The Research of Real-Time Monitoring System of All-Weather Fatigue Driving

Wei Zhao; Wen Juan Huang; Jing Xia Niu; Hong Ping Yao

doi:10.4028/www.scientific.net/AMM.543-547.1026

Paper Titles

Study of the Design of Radar Life Detector Based on DSP Signal Processing System
p.1009

An Improved Approach to RS485-Based Long-Distance High Speed Telemetry for Industrial Sensor Data
p.1013

Study of Infrared Thermograph NDT of Airplane Composites
p.1018

Design on Video-Based Automatic Detecting and Recording System of Vehicles for Violation of Traffic Signal
p.1022

The Research of Real-Time Monitoring System of All-Weather Fatigue Driving
p.1026

Application of Fiber Bragg Grating Device in Icing Monitoring System of Transmission Lines
p.1030

Temperature Measurements for Transmission Lines Based on Passive Optical Sensing
p.1035

The Design and Implementation of Electrolytic Plating Thickness Tester Based on Android
p.1042

The Measurement System of Partial Discharge under Impulse Voltage
p.1046

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547The Research of Real-Time Monitoring System of...

The Research of Real-Time Monitoring System of All-Weather Fatigue Driving

Abstract:

In this paper, a real-time monitoring system of all-weather fatigue driving which is based on DSP (TMS320DM643) is introduced. The method of regional area combining the skin color model, can quickly locate the drivers face. The paper also presents the judgment of eye state, the fetch of fatigue parameters (PERCLOS, ECT and EBF), and the general method for the determination of fatigue degree. The system has very strong using value, and practical significance.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

1026-1029

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.1026

Citation:

Cite this paper

Online since:

March 2014

Authors:

Wei Zhao*, Wen Juan Huang, Jing Xia Niu, Hong Ping Yao

Keywords:

Fatigue Driving, Fatigue Parameters, Skin-Color Model, TMS320DM643

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Merritt S L, Schnyders H C. Circadian Aspects of Papollary Unrest Reflecting Daytime Sleepiness[J]. Sleep Research Online. 1999. 2(1): 773.

Google Scholar

[2] Hostens I, Romon H. Assessment of Muscle Fatigue in Low Level Monotonous Task Performance during Car Driving [J]. Electromyography and Kinesiology. 2005, 15(3): 266~274.

DOI: 10.1016/j.jelekin.2004.08.002

Google Scholar

[3] Serge Boverie. Driver Fatigue Monitoring Technologies and Future Ideas [C]. Road Safety Workshop, (2004).

Google Scholar

[4] Ji Qiang, Yang Xiaojie. Real-time Eye, Gaze and Face Pose Tracking for Monitoring Driver Vigilance [J]. Real-Time Imaging 2002, 8 (5): 357~377.

DOI: 10.1006/rtim.2002.0279

Google Scholar

[5] Thomas B, Ralf S, Andry R. Affordable Visual Driver Monitoring System for Fatigue and Monotony. 2004 IEEE International Conference on Systems, Man and Cybernetics. (2004).

DOI: 10.1109/icsmc.2004.1401415

Google Scholar

[6] Liu Xianglou, Zhang Ming, Deng Yanru. A Kind of Segmentation Method of Face Object[J]. Science Technology and Engineering. 2011(12) (in Chinese).

Google Scholar

[7] Wang Jinting, Yang Min. Self-adaptive Skin Color Detection Based on YCbCr Color Space[J]. Computer Systems Applications, 2007(06)(in Chinese).

Google Scholar

[8] Shahbe Mat Desa, Qussay A Salih. Image Subtraction for Real Time Moving Object Extraction. Proceedings of the International Conference on Computer Graphics, Imaging and Visualization. (2004).

DOI: 10.1109/cgiv.2004.1323958

Google Scholar