CN106530636A - Myopia posture prevention algorithm with use of multi-path close range detection - Google Patents
Myopia posture prevention algorithm with use of multi-path close range detection Download PDFInfo
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- CN106530636A CN106530636A CN201610960526.3A CN201610960526A CN106530636A CN 106530636 A CN106530636 A CN 106530636A CN 201610960526 A CN201610960526 A CN 201610960526A CN 106530636 A CN106530636 A CN 106530636A
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- 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
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Abstract
The invention discloses a myopia posture prevention algorithm with the use of multi-path close range detection. The myopia posture prevention algorithm comprises a first step of initialization: (1) the first use is set, the distances d01 and d02 between a sensor and a person are obtained, (2) in the first use, sensors can be pulled, thus the height of an upper path sensor and the forehead height of the person sitting in front of a desk are consistent and the height of a lower path sensor and the height of the chest of the person are consistent, according to the sitting posture of a normal adult person, the height of the lower path sensor is about 20 cm, and the height of the upper path sensor is about 45cm, (3) a condition that the sensors just face a human body is ensured, since the irradiation angles of the sensors are 15 degrees about, and according to the distance which is 60 cm about between the sensors and the person, the irradiation range is a circle with the diameter of 30 cm, and a second step of detection. According to the myopia posture prevention algorithm, the accuracy of detection can be greatly improved, and the false alarm rate is reduced.
Description
Technical field
The present invention relates to, and in particular to the myopia prevention posture algorithm that a kind of utilization multichannel is closely detected.
Background technology
During Students ' Learning, fault is the major reason of induction myopia.There is the anti-seat being placed on desk at present
Appearance equipment, using the infrared, ultrasonic of single channel, microwave etc., closely detection meanss detect the distance between human body and equipment mostly.
Then according to distance judging human body whether in incorrect posture.But this detection is often that individual equipment single channel is carried out, past
Toward living scene complicated in routine use is not adapted to, rate of false alarm is very high, so that cannot use.
In sum, the present invention devises the myopia prevention posture algorithm that a kind of utilization multichannel is closely detected.
The content of the invention
For not enough present on prior art, the present invention seeks to be to provide a kind of utilization multichannel closely to detect
Myopia prevention posture algorithm, can greatly improve the accuracy of detection, reduce rate of false alarm.
To achieve these goals, the present invention is by the following technical solutions realizing:It is a kind of to utilize multichannel closely
The myopia prevention posture algorithm of detection, which comprises the following steps:The first step, initialization:
1. the setting that first time uses, obtains sensor with people apart from d01, d02;(D01, d02 between 35-90cm, too far
The detection of sensor is problematic)
2. when first time uses, sensor can be stirred so that the forehead height that the height of upper road sensor is sitting in people before table
Unanimously, lower road sensor is consistent with people's chest level, by the sitting posture of adult normal person, lower road sensor 20cm height left and right,
Upper road sensor height is in 45cm or so;Child's different age group and different heights, the two values can differ.The two values
Will not embody in the algorithm, stir for detecting the correct position of human body.
3. sensor is ensured just to human body, due to the irradiating angle problem of sensor, according to sensor with a distance from people
60cm or so, a circle of its range of exposures between diameter 30cm, the chest area of human body than larger, as long as but head position
Outside mobile 15cm, just can't detect.
Second step, detection:
1. the distance of primary transducer and people, d1, d2 are gathered each second;
If 2.
A) d1 is less than d01-12cm(I.e. the current chest locations of human body than correct statuss closer to nearly desk);
B) and d2 be less than d2-15cm(Near desk simultaneously, forehead position is also in the lump near desk and low due to people for human body
Head effect, with a distance from sensor closer to)Or d2 is more than 90cm or can't detect(When human body is lain prone before desk, head position
During the extreme lower position that can be detected less than upper circuit detector, upper circuit detector can can't detect, or detect background positions);
C) and this state keep more than 8s;
Then it is believed that situation of the human body in fault.
Beneficial effects of the present invention:Using multi-way detecting, ten several scenes, and comprehensive these scenes are listed, spy is extracted
Fixed algorithm, can greatly improve the accuracy of detection, reduce rate of false alarm.
Specific embodiment
Technological means, creation characteristic, reached purpose and effect for making present invention realization is easy to understand, with reference to
Specific embodiment, is expanded on further the present invention.
This specific embodiment is employed the following technical solutions:The myopia prevention posture that a kind of utilization multichannel is closely detected is calculated
Method, which comprises the following steps:The first step, initialization:
4. the setting that first time uses, obtains sensor with people apart from d01, d02;(D01, d02 between 35-90cm, too far
The detection of sensor is problematic)
5. when first time uses, sensor can be stirred so that the forehead height that the height of upper road sensor is sitting in people before table
Unanimously, lower road sensor is consistent with people's chest level, by the sitting posture of adult normal person, lower road sensor 20cm height left and right,
Upper road sensor height is in 45cm or so;Child's different age group and different heights, the two values can differ.The two values
Will not embody in the algorithm, stir for detecting the correct position of human body.
6. sensor is ensured just to human body, due to the irradiating angle problem of sensor, according to sensor with a distance from people
60cm or so, a circle of its range of exposures between diameter 30cm, the chest area of human body than larger, as long as but head position
Outside mobile 15cm, just can't detect.
Second step, detection:
3. the distance of primary transducer and people, d1, d2 are gathered each second;
If 4.
A) d1 is less than d01-12cm(I.e. the current chest locations of human body than correct statuss closer to nearly desk);
B) and d2 be less than d2-15cm(Near desk simultaneously, forehead position is also in the lump near desk and low due to people for human body
Head effect, with a distance from sensor closer to)Or d2 is more than 90cm or can't detect(When human body is lain prone before desk, head position
During the extreme lower position that can be detected less than upper circuit detector, upper circuit detector can can't detect, or detect background positions);
C) and this state keep more than 8s;
Then it is believed that situation of the human body in fault.
Embodiment 1:Scene list
Under these scenes, the scene in incorrect sitting posture only has scene three, and other scenes are student or child just
Often study and the common situations occurred during reading a book, if these scenes are also mistaken for being incorrect posture and causing report
Alert, child can be abandoned because which is frequently reported to the police.
For ensureing the detection of these scenes, technical restriction is first found.
Technical limitations and feature have:
1. infrared short distance measurement, scope is in 5cm-60cm;The short distance measurement of ultrasound, scope is in 5cm-150cm or so;Ultrasound can
To be accurate to cm ranks, infrared precision is substantially between 2-3cm;But impact of the ultrasound to angle and material is very big, if irradiation
Face is inclined-plane, easily causes and surveys by mistake;
2. irradiating angle is had, and irradiating angle is at 15 degree or so;Corresponding detection range is a circle, circular diameter about irradiate away from
From half;
Which 3., in range of exposures, it is impossible to specifically judge position of human body, or even it cannot be determined whether be human body, simply can only sentence
Disconnected is a shelter;And be straight-line detection.
4. detection can be to be acquired each second, and sensitivity judges the state of each second enough.
5. this case utilize ultrasonic and infrared method for comprehensive detection, it is ensured that measurement data it is accurate.But it is not restricted to low coverage inspection
Survey means, it is only necessary to which accuracy is higher can.
The present embodiment is adopted under the myopia prevention posture algorithm that multichannel is closely detected, the checking of various scenes is as follows:
In sum, the present embodiment defines several scenes, the distance between the people for extracting peculiar scene and sensor feature, carries out
Judge;Multi-way detecting, cannot tackle under several scenes in detection all the way, distinguished using the position irradiated by multi-way detecting, entered
Row judges;Initial condition sets, and obtains the distance of desk lamp and people's correct statuss using initial condition.
The ultimate principle and principal character and advantages of the present invention of the present invention has been shown and described above.The technology of the industry
Personnel it should be appreciated that the present invention is not restricted to the described embodiments, the simply explanation described in above-described embodiment and description this
The principle of invention, without departing from the spirit and scope of the present invention, the present invention also has various changes and modifications, these changes
Change and improvement is both fallen within scope of the claimed invention.The claimed scope of the invention by appending claims and its
Equivalent thereof.
Claims (5)
1. the myopia prevention posture algorithm that a kind of utilization multichannel is closely detected, it is characterised in which comprises the following steps:First
Step, initialization:
(1) setting for using for the first time, obtains sensor with people apart from d01, d02;
(2) when using for the first time, sensor can be stirred so that the forehead height that the height of upper road sensor is sitting in people before table
Unanimously, lower road sensor is consistent with people's chest level, by the sitting posture of adult normal person, lower road sensor 20cm height left and right,
Upper road sensor height is in 45cm or so;
(3) ensure sensor just to human body, as the irradiating angle of sensor is at 15 degree or so, according to sensor with a distance from people
60cm or so, a circle of its range of exposures between diameter 30cm;
Second step, detection:
(1) distance of primary transducer and people, d1, d2 are gathered each second;
(2) if (a) d1 is less than d01-12cm;B () and d2 are more than 90cm less than d2-15cm or d2 or can't detect;(c)
And this state keeps more than 8s;Then think situation of the human body in fault.
2. the myopia prevention posture algorithm that a kind of utilization multichannel according to claim 1 is closely detected, it is characterised in that institute
D2 in the step of stating (b) refer to human body near desk less than d2-15cm while, forehead position also in the lump near desk, and by
In the effect of bowing of people, with a distance from sensor closer to.
3. the myopia prevention posture algorithm that a kind of utilization multichannel according to claim 1 is closely detected, it is characterised in that institute
D2 in the step of stating (b) is more than 90cm or can't detect, and when referring to that human body is lain prone before desk, head position is detected less than upper road
During the extreme lower position that device can be detected, upper circuit detector can can't detect, or detect background positions.
4. the myopia prevention posture algorithm that a kind of utilization multichannel according to claim 1 is closely detected, it is characterised in that institute
The step of stating(c)It is that, in order to avoid the undesigned quick acting of people, the arm such as such as stretch oneself streaks sensor senses position etc. and draws
The wrong report for rising.
5. the myopia prevention posture algorithm that a kind of utilization multichannel according to claim 1 is closely detected, it is characterised in that increase
Plus the extension that the complexity of the way and increase scene of detection is this algorithm.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108257361A (en) * | 2018-03-15 | 2018-07-06 | 广东聚光电子科技有限公司 | A kind of method, apparatus, intelligent desk lamp and the storage medium of sitting posture adjustment prompting |
Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN2854723Y (en) * | 2005-12-29 | 2007-01-03 | 许永林 | Voice prompting corrector for read, write sit posture |
CN202801617U (en) * | 2012-08-09 | 2013-03-20 | 联想(北京)有限公司 | Position detecting device and electric equipment |
CN202838633U (en) * | 2012-10-16 | 2013-03-27 | 浪潮集团有限公司 | Computer infrared sitting posture correction device |
CN203689653U (en) * | 2014-01-26 | 2014-07-02 | 陈其高 | Sitting posture correction reminder |
CN204332026U (en) * | 2014-12-05 | 2015-05-13 | 李若茗 | A kind of appearance of rectifying responds to table |
CN204440620U (en) * | 2015-02-03 | 2015-07-01 | 深圳市奇胜隆实业有限公司 | A kind of sitting-posture vision protection device |
CN204682948U (en) * | 2015-06-15 | 2015-10-07 | 李世民 | A kind of posture assisting device |
US9165263B2 (en) * | 2008-11-17 | 2015-10-20 | Roger Li-Chung Wu | Vision protection method and system thereof |
CN205302590U (en) * | 2016-01-05 | 2016-06-08 | 王思博 | Appearance is reminded to student's myopia prevention |
CN105788185A (en) * | 2014-12-24 | 2016-07-20 | 刁宇童 | Method and device for monitoring sitting posture |
CN105844867A (en) * | 2016-03-18 | 2016-08-10 | 广东小天才科技有限公司 | Method and device for correcting user sitting posture |
CN106056868A (en) * | 2016-06-21 | 2016-10-26 | 东莞市卫童智能科技有限公司 | User sitting posture guiding method and device for desk lamp |
-
2016
- 2016-11-04 CN CN201610960526.3A patent/CN106530636A/en active Pending
Patent Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN2854723Y (en) * | 2005-12-29 | 2007-01-03 | 许永林 | Voice prompting corrector for read, write sit posture |
US9165263B2 (en) * | 2008-11-17 | 2015-10-20 | Roger Li-Chung Wu | Vision protection method and system thereof |
CN202801617U (en) * | 2012-08-09 | 2013-03-20 | 联想(北京)有限公司 | Position detecting device and electric equipment |
CN202838633U (en) * | 2012-10-16 | 2013-03-27 | 浪潮集团有限公司 | Computer infrared sitting posture correction device |
CN203689653U (en) * | 2014-01-26 | 2014-07-02 | 陈其高 | Sitting posture correction reminder |
CN204332026U (en) * | 2014-12-05 | 2015-05-13 | 李若茗 | A kind of appearance of rectifying responds to table |
CN105788185A (en) * | 2014-12-24 | 2016-07-20 | 刁宇童 | Method and device for monitoring sitting posture |
CN204440620U (en) * | 2015-02-03 | 2015-07-01 | 深圳市奇胜隆实业有限公司 | A kind of sitting-posture vision protection device |
CN204682948U (en) * | 2015-06-15 | 2015-10-07 | 李世民 | A kind of posture assisting device |
CN205302590U (en) * | 2016-01-05 | 2016-06-08 | 王思博 | Appearance is reminded to student's myopia prevention |
CN105844867A (en) * | 2016-03-18 | 2016-08-10 | 广东小天才科技有限公司 | Method and device for correcting user sitting posture |
CN106056868A (en) * | 2016-06-21 | 2016-10-26 | 东莞市卫童智能科技有限公司 | User sitting posture guiding method and device for desk lamp |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108257361A (en) * | 2018-03-15 | 2018-07-06 | 广东聚光电子科技有限公司 | A kind of method, apparatus, intelligent desk lamp and the storage medium of sitting posture adjustment prompting |
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