Computer Science ›› 2016, Vol. 43 ›› Issue (8): 282-285.doi: 10.11896/j.issn.1002-137X.2016.08.057

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Fatigue Recognition Based on Spare Representation

NIU Geng-tian, WANG Chang-ming and MENG Hong-bo   

  • Online:2018-12-01 Published:2018-12-01

Abstract: In order to solve the traffic safety problems caused by fatigue driving,a method based on sparse representation was proposed to detect the fatigue through face image.In this method,first,Gabor wavelets are used to extract multi-scale and multi-orientation features.At the same time,considering the execution efficiency of the algorithm,2D-PCA is used to reduce the dimension of features.Finally,based on sparse representation theory,the over-complete dictionary of fatigue is constructed and fatigue is identified.The proposed method was tested on the self-built database.Experimental results show the effectiveness of the proposed method,and the fatigue recognition rate reaches 94.5%.

Key words: Fatigue recognition,Gabor wavelets,2D-PCA,Over-complete dictionary,Sparse representation

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