Vision based composite approach for lethargy detection

Author

Khan, Imran ; Abdullah, Hanim ; Zainal, Mohd Shamian ; Anuar, Shipun ; Hazwaj, Mhd ; Mohamad, Md

Author_Institution

Dept. of Comput. Eng., Univ. Tun Hussein Onn Malaysia, Parit Raja, Malaysia

fYear

2014

fDate

7-9 March 2014

Firstpage

82

Lastpage

86

Abstract

This paper presents a fatigue detection techniques based on computer vision. Fatigue is detected from face and facial features of driver. Hybrid method is used for face and facial feature detection which not only increase the accuracy of the system but also decrease the processing time. Skin color pixels detection and viola Jones methods is used for face detection and knowledge based division method is used to increase the accuracy of facial feature detection. Also a dynamic threshold value is used for yawning and eyes status detection. The average yawning false alarm rate is 1.5% and closed eyes false alarm rate is 0.13%. Algorithm is developed in MATLAB software. The average accuracy of the system is 97.7%.

Keywords

computer vision; face recognition; image colour analysis; knowledge based systems; MATLAB software; Viola Jones method; computer vision; dynamic threshold value; eyes status detection; face detection; facial feature detection; fatigue detection; knowledge based division method; lethargy detection; skin color pixels detection; vision based composite approach; yawning detection; Face; Facial features; Fatigue; Image color analysis; Mouth; Skin; Vehicles; computer vision; face and facial feature detection; threshold value calculation; yawning and eye status detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing & its Applications (CSPA), 2014 IEEE 10th International Colloquium on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4799-3090-6

Type

conf

DOI

10.1109/CSPA.2014.6805725

Filename

6805725