Multi-information fusion based fatigue driving detecting method

A technology of multi-information fusion and fatigue driving, applied in the field of motor vehicle driver fatigue driving detection, can solve the problems of low reliability of determination, inability of the fatigue warning system to be on-board, and large environmental impact, so as to improve the accuracy and reliability. , fast speed, small size of equipment

Inactive Publication Date: 2014-10-22
BEIJING MECHANICAL EQUIP INST
View PDF4 Cites 47 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a fatigue driving detection method based on multi-information fusion, to solve the problem that the fatigue early warning system used in the existing fatigue driving detection method cannot be carried on the vehicle, detects in real time, has low reliability of judgment and is greatly affected by the environment

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] The implementation steps of a fatigue driving detection method based on multi-information fusion are as follows:

[0024] The first step is to build a fatigue driving detection system

[0025] The composition of the fatigue driving detection system includes a signal acquisition module, a signal processing module and an alarm module.

[0026] The main function of the signal acquisition module is to collect signals that can reflect the driver's fatigue. Signals that reflect the driver's fatigue include respiratory signals, pulse signals, body temperature signals, steering wheel pressure signals, and steering wheel angle signals.

[0027] The signals collected by the signal collection module include respiratory signals, pulse signals, body temperature signals, pressure signals of the steering wheel and steering wheel angle signals related to the driver's fatigue state.

[0028] The extraction of the respiratory signal uses a pole-changing capacitive sensor to detect chan...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a multi-information fusion based fatigue driving detecting method. A fatigue driving detecting system used in the method comprises a signal collection module, a signal processing module and an alarming module, wherein the signal collection module collects signals relative to fatigue, the signal processing module quantizes fatigue levels of a driver, extracts feature parameters which can reflect fatigue states of the driver, performs fuzzy clustering on the feature parameters, and real-timely detects the fatigue states of the driver, and the alarming module timely performs alarming when the driver is determined to be in fatigue driving. The multi-information fusion based fatigue driving detecting method consists of a plurality of steps of signal collection, fatigue level quantization and signal processing, feature parameter extraction, and fatigue determination and alarming. The fatigue driving detecting system is vehicle-mounted, has non-compulsivity, and is capable of performing real-time determination and high in determination accuracy.

Description

technical field [0001] The invention relates to a method for detecting fatigue driving of a motor vehicle driver, in particular to a method for detecting fatigue driving based on multi-information fusion. Background technique [0002] Due to frequent traffic accidents caused by fatigue driving, it has brought great harm to people's lives and property. Therefore, the research and development of fatigue driving early warning system is of great significance. At present, there are many studies on fatigue driving detection technology. The main methods include using the driver's EEG and ECG signals to determine the fatigue status, using video and image processing technology, and some products detect the driver's body posture. Judging fatigue, these studies have achieved certain results, but there are still the following deficiencies: the equipment for collecting EEG and ECG signals is very complicated, not suitable for vehicles, and electrodes need to be pasted on the driver's bod...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G08B21/06
Inventor 刘海平邸鹏徐轶轲郑浩然马赫张中楠杨挺
Owner BEIJING MECHANICAL EQUIP INST
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap