Title :
Detection Technology of Facial Fatigue State and Development of the System
Author :
Jing Hao ; Taihang Du
Author_Institution :
Sch. of Control Sci. & Eng., Hebei Univ. of Technol., Tianjin, China
Abstract :
The article in-depth studies the detection technology of facial fatigue state and the development of the system, based on the statistical characteristics of human skin color and size constraints realizes the segmentation of the face region. According to the image pixel projection method, the eyes and the mouth for positioning and detecting the respective aspect ratio. Changes of the ratio of length to width judges whether in a state of fatigue. Using Simulink establishes the detection model of facial fatigue state detection model and tests. the C language code which is generated by the detection model directly runs in the DM642 processing chip, shortens the development cycle of the detection system which based on DSP.
Keywords :
C language; digital signal processing chips; digital simulation; face recognition; image segmentation; object detection; road accidents; road safety; skin; statistical analysis; traffic engineering computing; C language code; DM642 processing chip; DSP; Simulink; detection technology; eyes; face region segmentation; facial fatigue state; human skin color; image pixel projection method; mouth; size constraints; statistical characteristics; system development; Debugging; Educational institutions; Face; Face detection; Fatigue; Mouth; Software packages; DSP; automatic identification; facial fatigue; simulink;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2646-9
DOI :
10.1109/ISCID.2012.221
