CN109948435A - Sitting posture prompting method and device - Google Patents
Sitting posture prompting method and device Download PDFInfo
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- CN109948435A CN109948435A CN201910101151.9A CN201910101151A CN109948435A CN 109948435 A CN109948435 A CN 109948435A CN 201910101151 A CN201910101151 A CN 201910101151A CN 109948435 A CN109948435 A CN 109948435A
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Abstract
The present invention provides a kind of sitting posture prompting method, includes the following steps: the texture image and depth image that acquire target;Judge whether the target is in learning state according to the texture image and/or depth image;When the target is in learning state, the texture image and/or depth image are handled to obtain the sitting posture of the target;Judge whether the sitting posture complies with standard sitting posture, when the sitting posture is not inconsistent standardization sitting posture, issues related prompting or execute relevant operation.The present invention also provides corresponding sitting posture reminders, and target is carried out sitting posture identification and reminded to be effectively improved health problem caused by incorrect sitting-pose using depth image, texture image.
Description
Technical field
The present invention relates to posture alignment technique field more particularly to a kind of sitting posture prompting method and devices.
Background technique
Studies have shown that current student that must be near-sighted is more and more, the basic reason for causing child's myopia is to be chronically at
In incorrect sitting-pose.Do not rectify for example, child during doing the homework, can usually generate sitting posture, writing posture is incorrect, sighting distance
It crosses close, visual angle not just, the problem of vision chronic fatigue, if things go on like this will result in the consequence of myopia, brought to study, life all
It is how inconvenient and worried, in addition, being chronically in the state of incorrect sitting-pose, also easily causes spinal curvature or lateral bending to deform, cause
Crookback seriously affects psychosomatic development.
And in real life, achieve the purpose that form outside healthy sitting posture habit except through artificially observing and correcting, also
Have and compares typical method and have based on wearable device method, based on artificial intelligence approach and based on the method for range image analysis.
But otherwise cost is very high, however effect is undesirable, otherwise it is inconvenient to use, it is difficult to effectively promote.
Therefore, a kind of effective sitting posture prompting method and device is also lacked, in the prior art with effective protection student
Eyesight and health.
Summary of the invention
To solve the above problems, the present invention proposes a kind of sitting posture prompting method, comprising: acquire the texture image and depth of target
Spend image;Judge whether the target is in learning state according to the texture image and/or depth image;At the target
When learning state, the texture image and/or depth image are handled to obtain the sitting posture of the target;Described in judgement
Whether sitting posture complies with standard sitting posture, when the sitting posture is not inconsistent standardization sitting posture, issues related prompting or executes relevant operation.
In one of the embodiments, the sitting posture include body posture, movement, sighting distance, expression, in hand motion extremely
Few one kind.
The judgement of the learning state includes persistently coagulating to learning object to the target in one of the embodiments,
It is detected between apparent time.
In one of the embodiments, the method further includes: calculate preset time period in each at times in
The ratio of the sitting posture total quantity of the target in the quantity and the preset time period of the sitting posture for not being inconsistent standardization sitting posture, with
The sitting posture for obtaining target changes with time trend within a preset period of time.
In one of the embodiments, the method further includes: between the sitting posture to current goal and standard sitting posture
Difference current sitting posture is evaluated as Appreciation gist.
In one of the embodiments, the method further includes: according to the texture image and/or depth image pair
Desktop article is identified to judge messy degree.
The present invention also proposes a kind of sitting posture reminder, comprising: acquisition equipment, for acquiring the texture image and depth of target
Spend image;Output equipment is reminded for issuing;Processor is connected with the acquisition equipment, output equipment, receives the texture
Image and/or the depth image, and judge whether the target is according to the texture image and/or the depth image
Learning state;And when the target is in learning state, the texture image and/or depth image are handled to obtain
Take the sitting posture of the target;Judge whether the sitting posture complies with standard sitting posture, when the sitting posture is not inconsistent standardization sitting posture, issues
Relevant operation is reminded or executed to correlation.
In one of the embodiments, the sitting posture include body posture, movement, sighting distance, expression, in hand motion extremely
Few one kind.
The judgement of the learning state includes persistently coagulating to learning object to the target in one of the embodiments,
It is detected between apparent time.
The processor further executes in one of the embodiments: not meeting mark described in calculating in preset time period
The ratio of the sitting posture total quantity of the target in the quantity of the sitting posture of quasi- sitting posture and the preset time period, to obtain the seat of target
Appearance changes with time trend.
The processor further executes in one of the embodiments: to the sitting posture of current goal and standard sitting posture it
Between difference current sitting posture is evaluated as Appreciation gist.
The processor further executes in one of the embodiments: according to the texture image and/or depth image
Desktop article is identified to judge messy degree.
Sitting posture prompting method and device provided by the invention, by the texture information and/or depth information of acquisition to target
Sitting posture be monitored, when the sitting posture of target is not inconsistent standardization sitting posture, target is reminded in time, is avoided when target exists
Do not have under personal monitoring for a long time in incorrect sitting-pose, to affect vision and health.In addition, sitting posture prompting side provided by the invention
Whether method and device are in learning state first with the image information identification active user of acquisition, if so, again to the sitting posture of target
It is identified, it can be to avoid the false alert as caused by the abnormal sitting postures such as rest.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of sitting posture reminder in one embodiment of the invention;
Fig. 2 is the structural schematic diagram of sitting posture reminder in another embodiment of the present invention;
Fig. 3 is the structural schematic diagram of sitting posture prompting system in one embodiment of the invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical solution in the embodiment of the present invention is explicitly described, it is clear that described embodiment is the present invention
A part of the embodiment, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not having
Every other embodiment obtained under the premise of creative work is made, shall fall within the protection scope of the present invention.
Fig. 1 is please referred to, Fig. 1 is the structural schematic diagram of sitting posture reminder 10 in one embodiment of the invention.Device 10 wraps
Acquisition equipment 100, output equipment 110 are included, and the processor 120 being connected respectively with acquisition equipment 100, output equipment 110.Dress
It can also include some supporting structures, functional module etc. that 10, which are set, according to its form difference, such as in some embodiments, device
10 can be the desk lamp with sitting posture prompting function, desk, robot etc..
Acquisition equipment 100 is used to acquire the depth image and texture image of target.Wherein, acquisition equipment 100 can be base
In structure light, binocular, TOF (time flight algorithm) technology depth camera, in one embodiment, acquisition equipment 100 include
Structure light depth camera and texture camera, with sampling depth image and texture image.The acquisition frequency of depth image and texture image
Rate can be the same or different, and be set accordingly according to specific functional requirement, for example be adopted with the frequency translation of 60FPS
Collect depth image and texture image, finally obtains the depth image and texture image of 30FPS respectively.Texture image includes visible
Light image and black light image, it is seen that light image includes color image, White-light image;Black light image includes near-infrared figure
Picture, thermal infrared images, radioscopic image etc..
In one embodiment, the 100 collected depth image of institute of acquisition equipment is further registrated with texture image, i.e.,
Find the corresponding relationship in depth image and texture image between each pixel by registration Algorithm, with eliminate therebetween due to
Parallax caused by the difference of spatial position.Registration can be completed by application specific processor in acquisition equipment 100, can also be by outside
Processor is completed, for example is completed by processor 120.Multiple functions may be implemented in depth image and texture image after registered,
For example object detection and identification can be accelerated.In one embodiment, object detection first can be carried out to texture image, recycled
Pixel corresponding relationship directly orients the object in depth image, once calculates the object detection of depth image it is possible thereby to reduce
Method;In one embodiment, it first can carry out object detection by the texture image to previous frame, carry out depth image in next frame and adopt
When collection, the depth value of the pixel on object position is only obtained, i.e., the depth image of object parts is only exported, to reduce depth
Image zooming-out algorithm calculation amount is spent, while reducing data transfer bandwidth.Conversely, object detection first can also be carried out to depth image
Or identification, recycle pixel corresponding relationship to accelerate detection or identification to object in texture image.
Processor 120 is used to receive the depth image and/or texture image that acquisition equipment 100 acquires, and according to the line
Reason image and/or depth image judge whether target is in learning state, when the target is in learning state, to the line
Reason image and/or depth image are further processed to obtain the sitting posture of the target, secondly judge whether the sitting posture accords with
Standardization sitting posture then issues related prompting or executes relevant operation when the sitting posture is not inconsistent standardization sitting posture.Optionally, exist
In one embodiment, processor 120 can first identify the facial expression of target according to texture image, with the learning state to target
Tentatively judged.When determining that target is in learning state, processor 120 is calculated and is handled to depth image again, with
It obtains the sitting posture of the target and judges whether the sitting posture complies with standard sitting posture, when the sitting posture is not inconsistent standardization sitting posture,
Prompting instruction is then executed, such as in one embodiment, processor 120 generates related remind and instructs and by the output equipment
110 output alerting signals are to remind the target.
In some embodiments, the judgement that processor 120 carries out learning state includes: Face datection, recognition of face, sight
Detection, learning object detection and etc..For example whether human eye sight is persistently stared within a certain period of time where learning object
Region detected, if continue gaze duration be more than a certain threshold value, then it is assumed that be in learning state.Learning object can be book
The equipment such as sheet, e-book, computer, plate are also possible in the study such as presented learning Content, such as text, picture, video
Hold.In one embodiment, it can also include the identification and judgement to target expression that processor 120, which carries out the judgement of learning state,
Deng.
In some embodiments, it includes the inspection to intended body posture and/or movement that processor 120, which carries out the judgement of sitting posture,
It surveys and identification further includes in one embodiment the detection and identification to human eye and learning object distance (sighting distance).In a reality
Apply in example, to the detection of body posture and movement and identification can based on texture image and/or depth image to Whole Body or
Person's upper part of the body artis (skeleton) detects, and according to the relative positional relationship pair in framework information between head part and trunk
Current sitting posture is identified, further, detection and knowledge to movement then may be implemented to variation of the posture in time series
Not.It is understood that in some cases, when body integrally leans forward or swings back, although the opposite position on head and trunk
Set correct, but sight is close to or far from learning object, therefore, it is necessary to further be detected to sighting distance, in conjunction with body posture,
Sighting distance can more accurately reflect whether the sitting posture of current goal is correct.It is understood that in some embodiments, sitting posture is also
It may include other features, such as human face expression, hand motion etc. except body posture, sighting distance.
The sitting posture for the target that processor 120 further will acquire is compared with standard sitting posture, when the sitting posture of monitoring objective
In preset standard sitting posture threshold range, then standard sitting posture is regarded as, otherwise, issues related prompting or execute relevant operation,
Such as it generates dependent instruction and the target is reminded by the output equipment 110.
Optionally, in one embodiment, output equipment can be in display panel, buzzer, microphone or loudspeaker
One or more.For example, processor 120 can be generated related remind and instruct when the sitting posture of target is not inconsistent standardization sitting posture,
To control the display panel the related prompting of display, or control buzzer, microphone or loudspeaker issue related voice to remind target
Sitting posture is adjusted, the combination of a variety of alerting patterns is also possible to.
In addition, reminding instruction other than it can be directly output to current goal, can also be held according to sitting posture testing result
The some other relevant operations of row, for example export to cloud, other terminals to perform corresponding processing, for example data save, statistics
And real time monitoring etc..
It is understood that processor 120 can be the single processor (such as ARM, CPU) in device 10
The combination of various processor be can be (such as while comprising embedded microprocessor (MPU) and embedded microcontroller
(MCU)), it is also possible to the (not shown)s such as the cloud processor being independently arranged with device 10.
Referring to figure 2., device 10 can also include the memory being connected with processor 120 in one of the embodiments,
130.Memory 130 is used to store the sitting posture of target.In this way, processor 120 can be calculated according to the sitting posture of stored target
Change with time trend to its sitting posture, or calculate in preset time period the quantity of the sitting posture for not being inconsistent standardization sitting posture with
The ratio of the sitting posture total quantity of the target in the preset time period, to obtain " fraction defective " of the sitting posture of target.It can be with
Fraction defective is calculated according to each " fraction defective " at times in default total period to change with time trend.For example,
The quantity and target of the sitting posture for not being inconsistent standardization sitting posture in each small period can be calculated with 1 hour for a period
Sitting posture total quantity ratio, changed with time trend with obtaining the sitting posture of target, and further judged according to variation tendency
The learning state of target.It is understood that memory 130 can be located in device 10, it is also possible to cloud memory.
Optionally, in one embodiment, processor 120 can also in real time to the sitting posture of current goal and standard sitting posture it
Between difference (such as marking) is evaluated to current sitting posture as Appreciation gist.For example, it is assumed that standard sitting posture is set as 10 points,
When the sitting posture of current goal is in preset standard sitting posture threshold range, then 10 scores are made to current sitting posture, and sit according to current
Appearance and the deviation size of standard sitting posture carry out corresponding deduction, it is to be understood that deviation is bigger, and score is lower.In addition, processing
Device 120 can remind target evaluation result (i.e. score) by output equipment, for example, passing through display panel for score
Show or carries out voice reminder by voice device (microphone, loudspeaker);Or statistics certain time (such as daily)
Evaluation result in section is changed with time trend with monitoring sitting posture, to further obtain the learning state of target.
Optionally, in one embodiment, when occurring more people in scene, processor 120 will be identified from depth image
Multiple human bodies, and according to the obtained depth information of calculating, choose nearest people with a distance from acquisition equipment as identification object or
Person is using the people of field of view center as identification object.
Referring to figure 3., the present invention also provides a kind of sitting posture prompting systems 30 comprising sitting posture reminder 10 and with it is described
The connected mobile terminal 20 of the communication of sitting posture reminder 10, the mobile terminal 20 is for receiving the sitting posture reminder transmission
Data, to realize long-range monitoring to target.Wherein, device 10 can pass through interface (not shown) and mobile terminal 20
Carry out it is connected, to further realize transmission of data, such as I/O interface, network interface, USB interface, WIFI interface etc..
It is understood that the processor 120 in device 10 can adopt various monitoring data, such as acquisition equipment 100
The depth image and/or texture image of collection are sent to mobile terminal 20, can also not be inconsistent standardization for described in preset time period
The ratio of the sitting posture total quantity of the monitoring objective is sent to mobile terminal in the sitting posture quantity and the preset time period of sitting posture
20, or the data such as the evaluation result evaluated current sitting posture can also be sent to mobile terminal 20, to realize to institute
State the long-range monitoring of monitoring objective.
Optionally, in one embodiment, when acquisition the continuous N frame of equipment 100 acquisition image in all do not recognize mesh
Mark, then judge that target has been moved off, at this point, processor 120 can be according to the depth image and/or texture image received to table
Face article is identified to judge messy degree, and counts time departure, when article is messy is more than certain time, is then sent and is mentioned
It wakes up, such as sends short message, mail, CRBT waits until on mobile terminal, to realize the long-range monitoring to the monitoring objective.
Optionally, in one embodiment, mobile terminal can be in mobile phone, tablet computer or intelligent wearable device
It is at least one.
Sitting posture prompting method and device provided by the invention, by the texture information of acquisition and depth information to the seat of target
Appearance is monitored, and when the sitting posture of target is not inconsistent standardization sitting posture, is reminded in time target, is avoided when target is not having
Under personal monitoring for a long time be in sitting posture, thus affect vision and health.In addition, sitting posture prompting method provided by the invention and dress
It sets, whether learning state is in first with the texture information identification active user of acquisition, if so, knowing again to the sitting posture of target
It not, can be to avoid the false alert as caused by the abnormal sitting postures such as rest.
The above content is a further detailed description of the present invention in conjunction with specific preferred embodiments, and it cannot be said that
Specific implementation of the invention is only limited to these instructions.For those skilled in the art to which the present invention belongs, it is not taking off
Under the premise of from present inventive concept, several equivalent substitute or obvious modifications can also be made, and performance or use is identical, all answered
When being considered as belonging to protection scope of the present invention.
Claims (10)
1. a kind of sitting posture prompting method, which comprises the steps of:
Acquire the texture image and depth image of target;
Judge whether the target is in learning state according to the texture image and/or depth image;
When the target is in learning state, the texture image and/or depth image are handled to obtain the mesh
Target sitting posture;
Judge whether the sitting posture complies with standard sitting posture, when the sitting posture is not inconsistent standardization sitting posture, issues related prompting or hold
Row relevant operation.
2. sitting posture prompting method according to claim 1, which is characterized in that the sitting posture includes body posture, movement, view
Away from, at least one of expression, hand motion.
3. sitting posture prompting method according to claim 1, which is characterized in that the judgement of the learning state includes to described
Target detects the lasting gaze duration of learning object.
4. sitting posture prompting method according to claim 1, which is characterized in that the method also includes:
Calculate in preset time period the quantity of each sitting posture for not being inconsistent standardization sitting posture at times and it is described each
The ratio of the sitting posture total quantity of the target, is changed with time within a preset period of time at times with obtaining the sitting posture of target
Trend;
Or,
Difference between sitting posture to current goal and standard sitting posture evaluates current sitting posture as Appreciation gist.
5. sitting posture prompting method according to claim 1, which is characterized in that the method also includes:
Desktop article is identified according to the texture image and/or depth image to judge messy degree.
6. a kind of sitting posture reminder characterized by comprising
Equipment is acquired, for acquiring the texture image and depth image of target;
Output equipment is reminded for issuing;
Processor is connected with the acquisition equipment, output equipment, is used for: receiving the texture image and/or the depth map
Picture, and judge whether the target is in learning state according to the texture image and/or the depth image;And
When the target is in learning state, the texture image and/or depth image are handled to obtain the mesh
Target sitting posture;
Judge whether the sitting posture complies with standard sitting posture, when the sitting posture is not inconsistent standardization sitting posture, issues related prompting or hold
Row relevant operation.
7. sitting posture reminder according to claim 6, which is characterized in that the sitting posture includes body posture, movement, view
Away from, at least one of expression, hand motion.
8. sitting posture reminder according to claim 6, which is characterized in that the judgement of the learning state includes to described
Target detects the lasting gaze duration of learning object.
9. sitting posture reminder according to claim 6, which is characterized in that the processor further includes executing:
Calculate the quantity with the target in the preset time period of the sitting posture for not being inconsistent standardization sitting posture in preset time period
Sitting posture total quantity ratio, changed with time trend with obtaining the sitting posture of target;
Or,
Difference between sitting posture to current goal and standard sitting posture evaluates current sitting posture as Appreciation gist.
10. sitting posture reminder according to claim 6, which is characterized in that the processor further executes:
Desktop article is identified according to the texture image and/or depth image to judge messy degree.
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CN110648509A (en) * | 2019-09-25 | 2020-01-03 | 珠海格力电器股份有限公司 | Method, device and system for generating prompt message |
CN110889322A (en) * | 2019-10-09 | 2020-03-17 | 深圳市九洲电器有限公司 | Method for preventing sedentary sitting and related product |
CN111515957A (en) * | 2020-05-13 | 2020-08-11 | 暨南大学 | Desktop robot system and desktop robot for sitting posture detection and language chat |
CN111601088A (en) * | 2020-05-27 | 2020-08-28 | 大连成者科技有限公司 | Sitting posture monitoring system based on monocular camera sitting posture identification technology |
WO2021138964A1 (en) * | 2020-01-10 | 2021-07-15 | 鄢家厚 | Read/write distance identification method based on smart watch |
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 |
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CN110648509A (en) * | 2019-09-25 | 2020-01-03 | 珠海格力电器股份有限公司 | Method, device and system for generating prompt message |
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