CN103000004A - Monitoring method for visibility range from eyes to screen - Google Patents
Monitoring method for visibility range from eyes to screen Download PDFInfo
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- CN103000004A CN103000004A CN2011102798775A CN201110279877A CN103000004A CN 103000004 A CN103000004 A CN 103000004A CN 2011102798775 A CN2011102798775 A CN 2011102798775A CN 201110279877 A CN201110279877 A CN 201110279877A CN 103000004 A CN103000004 A CN 103000004A
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Abstract
The invention provides a monitoring method for visibility range from eyes to a screen. The monitoring method includes presetting a safety threshold value of distance between two eyes of a human face image, performing image sampling according to a preset sampling period so as to determine actual distance between the two eyes of the human face image; determining M images during sampling, calculating average of the actual distance between two eyes of each of the M images, and prompting the users to regulate the visibility range from the eyes to the screen if the average is higher than the safety threshold valve; otherwise, returning to sampling. By the monitoring method, the visibility range of the user can be monitored in real time, the user can be prompted to keep moderated distance from the screen, health of the user is guaranteed, and intelligent and personalized service are provided for the users.
Description
Technical field
The present invention relates to the communications field, particularly a kind of human eye is to the method for supervising of screen sighting distance.
Background technology
At present, electronic product is more and more, such as computing machine, notebook computer, portable terminal, e-book etc.In the process of using these electronic products, the user tends to read for a long time the content in the screen, causes the tired of human eye.In order to reduce the uncomfortable impression of human eye, the user is close screen unconsciously, thereby alleviates the human eye burden, reaches the purpose of light reading.
But the medical expert advises that human eye should remain on outside certain scope to the sighting distance of screen, otherwise is unfavorable for the protection to eyesight.In the actual conditions, user normally active consciousness just suitably pulls open sighting distance after the variation of sighting distance.Such as: the user utilizes the cell phone reading electronic document, and after a period of time, it is tired that human eye can be felt, its sighting distance also can shorten unconsciously.When the user recognizes that oneself is too near apart from screen, can initiatively space out, protect eyes with this.
Therefore, this method of prior art needs user's active consciousness to the variation of sighting distance, and equipment itself can not provide intelligent, humanitial service for the user, and the user experiences very poor.
Summary of the invention
The invention provides a kind of human eye to the method for supervising of screen sighting distance, can the Real Time Monitoring user to the sighting distance of screen, and initiatively prompting user is adjusted to suitable sighting distance, with protection user eyesight, for the user provides intelligent, human nature service.
For the foregoing invention purpose, the technical scheme that the present invention proposes is:
A kind of human eye is to the method for supervising of the sighting distance of screen, set in advance two eye distances in the facial image from secure threshold, described secure threshold is that human eye is determined to the sighting distance of screen during according to the camera collection facial image; The method also comprises:
A, by the default sampling period user's face is carried out image sampling, determine two actual distance value in the facial image according to image analytical method; And in gatherer process, determine M width of cloth image, the amplitude of variation of its M two actual distance value is no more than default difference threshold value; Described M is the positive integer greater than 1;
B, calculate the mean value of described M two actual distance value, if this mean value greater than described secure threshold, then prompting user is adjusted human eye to the sighting distance of screen; Otherwise, return steps A.
The invention provides a kind of human eye to the method for supervising of the sighting distance of screen, determine the actual range between the human eye in the image by the collection of people's face and image analysis technology, this apart from correspondence the user to the sighting distance of screen.Collection the human eye actual range of determining and the secure threshold of presetting are compared, and determine whether and adjust sighting distance by prompting user according to comparative result, thereby reach protection user eyesight, for it provides purpose intelligent, human nature service.
Description of drawings
Fig. 1 is method flow diagram of the present invention.
Fig. 2～Fig. 3 is the method flow diagram of using the present invention program's embodiment.
Embodiment
The present invention pre-determine two eye distances in the facial image from secure threshold, when the user reads screen, with camera Real Time Monitoring user, and gather lower user's facial image.Then, with the secure threshold of two actual range in the facial image that collects and setting relatively, determine according to comparative result whether the user is too near apart from screen, if too closely then reminding user is adjusted sighting distance.
Fig. 1 is that the present invention realizes human eye to the process flow diagram of the method for supervising of the sighting distance of screen, and the method comprises:
Step 101: set in advance two eye distances in the facial image from secure threshold, described secure threshold is that human eye is determined to the sighting distance of screen during according to the camera collection facial image.
Step 102: by the default sampling period user's face is carried out image sampling, determine two actual distance value in the facial image according to image analytical method; Determine M width of cloth image in gatherer process, the amplitude of variation of its M two actual distance value is no more than default difference threshold value; Described M is the positive integer greater than 1.
Step 103: the mean value that calculates M two actual distance value.
Step 104: if the mean value that step 103 calculates greater than secure threshold, then execution in step 105; Otherwise, return step 102.
Step 105: prompting user is adjusted human eye to the sighting distance of screen.
In the practical application, according to dissimilar screens, human eye has a safe sight distance usually to the sighting distance of screen.Such as: the user reads mobile phone, and the expert just advises that safe sight distance should remain on more than 35 centimetres.If less than 35 centimetres, will be unfavorable for the protection of eyes of user.Certainly, the screen of other types may have different safe sight distances, and its value is determined voluntarily by the user who uses this programme, repeats no more herein.
No matter be the screen of which kind of equipment, take lower user's face-image when camera, there is a kind of corresponding relation in user's two distance values in the sighting distance of screen and the facial image, and so, two distance just can be used as secure threshold in the facial image of taking under the safe sight distance.When the too close screen of user, less than safe sight distance, take in the lower facial image two eye distances from just should be greater than secure threshold, otherwise two eye distances are from just should be less than secure threshold in the facial image under the shooting.Therefore, the present invention program can utilize this principle Real Time Monitoring user sighting distance, for the user provides personalized, intelligentized service.
For the present invention program is described better, the below is elaborated with a preferred embodiment.
In the present embodiment, suppose that the user will read the screen of mobile phone, its safe sight distance is made as 35 centimetres.The user starts in advance the cell-phone camera camera function and takes facial image in the safe sight distance position, that is: at supervisory user human eye first during to the sighting distance of screen, utilize camera that the user is gathered facial image, this user's eye is the safe sight distance that meets the demands to the sighting distance of screen.Afterwards, determine two distance values in the facial image according to image analytical method, and with it as secure threshold.Present embodiment hypothesis secure threshold is 120 pixels.For convenience of description, embodiment will directly use in the number presentation video of pixel two distance below.
In addition, in the practical application, camera is when gathering facial image, and the data that collect may fluctuate, and so, the distance value between analyze from facial image two is abnormal fluctuation data.In order to filter out these fluctuation data, utilize normal data to calculate two actual ranges, present embodiment is specially provided with a normal data buffer zone, is used for a store M normal data, be provided with simultaneously an abnormal data buffer zone, be used for preserving fluctuation data to be tested.
Fig. 2 is that present embodiment monitoring human eye is to the method flow diagram of the sighting distance of screen.As shown in Figure 2, the method comprises:
The sampling period here be camera to the interval time of user's face shots photo, such as 10 seconds, the concrete time can be determined voluntarily by the user.
Image analytical method is existing method, present embodiment can adopt the methods such as regional characteristics analysis to analyze people's face from image, from people's face, determine again the eyes position, calculate at last the pixel value number between two, with this pixel value number as the actual distance value between two.
Here, if the gap of the current data that calculates and historical data is larger, amplitude of variation surpasses default difference threshold value in other words, illustrates that current data may be fluctuation data, can temporarily be kept at it in abnormal data buffer zone.After utilizing following step 206,208,209,210 etc. to be confirmed to be the data that fluctuate, again it is filtered out.
If do not have data in the step 206 abnormal data buffer zone, then execution in step 208; Otherwise, execution in step 209.
Here, the normal data buffer zone can only be preserved M data, so only stay a up-to-date M data at every turn, abandons old data, thus the conserve memory resource.
This step is whether the fluctuate committed step of data of specified data, that is: will gather established data and current data last time relatively, amplitude of variation is too large in other words if differ greatly, think that then upper secondary data is the fluctuation data, produced mistake thereby in the time of might being image acquisition abnormal conditions have occured, can not be directly as the data of calculating.If difference is little, think that then gathering current data and last time established data all is normal data, being user self to the sighting distance of screen substantial variation has occured, need to follow-uply judge whether this variation is normal, if undesired, too near such as the distance screen, just need reminding user.
Substantial variation has occured in this step explanation user's self sighting distance, frontly collects " fluctuation data " twice and is actually normal data, need to be according to its further check.
Whether step 212, the number of judging data in the normal data buffer zone reach M, if so, and execution in step 213; Otherwise, return step 201.
Step 214, prompting user are adjusted human eye to the sighting distance of screen.In the practical application, the method for prompting user can adopt the several different methods such as sound or literal, repeats no more herein.
So far, present embodiment has been finished the monitoring of user's human eye to the screen sighting distance.Wherein, step 201～212 have realized how determining M width of cloth image in sampling process, and the amplitude of variation of two actual distance value is no more than default difference threshold value in this M width of cloth image.Step 213～214th determines whether prompting user adjustment according to the mean value of this M two actual distance value.
After prompting user, can also further implement following steps in the practical application, to provide Intelligent Service as the user better:
Step 215, shortening sampling period.
After confirming that the user need to adjust sighting distance, for the better change of supervisory user, present embodiment has shortened the sampling period, such as sampling period of 10 seconds is shortened to 2 seconds.Certainly, if still adopt the original sampling period also can realize in the practical application, this step can be omitted.
Step 216, when arriving the new sampling period, user's face is carried out image sampling; Determine two actual distance value in the current facial image that samples according to image analytical method.
Whether two actual distance value described in step 217, the determining step 216 are less than secure threshold, and if so, then execution in step 218; Otherwise, return step 216.
Step 218, cancellation are to user's prompting, and execution in step 219.
Here, step 216,217,218 only utilizes an image to determine whether the user returns to suitable sighting distance.In case find to return to suitable sighting distance, point out with regard to immediate cancel.Certainly, in the practical application, can also utilize the mean value of a plurality of facial images that collect to determine that whether the user returns to sighting distance, repeats no more herein.
The ratio of two actual distance value in step 219, the mean value that calculates M two actual distance value in the normal data buffer zone and the step 216 according to the font size of this ratio adjustment screen display, returns step 201 again.
M described here two actual distance value refer to last value of preserving in the step 213, can be kept at other buffer zone according to the determined value of image that gathers after the step 214; Perhaps, last value of preserving in the step 213 is remained into other storage spaces, in order to avoid covered by new data, and still be saved in normal data buffer zone or abnormal data buffer zone according to the determined value of image that gathers after the step 214.
In addition, owing to determine that variation has occured two tired sighting distances that make of user, so, after the user returns to safe sight distance, can also further the font of screen be amplified according to a certain percentage, thereby the user can also easily be read in this step.
Present embodiment utilizes the normal data buffer zone to preserve M normal data, utilizes the abnormal data buffer zone to preserve fluctuation data to be tested.When collection and definite M normal data, if the amplitude of variation of this M data is little, illustrate that the current sighting distance of user is stable, just can utilize mean value and the secure threshold of this M normal data to compare, judge according to comparative result whether the user should adjust sighting distance.
The below gives an example according to the method for present embodiment again:
Suppose: safe sight distance is 35 centimetres, and secure threshold is 120 pixels, and the difference threshold value is 5 pixels, sampling period is 10 seconds, the normal data buffer zone can be preserved 3 normal data, and the abnormal data buffer zone can be preserved fluctuation data to be tested, all is empty when original state.
Gather for the first time: determine that two actual distance value are 115 pixels in the image, it is saved in the normal data buffer zone.
Gather for the second time: determine that two actual distance value are 114 pixels in the image, also it is saved in the normal data buffer zone.
Gather for the third time: determine that two actual distance value are 180 pixels in the image, surpassed the difference threshold value with the difference of the mean value of historical data in the normal data buffer zone, then it is saved in the abnormal data buffer zone, as fluctuation data to be tested.
Gather for the 4th time: determine that two actual distance value are 119 pixels in the image, surpassed the difference threshold value with the value difference value in the abnormal data buffer zone, illustrate that gathering determined value last time (for the third time) is fluctuation data, should filter out, therefore with the deletion of the value in the abnormal data buffer zone, this value is saved in the normal data buffer zone.At this moment, preserved 3 normal data in the normal data buffer zone, but its mean value is (115+114+119)/3=116 pixel, less than secure threshold, so this prompting user not, continue monitoring.
Gather for the 5th time: determine that two actual distance value are 113 pixels in the image, the oldest data (115) in the deletion normal data buffer zone, and the value that this collection is determined is kept at the normal data buffer zone.3 normal data are arranged, but mean value (114+119+113)/3=115.33 in the normal data buffer zone, less than secure threshold, so this prompting user not, continue monitoring.
Gather for the 6th time: can't analyst's face in the image, abandon.
Gather for the 7th time: determine that two actual distance value are 200 pixels in the image, with the difference of mean value (115.33) in the normal data buffer zone greater than the difference threshold value, so it is saved in the abnormal data buffer zone, as fluctuation data to be tested.
Gather for the 8th time: determine that two actual distance value are 118 pixels in the image, surpassed the difference threshold value with the value difference value in the abnormal data buffer zone, illustrate that gathering determined value last time (the 7th time) is fluctuation data, should filter out, therefore with the deletion of the value in the abnormal data buffer zone, this value is saved in the normal data buffer zone.At this moment, preserved 3 normal data in the normal data buffer zone, but its mean value is (113+118+119)/3=116.67 pixel, less than secure threshold, so this prompting user not, continue monitoring.
Gather for the 9th time: determine that two actual distance value are 150 pixels in the image, with the difference of mean value (116.67) in the normal data buffer zone greater than the difference threshold value, so it is saved in the abnormal data buffer zone, as fluctuation data to be tested.
Gather for the tenth time: determine that two actual distance value are 152 pixels in the image, do not have the difference threshold value with value difference value in the abnormal data buffer zone, illustrate that gathering determined value last time (the 9th time) is not the data that fluctuate, but normal data.Therefore, empty the normal data buffer zone, the value (152) that value (150) and this collection of abnormal data buffer zone are determined is saved in the normal data buffer zone.
The tenth once gathers: determine that two actual distance value are 155 pixels in the image, it is saved in the normal data buffer zone.At this moment, the normal data buffer zone has been preserved 3 normal data, and its mean value is (150+152+155)/3=152.33, greater than secure threshold 120, therefore think that user's sighting distance less than safe sight distance, should adjust sighting distance by prompting user, and preserve this mean value.
Simultaneously, for the better sighting distance variation of supervisory user, will the sampling period shorten to 2 seconds from 10 seconds.
The tenth secondary acquisition: determine that two actual distance value are 142 pixels in the image, greater than secure threshold, continue prompting user.
Gather for the 13 time: determine that two actual distance value are 112 pixels in the image, less than secure threshold, think that the user has adjusted to suitable sighting distance, and greater than 35 centimetres of safe sight distances, then cancel the prompting to the user.
Simultaneously, the value 112 of determining according to mean value 152.33/ this collection of preserving calculates ratio 1.36, therefore the font of current screen is amplified 1.36 times, makes the user continue light reading.Suppose that former font is No. 36, then font should be adjusted into 36 * 1.36=49 number.
Certainly, after the adjustment, can also automatically be reverted to 10 seconds the sampling period, normal data buffer zone and abnormal data buffer zone are all emptied, prepare to gather next time.
Use the present invention program; utilize image acquisition and image analytical method to determine two actual distance value; itself and the secure threshold of presetting are compared; directly just can judge accurately according to comparative result whether the user should adjust sighting distance; thereby for the user provides personalized, intelligentized service, the protection user health.
The above only is preferred embodiment of the present invention, and is in order to limit the present invention, within the spirit and principles in the present invention not all, any modification of making, is equal to replacement, improvement etc., all should be included within the scope of protection of the invention.
Claims (4)
1. a human eye is characterized in that to the method for supervising of screen sighting distance, set in advance two eye distances in the facial image from secure threshold, described secure threshold is that human eye is determined to the sighting distance of screen during according to the camera collection facial image; The method also comprises:
A, by the default sampling period user's face is carried out image sampling, determine two actual distance value in the facial image according to image analytical method; And in gatherer process, determine M width of cloth image, the amplitude of variation of its M two actual distance value is no more than default difference threshold value; Described M is the positive integer greater than 1;
B, calculate the mean value of described M two actual distance value, if this mean value greater than described secure threshold, then prompting user is adjusted human eye to the sighting distance of screen; Otherwise, return steps A.
2. method according to claim 1 is characterized in that, described steps A comprises:
A1, when arriving the default sampling period, user's face is carried out image sampling;
A2, determine two actual distance value in the current facial image that samples according to image analytical method, and as current data;
A3, judge whether the normal data buffer zone preserves historical data, described historical data is two actual distance value in the facial image of before this sampling, if do not have, then described current data is saved in the normal data buffer zone, and returns step a1; Otherwise, execution in step a4;
A4, the mean value of described current data and all historical datas is compared, if the absolute value of its difference surpasses default difference threshold value, then execution in step a5; Otherwise, when the normal data buffer zone is expired, abandon the oldest data, more described current data is kept in the normal data buffer zone, afterwards execution in step a7; Perhaps the normal data buffer zone less than the time, directly described current data is kept in the normal data buffer zone, afterwards execution in step a7;
If do not have data in the a5 abnormal data buffer zone, then directly described current data is kept in the described abnormal data buffer zone, again execution in step a1; Otherwise, execution in step a6;
A6, with the data in described current data and the abnormal data buffer zone relatively, if the absolute value of its difference surpasses described difference threshold value, then abandon the data in the described abnormal data buffer zone, and described current data is stored in the described normal data buffer zone, again execution in step a7; Otherwise, empty the data of normal data buffer zone, data and the current data of abnormal data buffer zone all is stored in the described normal data buffer zone, return again step a1;
Whether a7, the number of judging data in the described normal data buffer zone reach M, if so, and execution in step B; Otherwise, return step a1.
3. method according to claim 2 is characterized in that, the described prompting user of step B is adjusted human eye after the sighting distance of screen, and the method further comprises:
X1, shorten the described sampling period;
X2, when arriving the new sampling period, user's face is carried out image sampling; Determine two actual distance value in the current facial image that samples according to image analytical method;
Whether two actual distance value if so, then cancel prompting to user less than described secure threshold among X3, the determining step X2, and execution in step X4; Otherwise, return step X2;
The ratio of two actual distance value among the mean value of the described M of X4, calculation procedure B two actual distance value and the step X2 according to the font size of this ratio adjustment screen display, returns steps A again.
4. method according to claim 1 is characterized in that, described set in advance two eye distances in the facial image from the method for secure threshold comprise:
During to the sighting distance of screen, utilize camera that the user is gathered facial image at supervisory user human eye first, this user's eye is the safe sight distance that meets the demands to the sighting distance of screen; Determine two distance values in the facial image according to image analytical method, and with it as secure threshold, the corresponding described safe sight distance of described secure threshold.
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| WO2021042518A1 (en) * | 2019-09-06 | 2021-03-11 | 平安科技（深圳）有限公司 | Face recognition-based font adjustment method, apparatus, device, and medium |
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