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An NC Code Based Machining Movement Simulation Method for a Parallel Robotic Machine Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Driver Fatigue Detection Based on Real-Time Eye Gaze Pattern Analysis

Authors : Wilbert G. Aguilar, Jorge I. Estrella, William López, Vanessa Abad

Published in: Intelligent Robotics and Applications

Publisher: Springer International Publishing

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Abstract

This paper introduces a real time non-intrusive method to determine driver fatigue by analyzing eye gaze patterns. Using a standard webcam and a personal computer, the proposed method combines different techniques in order to keep a low computational cost without a loss of performance. Facial features are identified in a reference image to extract a region of interest, around the eyes of the user, and tracked by an optical flow algorithm in subsequent frames. Color segmentation on the resulting images allow the system to extract data needed to determine ocular following, blink detection, frequency, and percentage of eye lid closure over time (PERCLOS). This approach, while simple, proves to be very efficient and accurate for the hardware restricted setup, allowing faster information processing on modest specifications systems. For safety reasons, our experiments are limited to different subjects, simulating fatigue in laboratory conditions as well as a real time test on a moving vehicle to analyze the blinking patterns.

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previous chapter Statistical Abnormal Crowd Behavior Detection and Simulation for Real-Time Applications
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Metadata
Title
Driver Fatigue Detection Based on Real-Time Eye Gaze Pattern Analysis
Authors
Wilbert G. Aguilar
Jorge I. Estrella
William López
Vanessa Abad
Copyright Year
2017
Book
Intelligent Robotics and Applications

Print ISBN: 978-3-319-65291-7

Electronic ISBN: 978-3-319-65292-4

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-65292-4_59

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