Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Driver fatigue detection method based on D-S evidence theory

A driver fatigue and driver technology, which is applied in the field of driver fatigue detection, can solve problems such as car crash, death, loss of life and property

Inactive Publication Date: 2018-06-05
TIANJIN UNIV OF TECH & EDUCATION TEACHER DEV CENT OF CHINA VOCATIONAL TRAINING & GUIDANCE
View PDF5 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traffic accidents caused by fatigue driving often occur when the driver has no foresight and does not take active risk-avoidance measures, often resulting in car crashes and fatalities, causing very heavy losses to people's lives and property

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

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Driver fatigue detection method based on D-S evidence theory
  • Driver fatigue detection method based on D-S evidence theory

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0014] combined with figure 1 , 2 , the concrete implementation process of the present invention is illustrated:

[0015] A. Collect the driver's heart rate signal through the BMD101 miniature ECG sensor located on the chest; collect the driver's pulse and blood oxygen saturation by wearing the PC-68A pulse oximeter on the driver's wrist and placing the index finger in the blood oxygen probe; Collect the driver's breathing signal through the face and back pressure sensor placed directly on the driver's back;

[0016] B. Study the heart rate distribution characteristics of drivers during fatigue driving through statistical analysis of heart rate signals, using (1-1) and (1-2) Calculate the average heart rate and heart rate standard deviation under each time window; conduct statistical analysis on the driver's pulse oximetry to study the blood oxygen distribution characteristics under different driving conditions, using formula (1-1) and Equation (1-2) calculates the mean ...

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 driver fatigue detection method based on a rough set and a D-S evidence theory. The method mainly includes the steps of using a sensor to collect data including a heart rate,pulses, an oxyhemoglobin saturation and breath signals to construct primary fatigue feature parameters; adopting a rough set property simplification method to extract the optimal fatigue feature parameter, using the fatigue feature parameters to create a fatigue property decision table, carrying out data discretization on the fatigue decision table, creating a differential matrix to perform property simplification, and correspondingly creating a fatigue decision set; after data output by the decision set is subjected to normalization processing, adopting a fuzzy neural network for being fusedwith the D-S theory, and making a decision on a driver fatigue result. According to the physiological features of the human body, an intelligent information processing method is combined to recognizethe fatigue features of a car driver, the method has obvious social and economic benefits and a significant meaning on reduction of traffic accidents caused by fatigue driving.

Description

technical field [0001] The invention relates to a driver fatigue detection method based on D-S evidence theory. Background technique [0002] One of the main reasons why people's lives are endangered in most countries in the world is traffic accidents, and the number of deaths caused by traffic accidents is no less than 500,000 every year. Among the many factors that lead to traffic accidents, fatigue driving is the number one "killer", especially in the major traffic accidents on expressways, the proportion of accidents caused by fatigue driving is more than 40%. According to the statistical analysis of the annual traffic accidents by the U.S. Highway Traffic Safety Administration, there are at least 100,000 traffic accidents caused by driver fatigue during driving each year. Among the traffic accidents in Germany, accidents caused by fatigue driving account for 14.9% of personal injury accidents and 20.6% of fatal accidents. According to the accident statistics of the tr...

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): A61B5/0205A61B5/145A61B5/18
CPCA61B5/02A61B5/0205A61B5/024A61B5/08A61B5/14542A61B5/18A61B5/7264A61B2503/10
Inventor 祁宇明王云磊邓三鹏蒋永翔李柯宋青山王帅郝帅李佳玉
Owner TIANJIN UNIV OF TECH & EDUCATION TEACHER DEV CENT OF CHINA VOCATIONAL TRAINING & GUIDANCE
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com