CN107730834A - A kind of antifatigue Intelligent worn device being combined based on attitude detection with image recognition - Google Patents
A kind of antifatigue Intelligent worn device being combined based on attitude detection with image recognition Download PDFInfo
- Publication number
- CN107730834A CN107730834A CN201710689197.8A CN201710689197A CN107730834A CN 107730834 A CN107730834 A CN 107730834A CN 201710689197 A CN201710689197 A CN 201710689197A CN 107730834 A CN107730834 A CN 107730834A
- Authority
- CN
- China
- Prior art keywords
- picture frame
- control chip
- antifatigue
- image recognition
- worn device
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/06—Alarms for ensuring the safety of persons indicating a condition of sleep, e.g. anti-dozing alarms
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1116—Determining posture transitions
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1126—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique
- A61B5/1128—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique using image analysis
-
- G—PHYSICS
- G02—OPTICS
- G02C—SPECTACLES; SUNGLASSES OR GOGGLES INSOFAR AS THEY HAVE THE SAME FEATURES AS SPECTACLES; CONTACT LENSES
- G02C11/00—Non-optical adjuncts; Attachment thereof
- G02C11/10—Electronic devices other than hearing aids
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
- G06V10/267—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/59—Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
- G06V20/597—Recognising the driver's state or behaviour, e.g. attention or drowsiness
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
Abstract
The invention discloses a kind of antifatigue Intelligent worn device being combined based on attitude detection with image recognition, a camera is installed on the right side of picture frame front end, and the IMAQ end of camera is towards in picture frame, one attitude transducer is installed in picture frame at center, both sides are provided with SMD vibrating motor and buzzer siren in picture frame, the second control chip is installed on the left of picture frame, right side is provided with the first control chip and 1.4 cun of liquid crystal display, the input of first control chip is connected with camera, output end and SMD vibrating motor, 1.4 cun of liquid crystal display is connected, the input attitude transducer of second control chip is connected, output end is connected with buzzer siren.The present invention can both realize that detection wearer's posture and its eye open the degree of closing, and the information that Treatment Analysis collects simultaneously judges whether wearer is in fatigue state, and the function such as respond, and do not interfere with aesthetics again, meet the needs of user as far as possible.
Description
Technical field
The present invention relates to a kind of wearable device, and in particular to it is a kind of be combined based on attitude detection with image recognition it is anti-tired
Labor Intelligent worn device.
Background technology
With developing rapidly for microelectric technique, the volume of electronic equipment is less and less, and in the market emerges substantial amounts of intelligence
Can wearable device, applied to every field such as human body monitoring, virtual reality, motion auxiliary, the function of various kinds of equipment is also more
It is careful specific.
Present society is the epoch of a pursuit efficiency, and the pressure of people is also continuously increased, stay up late overtime work, fatigue driving
Phenomenon turns into a kind of common fault of society.Health is no doubt important, but in order to pursue higher efficiency, people have no alternative by sacrificial
The time of having a rest of domestic animal oneself completes the task that oneself should be completed.But tired meaning, doze efficiently complete oneself as people
Task and work one obstruction reason, such as present student because drowsiness and miss the explanation of teacher's course, driver because
Fatigue driving meets with accident and loss of life, more has overtime work race because oneself self-control does not enough complete the important work of oneself also
Just fallen asleep in the case of work.
The content of the invention
To solve the above problems, the invention provides a kind of antifatigue intelligence being combined based on attitude detection with image recognition
Can wearable device, can both realize that detection wearer's posture and its eye open the degree of closing, the information that Treatment Analysis collects
And judge whether wearer is in fatigue state, and the function such as respond, aesthetics is not interfered with again, meets to make as far as possible
The demand of user.
To achieve the above object, the technical scheme taken of the present invention is：
A kind of antifatigue Intelligent worn device being combined based on attitude detection with image recognition, including picture frame and and mirror
The connected mirror holder in frame both ends, is provided with a camera on the right side of the picture frame front end, and the IMAQ end of camera is towards picture frame
It is interior, an attitude transducer is installed, both sides are provided with SMD vibrating motor and honeybee in the picture frame in the picture frame at center
Ring alarm, is provided with the second control chip on the left of the picture frame, right side is provided with the first control chip and 1.4 cun of liquid crystal
Screen, the input of the first control chip are connected with camera, and output end is connected with SMD vibrating motor, 1.4 cun of liquid crystal display,
The input attitude transducer of second control chip is connected, and output end is connected with buzzer siren, in first control chip
Provided with image processing module, image processing module uses integration method, carries out binaryzation to the image of camera collection first, then
The black pixel point of eyes region is integrated, judges the closure journey of human eye by judging the number of black pixel point
Degree；Attitude transducer reading process module is provided with second control chip, attitude transducer reading process module is using string
Mouthful read and to measure the angle of pitch of head part inside it to judge whether people is tired.
Preferably, described 1.4 cun of liquid crystal display is provided with a five axle buttons, and user can adjust two by the button
Value threshold value, to realize that image is optimal, while judgment threshold can be adjusted according to the size of oneself eye, to realize the state of people
Accurately identify.
Preferably, the camera uses OV7725 cameras, and the attitude transducer is passed using the axle postures of MPU6050 six
Sensor.
Preferably, first control chip uses K60FN family chips, and second control chip uses
STM32F103ZET6 chips.
Preferably, in addition to a power supply module, including battery and voltage stabilizing chip, battery use model plane 7.4V lithium batteries, surely
Pressure chip uses two kinds of models of LM1117-3.3 and LM1117-5.
Preferably, the picture frame is integrally formed with mirror holder, and using 3D printing technique, material is photosensitive resin.
The invention has the advantages that：
The present invention can realize obtaining for body state by the collection of opening and closing situation and human body sitting posture situation to eyes
Take, when the data of acquisition reach setting value, can be very good to remind people, it is achieved thereby that the function of resisting fatigue, will take the photograph
It is fixed to as head on the glasses of people, the position of such camera is fixed with the position of people's glasses, so no matter the head of people
How dynamic portion is can detect people's glasses open the degree of closing.So avoid as other recognitions of face or eyeball identification equipment by
In with human body not geo-stationary and the problem of especially complex recognizer；, can be with real-time display by the setting of LCDs
The binary image of eye, there are a five axle buttons on display screen, user can adjust binary-state threshold by the button,
To realize that image is optimal, while judgment threshold can be adjusted according to the size of oneself eye, to realize the state for accurately identifying people.
Clear-eyed people is not only suitable for, is also applied for myopia population.Only need to select different eyeglass cans, so applied widely.
Brief description of the drawings
Fig. 1 is a kind of antifatigue Intelligent worn device being combined based on attitude detection with image recognition of the embodiment of the present invention
Structural representation.
Fig. 2 is a kind of antifatigue Intelligent worn device being combined based on attitude detection with image recognition of the embodiment of the present invention
Module connection diagram.
Fig. 3 is a kind of antifatigue Intelligent worn device being combined based on attitude detection with image recognition of the embodiment of the present invention
Workflow diagram.
Embodiment
In order that objects and advantages of the present invention are more clearly understood, the present invention is carried out with reference to embodiments further
Describe in detail.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not used to limit this hair
It is bright.
As Figure 1-Figure 2, resisted the embodiments of the invention provide a kind of based on attitude detection with what image recognition was combined
Tired Intelligent worn device, including picture frame 1 and the mirror holder 4 that is connected with the both ends of picture frame 1, it is provided with the right side of the front end of picture frame 1
One camera 3, and the IMAQ end of camera 3 is provided with posture sensing towards in picture frame 1 at center in the picture frame 1
Device 2, both sides are provided with SMD vibrating motor 6 and buzzer siren in the picture frame 1, and the left side of picture frame 1 is provided with second
Control chip 5, right side are provided with the first control chip 7 and 1.4 cun of liquid crystal display, the input of the first control chip 7 and shooting
First 3 are connected, and output end is connected with the liquid crystal display of SMD 6,1.4 cun of vibrating motor, the input posture of the second control chip 5
Sensor 2 is connected, and output end is connected with buzzer siren, and first control chip 7 is interior to be provided with image processing module, at image
Reason module uses integration method, binaryzation is carried out to the image of camera collection first, then to the black picture of eyes region
Vegetarian refreshments is integrated, and judges the closure degree of human eye by judging the number of black pixel point；In second control chip 5
Provided with attitude transducer reading process module, attitude transducer reading process module is read using serial ports measures head part inside it
The angle of pitch judge whether people tired.
Described 1.4 cun of liquid crystal display is provided with a five axle buttons, and user can adjust binaryzation threshold by the button
Value, to realize that image is optimal, while judgment threshold can be adjusted according to the size of oneself eye, to realize the accurate of the state of people
Identification.
The camera uses OV7725 cameras, and the attitude transducer uses the axle attitude transducers of MPU6050 six.
First control chip uses K60FN family chips, and second control chip uses STM32F103ZET6 cores
Piece.
Also include a power supply module, including battery and voltage stabilizing chip, battery uses model plane 7.4V lithium batteries, and voltage stabilizing chip is adopted
With two kinds of models of LM1117-3.3 and LM1117-5.
The picture frame 1 is integrally formed with mirror holder 4, and using 3D printing technique, material is photosensitive resin.
Originally it is embodied in image recognition, calls built-in function first by the image decompression after OV7725 camera binaryzations
Into 60*80 two-dimensional array, the value inside array：255 represent white, and 0 represents black, and so by traveling through array, image is carried out
Identification.Because camera is arranged on the positive side of eyes, there is obvious color in the skin of the black of eyes, the white of the eye and surrounding
Color difference, as shown in figure 3, so camera binary-state threshold is adjusted suitably, you can eyeball and surrounding skin are distinguished.Eye
For eyeball in when opening state, the profile of eyeball is presented in the center of image；During in closure state, eyelash make it that picture centre is in
An existing black-tape.Due to opening eyes, eye closing picture black region area difference is huge, so in recognizer, it is main using meter
Number is black, the method for white pixel points.In program realization, according to image size, further determine that traversal range program is contracted to
40*70 array, the region is traveled through, count black, white region area.According to eyes size in practice, given threshold, work as black
When area is less than the threshold value, it is determined as closed-eye state, is otherwise eyes-open state.When people's fatigue is blinked, eyes are opened by being closed into
The time opened is elongated compared with normal condition.The time about 0.3-0.4s of normal blink once, so being closed when detecting that eyes are in
During conjunction state, into one section of 800ms delay, when delay terminates, eyes closed state is detected again, if still in closure,
It is determined as fatigue state, is otherwise determined as normal condition.
As described in Figure 3, this specific implementation is in use, oneself eye that wearer can be shown by observing on LCD screen
Binary image can adjust binary-state threshold and judgment threshold by the button below screen.After adjusting, work as user
After eyes close a period of time, fatigue will be judged as, now the paster vibrating motor installed in two legs of spectacles will vibrate,
After user's eyes are opened, vibrating motor stops vibration.When head part lean forward or swing back 20~30 degree when, buzzer can ring, with
Watchful user, except the effect of a correcting sitting postures can be also functioned to antifatigue.
Described above is only the preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications also should
It is considered as protection scope of the present invention.
Claims (6)
1. a kind of antifatigue Intelligent worn device being combined based on attitude detection with image recognition, including picture frame (1) and with
The connected mirror holder (4) in picture frame (1) both ends, it is characterised in that be provided with a camera (3) on the right side of picture frame (1) front end, and take the photograph
The IMAQ end of picture head (3) is interior towards picture frame (1), and the picture frame (1) is provided with an attitude transducer (2), institute at interior center
State picture frame (1) interior both sides and SMD vibrating motor (6) and buzzer siren are installed, second is provided with the left of the picture frame (1)
Control chip (5), right side are provided with the first control chip (7) and 1.4 cun of liquid crystal display, the input of the first control chip (7)
It is connected with camera (3), output end is connected with SMD vibrating motor (6), 1.4 cun of liquid crystal display, the second control chip (5)
Input attitude transducer (2) is connected, and output end is connected with buzzer siren, and image is provided with first control chip (7)
Processing module, image processing module use integration method, binaryzation are carried out to the image of camera collection first, then to eyes institute
Black pixel point in region is integrated, and judges the closure degree of human eye by judging the number of black pixel point；It is described
Attitude transducer reading process module is provided with second control chip (5), attitude transducer reading process module is read using serial ports
Take and the angle of pitch of head part is measured inside it to judge whether people is tired.
2. a kind of antifatigue Intelligent worn device being combined based on attitude detection with image recognition as claimed in claim 1,
Characterized in that, described 1.4 cun of liquid crystal display is provided with a five axle buttons, user can adjust binaryzation by the button
Threshold value, to realize that image is optimal, while judgment threshold can be adjusted according to the size of oneself eye, to realize the standard of the state of people
Really identification.
3. a kind of antifatigue Intelligent worn device being combined based on attitude detection with image recognition as claimed in claim 1,
Characterized in that, the camera uses OV7725 cameras, the attitude transducer is sensed using the axle postures of MPU6050 six
Device.
4. a kind of antifatigue Intelligent worn device being combined based on attitude detection with image recognition as claimed in claim 1,
Characterized in that, first control chip uses K60FN family chips, second control chip uses
STM32F103ZET6 chips.
5. a kind of antifatigue Intelligent worn device being combined based on attitude detection with image recognition as claimed in claim 1,
Characterized in that, also include a power supply module, including battery and voltage stabilizing chip, battery use model plane 7.4V lithium batteries, voltage stabilizing core
Piece uses two kinds of models of LM1117-3.3 and LM1117-5.
6. a kind of antifatigue Intelligent worn device being combined based on attitude detection with image recognition as claimed in claim 1,
Characterized in that, the picture frame (1) is integrally formed with mirror holder (4), using 3D printing technique, material is photosensitive resin.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710689197.8A CN107730834A (en) | 2017-08-07 | 2017-08-07 | A kind of antifatigue Intelligent worn device being combined based on attitude detection with image recognition |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710689197.8A CN107730834A (en) | 2017-08-07 | 2017-08-07 | A kind of antifatigue Intelligent worn device being combined based on attitude detection with image recognition |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107730834A true CN107730834A (en) | 2018-02-23 |
Family
ID=61205188
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710689197.8A Pending CN107730834A (en) | 2017-08-07 | 2017-08-07 | A kind of antifatigue Intelligent worn device being combined based on attitude detection with image recognition |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107730834A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110310458A (en) * | 2019-05-29 | 2019-10-08 | 中国安全生产科学研究院 | A kind of driver for identification whether the sunglasses and method of fatigue driving |
| CN111696312A (en) * | 2019-03-14 | 2020-09-22 | 本田技研工业株式会社 | Passenger observation device |
| CN114265689A (en) * | 2021-12-08 | 2022-04-01 | 仲恺农业工程学院 | Unmanned aerial vehicle-mounted four-waveband spectrum remote sensing camera and working method thereof |
| CN115047624A (en) * | 2022-05-24 | 2022-09-13 | 北京领为军融科技有限公司 | Intelligent glasses control system |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102324166A (en) * | 2011-09-19 | 2012-01-18 | 深圳市汉华安道科技有限责任公司 | Fatigue driving detection method and device |
| CN102346842A (en) * | 2010-07-26 | 2012-02-08 | 比亚迪股份有限公司 | Human eye state detection method and device |
| CN104091411A (en) * | 2014-07-31 | 2014-10-08 | 杭州士兰微电子股份有限公司 | Anti-sleepiness device and anti-sleepiness glasses |
| CN204028500U (en) * | 2014-07-01 | 2014-12-17 | 马天驰 | Fatigue driving alarm glasses with function |
| US20160314674A1 (en) * | 2015-04-23 | 2016-10-27 | Wichita State University | Vehicle operator impairment detection system and method |
| CN106530623A (en) * | 2016-12-30 | 2017-03-22 | 南京理工大学 | Fatigue driving detection device and method |
| CN106965675A (en) * | 2017-04-26 | 2017-07-21 | 华迅金安（北京）科技有限公司 | A kind of lorry swarm intelligence safety work system |
-
2017
- 2017-08-07 CN CN201710689197.8A patent/CN107730834A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102346842A (en) * | 2010-07-26 | 2012-02-08 | 比亚迪股份有限公司 | Human eye state detection method and device |
| CN102324166A (en) * | 2011-09-19 | 2012-01-18 | 深圳市汉华安道科技有限责任公司 | Fatigue driving detection method and device |
| CN204028500U (en) * | 2014-07-01 | 2014-12-17 | 马天驰 | Fatigue driving alarm glasses with function |
| CN104091411A (en) * | 2014-07-31 | 2014-10-08 | 杭州士兰微电子股份有限公司 | Anti-sleepiness device and anti-sleepiness glasses |
| US20160314674A1 (en) * | 2015-04-23 | 2016-10-27 | Wichita State University | Vehicle operator impairment detection system and method |
| CN106530623A (en) * | 2016-12-30 | 2017-03-22 | 南京理工大学 | Fatigue driving detection device and method |
| CN106965675A (en) * | 2017-04-26 | 2017-07-21 | 华迅金安（北京）科技有限公司 | A kind of lorry swarm intelligence safety work system |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111696312A (en) * | 2019-03-14 | 2020-09-22 | 本田技研工业株式会社 | Passenger observation device |
| US11077814B2 (en) | 2019-03-14 | 2021-08-03 | Honda Motor Co., Ltd. | Occupant eye(s) observation device |
| CN111696312B (en) * | 2019-03-14 | 2022-06-17 | 本田技研工业株式会社 | Passenger observation device |
| CN110310458A (en) * | 2019-05-29 | 2019-10-08 | 中国安全生产科学研究院 | A kind of driver for identification whether the sunglasses and method of fatigue driving |
| CN114265689A (en) * | 2021-12-08 | 2022-04-01 | 仲恺农业工程学院 | Unmanned aerial vehicle-mounted four-waveband spectrum remote sensing camera and working method thereof |
| CN115047624A (en) * | 2022-05-24 | 2022-09-13 | 北京领为军融科技有限公司 | Intelligent glasses control system |
| CN115047624B (en) * | 2022-05-24 | 2023-06-27 | 北京领为军融科技有限公司 | Intelligent glasses control system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107730834A (en) | A kind of antifatigue Intelligent worn device being combined based on attitude detection with image recognition | |
| CN104257392B (en) | The method of a kind of fatigue driving detection prompting and detection alarm set | |
| US8322855B2 (en) | Method for determining the visual behaviour of a Person | |
| CN104865712B (en) | Intelligent healthy spectacles for children | |
| CN100462046C (en) | Online early warning system and method of weariness working | |
| CN103295370B (en) | Method and system for preventing myopia by monitoring distance between eyes and screen | |
| CN112014850B (en) | Method for judging read-write state based on laser ranging sensor and mobile device | |
| CN113589554A (en) | Intelligent glasses for monitoring eye condition and monitoring method | |
| CN103617421A (en) | Fatigue detecting method and system based on comprehensive video feature analysis | |
| CN107562213A (en) | Detection method, device and the wear-type visual device of visual fatigue state | |
| CN107273823A (en) | A kind of neck attitude monitoring method merged based on sensor with image procossing | |
| CN104952221A (en) | Intelligent table lamp with myopia prevention function | |
| CN113693552A (en) | Visual fatigue monitoring method and device, electronic equipment and readable storage medium | |
| CN101551934A (en) | Device and method for monitoring fatigue driving of driver | |
| US20160309998A1 (en) | System and Methods for Assessing Vision Using a Computing Device | |
| BR102019004580A2 (en) | devices with system to reduce the impact of near distance vision on the onset of myopia and / or myopia advancement | |
| CN109620135A (en) | A kind of monitoring of eyesight and glasses order system | |
| CN110477927A (en) | A kind of active blink detection method, apparatus, equipment and readable storage medium storing program for executing | |
| CN109141346A (en) | Sitting posture corrigendum bootstrap technique, device, equipment and the storage medium of wearable device | |
| CN201070353Y (en) | On-line early warning system for exhausted working | |
| KR20200000680U (en) | The Device for improving the study concentration | |
| CN111160165A (en) | Self-adaptive posture error correction detection method and device | |
| CN202502298U (en) | Expression eyeglass | |
| CN205290981U (en) | Sight protection robot | |
| CN103453931A (en) | Intelligent eyesight protection instrument with environment detection function |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180223 |
|
| RJ01 | Rejection of invention patent application after publication |