Eye fatigue identification method based on large data and intelligent eyeglasses of the same

A technology of smart glasses and recognition methods, which is applied in glasses/goggles, equipment for testing eyes, medical science, etc., and can solve problems such as not having eye fatigue recognition functions

Inactive Publication Date: 2017-08-18
HARBIN UNIV OF SCI & TECH
View PDF6 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, glasses have become one of the necessary tools in our life, such as nearsighted glasses, farsighted glasses, sunglasses, etc., but none of the existing glasses has the function of eye fatigue recognition

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 fatigue identification method based on large data and intelligent eyeglasses of the same
  • Eye fatigue identification method based on large data and intelligent eyeglasses of the same
  • Eye fatigue identification method based on large data and intelligent eyeglasses of the same

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0022] Such as figure 1 As shown, it is a schematic diagram of the main body structure of a kind of smart glasses in the embodiment of the present invention. refer to figure 1 , The main structure of the smart glasses includes lenses, frames, and temples, and an intelligent control system arranged on the main structure of the glasses. Described intelligent control system comprises the installation position of each intelligent module: eyeglass l...

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 relates to an eye fatigue identification method based on large data and intelligent eyeglasses of the same. The main body structure of the intelligent eyeglasses comprises an eyeglasses frame, lenses, eyeglasses legs, and an intelligent control system arranged on the main body structure of the eyeglasses. The intelligent control system comprises a light ray / distance detection module arranged on the eyeglasses frame, a power module embedded in the eyeglasses legs, a visual angle detection module, an action module, a communication module, an ARM microprocessor module and pervious to light adjustable lenses. The eye fatigue identification method based on large data in real time collects comprehensive weight values of four data indexes which are visual angles of eyes, ranges of visibility, light intensity and time of using eyes to recognize a fatigue state of eyes through the communication module. The intelligent eyeglasses are connected with the corresponding App through the communication module and have the aid of the background Internet big data to analyze and calculate health indexes of eye fatigue. The eye fatigue identification method based on large data and intelligent eyeglasses of the same effectively overcome the difficulty of eye fatigue identification and improve people's understanding of eye health through scientific and intuitive data information.

Description

technical field [0001] The invention relates to the technical field of intelligent hardware, in particular to a method for identifying eye fatigue based on big data and smart glasses thereof. Background technique [0002] Eye fatigue is a common condition, and this symptom directly affects people's study, work and life along with dry eyes, eye astringency, eye soreness and even low vision. Eye fatigue is mainly due to people’s bad habit of using eyes, so that the eyes are myopic early. All age groups are accompanied by this symptom, which seriously affects the quality of study, work and life. The main cause of the problem is that there is no convenient and feasible personal eye. Habitual restraint system, the vast majority of people lack sufficient understanding of eye hygiene and eye protection, so that the eyes cause various ophthalmic diseases due to excessive fatigue, and the gain outweighs the gain. [0003] At present, glasses have become one of the necessary tools in...

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): G02C11/00A61B3/10
CPCG02C11/10A61B3/10
Inventor 黄玲宁超毛毳
Owner HARBIN UNIV OF SCI & TECH
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