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

Eye state identification device and eye state identification method based on infrared detection

An eye state and infrared detection technology, applied in the field of image recognition, can solve the problems of slow response speed, high implementation cost, large calculation amount, etc., and achieve the effect of low cost, good real-time performance and small amount of calculation.

Active Publication Date: 2015-10-28
CHINA THREE GORGES UNIV
View PDF7 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

All of the above methods can perform non-contact detection of human eyes, but the technology is relatively complicated, the amount of calculation is large, the recognition speed depends on the operation speed of the image processing chip, the response speed is slow, the volume is large, and the implementation cost is high

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
  • Eye state identification device and eye state identification method based on infrared detection
  • Eye state identification device and eye state identification method based on infrared detection
  • Eye state identification device and eye state identification method based on infrared detection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] Principle analysis:

[0031] If the luminous intensity of the infrared light source is I, it is the luminous flux of the light source per unit solid angle. The area of ​​the infrared light source is S, the distance to the eye is r, the irradiated area of ​​the eye is S', and the irradiated area of ​​the eyelid is assumed to be S L ', the irradiated area of ​​the cornea is S J ', S'=S L '+S J '. The reflectivity of the eyelid and the cornea to infrared light is different, and the reflectance of the eyelid is R L , the corneal reflectance is R J , both of them are regarded as approximate cosine radiators, the light intensity received by the infrared receiver is:

[0032] E = ∫ S L ′ ∫ S R L sin 2 U × Ids ...

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

An eye state identification device and an eye state identification method based on infrared detection are provided. The eye state identification device comprises an infrared transmitting module and an infrared receiving module which are arranged around an eye. The infrared transmitting module and the infrared receiving module are connected with a single chip microcomputer module, and the single chip microcomputer module is connected with a positioning module. The single chip microcomputer module is further connected with a communication module and an alarm module. According to the eye state identification device and the eye state identification method based on infrared detection, the eye movement is monitored by transmitting infrared light actively and detecting the intensity of reflected light in different eye positions based on the fact that different optical surfaces have different reflectivity to infrared light. The device and the method have the characteristics of simple structure, small size, a small amount of calculation, and good real-time performance.

Description

technical field [0001] The invention relates to an image recognition method, in particular to an eye state recognition device and method based on infrared detection. Background technique [0002] At present, there have been a variety of detection methods to detect whether the subject is conscious and early warning, such as: behavioral characteristics (head movement, eye movement, gaze direction, etc.), physiological parameters (electroencephalogram, electrocardiogram, respiratory status, muscle activity, etc.) detection to judge the state of consciousness of people. Among these detection parameters, eye movement is the most widely used feature, and the recognition of eye state can be used to judge the level of consciousness. There are various detection methods for eye movements or states. The PERCLOS algorithm measures and detects the state of the eyes, such as pupil diameter, gaze, eye movement, and the length of time when the eyes are closed. Iris recognition is to use ...

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 何慧灵戴后清韩龙飞郑胜潘礼庆
Owner CHINA THREE GORGES UNIV
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