A real-time monitoring and early warning method and system for rail train driver status based on kinect

A technology for driver status and rail trains, applied in pulse rate/heart rate measurement, diagnostic recording/measurement, speech analysis, etc., can solve the problem of lack of error correction mechanism and feedback mechanism, and achieve the effect of avoiding false detection

Active Publication Date: 2018-02-06
CENT SOUTH UNIV
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although this method can reduce misjudgment by drivers to a certain extent, it lacks an error correction mechanism and a feedback mechanism, and cannot fundamentally eliminate misjudgment.

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
  • A real-time monitoring and early warning method and system for rail train driver status based on kinect
  • A real-time monitoring and early warning method and system for rail train driver status based on kinect

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The present invention will be further described below in conjunction with accompanying drawings and examples.

[0047] like figure 1 Shown, a kind of real-time monitoring early warning method of the rail train driver state based on Kinect comprises the following steps:

[0048] Step 1: Utilize the Kinect sensor array arranged in front of the cab to collect the working status information of the rail train driver;

[0049] The track train driver's working status information includes track train driver color image data, depth data, bone image data and voice data;

[0050] Step 2: Carry out data processing to the rail train driver's working state information;

[0051] Carry out the heart rate detection of the rail train driver on the collected color image of the rail train driver;

[0052] Extract facial features from the collected color images of rail train drivers, use the Euler video amplification method, read the RGB representative pixels of each frame of facial feat...

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 Kinect-based real-time monitoring and early warning method and system for the status of rail train drivers. The method cleverly arranges the Kinect sensor, comprehensively utilizes various detection functions of the Kinect sensor, and uses only one Kinect sensor. Realized multiple functions of train start detection, driver heart rate monitoring, fatigue monitoring, and misjudgment monitoring, using color image data, depth data, bone image data and voice data acquired by the Kinect sensor for data processing; fusion and use of various detection data , combined with the method of fusion of rail train driver voice information, driver gesture information, and train command signal information, directly prevent the driver from misjudging the signal and command from the technical solution; the system is simple in structure, easy to operate, and greatly reduces The cost of the monitoring and early warning system is reduced, and it has accurate monitoring and early warning effects.

Description

technical field [0001] The invention belongs to the field of rail traffic control, in particular to a Kinect-based real-time monitoring and early warning method and system for the state of rail train drivers. Background technique [0002] During the train running, the physiological state of the train driver has a great influence on the safe operation of the train. The physiological state of train drivers mainly includes physiological health state and fatigue state. According to the Statistical Yearbook of Traffic Accidents, about 15-20% of railway traffic accidents are related to driver fatigue. Fatigue driving seriously affects the alertness, adaptability and safe driving ability of train drivers. In order to prevent the safety hazards of rail trains caused by fatigue driving, there is a button under the driver's foot in the cab, which requires the driver to step on it once within a certain period of time. Once the specified time is exceeded, the button will issue a warnin...

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 Patents(China)
IPC IPC(8): A61B5/18A61B5/0205A61B5/11G06K9/62G06K9/00G10L15/22G10L15/26
CPCA61B5/0205A61B5/024A61B5/11A61B5/1103A61B5/1128A61B5/18G10L15/22G10L15/26A61B5/6893A61B5/746G10L2015/223G06V40/16G06V40/113G06V40/193G06V20/597G06F18/2135G06F18/214
Inventor 刘辉李燕飞
Owner CENT SOUTH UNIV
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