Unlock instant, AI-driven research and patent intelligence for your innovation.

Driver fatigue detecting method based on head gestures and eye movement

A driver fatigue and head posture technology, applied in the field of human-computer interaction, can solve driver fatigue and other problems, and achieve the effect of unconstrained detection of driver fatigue

Inactive Publication Date: 2018-12-21
SOUTH CHINA NORMAL UNIVERSITY
View PDF6 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, in order to solve the above-mentioned problems in the prior art, the present invention provides a driver fatigue detection method based on head posture and eye movement, in order to solve the problem of real-time monitoring of drivers in the field of non-intrusive human-computer interaction technology. fatigue problem

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 detecting method based on head gestures and eye movement
  • Driver fatigue detecting method based on head gestures and eye movement
  • Driver fatigue detecting method based on head gestures and eye movement

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] Such as figure 1 As shown, a driver fatigue detection method based on head posture and eye movement includes the following steps:

[0042] Step 1, acquiring an image sequence through a non-invasive image acquisition unit;

[0043] The face image acquisition unit is a camera set near the monitoring screen observed by the user, and is used to capture the user's face area. The user does not need to wear any auxiliary acquisition device (non-invasive), and the image used by the user in real time is collected through the camera, and converted It is a 256-level grayscale image.

[0044] The camera lens of the present invention is provided with an infrared filter, which can filter out the visible light band and retain the infrared band. The camera photosensitive element CCD or CMOS can be sensitive to the infrared band. Near the camera lens, an array of infrared LED light sources is arranged in a ring shape. According to the needs of the real environment, the brightness of...

Embodiment 2

[0050] In the embodiment of the present invention, although only one camera and one infrared LED light source are needed to complete image sampling, in order to obtain higher image signal quality, a multi-light source and multi-camera system can be used for division of labor and matching. Such as Image 6 As shown, it is another embodiment of the non-intrusive image acquisition unit. This embodiment provides a solution. The camera 1 is equipped with an infrared LED light source for shooting a wide scene and capturing a human face; the camera 2 and the camera 3 are used for shooting High-definition images of the eye area, and infrared LED light sources are installed in the upper left and upper right corners of the interactive screen.

[0051]Step 2. Based on the image sequence, in each frame of the image sequence, detect the face feature point image information and the eye region image information;

[0052] Step 3. Based on the feature points of the face in the image, analyze ...

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 detecting method based on head gestures and eye movement. The method comprises the following steps of obtaining an image sequence; detecting facial feature points and eye region image information; analyzing facial feature points to solve head gestures, and analyzing eye region image information to obtain an eye movement vector; calculating the head gestureattitude angle and eye movement vector offset safety threshold value time; monitoring the driving state of a driver in real time. According to the driver fatigue detecting method based on head gestures and eye movement, on the basis of the physiologic habit of people observed objects, the head gesture and eye movement are adopted as effective watching information, and the human face direction is adopted as the reference watching direction; the method needs to calibration step, no head movement compensation is needed, and real unrestraint driver fatigue detection can be achieved.

Description

technical field [0001] The invention relates to the field of human-computer interaction technology, in particular to a driver fatigue detection method based on head posture and eye movement. Background technique [0002] With the development of economy and society, motor vehicles have become one of the most important modes of travel. At the same time, the rapid increase of traffic accidents is inevitable. Fatigue driving is an important reason for the continuous increase of traffic accidents, and it is also a major traffic safety hazard that can be warned in advance through technical means. According to statistics, the casualties caused by fatigue driving are no less than that of drunk driving. At present, the inattention state caused by the driver's own fatigue state will cause serious casualties and accidents to occur frequently. Therefore need a kind of device that can detect driver's fatigue condition in real time, and can give an early warning, this will be the effect...

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): A61B5/11A61B5/18G06K9/00
CPCA61B5/1116A61B5/165A61B5/18A61B2503/22G06V40/171G06V40/18G06V20/597
Inventor 韩鹏林林庆邱健彭力骆开庆
Owner SOUTH CHINA NORMAL UNIVERSITY