Huu Tuan, Nguyen; Cong Dat, Nguyen; Huu Trung, Nguyen; Umar Aftab, Muhammad; Van Dinh, Tran. 2019. "A Computer-Vision Based Application for Student Behavior Monitoring in Classroom" Appl. Sci. 9, no. 22: 4729. https://doi.org/10.3390/app9224729

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