CN101032404A - Online early warning system and method of weariness working - Google Patents
Online early warning system and method of weariness working Download PDFInfo
- Publication number
- CN101032404A CN101032404A CN 200710014406 CN200710014406A CN101032404A CN 101032404 A CN101032404 A CN 101032404A CN 200710014406 CN200710014406 CN 200710014406 CN 200710014406 A CN200710014406 A CN 200710014406A CN 101032404 A CN101032404 A CN 101032404A
- Authority
- CN
- China
- Prior art keywords
- early warning
- user
- software
- heart rate
- warning system
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 17
- 208000016254 weariness Diseases 0.000 title claims description 17
- 238000012549 training Methods 0.000 claims abstract description 30
- 230000029058 respiratory gaseous exchange Effects 0.000 claims description 38
- 206010016256 fatigue Diseases 0.000 claims description 28
- 230000008859 change Effects 0.000 claims description 12
- 210000003128 head Anatomy 0.000 claims description 11
- 230000008569 process Effects 0.000 claims description 9
- 238000005286 illumination Methods 0.000 claims description 8
- 210000001747 pupil Anatomy 0.000 claims description 8
- 238000003860 storage Methods 0.000 claims description 8
- 238000004458 analytical method Methods 0.000 claims description 6
- 230000036391 respiratory frequency Effects 0.000 claims description 6
- 210000001015 abdomen Anatomy 0.000 claims description 4
- 230000003187 abdominal effect Effects 0.000 claims description 4
- 230000009471 action Effects 0.000 claims description 4
- 239000012141 concentrate Substances 0.000 claims description 4
- 238000003909 pattern recognition Methods 0.000 claims description 3
- 210000003371 toe Anatomy 0.000 claims description 3
- 230000003340 mental effect Effects 0.000 description 7
- 238000010586 diagram Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 4
- 239000000203 mixture Substances 0.000 description 4
- 238000000605 extraction Methods 0.000 description 3
- 210000000744 eyelid Anatomy 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 208000019914 Mental Fatigue Diseases 0.000 description 2
- 206010048232 Yawning Diseases 0.000 description 2
- 230000008878 coupling Effects 0.000 description 2
- 238000010168 coupling process Methods 0.000 description 2
- 238000005859 coupling reaction Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 230000001815 facial effect Effects 0.000 description 2
- 230000036541 health Effects 0.000 description 2
- 206010057315 Daydreaming Diseases 0.000 description 1
- 206010041349 Somnolence Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000033228 biological regulation Effects 0.000 description 1
- 210000004556 brain Anatomy 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 208000002173 dizziness Diseases 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 238000004020 luminiscence type Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000002085 persistent effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000036387 respiratory rate Effects 0.000 description 1
- 230000005236 sound signal Effects 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 238000005728 strengthening Methods 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
- 230000002463 transducing effect Effects 0.000 description 1
- 230000007704 transition Effects 0.000 description 1
- 230000009978 visual deterioration Effects 0.000 description 1
Images
Landscapes
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
Abstract
The present invention discloses one kind of on-line fatigue work early-warning system and method with standardized criterion, convenient use, accurate judgment on fatigue state and capacity of early warning and preventing accident. The on-line fatigue work early-warning system has the structure comprising a power source, an alarm device, an eye image acquiring device, a breath and heart beat information acquiring device, a training and controlling interface and a fatigue identifying device connected to all the forgoing devices.
Description
Technical field
The present invention relates to a kind of early warning system, relate in particular to a kind of fatigue tendency and fatigue state that user is occurred in the course of the work and carry out the ONLINE RECOGNITION also online early warning system of weariness working and the method for early warning thereof of alarm.
Background technology
The operator on duty of key post especially at night, the situation of mental fatigue, the decline of energy intensity occurs through regular meeting in long work process.This will cause dizzy, the symptom of dozing off of its appearance, thereby decision error, misperception and operation mistake take place.Decision error mainly is forecasting inaccuracy and misjudge, and misperception comprises negligence, absentminded, improper, the visual deterioration of attention.Operation mistake mainly is that action is inaccurate.The behavior mistake that these fatigues cause is the major reason that causes operating irregularity to take place.According to statistics, society is caused in the motor vehicles vehicle accident of huge life, property loss, surpass 25% owing to driver's mental fatigue causes the ratio that energy is not concentrated even the overtired death by accident that causes drowsiness to cause accounts for the vehicle accident sum.
At present existing multinomial patent relates to by gathering people's bio information, and fatigue state is differentiated.For example, video camera is installed in driver's cabin, is gathered driver's facial information and connect image processing equipment.Owing to well-known reason, the instability of image, user of service's attitude variation etc. can cause the feature extraction difficulty, and especially the accurate tracking of eyes is difficult to realize reliably.In addition, because biological characteristic exists than big-difference between the nonspecific user, cause using merely the method for the facial characteristics judgement mental status not ideal enough.
Also have scheme to gather the bioelectrical signals of user, for example body electricity, brain electricity etc., and the foundation of differentiating as its mental status after treatment.These class methods exist Body contact measurement requirement harshness, thereby cause problems such as harvester output individual variation is big, use inconvenience, and causing can't online use in daily production, life activity.
Along with development of electronic technology, microminiaturized, portable image capture device has been suitable for human body and has dressed.Easy to use and cheap human heart rate and breathing rate sensing device obtain popularization and application at medical domain.Under normal condition, bio signals such as the heart rate of being convenient to gather, breathing rate are less demanding with contacting of health to harvester, the more important thing is, medical research confirms that already there is definite relation in this category information and people's the mental status.
Summary of the invention
Purpose of the present invention is exactly in order to solve used fatigue early warning device at present, can not well satisfy the early warning requirement, can't determine the mental status automatically according to individual variation, play problems such as forewarning function, a kind of specification for structure unification that has is provided, easy to use, can accurately judge the user mental status, the reliable also energy of forewarning function auxiliary improvement user of service's energy intensity, the online early warning system of weariness working and the method for early warning thereof of preventing accident and taking place.
For achieving the above object, the present invention adopts following technical scheme:
The online early warning system of a kind of weariness working, it comprises battery, alarm device, it is arranged on the eyes image harvester that human body head is used to gather the action of people's eye in addition, be arranged on the heart rate and the breathing rate harvester of human lumbar abdominal part, and the training control interface, they all are connected with tired recognition device, and tired recognition device then is connected with alarm device.
Described eyes image harvester comprises working cap, is provided with minisize pick-up head at its shade front end and human eye correspondence position, and is connected with tired recognition device by signal transmssion line.
Be provided with the infrared illumination source of aiming at its eye with user eye correspondence position on the shade of described working cap.
Described heart rate and breathing rate harvester comprise webbing, and its two ends are provided with the union joint and the Connection Block of movable connection, and waist abdomen formula pressure transducer connects firmly on webbing, and is strapped in the human lumbar abdominal part.
Described tired recognition device comprises the digital signal processor that adopts dsp chip, and it is connected with the eyes image harvester with reception eye signal by the picture signal interface, and utilizes the eye messaging software to handle; Be connected with heart rate and breathing rate harvester device by the pressure signal interface, receive the heart rate and the breathing rate signal of human body, and utilize heart rate and breathing rate process software to handle; Form software by training control interface utilization training template and form training template characteristic parameter; Fatigue state by analysis of fatigue identification software identification user; Be connected with alarm device by alarm control interface.
Described alarm device comprises that voice storage and playing circuit, output amplifier, speaker form; Tired recognition device triggers voice storage and playing circuit according to recognition result by alarm control interface, and voice signal is through amplifying output, and the prompting user is on your toes, concentrate one's energy.
The online early warning system method for early warning of a kind of weariness working, its step is
A, system power-up start, and carry out initialization;
B, gather the user eyes image by the eyes image harvester, with the picture frame is unit, utilizes software that the user eyes image is handled, and calculates position, pupil size, the folding degree of eyes, catacleisis time, catacleisis frequency change next step then over to; As not gathered a two field picture, then directly change next step over to;
C, gather the heart rate and the breathing rate pressure data of user, as gathered, then utilize computed in software heart rate and breathing rate respiratory frequency and variation thereof by heart rate and breathing rate harvester; As not gathered, then directly change next step over to;
D, judge whether to be in physical training condition at present, as be in physical training condition, then generate the size that the driver status template parameter comprises eyes, closed frequency, the size of pupil, respiratory frequency by software; As be not in physical training condition, and then judge software by tired tendency, carry out the fatigue state pattern recognition according to driver's eyes image and breathing rate parameter;
E, according to recognition result, if user is in fatigue state then gives the alarm by alarm device; As be not in fatigue state, and then go back among the step b, detect judgement again.
The present invention gathers user eye information, heart rate, breathing rate information in real time in the early warning process.It adopts the wear-type imageing sensor, gathers the eye information of user.The position relative fixed of imageing sensor and face image, the image information of obtaining is vibrated, the influence of ambient light is little, is not subjected to the influence of user posture.These characteristics make the computational processing of eyes image greatly reduce, and the action message of the eyes of extraction is more accurate.Adopt heart rate and the breathing rate and the yawn information of waist abdomen formula sensor acquisition user.Extract the relevant characteristic parameters such as eye pupil variation, catacleisis frequency change, the variation of catacleisis time, changes in heart rate and change of respiratory rate of the reaction user mental status by information processing, the application mode recognition principle, analyze the fatigue tendency that user shows, its fatigue state is mated identification.Equipment is differentiated the result according to fatigue state, the information that gives a warning, thereby auxiliary user concentrate one's energy or take corresponding measure, avoid causing error of performance and accident because of tired reason.
The invention has the beneficial effects as follows: version is unified and standard, and information gathering is accurately convenient, can send early warning more accurately, has reduced tired reason and has caused error of performance and accident.
Description of drawings
Fig. 1 is the online source of early warning block diagram of fatigue driving;
Fig. 2 is an eyes image harvester composition frame chart;
Fig. 3 is heart rate and breathing rate harvester composition frame chart;
Fig. 4 is tired recognition device composition frame chart;
Fig. 5 is the alarm device composition frame chart;
Fig. 6 is the flow chart of the online early warning software of weariness working;
Fig. 7 is an electrical schematic diagram of the present invention;
Fig. 8 is tired recognition device electrical schematic diagram;
Fig. 9 is the electrical schematic diagram of picture signal interface circuit.
Wherein, 1. eyes image harvester, 10. working cap, 11. minisize pick-up head, 12. infrared illumination source, 13. signal transmssion lines, 2. heart rate and breathing rate harvester, 20. webbings, 21. pressure transducers, 22. union joint, 23. Connection Blocks, 3. tired recognition device, 30. digital signal processor, 31. picture signal interfaces, 32. pressure signal interfaces, 33. the eye messaging software, 34. hearts rate and breathing rate process software, 35. training templates form software, 36. analysis of fatigue identification software, 37. alarm control interface, 4. alarm device, storage of 40. voice and playing circuit, 41. output amplifier, 42. speaker, 5. training control interface, 6. battery.
The specific embodiment
The invention will be further described below in conjunction with accompanying drawing and embodiment.
The online source of early warning of weariness working partly is made up of eyes image harvester 1, heart rate and breathing rate harvester 2, tired recognition device 3, alarm device 4, training control interface 5 etc., and the interactively of system's each several part as shown in Figure 1.
The effect of eyes image harvester 1 is an eyes image of gathering user.It is made up of working cap 10, minisize pick-up head 11, infrared illumination source 12 and signal transmssion line 13.Minisize pick-up head 11, infrared illumination source 12 are installed on the shade of working cap 10, and direction is aimed at the user eye.Infrared illumination source 12 is used for strengthening under the dark condition at night clear picture figure.The structure of working cap 10 as shown in Figure 2, working cap 10 shade portion materials can see through Infrared.Minisize pick-up head 11 is selected the CMOS photographic head of infrared ray responsive for use, and the left eye or the right eye of user pointed at its center of finding a view, and viewfinder range is to be first face at center with these eyes.Picture frame resolution 640 * 480 (300,000 pixel).One group of near infrared luminescence diode is as the lighting source under the night dark condition, and illumination zone is identical with the photographic head viewfinder range.The components and parts and the software code of minisize pick-up head 11, infrared illumination source 12, tired recognition device 3 parts at first are assemblied on the multilayer board, are installed on the shade of working cap 10 again.
The using method of heart rate and breathing rate harvester 2 is similar to belt, lies in the waist and belly of user.As shown in Figure 3, it is made up of webbing 20, pressure transducer 21, union joint 22, Connection Block 23 etc.Pressure transducer 21 is fixed together with webbing 20.Union joint 22 and Connection Block 23 are separately fixed at the two ends of webbing 20, and union joint 22 and Connection Block 23 hasps use, and make webbing 20 be adjacent to the user health.Its pressure transducer 21 signal amplitude peaks generally can reach 2 volts, are connected with tired recognition device 3 by holding wire.
Tired recognition device 3 comprises that as Fig. 4, Fig. 7, shown in Figure 8 digital signal processor 30, picture signal interface 31, pressure signal interface 32, eye messaging software 33, heart rate and breathing rate process software 34, training template form parts such as software 35, analysis of fatigue identification software 36.The data that picture signal interface 31 receives from eyes image harvester 1, and carry out data according to the picture frame form and keep in, its circuit diagram is as shown in Figure 9.Digital signal processor 30 operation eye messaging softwares 33 as handling unit, at first become black white image to image transitions by the two-value method with a two field picture, then image are corroded and expansion process, filter out the clutter in the image.Carry out level and vertical histogram computing, judge the band of position of eyes.Further the image to eyes carries out level and vertical histogram analysis, judges the closure of eyes, the size of eyelid aperture pupil.After in succession frame data are carried out relevant treatment, calculate catacleisis frequency, catacleisis time, average eyelid aperture size.Pressure signal interface 32 will convert digital form to from the analog pressure signal of heart rate and breathing rate harvester 2.Signal aroused in interest is the impulse wave that contains higher frequency components, and breathing transducing signal is the very low impulse wave of frequency.Heart rate and breathing rate process software 34 extract low-frequency component and radio-frequency component from digital pressure signal, and further calculate the breathing rate and the hrv parameter of user.
When training control interface 5 was in physical training condition, digital signal processor 30 operation training templates formed software 35.Gather eyes image, heart rate, the breathing rate information of (mental status is good) under the user normal operating conditions, behind above-mentioned signal processing, parameter extraction, further handle, form training template characteristic parameter through statistical method.
System is under the online alert status, digital signal processor 30 operation analysis of fatigue identification softwares 36.The criterion of carrying out fatigue state coupling identification mainly contains: in certain persistent period, the increase frequency of catacleisis, the time lengthening of catacleisis, eyelid aperture diminish, heart rate and breathing rate slows down, yawn increases etc.Utilization feature fusion technology improves the sane degree of identification.The relative variation that adopts characteristic parameter carries out fatigue tendency ONLINE RECOGNITION as coupling tolerance.When occurring a plurality of characteristic matching simultaneously, judge that fatigue state appears in user.Recognition result outputs to alarm device 4.
Training control function is realized by one group of master cock.After control entered physical training condition, the template characteristic data began to form automatically., reach after regulation requires as the basic foundation of convergence with the variable quantity of short-time average value, system provides training and finishes information.After training process was finished, equipment can change the online alert status of weariness working over to.
Among Fig. 6, the online early warning system method for early warning of weariness working of the present invention is:
A, system power-up start, and carry out initialization;
B, gather the user eyes image by the eyes image harvester, with the picture frame is unit, utilizes software that the user eyes image is handled, and calculates position, pupil size, the folding degree of eyes, catacleisis time, catacleisis frequency change next step then over to; As not gathered a two field picture, then directly change next step over to;
C, gather the heart rate and the breathing rate pressure data of user, as gathered, then utilize computed in software heart rate and breathing rate respiratory frequency and variation thereof by heart rate and breathing rate harvester; As not gathered, then directly change next step over to;
D, judge whether to be in physical training condition at present, as be in physical training condition, then generate the size that the driver status template parameter comprises eyes, closed frequency, the size of pupil, respiratory frequency by software; As be not in physical training condition, and then judge software by tired tendency, carry out the fatigue state pattern recognition according to driver's eyes image and breathing rate parameter;
E, according to recognition result, if user is in fatigue state then gives the alarm by alarm device; As be not in fatigue state, and then go back among the step b, detect judgement again.
Claims (7)
1, the online early warning system of a kind of weariness working, it comprises battery (6), alarm device (4), it is characterized in that: it is arranged on the eyes image harvester (1) that human body head is used to gather the action of people's eye in addition, be arranged on the heart rate and the breathing rate harvester (2) of human lumbar abdominal part, and training control interface (5), they all are connected with tired recognition device (3), and tired recognition device (3) then is connected with alarm device (4).
2, the online early warning system of weariness working according to claim 1, it is characterized in that: described eyes image harvester (1) comprises working cap (10), be provided with minisize pick-up head (11) at its shade front end and human eye correspondence position, and be connected with tired recognition device (3) by signal transmssion line (13).
3, the online early warning system of weariness working according to claim 2 is characterized in that: be provided with the infrared illumination source (12) of aiming at its eye with user eye correspondence position on the shade of described working cap (10).
4, the online early warning system of weariness working according to claim 1, it is characterized in that: described heart rate and breathing rate harvester (2) comprise webbing (20), its two ends are provided with the union joint (22) and the Connection Block (23) of movable connection, waist abdomen formula pressure transducer (21) connects firmly on webbing (20), and is strapped in the human lumbar abdominal part.
5, the online early warning system of weariness working according to claim 1, it is characterized in that: described tired recognition device (3) comprises the digital signal processor (30) that adopts dsp chip, it is connected with eyes image harvester (1) with reception eye signal by picture signal interface (31), and utilizes eye messaging software (33) to handle; Be connected with heart rate and breathing rate harvester (2) device by pressure signal interface (32), receive the heart rate and the breathing rate signal of human body, and utilize heart rate and breathing rate process software (34) to handle; Utilize the training template to form software (35) by training control interface (5) and form training template characteristic parameter; Fatigue state by analysis of fatigue identification software (36) identification user; Be connected with alarm device (4) by alarm control interface (37).
6, the online early warning system of weariness working according to claim 1 or 5 is characterized in that: described alarm device (4) is made up of voice storage and playing circuit (40), output amplifier (41), speaker (42); Tired recognition device (3) triggers voice storage and playing circuit (40) according to recognition result by alarm control interface (37), and voice signal is through amplifying output, point out user on your toes, concentrate one's energy.
7, the online early warning system method for early warning of the described weariness working of a kind of claim 1 is characterized in that: its method is,
A, system power-up start, and carry out initialization;
B, gather the user eyes image by eyes image harvester (1), with the picture frame is unit, utilizes software that the user eyes image is handled, and calculates position, pupil size, the folding degree of eyes, catacleisis time, catacleisis frequency change next step then over to; As not gathered a two field picture, then directly change next step over to;
C, gather the heart rate and the breathing rate pressure data of user, as gathered, then utilize computed in software heart rate and breathing rate respiratory frequency and variation thereof by heart rate and breathing rate harvester (2); As not gathered, then directly change next step over to;
D, judge whether to be in physical training condition at present, as be in physical training condition, then generate the size that the driver status template parameter comprises eyes, closed frequency, the size of pupil, respiratory frequency by software; As be not in physical training condition, and then judge software by tired tendency, carry out the fatigue state pattern recognition according to driver's eyes image and breathing rate parameter;
E, according to recognition result, give the alarm by alarm device (4) if user is in fatigue state; As be not in fatigue state, and then go back among the step b, detect judgement again.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNB2007100144065A CN100462046C (en) | 2007-04-16 | 2007-04-16 | Online early warning system and method of weariness working |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNB2007100144065A CN100462046C (en) | 2007-04-16 | 2007-04-16 | Online early warning system and method of weariness working |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN101032404A true CN101032404A (en) | 2007-09-12 |
| CN100462046C CN100462046C (en) | 2009-02-18 |
Family
ID=38729286
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CNB2007100144065A Expired - Fee Related CN100462046C (en) | 2007-04-16 | 2007-04-16 | Online early warning system and method of weariness working |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN100462046C (en) |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101822537A (en) * | 2009-03-07 | 2010-09-08 | 深圳富泰宏精密工业有限公司 | Warning device and warning method thereof |
| CN102306460A (en) * | 2011-04-29 | 2012-01-04 | 于雷 | Armored vehicle training management system and apparatus thereof |
| CN103054555A (en) * | 2012-12-28 | 2013-04-24 | 深圳市元征软件开发有限公司 | Vehicular human health detection apparatus and method |
| CN103150545A (en) * | 2011-09-02 | 2013-06-12 | 沃尔沃汽车公司 | Method for classification of eye closures |
| CN103356203A (en) * | 2012-04-10 | 2013-10-23 | 中国人民解放军第四军医大学 | Method and device for detecting human body erect position balancing fatigue |
| CN103747722A (en) * | 2012-06-05 | 2014-04-23 | 博伊雷尔有限责任公司 | Stress and burn-out analysis and diagnostic device |
| CN104376685A (en) * | 2014-11-06 | 2015-02-25 | 无锡悟莘科技有限公司 | Fatigue driving preventing vehicle control method |
| CN106448088A (en) * | 2016-10-15 | 2017-02-22 | 成都育芽科技有限公司 | Intelligent wearable eyesight protecting device and method |
| CN106889996A (en) * | 2017-01-11 | 2017-06-27 | 中国计量大学 | The method and safety cap of a kind of monitoring resultses person fatigue |
| CN109044379A (en) * | 2018-06-26 | 2018-12-21 | 深圳市元征科技股份有限公司 | A kind of fatigue driving judgment method, system, equipment and computer storage medium |
| CN109523726A (en) * | 2018-11-30 | 2019-03-26 | 广西秒看科技有限公司 | A kind of myopia Intelligent preventive control equipment, prevention and control system and preventing control method |
| CN111767885A (en) * | 2020-07-07 | 2020-10-13 | 歌尔科技有限公司 | Fatigue state identification method, device, equipment, readable storage medium and system |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101513346B (en) * | 2009-03-18 | 2011-06-15 | 华南理工大学 | Sleeping respiration information abdominal type monitoring and early warning system featuring wireless transmission |
| US9902414B2 (en) | 2016-02-18 | 2018-02-27 | Electro-Motive Diesel, Inc | Locomotive including operator fatigue monitoring system |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5729619A (en) * | 1995-08-08 | 1998-03-17 | Northrop Grumman Corporation | Operator identity, intoxication and drowsiness monitoring system and method |
| AU1589797A (en) * | 1995-10-21 | 1997-05-07 | Joachim Patz | Method and device for preventing drivers, etc. from falling asleep and for monitoring people's reactions |
| JPH11314534A (en) * | 1998-05-06 | 1999-11-16 | Nissan Motor Co Ltd | Caution ability reduction preventive device for vehicle |
| US7027621B1 (en) * | 2001-03-15 | 2006-04-11 | Mikos, Ltd. | Method and apparatus for operator condition monitoring and assessment |
| CN1613425A (en) * | 2004-09-15 | 2005-05-11 | 南京大学 | Method and system for drivers' fatigue prealarming biological identification |
| JP4622439B2 (en) * | 2004-10-13 | 2011-02-02 | 日産自動車株式会社 | Arousal level judgment device |
| CN2770011Y (en) * | 2005-03-03 | 2006-04-05 | 安徽金海迪尔信息技术有限责任公司 | Non-contact type vehicular driver fatigue running real-time monitor |
-
2007
- 2007-04-16 CN CNB2007100144065A patent/CN100462046C/en not_active Expired - Fee Related
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101822537A (en) * | 2009-03-07 | 2010-09-08 | 深圳富泰宏精密工业有限公司 | Warning device and warning method thereof |
| CN102306460A (en) * | 2011-04-29 | 2012-01-04 | 于雷 | Armored vehicle training management system and apparatus thereof |
| CN103150545B (en) * | 2011-09-02 | 2017-04-12 | 沃尔沃汽车公司 | Method for classification of eye closures |
| CN103150545A (en) * | 2011-09-02 | 2013-06-12 | 沃尔沃汽车公司 | Method for classification of eye closures |
| CN103356203A (en) * | 2012-04-10 | 2013-10-23 | 中国人民解放军第四军医大学 | Method and device for detecting human body erect position balancing fatigue |
| CN103747722A (en) * | 2012-06-05 | 2014-04-23 | 博伊雷尔有限责任公司 | Stress and burn-out analysis and diagnostic device |
| CN103054555A (en) * | 2012-12-28 | 2013-04-24 | 深圳市元征软件开发有限公司 | Vehicular human health detection apparatus and method |
| CN104376685A (en) * | 2014-11-06 | 2015-02-25 | 无锡悟莘科技有限公司 | Fatigue driving preventing vehicle control method |
| CN106448088A (en) * | 2016-10-15 | 2017-02-22 | 成都育芽科技有限公司 | Intelligent wearable eyesight protecting device and method |
| CN106889996A (en) * | 2017-01-11 | 2017-06-27 | 中国计量大学 | The method and safety cap of a kind of monitoring resultses person fatigue |
| CN109044379A (en) * | 2018-06-26 | 2018-12-21 | 深圳市元征科技股份有限公司 | A kind of fatigue driving judgment method, system, equipment and computer storage medium |
| CN109523726A (en) * | 2018-11-30 | 2019-03-26 | 广西秒看科技有限公司 | A kind of myopia Intelligent preventive control equipment, prevention and control system and preventing control method |
| CN111767885A (en) * | 2020-07-07 | 2020-10-13 | 歌尔科技有限公司 | Fatigue state identification method, device, equipment, readable storage medium and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN100462046C (en) | 2009-02-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN100462046C (en) | Online early warning system and method of weariness working | |
| CN110276273B (en) | Driver fatigue detection method integrating facial features and image pulse heart rate estimation | |
| CN107979985B (en) | Vehicle-mounted healthy and safe driving auxiliary device | |
| CN103824420A (en) | Fatigue driving identification system based on heart rate variability non-contact measuring | |
| CN103702014A (en) | Non-contact physiological parameter detection method, system and device | |
| CN201070353Y (en) | On-line early warning system for exhausted working | |
| CN103984315A (en) | Domestic multifunctional intelligent robot | |
| CN110334592A (en) | A kind of monitoring of driver's abnormal behaviour and safety control system and safety control method | |
| CN109953763A (en) | A kind of vehicle carried driving behavioral value early warning system and method based on deep learning | |
| CN104224204A (en) | Driver fatigue detection system on basis of infrared detection technology | |
| CN108958482B (en) | Similarity action recognition device and method based on convolutional neural network | |
| CN208769778U (en) | A kind of intelligence system based on electro-ocular signal monitoring fatigue driving | |
| CN103198618A (en) | Mobile phone capable of preventing fatigue driving and warning method | |
| CN110109252A (en) | A kind of intelligent glasses and its control method | |
| CN114596448A (en) | Meat duck health management method and management system thereof | |
| CN101627906A (en) | Portable multiparameter health monitoring system | |
| CN112631112A (en) | Multifunctional health monitoring smart watch and control method thereof | |
| CN109567832A (en) | A kind of method and system of the angry driving condition of detection based on Intelligent bracelet | |
| CN106446822B (en) | Blink detection method based on circle fitting | |
| CN106422259B (en) | A kind of Intelligent football training system | |
| CN209488674U (en) | It is integrated with the video camera of vehicle identification and recognition of face | |
| CN206836422U (en) | A kind of adjustable intelligent bracelet | |
| CN202033768U (en) | Transmission-type finger vein characteristic acquisition device | |
| CN111281403A (en) | Fine-grained human body fatigue detection method and device based on embedded equipment | |
| CN110115796A (en) | The awake system of fatigue detecting and rush of eye movement parameter monitoring based on N-range image processing algorithm |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| ASS | Succession or assignment of patent right |
Owner name: WEIFANG WEIDU ELECTRONICAL SCIENCE+TECHNOLOGY CO., Free format text: FORMER OWNER: SUN JUN Effective date: 20101025 |
|
| C41 | Transfer of patent application or patent right or utility model | ||
| COR | Change of bibliographic data |
Free format text: CORRECT: ADDRESS; FROM: 250014 NO.502, UNIT 3, BUILDING 2, NO.8, LISHAN ROAD, LIXIA DISTRICT, JI'NAN CITY, SHANDONG PROVINCE TO: 261061 ROOM 607, GAOXIN BUILDING, YUQING EAST STREET, NEW AND HIGH TECHNOLOGY DEVELOPMENT AREA, WEIFANG CITY, SHANDONG PROVINCE |
|
| TR01 | Transfer of patent right |
Effective date of registration: 20101025 Address after: 607 room 261061, Gaoxin street, Gaoxin street, Weifang hi tech Zone, Shandong Patentee after: WeDo Electronics Technology Inc. Address before: 250014 No. 3, building 2, building 8, Lishan Road, Lixia District, Shandong, Ji'nan, 502 Patentee before: Sun Jun |
|
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20090218 Termination date: 20190416 |