Computer Science ›› 2020, Vol. 47 ›› Issue (11A): 196-203.doi: 10.11896/jsjkx.191100203

• Computer Graphics & Multimedia • Previous Articles     Next Articles

Study on Online Education Focus Degree Based on Face Detection and Fuzzy Comprehensive Evaluation

ZHONG Ma-chi, ZHANG Jun-lang, LAN Yang-bo, HE Yue-hua   

  1. College of Computer Science,South China Normal University,Guangzhou 510631,China
  • Online:2020-11-15 Published:2020-11-17
  • About author:ZHONG Ma-chi,born in 1997,undergraduate.His research direction is computer vision.

Abstract: Aiming at the problem of less supervised means for students in online education,the fuzzy comprehensive evaluation algorithm based on face detection detects the head's left (right) turning angle,head lifting (low) angle,eye closure,mouth closure and facial expression through face image detection,uses the left (right) turning angle of the head and the head lifting (low) angle to score the head posture.Based on the results of eye closure and mouth closure,the fatigue score is evaluated.Combined with facial expression detection results,the emotion score is evaluated.Then the fuzzy comprehensive evaluation method is used to quantitatively judge the concentration degree of learning according to the scores of head posture,fatigue and emotion.The algorithm is applied to the evaluation of students' classroom concentration on the online education platform,helping the instructors to timely acquire the classroom concentration of the students in the online classroom,and provide assistance for improving the teaching plan and urging students to learn.The learning concentration detection system of the online education platform designed based on this algorithm is used to simulate the scene use test,which can effectively evaluate the classroom concentration of the students according to the face detection result,and improve the classroom quality and the learning effect of the students.

Key words: Classroom supervision, Concentration, Face detection, Fuzzy comprehensive evaluation, Online education

CLC Number: 

  • TP183
[1] WU L Q.A comparative study on the effect of online classroom teaching and traditional classroom teaching[J].Education Mo-dernization,2019,6(9):276-277.
[2] TU Y,ZHANG Y J.An empirical study on the supervision mo-del of knowledge construction effect in online classroom[J].Education Modemization,2018,41(3):64-73.
[3] WANG J J.Research on the application of emotion computing based on expression recognition technology in Modern Distance Education[D].Tianjin:Tianjin Normal University,2005.
[4] YUAN Y.Research on the recognition of bad expression in Distance Education[D].Chengdu:Sichuan Normal University,2014.
[5] LI W Q.Research on learning focus recognition method for Distance Education[D].Hangzhou:Hangzhou Dianzi University,2018.
[6] PAN X.Research on face detection and expression feature extraction of learners in online teaching context[D].Beijing:Capital Normal University,2009.
[7] XIONG B H.Research and application of attention detectionmethod integrating sight analysis in online learning [D].Hangzhou:Hangzhou University of Electronic Science and technology,2018.
[8] PENG D L.General psychology [M].Beijing:Beijing NormalUniversity Press,2001:169-193.
[9] WIERWILLE W W,ELLSWORT L A,WREGGIT S S,et al.Research on vehicle-based driver status/performance monitoring;development,validation,and refinemen of algorithms for detection of driver drowsiness,final report[R].Office of Crash Avoidance Research National Highway Traffic Safety Administration,1994,12:247.
[10] LIN C D,YANG Z L,HUANG X T.Dictionary of Psychology(Volume I)[M].Shanghai:Shanghai Education Press,2003:947-948.
[11] FENG M N,LIU X M.The relationship between cognitive inhibition and emotion and action control style of college students[J].Chinese Journal of mental health,2019(11):862-867.
[12] SHEN J C,DU S X,LUO Y,et al.Fuzzy comprehensive evaluation method and application based on cloud model[J].Fuzzy System and Mathematics,2012,26(6):115-123.
[13] LU Y,WANG Z.Detecting Driver Yawning in Successive Images[C]//The International Conference on Bioinformatics and Biomedical Engineering.IEEE Xplore,2007,07:581-583.
[14] SAATY,THOMAS L,PENIWATI,et al.Group Decision Ma-king:Drawing out and Reconciling Differences[M].Pittsburgh,Pennsylvania:RWS Publications,2013:1-385.
[15] LI X C.Fuzzy mathematics method and application[M].Beijing:Chemical Industry Press,2017:83-113.
[1] JING Hui-yun, ZHOU Chuan, HE Xin. Security Evaluation Method for Risk of Adversarial Attack on Face Detection [J]. Computer Science, 2021, 48(7): 17-24.
[2] ZHANG Kai-qiang, JIANG Cong-feng, CHENG Xiao-lan, JIA Gang-yong, ZHANG Ji-lin, WAN Jian. Resource-aware Based Adaptive-scaling Image Target Detection Under Multi-resolution Scenario [J]. Computer Science, 2021, 48(4): 180-186.
[3] DENG Liang, XU Geng-lin, LI Meng-jie, CHEN Zhang-jin. Fast Face Recognition Based on Deep Learning and Multiple Hash Similarity Weighting [J]. Computer Science, 2020, 47(9): 163-168.
[4] ZHAO Bo, YANG Ming, TANG Zhi-wei and CAI Yu-xin. Intelligent Video Surveillance Systems Based on FPGA [J]. Computer Science, 2020, 47(6A): 609-611.
[5] LIN Zeng-min, HONG Chao-qun, ZHUANG Wei-wei. Face Image Deduplication Based on Fusion of Face Tracking and Clustering [J]. Computer Science, 2020, 47(11A): 615-619.
[6] ZHENG Hong-bo, WU Bin, XU Fei, ZHANG Mei-yu, QIN Xu-jia. Visualization of Solid Waste Incineration Exhaust Emissions Based on Gaussian Diffusion Model [J]. Computer Science, 2019, 46(6A): 527-531.
[7] HENG Hong-jun, WANG Rui. Long-term Operational Situation Assessment System for Terminal Buildings [J]. Computer Science, 2019, 46(5): 310-314.
[8] ZHAO Qian-qian, LV Min, XU Yin-long. Estimating Graphlets via Two Common Substructures Aware Sampling in Social Networks [J]. Computer Science, 2019, 46(3): 314-320.
[9] FENG Yan-hong, YU Hong, SUN Geng, PENG Song. Diversity Measures Method in High-dimensional Semantic Vector Based on Asymmetric Multi-valued Feature Jaccard Coefficient [J]. Computer Science, 2018, 45(6): 57-66.
[10] LI Yan, GUO Na-na, WU Ting-ting, ZHAN Yan. Attribute Reduction Based on Concentration Boolean Matrix under Dominance Relations [J]. Computer Science, 2018, 45(10): 229-234.
[11] LI Yan, GUO Na-na and ZHAO Hao. Attribute Reduction Based on Variable Precision Rough Sets and Concentration Boolean Matrix [J]. Computer Science, 2017, 44(Z6): 70-74.
[12] YANG Yan and JIANG Guo-ping. Improved Method of Computer Virus Signature Automatic Extraction Based on N-Gram [J]. Computer Science, 2017, 44(Z11): 338-341.
[13] LUO Feng-e, ZHANG Cheng-wei and LIU An. Flight Delays Early Warning Management and Analysis Based on Data Mining [J]. Computer Science, 2016, 43(Z6): 542-546.
[14] XU Wen-hua, CHEN Hai-yan, ZHANG Yu-ping and WANG Jian-dong. Fuzzy Comprehensive Evaluation Method Based on Measure of Medium Truth Degree [J]. Computer Science, 2016, 43(2): 204-209.
[15] HUO Yu-lin and FU Yi-de. Face Detection Design Based on Zynq [J]. Computer Science, 2016, 43(10): 322-325.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!