Computer Science ›› 2018, Vol. 45 ›› Issue (6A): 227-229.

• Pattern Recognition & Image Processing • Previous Articles     Next Articles

Yawning Detection Algorithm Based on Convolutional Neural Network

MA Su-gang1,2,ZHAO Chen2,SUN Han-lin2,HAN Jun-gang2   

  1. School of Information Engineering,Chang’an University,Xi’an 710064,China1
    School of Computer Science and Technology,Xi’an University of Posts and Telecommunications,Xi’an 710121,China2
  • Online:2018-06-20 Published:2018-08-03

Abstract: Yawning detection can be used to warn drivers of fatigue driving behavior,thereby reducing traffic accidents.A yawning detection algorithm based on convolutional neural network was proposed.The driver’s facial image can be directly used as input for neural network,so as to avoid the complex explicit feature extraction of the facial image.The Softmax classifier is used to classify the features extracted from the neural network to determine whether the behavior is yawning or not.This algorithm achieves 92.4% accuracy in the YawDD dataset.Compared with other existing algorithms,the proposed method has the advantages of high detection accuracy and simpleimplementation.

Key words: Yawning detection, Convolutional neural network, Weight sharing, Softmax classifier, Yawning detection dataset

CLC Number: 

  • TP183
[1]DWIVEDI K,BISWARANJAN K,SETHI A.Drowsy driver detection using representation learning[C]∥IEEE International Advance Computing Conference.IEEE,2014:995-999.
[2]ABTAHI S,SHIRMOHAMMADI S,HARIRI B,et al.A yaw- ning measurement method using embedded smart cameras[C]∥Instrumentation and Measurement Technology Conference.IEEE,2013:1605-1608.
[3]GALLUP A C,ELDAKAR O T.The thermoregulatory theory of yawning:what we know from over 5 years of research[J].Frontiers in Neuroscience,2013,6:188.
[4]OMIDYEGANEH M,SHIRMOHAMMADI S,ABTAHI S,et al.Yawning Detection Using Embedded Smart Cameras[J].IEEE Transactions on Instrumentation & Measurement,2016,65(3):1-13.
[6]ANITHA C,VENKATESHA M K,ADIGA B S.A Two Fold Expert System for Yawning Detection[J].Procedia Computer Science,2016,92:63-71.
[7]FAN X,YIN B C,SUN Y F.Yawning detection based on Gabor wavelets and LDA[J].Beijing Gongye Daxue Xuebao,2009,35(3):409-413,432.
[8]LI L,CHEN Y,LI Z.Yawning detection for monitoring driver fatigue based on two cameras[C]∥International IEEE Confe-rence on Intelligent Transportation Systems.IEEE Xplore,2009:1-6.      
[1] SHAN Mei-jing, QIN Long-fei, ZHANG Hui-bing. L-YOLO:Real Time Traffic Sign Detection Model for Vehicle Edge Computing [J]. Computer Science, 2021, 48(1): 89-95.
[2] HE Yan-hui, WU Gui-xing, WU Zhi-qiang. Domain Alignment Based Object Detection of X-ray Images [J]. Computer Science, 2021, 48(1): 175-181.
[3] LI Ya-nan, HU Yu-jia, GAN Wei, ZHU Min. Survey on Target Site Prediction of Human miRNA Based on Deep Learning [J]. Computer Science, 2021, 48(1): 209-216.
[4] ZHANG Jia-jia, ZHANG Xiao-hong. Multi-branch Convolutional Neural Network for Lung Nodule Classification and Its Interpretability [J]. Computer Science, 2020, 47(9): 129-134.
[5] ZHU Ling-ying, SANG Qing-bing, GU Ting-ting. No-reference Stereo Image Quality Assessment Based on Disparity Information [J]. Computer Science, 2020, 47(9): 150-156.
[6] CUI Tong-tong, WANG Gui-ling, GAO Jing. Ship Trajectory Classification Method Based on 1DCNN-LSTM [J]. Computer Science, 2020, 47(9): 175-184.
[7] LIU Hai-chao, WANG Li. Graph Classification Model Based on Capsule Deep Graph Convolutional Neural Network [J]. Computer Science, 2020, 47(9): 219-225.
[8] LIANG Zheng-you, HE Jing-lin, SUN Yu. Three-dimensional Convolutional Neural Network Evolution Method for Facial Micro-expression Auto-recognition [J]. Computer Science, 2020, 47(8): 227-232.
[9] SUN Yan-li, YE Jiong-yao. Convolutional Neural Networks Compression Based on Pruning and Quantization [J]. Computer Science, 2020, 47(8): 261-266.
[10] LIU Xiao, YUAN Guan, ZHANG Yan-mei, YAN Qiu-yan, WANG Zhi-xiao. Hand Gesture Recognition Based on Self-adaptive Multi-classifiers Fusion [J]. Computer Science, 2020, 47(7): 103-110.
[11] CHENG Zhe, BAI Qian, ZHANG Hao, WANG Shi-pu and LIANG Yu. Improving Hi-C Data Resolution with Deep Convolutional Neural Networks [J]. Computer Science, 2020, 47(6A): 70-74.
[12] HE Lei, SHAO Zhan-peng, ZHANG Jian-hua and ZHOU Xiao-long. Review of Deep Learning-based Action Recognition Algorithms [J]. Computer Science, 2020, 47(6A): 139-147.
[13] SUN Zheng and WANG Xin-yu. Application of Deep Learning in Photoacoustic Imaging [J]. Computer Science, 2020, 47(6A): 148-152.
[14] MA Hai-Jiang. Recommendation Algorithm Based on Convolutional Neural Network and Constrained Probability Matrix Factorization [J]. Computer Science, 2020, 47(6A): 540-545.
[15] WANG Yan, WANG Li. Local Gabor Convolutional Neural Network for Hyperspectral Image Classification [J]. Computer Science, 2020, 47(6): 151-156.
Full text



[1] . [J]. Computer Science, 2018, 1(1): 1 .
[2] LEI Li-hui and WANG Jing. Parallelization of LTL Model Checking Based on Possibility Measure[J]. Computer Science, 2018, 45(4): 71 -75 .
[3] SUN Qi, JIN Yan, HE Kun and XU Ling-xuan. Hybrid Evolutionary Algorithm for Solving Mixed Capacitated General Routing Problem[J]. Computer Science, 2018, 45(4): 76 -82 .
[4] ZHANG Jia-nan and XIAO Ming-yu. Approximation Algorithm for Weighted Mixed Domination Problem[J]. Computer Science, 2018, 45(4): 83 -88 .
[5] WU Jian-hui, HUANG Zhong-xiang, LI Wu, WU Jian-hui, PENG Xin and ZHANG Sheng. Robustness Optimization of Sequence Decision in Urban Road Construction[J]. Computer Science, 2018, 45(4): 89 -93 .
[6] SHI Wen-jun, WU Ji-gang and LUO Yu-chun. Fast and Efficient Scheduling Algorithms for Mobile Cloud Offloading[J]. Computer Science, 2018, 45(4): 94 -99 .
[7] ZHOU Yan-ping and YE Qiao-lin. L1-norm Distance Based Least Squares Twin Support Vector Machine[J]. Computer Science, 2018, 45(4): 100 -105 .
[8] LIU Bo-yi, TANG Xiang-yan and CHENG Jie-ren. Recognition Method for Corn Borer Based on Templates Matching in Muliple Growth Periods[J]. Computer Science, 2018, 45(4): 106 -111 .
[9] GENG Hai-jun, SHI Xin-gang, WANG Zhi-liang, YIN Xia and YIN Shao-ping. Energy-efficient Intra-domain Routing Algorithm Based on Directed Acyclic Graph[J]. Computer Science, 2018, 45(4): 112 -116 .
[10] CUI Qiong, LI Jian-hua, WANG Hong and NAN Ming-li. Resilience Analysis Model of Networked Command Information System Based on Node Repairability[J]. Computer Science, 2018, 45(4): 117 -121 .