CN104952221B - Myopia-proof intelligent desk lamp - Google Patents

Myopia-proof intelligent desk lamp Download PDF

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Publication number
CN104952221B
CN104952221B CN201510400119.2A CN201510400119A CN104952221B CN 104952221 B CN104952221 B CN 104952221B CN 201510400119 A CN201510400119 A CN 201510400119A CN 104952221 B CN104952221 B CN 104952221B
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read
write
myopia
posture
people
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CN104952221A (en
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李乔亮
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Shenzhen University
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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18Status alarms
    • G08B21/24Reminder alarms, e.g. anti-loss alarms
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F21LIGHTING
    • F21SNON-PORTABLE LIGHTING DEVICES; SYSTEMS THEREOF; VEHICLE LIGHTING DEVICES SPECIALLY ADAPTED FOR VEHICLE EXTERIORS
    • F21S6/00Lighting devices intended to be free-standing
    • F21S6/002Table lamps, e.g. for ambient lighting
    • F21S6/003Table lamps, e.g. for ambient lighting for task lighting, e.g. for reading or desk work, e.g. angle poise lamps
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F21LIGHTING
    • F21VFUNCTIONAL FEATURES OR DETAILS OF LIGHTING DEVICES OR SYSTEMS THEREOF; STRUCTURAL COMBINATIONS OF LIGHTING DEVICES WITH OTHER ARTICLES, NOT OTHERWISE PROVIDED FOR
    • F21V23/00Arrangement of electric circuit elements in or on lighting devices
    • F21V23/003Arrangement of electric circuit elements in or on lighting devices the elements being electronics drivers or controllers for operating the light source, e.g. for a LED array
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F21LIGHTING
    • F21VFUNCTIONAL FEATURES OR DETAILS OF LIGHTING DEVICES OR SYSTEMS THEREOF; STRUCTURAL COMBINATIONS OF LIGHTING DEVICES WITH OTHER ARTICLES, NOT OTHERWISE PROVIDED FOR
    • F21V33/00Structural combinations of lighting devices with other articles, not otherwise provided for
    • F21V33/0004Personal or domestic articles
    • F21V33/0052Audio or video equipment, e.g. televisions, telephones, cameras or computers; Remote control devices therefor
    • F21V33/0056Audio equipment, e.g. music instruments, radios or speakers
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/22Matching criteria, e.g. proximity measures

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  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Emergency Management (AREA)
  • Business, Economics & Management (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • Microelectronics & Electronic Packaging (AREA)
  • Image Analysis (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

A kind of real-time acquisition measured's read-write posture is accurately analyzed with regard to the read-write posture and the myopia-proof intelligent desk lamp of alarm is sent to abnormality simultaneously.Including light source, lamp stand and lamp socket, one myopia prevention intelligent early-warning device is installed on lamp stand or lamp socket, the intelligent early-warning device includes the real-time read-write posture for reading and writing people being imported into the input unit being arranged in the identification module of the device computer in colored and depth bimodulus image information mode, difference concentrates the memory module for preserving the corresponding measurement data of the read-write real-time read-write posture of people canonical parameter corresponding with standard read/write posture, by measurement data beyond alarm module and central processing unit derived from the corresponding read-write people's real-time gesture analysis result audio signal of canonical parameter setting range.Figure and posture when desk lamp of the invention can effectively obtain teenager's reading and writing are simultaneously pointed out incorrect figure or posture.Its energy accurate measurement human eye has positive effect to the distance of books to the prevention of myopia.

Description

Myopia-proof intelligent desk lamp
Technical field
Near-sighted desk lamp is prevented the present invention relates to a kind of, more particularly to a kind of prior-warning device that passes through is to student's reading and writing When correct set whether provide the myopia-proof intelligent desk lamp of prompting.
Background technology
The existing A nearsighted person of China more than 300,000,000 people, accounts for the 33% of world's myopia number, significantly larger than world average 22% ratio.China occurs low visual acuity 1,350,000 every year, i.e., about per minute that three low visual acuity patients just occur.If no Take effective measures, will be current 4 times to the year two thousand twenty China number with visual disabilities.The cost of the annual inpairment of vision in the whole world is Up to 25,000,000,000 dollars.In sum, inpairment of vision has turned into the serious public health problem in China or even the whole world.China 8~12 Pupil's myopia incidence of disease in year is about 23%, and middle school student are about 55%, and university student is about 76%, and national myopia is about 300,000,000 People, wherein teenager are about 200,000,000 people.National myopia number of the infected occupies first place in the world.
The Crack cause of juvenile shortsightedness includes congenital heredity and acquired environment factor.The former accounts for 20%, Hou Zhezhan 80%.Teenager is in and grows vigorous period, the characteristics of the physiological function and institutional framework of eye have different from other periods, Easily myopia is formed by environment harmful effect.Incorrect reading, posture of doing the homework are to cause the important original of adolescent myopia Cause.
In the prior art, people find out various methods, make teenager when reading a book or writing, and its eye keeps one away from books Fixed distance, these methods include mechanical means, electronic method etc..
Generally, mechanical means is the head or shoulder in people, wears the mechanical part of complexity, and it need to directly connect with body Touch, increase the physical load of wearer, be thus restricted (mainly wearer does not like and uses).
Electronic method is, using ultrasonic wave or infrared ray as test media, to be aligned with the Head And Face of people, or by ultrasound Ripple or infrared tester are worn on head or ear, and measurement sensor is aligned into books.Both approaches, sensor position Put and be required for when mounted calibration in advance, its can only measurement sensor to head (or sensor to books) single-point distance, and Geometry reckoning is carried out, head to the distance of books is estimated.It is unable to accurate measurement human eye to the distance of books.Due to based on single-point Measurement, so, certainty of measurement can be reduced with shake of the head during read-write.
The content of the invention
The technical problem to be solved in the present invention is to provide a kind of measured's read-write posture that obtains in real time while appearance should be read and write Gesture is accurately analyzed and the myopia-proof intelligent desk lamp of alarm is sent to abnormality.
In order to solve the above-mentioned technical problem, the technical solution adopted by the present invention is:
Myopia-proof intelligent desk lamp of the invention, including light source, lamp stand and lamp socket, one are provided with lamp stand or lamp socket and are prevented Near-sighted intelligent early-warning device, the intelligent early-warning device includes can be by the real-time read-write posture for reading and writing people with colored and depth bimodulus figure Read-write people's reality is preserved as information mode imports the input unit being arranged in the identification module of the device computer, difference or concentrates When the corresponding measurement data of read-write posture canonical parameter corresponding with standard read/write posture memory module, measurement data is exceeded Alarm module and centre derived from the corresponding read-write people's real-time gesture analysis result audio signal of canonical parameter setting range Reason device, wherein,
The input unit is infrared scanner and depth transducer, or is color sensor and depth transducer;
The alarm module is connected with speech player;
The identification module runs in the following manner:
1) by the depth coordinate of two-dimensional coordinate pixel in the coloured image and same coordinate pixel in the depth image Carry out pairing association;
2) using the mode identification method of haar features and adaboost graders on coloured image to read-write people's figure Carry out track and localization;
3) for the read-write shadow picture on coloured image, several are set and may make up table in its head, face and/or shoulder Levy the feature recognition point of read-write head part, face or shoulder 3 d pose net;
4) select to be lighted to placing correct position on the table by least two identifications in described feature recognition point The horizontal component of wire length and the line with the reading matter angle and vertical component conduct between arbitrfary point is stopped on reading matter Measurement data is stored in the identification module;
5) the corresponding measurement data is set as canonical parameter when the 3 d pose net being in into standard read/write posture It is stored in the identification module;
6) the corresponding measurement data of dynamic read-write people is compared with canonical parameter;
7) by the alarm module by reading corresponding with the measurement data beyond the canonical parameter setting range People's real-time gesture analysis result is write to be exported using audio signal.
The feature recognition point is five points, respectively two eyes, nose and two corners of the mouths.
The canonical parameter setting value is as follows:
By the wire length of two eyes to the reading matter in 30cm-35cm;
The horizontal component of the line and the reading matter angle is in 80-100 degree;
The vertical component of the line and the reading matter angle is in 80-100 degree.
Ambient light brightness alarm and read-write posture duration alarm when the alarm module is also read and write including measured Module.
Also include WIFI communication connection modules in the myopia prevention intelligent early-warning device.
Compared with prior art, the present invention installs myopia prevention intelligent early-warning device on General desk lamp, and the device is using figure Obtain the colored and depth bimodulus image information including same read-write people's attitude and its residing read-write scene respectively as sensor, and The information is stored in the identification module being arranged in computer, afterwards, pairing is carried out to the bimodulus image and is associated and is set energy The feature recognition point for characterizing the read-write some portion of 3 d pose net of the person is constituted, then by this feature identification point to being placed on desktop Line and angle initialization are measurement data between drop point on the books of correct position, then read-write people is selected in some measurement data Correspondence during in standard read/write posture (reference can be made to the relevant criterion for the correct read-write posture of teenager that national health department puts into effect) Measurement data be stored in identification module as canonical parameter.When dynamic measuring data be above standard parameter setting scope when, The module sends alarm signal by central controller, prior-warning device.
Figure and posture when desk lamp of the invention can effectively obtain teenager's reading and writing and to incorrect figure or Posture is pointed out.The desk lamp also has the following advantages that:1) it is contactless, without wearing, without body burden.2) can essence Really measure human eye to the distance of books, measurement error<1cm.3) measurement apparatus can be arranged on 1~3 meter of scope in read-write people front, survey Amount scope is big, and without calibration.4) algorithm have measurement is tracked based on face three-dimensional coordinate, head and shoulder in read-write Unintentionally shake, do not interfere with certainty of measurement.5) image and corresponding measurement result can be preserved in the way of image, to myopia Prevention has positive effect.
Brief description of the drawings
Fig. 1 is the block diagram of myopia prevention intelligent early-warning device of the present invention.
Specific embodiment
The myopia prevention intelligent early-warning device installed on myopia-proof intelligent desk lamp of the invention (is swept by coloured image by infrared Retouch the image that instrument or color sensor are obtained) combination with depth image, using recognition of face and intelligent image analytical technology, reality When identification teenager (hereinafter referred to as reading and writing people) read-write posture in reading and writing, and to incorrect read-write posture by this The myopia prevention intelligent early-warning device of invention is reminded.
The prior-warning device includes to lead the real-time read-write posture for reading and writing people in colored and depth bimodulus image information mode The input unit entered in the identification module being arranged in central controller (can be infrared scanner and depth transducer, Huo Zhewei Color sensor and depth transducer), respectively or concentrate and preserve the corresponding measurement data of the read-write real-time read-write posture of people and standard The memory module of the corresponding canonical parameter of read-write posture, by measurement data beyond canonical parameter setting range it is corresponding read-write people's reality When alarm module and central processing unit derived from posture analysis result audio signal.
Also contain light induction and timing means in the prior-warning device, when the light light of the desk lamp is too strong or excessively weak When, light warning is sent, then by the CPU and Light modulating device (existing conventional device in the prior art) in the prior-warning device The light source intensity of illumination of the desk lamp is adjusted accordingly (equally, also dependent on the strong and weak light for adjusting the desk lamp accordingly of ambient light Source intensity of illumination is adapted to the illuminance of reading to reach).When a certain reading posture duration over-time setting of read-write people During value, then send time alarm to remind student to change posture or appropriateness rest.During alarm, the image in saving scenario simultaneously is understood Information and alarm condition.
Also include WIFI communication connection modules in the prior-warning device, can in real time by teenager's reading and writing by the module Read-write posture pass to parent carrying intelligent mobile terminal in.
The method that myopia prevention intelligent early-warning device of the invention recognizes student's read-write posture, comprises the following steps:
1) obtained respectively by imageing sensor including it is same read-write people's attitude and its residing read-write scene (scene includes Desk desktop and the reading matter being placed on the desktop) coloured image and deep image information and the information is stored in computer Identification module in.
2) by the depth coordinate of two-dimensional coordinate pixel in the coloured image and same coordinate pixel in the depth image Carry out pairing association.
Bimodal image, including colored all band image (or infrared) and depth image are obtained, all band imaging can be clapped The colored RGB information in head and shoulder portion during reading and writing in scene is taken out, Depth Imaging can provide the depth coordinate in head and shoulder portion, by coloured silk Color image and deepness image registration, the colored RGB information and xyz coordinates of number of people shoulder during being read and write.
(registration process:By coloured image and depth image coordinate, first all according to the inner parameter of sensor, it is transformed into and takes the photograph As head three-dimensional world coordinate space, then the corresponding relation that cromogram and each pixel in depth map are found out in the space.)
3) using the mode identification method of haar features and adaboost graders on coloured image to read-write people's figure Carry out track and localization.Most of existing algorithm is limited to the face tracking correct localization under depression angle, and the present invention is by changing Become the parameters such as depression angle, illumination brightness, head pose, set up targetedly training data set, improve track and localization Reliability.
4) for the read-write shadow picture on coloured image, several are set and may make up table in its head, face and/or shoulder Levy the feature recognition point of read-write head part, face or shoulder 3 d pose net.The preferably feature recognition point of the invention is five It is individual, respectively two eyes, nose and two corners of the mouths.The present invention uses 3D AAM (English full name:Active Appearance Model) model, while using the RGB and depth information that read and write human face, improving feature recognition point location Accuracy.
5) at least two identification points are selected in described feature recognition point, and by two identification point starting linear extensions Wire length and the line and institute between to arbitrfary point in the placement on the table reading matter (i.e. books) of correct position The horizontal component and vertical component for stating reading matter angle are stored in the identification module as measurement data.
For example, using coloured image and the corresponding relation of depth image, the three-dimensional coordinate of eyes is obtained, and according to read-write shape The use eye custom of state servant, two sight angles to books are obtained using head pose.
Three-dimensional information is provided using depth image, desktop or books plane is detected, based on eyes coordinate and sight angle, asked Go out sight line in desk or the three-dimensional coordinate of the subpoint of books plane, calculate the point to the distance of eyes.
The device utilizes high-performance GPU computings, based on the above method, human eye to the distance of books, Yi Jitou is obtained in real time Shoulder posture (for example, when people is read and write with the posture reading for inclining body, the corresponding measurement data of feature recognition point of its shoulder Corresponding tilt variation will occur).
6) the corresponding measurement data is set as canonical parameter when the 3 d pose net being in into standard read/write posture It is stored in the identification module.
7) the corresponding measurement data of dynamic read-write people is compared with canonical parameter.
8) prior-warning device by being connected with the computer will exceed the measurement of the canonical parameter setting range The corresponding read-write people's real-time gesture analysis result of data is exported using audio signal.
The canonical parameter setting value is as follows:
By the wire length of two eyes to the books corner in 30cm-35cm;
The horizontal component of the line and the books angle is in 80-100 degree;
The vertical component of the line and the books angle is in 80-100 degree.
By the corresponding 3 d pose net duration of the standard read/write posture be arranged in Computer Storage module Time setting value compare, to the 3 d pose net duration exceed time setting value when, can be by the myopia prevention intelligence Energy prior-warning device sends audio alarming signal.

Claims (5)

1. a kind of myopia-proof intelligent desk lamp, including light source, lamp stand and lamp socket, it is characterised in that:It is provided with lamp stand or lamp socket One myopia prevention intelligent early-warning device, the intelligent early-warning device includes can be by the real-time read-write posture for reading and writing people with colored and depth Bimodulus image information mode imports input unit, difference or the concentration being arranged in the identification module of the device computer and preserves to be read Write the memory module of the corresponding measurement data of the real-time read-write posture of people canonical parameter corresponding with standard read/write posture, number will be measured According to beyond canonical parameter setting range it is corresponding read-write people's real-time gesture analysis result audio signal derived from alarm module and Central processing unit, wherein,
The input unit is infrared scanner and depth transducer, or is color sensor and depth transducer;
The alarm module is connected with speech player;
The identification module runs in the following manner:
1) two-dimensional coordinate pixel in the coloured image is carried out with the depth coordinate of same coordinate pixel in the depth image Pairing association;
2) read-write people figure is carried out on coloured image using the mode identification method of haar features and adaboost graders Track and localization;
3) for the read-write shadow picture on coloured image, its head, face and/or shoulder set several may make up sign should The feature recognition point of read-write head part, face or shoulder 3 d pose net;
4) select to be lighted to the reading matter for placing correct position on the table by least two identifications in described feature recognition point Upper arbitrfary point stop between wire length and the line and the reading matter angle horizontal component and vertical component as measurement Data are stored in the identification module;
5) the corresponding measurement data is set as that canonical parameter is stored in when the 3 d pose net being in into standard read/write posture In the identification module;
6) the corresponding measurement data of dynamic read-write people is compared with canonical parameter;
7) by the alarm module by read-write people corresponding with the measurement data beyond the canonical parameter setting range Real-time gesture analysis result is exported using audio signal.
2. myopia-proof intelligent desk lamp according to claim 1, it is characterised in that:The feature recognition point is five points, point Wei not two eyes, nose and two corners of the mouths.
3. myopia-proof intelligent desk lamp according to claim 2, it is characterised in that:The canonical parameter setting value is as follows:
By the wire length of two eyes to the reading matter in 30cm-35cm;
The horizontal component of the line and the reading matter angle is in 80-100 degree;
The vertical component of the line and the reading matter angle is in 80-100 degree.
4. myopia-proof intelligent desk lamp according to claim 1, it is characterised in that:The alarm module is also read including measured Ambient light brightness alarm and read-write posture duration alarm module when writing.
5. myopia-proof intelligent desk lamp according to claim 1, it is characterised in that:In the myopia prevention intelligent early-warning device Also include WIFI communication connection modules.
CN201510400119.2A 2015-07-09 2015-07-09 Myopia-proof intelligent desk lamp Expired - Fee Related CN104952221B (en)

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CN106781324A (en) * 2017-01-09 2017-05-31 海南易成长科技有限公司 Vertebra system for prompting and light fixture are protected in a kind of eyeshield
CN108615012A (en) * 2018-04-27 2018-10-02 Oppo广东移动通信有限公司 Distance reminding method, electronic device and non-volatile computer readable storage medium storing program for executing
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WO2019227975A1 (en) 2018-05-30 2019-12-05 Oppo广东移动通信有限公司 Control system of laser projector, terminal and control method of laser projector
CN110290349B (en) * 2019-06-17 2022-03-08 苏州佳世达电通有限公司 Lamp and method for detecting sitting posture state of user
CN110969099A (en) * 2019-11-20 2020-04-07 湖南检信智能科技有限公司 Threshold value calculation method for myopia prevention and early warning linear distance and intelligent desk lamp
CN113591522A (en) * 2020-04-30 2021-11-02 百度在线网络技术(北京)有限公司 Image processing method, device and storage medium
CN112365690A (en) * 2020-10-30 2021-02-12 四川大学华西医院 Intelligent wearable device based on scene recognition and early warning method thereof
CN113090969A (en) * 2021-03-19 2021-07-09 合肥视其佳科技有限公司 Intelligent myopia-preventing desk lamp and using method thereof

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6445815B1 (en) * 1998-05-08 2002-09-03 Canon Kabushiki Kaisha Measurement of depth image considering time delay
CN101989326A (en) * 2009-07-31 2011-03-23 三星电子株式会社 Human posture recognition method and device
CN102737235A (en) * 2012-06-28 2012-10-17 中国科学院自动化研究所 Head posture estimation method based on depth information and color image
CN103423657A (en) * 2013-08-21 2013-12-04 步步高教育电子有限公司 Intelligent lamp and intelligent reminding method thereof
CN104281839A (en) * 2014-09-26 2015-01-14 深圳市同洲电子股份有限公司 Body posture identification method and device

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2004107266A1 (en) * 2003-05-29 2004-12-09 Honda Motor Co., Ltd. Visual tracking using depth data

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6445815B1 (en) * 1998-05-08 2002-09-03 Canon Kabushiki Kaisha Measurement of depth image considering time delay
CN101989326A (en) * 2009-07-31 2011-03-23 三星电子株式会社 Human posture recognition method and device
CN102737235A (en) * 2012-06-28 2012-10-17 中国科学院自动化研究所 Head posture estimation method based on depth information and color image
CN103423657A (en) * 2013-08-21 2013-12-04 步步高教育电子有限公司 Intelligent lamp and intelligent reminding method thereof
CN104281839A (en) * 2014-09-26 2015-01-14 深圳市同洲电子股份有限公司 Body posture identification method and device

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