Feedback type fatigue detecting system

A fatigue detection and feedback technology, applied to instruments, alarms, etc., can solve the problem of high error rate, achieve the effects of avoiding false alarms, high accuracy, and eliminating the possibility of false detection

Inactive Publication Date: 2011-02-09
庄力可 +3
View PDF5 Cites 31 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] The purpose of the present invention is to provide a feedback type fatigue detection system to solve the problem that the existing fatigue detection system has a high error rate

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
  • Feedback type fatigue detecting system
  • Feedback type fatigue detecting system
  • Feedback type fatigue detecting system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0050] See figure 2 , this feedback type fatigue detection system, its sensing module 100 comprises image sensing unit 101, and its fatigue detection module 200 comprises the fatigue detection unit 201 of recognition motion, and the fatigue detection unit 201 of recognition motion is respectively connected with image sensing unit 101 and voice The alarm is connected to the feedback module 300 .

[0051] In this embodiment, the input of the image sensing unit 101 is the optical signal of the face image, and the output is the digitized face image. The image sensing unit 101 may use a near-infrared camera image sensor, and the camera can still normally acquire face images in a night vision environment. After the system collects the face image through the image sensing unit 101, it outputs it to the fatigue detection unit 201 for recognizing actions.

[0052] The fatigue detection unit 201 for recognizing actions has two inputs: continuous digital images of faces from the image...

Embodiment 2

[0059] See Figure 5 , this feedback type fatigue detection system, its sensing module 100 comprises voice sensing unit 102, and its fatigue detection module 200 comprises the fatigue detection unit 202 of calculating voice energy, the fatigue detection unit 202 of calculating voice energy is connected with voice sensing unit 102 respectively And the voice alarm is connected with the feedback module 300.

[0060] The voice sensing unit 102 is actually a miniature microphone, which is the same as the microphone used in ordinary mobile phones. The voice sensing unit 102 collects analog voice signals in the environment, converts them into digital signals (waveforms), and inputs them to the fatigue detection unit 202 for calculating voice energy.

[0061] The starting point of the design of this embodiment is to try to form a voice interaction with the driver, and determine whether the driver is in a state of fatigue based on whether the interaction fails. The fatigue detection ...

Embodiment 3

[0070] See Image 6 , this feedback type fatigue detection system, its sensing module 100 comprises voice sensing unit 102, and its fatigue detection module 200 comprises the fatigue detection unit 203 of recognition speech content, the fatigue detection unit 203 of recognition speech content and speech sensing unit 102 respectively And the voice alarm is connected with the feedback module 300.

[0071] Like the fatigue detection unit 202 that calculates voice energy, the input of the fatigue detection unit 203 that recognizes voice content is the voice signal collected by the voice sensing unit 102 and the feedback information from the voice alarm and feedback module 300 . It is also determined whether the driver is in a state of fatigue based on whether the interaction fails. The difference is that the basis of this embodiment is the interaction based on voice content.

[0072] The fatigue detection unit 203 that recognizes voice content utilizes voice recognition technolo...

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 provides a feedback type fatigue detecting system which is characterized by comprising a sensing module, a fatigue detecting module and a sound alarm and feedback module, wherein the sensing module is used for collecting an image optical signal and/or a sound signal from a driver; the fatigue detecting module is connected with the sensing module and is used for judging the fatigue state of the driver according to the collected image optical signal and/or the sound signal; and the sound alarm and feedback module is connected with the fatigue detecting module and is used for sending out a sound alarm signal and a sound interactive signal according to the fatigue state of the driver and feeding the related information of the sound interactive signal back to the fatigue detecting module as a reference standard for judging the fatigue state of the driver. The feedback type fatigue detecting system has high accuracy for fatigue detection of the driver and can effectively avoid generating false alarm and leakage alarm.

Description

technical field [0001] The invention relates to the field of vehicle safety and monitoring control, in particular to a feedback type fatigue detection system. Background technique [0002] Fatigue driving is one of the important hidden dangers of today's traffic safety. When the driver is tired, his ability to perceive the surrounding environment, the ability to judge the situation and the ability to control the vehicle all decline to varying degrees, so traffic accidents are prone to occur. The detection and early warning technology of safety status such as driver fatigue and attention distraction has been highly valued by various countries due to its development prospects in traffic accident prevention. Research. The detection methods of driver fatigue state can be roughly divided into four detection methods based on driver's operation behavior, based on vehicle state information, based on driver's physiological signal, and based on driver's physiological response charac...

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 翁时锋庄力可
Owner 庄力可
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