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Open AccessArticle10.2991/aiie-15.2015.29

Design and Implementation of Embedded Driver Fatigue Monitor System

Honghai Shen,Minghao Xu-2015-01-01-Advances in intelligent systems research/Advances in Intelligent Systems Research
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TL;DRAbstract

In order to improve the performance of embedded driver fatigue monitor system, this article designed and implemented a new system based on Soc. This design adopts the ARM as the core processor which is connected to other peripheral by FPGA. The system also uses the embedded Linux to run the main algorithm which consists two Haar-Adaboost classifier to locate the eyes and classify the status of eye by support victor machine. At last by using PERCLOS standard the system will judge whether the driver is fatigue. Experimental results show that the system has a good real-time performance and the processing rate can reach 25 frames per second.

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In order to improve the performance of embedded driver fatigue monitor system, this article designed and implemented a new system based on Soc. This design adopts the ARM as the core processor which is connected to other peripheral by FPGA. The system also uses the embedded Linux to run the main algorithm which consists two Haar-Adaboost classifier to locate the eyes and classify the status of eye by support victor machine. At last by using PERCLOS standard the system will judge whether the driver is fatigue. Experimental results show that the system has a good real-time performance and the processing rate can reach 25 frames per second.

Keywords

AdaBoostComputer scienceClassifier (UML)Frame rateField-programmable gate arrayHaar-like featuresEmbedded systemReal-time computing

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