Monitoring and early-warning method and system for fatigue driving

A fatigue driving and early warning system technology, applied to alarms, instruments, etc., can solve the problems of inability to judge the driver's subjective actions and high misjudgment rate, and achieve the effects of diverse early warning functions, low misjudgment rate, and invigorating the spirit

Active Publication Date: 2016-06-15
重庆医之舟信息科技有限公司
View PDF7 Cites 31 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This system is simple and easy to implement, but has a high misjudgment rate and cannot judge the driver's subjective actions

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
  • Monitoring and early-warning method and system for fatigue driving
  • Monitoring and early-warning method and system for fatigue driving

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0036] figure 1 It is a structural schematic diagram of the fatigue driving monitoring and early warning system. As shown in the figure, the system includes an EEG signal acquisition and analysis module 1, an acceleration acquisition module 2, a main control module 3, a wireless transmission module 4 and an early warning module 5.

[0037] Wherein, the EEG signal acquisition and analysis module 1 includes an EEG signal acquisition module 11 and an EEG signal analysis module 12 ; the early warning module 5 includes an acoustic early warning module 51 , an optical early warning module 52 and an electrical early warning module 53 .

[0038] The functions of each module are as follows:

[0039] The electroencephalogram acquisition module 11 includes reference electrodes and signal electrodes, and uses a dual-electrode system to collect the dri...

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, which belongs to the technical field of fatigue driving detection, relates to a monitoring and early-warning method and system for fatigue driving. The system is composed of an EEG signal acquisition and analysis module, an acceleration acquisition module, a main control module, a wireless transmission module and an early warning module. An EEG signal and an acceleration signal are collected simultaneously; the EEG signal acquisition and analysis module processes and calculates the EEG signal and sends an attention feature value and winking intensity information to the main control module; the main control module processes and calculates acceleration data to obtain a head motion situation; according to the three parameters of the attention feature value, winking intensity information, and head motion, the main control module determines whether a drive is in a fatigue state; if so, a fatigue level is graded based on the parameter values; the early warning module carries out corresponding early warning in acoustic, optical, electric modes based on the fatigue level; and the wireless transmission module can transmit the driving state of the driver to an intelligent terminal, a vehicle-mounted network, and a cloud terminal. According to the invention, on the basis of combination of the EEG signal and the acceleration signal, fatigue driving is monitored in a combined way. Therefore, the detection success rate is high; the early warning ways are diversified; the feedback mechanism is effective; and because of combination with the internet of things, the good practical effect is realized.

Description

technical field [0001] The invention belongs to the technical field of fatigue driving detection, and relates to a method and system for monitoring and early warning of fatigue driving, in particular to a method and system for monitoring and early warning of fatigue driving based on electroencephalogram signals and head movements. Background technique [0002] With the rapid development of social economy, the number of cars has also increased rapidly, and at the same time, traffic accidents have gradually increased. According to the research analysis of the World Health Organization in 2009, 37.91% of traffic accidents were caused by fatigue driving. Fatigue driving has become an important factor in traffic accidents, seriously threatening people's lives and property safety. Therefore, fast, real-time, and effective detection of fatigue driving status and an early warning signal to the driver will effectively reduce the probability of traffic accidents. [0003] Fatigue dr...

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
CPCG08B21/06
Inventor 李章勇黄俊骁林金朝夏爽庞宇冉鹏王岫鑫刘圣蓉王伟
Owner 重庆医之舟信息科技有限公司
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