CN104580693B - A kind of user's heads-down posture detection method and device - Google Patents
A kind of user's heads-down posture detection method and device Download PDFInfo
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- CN104580693B CN104580693B CN201410737580.2A CN201410737580A CN104580693B CN 104580693 B CN104580693 B CN 104580693B CN 201410737580 A CN201410737580 A CN 201410737580A CN 104580693 B CN104580693 B CN 104580693B
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Abstract
The invention discloses a kind of user's heads-down posture detection method and device, applied to intelligent handheld device, this method includes：Judge whether user's heads-down posture is abnormal, if abnormal, prompt user's heads-down posture abnormal, ask user to adjust heads-down posture, and open timer；If timer expiry, user does not adjust heads-down posture yet, then carries out voice announcement to user, and the intelligent handheld device is adjusted into non-operating mode after voice announcement terminates.
Description
Technical field
The present invention relates to sensor technical field, particularly a kind of user's heads-down posture detection method and device.
Background technology
Intelligent handheld device flourishes in recent years, is increasingly becoming carry-on thing indispensable in life.Daily, people
More scrappy times all stare at the screen of mobile phone, tablet personal computer in bowing, and increasing young man turns into race of bowing
A member, the trend that becomes younger of this group are more and more significant.
The problem of " disease of bowing " is not only and be grown up now more influences the healthy growth of teenager and children.Note for a long time
Depending on mobile phone screen, excessive, too strong stimulation can be produced to vision, causes visual fatigue and visual impairment；If object for appreciation is bowed for a long time
Mobile phone, cervical vertebra joint is misplaced, at the same the soft tissue such as muscle of neck shoulder back it is lasting in nervous state and
Fatigue, so as to cervical spondylopathy occur；These faulty postures can cause greatly to injure to cervical vertebra, and this hazard ratio sees computer
Taller tens times；Therefore, the prevention work to race of bowing is extremely urgent.
Correlative study on the posture detection of handheld device user at present there has also been some solutions, such as：It will take the photograph
As head is fixed on a device, posture detection is carried out based on image recognition technology, and the angle of camera and camera from
The parameters such as the distance of user need to provide in advance, so could correctly estimate the head pose of user, but for smart mobile phone etc.
The angle of mobile terminal, man-machine distance and camera is all unknown, and is real-time change, therefore the technology can not move
Realized in dynamic equipment；The distance of face machine in one's hands is estimated roughly by the long width of face in front camera collection image,
But when face is close or in the environment of dark apart from camera, camera can not gather complete facial image, so as to can not
Correctly estimate man-machine distance；Increase by 2 front cameras to demarcate, which not only adds the hardware cost of mobile phone, simultaneously should
Method needs to handle 2 road video image informations simultaneously, causes the algorithm amount of calculation bigger, it is therefore desirable on background server
Processing, if operation so has a strong impact on the fluency of system operation, it is necessary to take substantial amounts of CPU and electric power on the mobile apparatus,
And substantially reduce the intelligent handheld device normal use time.
Above-mentioned posture detection all existing defects based on the technology of face image processing for intelligent handheld device user, and
The normal distance of face machine in one's hands can only be estimated, it is impossible to estimate the head inclination angle of user and nearer man-machine distance.
The content of the invention
In view of this, the present invention proposes a kind of user's heads-down posture detection method and device, can effectively judge intelligence
The heads-down posture and state of handheld device user, provides rational prompting message, and prevention user suffers from disease of bowing.
Technical scheme proposed by the present invention is：
A kind of user's heads-down posture detection method, this method are applied to intelligent handheld device, and this method includes：
Judge whether user's heads-down posture is abnormal, if abnormal, prompt user's heads-down posture abnormal, ask user's adjustment to be bowed
Posture, and open timer；
If the timer expiry, user does not adjust heads-down posture yet, then carries out voice announcement to user, and in voice
Notice and the intelligent handheld device is adjusted to non-operating mode after terminating.
A kind of user's heads-down posture detection means, the device are located in intelligent handheld device, and the device includes：
Heads-down posture judge module, for judging whether user's heads-down posture is abnormal；
Prompting module, if heads-down posture judge module judges user's heads-down posture exception, for prompting user to bow appearance
Gesture is abnormal, asks user to adjust heads-down posture, and open timer；
If timer expiry, user does not adjust heads-down posture yet, then carries out voice announcement to user, and in voice announcement
The intelligent handheld device is adjusted to non-operating mode after end.
To sum up, user's heads-down posture detection method proposed by the present invention and device, intelligent handheld device hardware is not being increased
Under conditions of cost, existing equipment on intelligent handheld device is utilized, there is provided one kind estimates user using acceleration transducer
The method of head inclination angle, at the same using front camera or range sensor detection face and mobile phone between it is man-machine away from
From, and intelligently detect the time of foreground application running software；Finally from user's head angle of inclination, man-machine distance, application software
Continue many aspects such as usage time to judge the posture of user and state, provide rational prompting message, user is not for prevention
Disease of bowing is suffered between careful.
Brief description of the drawings
Fig. 1 is establishment of coordinate system and custom drift angle schematic diagram；
Fig. 2 is user's head angle of inclination schematic diagram；
Fig. 3 is the flow chart of embodiment of the method one；
Fig. 4 is the flow chart of embodiment of the method two；
Fig. 5 is the flow chart of embodiment of the method three；
Fig. 6 is the structure drawing of device of the embodiment of the present invention.
Embodiment
To make being more clearly understood for the object, technical solutions and advantages of the present invention expression, below in conjunction with the accompanying drawings and specifically
The present invention is further described in more detail for embodiment.
The present invention is described in further detail with embodiment below in conjunction with the accompanying drawings.
Following examples are illustrated by taking mobile phone as an example to technical solution of the present invention, and the intelligent handhold such as other tablet personal computers is set
It is standby to all fall in the scope of protection of the present invention.
Coordinate system is initially set up, as shown in figure 1, be x-axis by the horizontally arranged of plane where mobile phone screen, Mobile phone screen
Curtain institute direction vertical with x-axis in the plane is arranged to y-axis, and z-axis is arranged to the mobile phone screen place vertical direction of plane.With
During the normal use mobile phone of family, plane where mobile phone screen has a custom drift angle δ, the use of different user with gravity vertical g directions
Mobile phone custom drift angle is different, therefore δ needs user to calibrate, and method is：According to formulaCalculate the proper use of hand of user
Custom drift angle during machine, wherein, az0The acceleration in z-axis direction during mobile phone proper use of for user, passed by the acceleration on mobile phone
Sensor measures.
When user uses mobile phone, no matter whether posture is correct, and user's head inclination angle δ 2 exists with mobile phone angle of inclination δ 1
Following relation：δ 2=δ 1- δ, as shown in Figure 2.It is similar with the computational methods for being accustomed to drift angle δ,azMake for user
With the acceleration in z-axis direction during mobile phone, measured by the acceleration transducer on mobile phone.It is of the invention to consider from practical application angle,
Regulation user is using the correct body position of mobile phone：User's head angle of inclination | δ 2 | the distance H (people of≤δ, human eye and mobile phone screen
Machine distance) meet Hmin≤H≤Hmax.Wherein, HminFor the lower limit of normal man-machine distance, HmaxFor the upper limit of normal man-machine distance
Value, typically settable Hmin=30cm, Hmax=40cm.
Technical solution of the present invention is illustrated in terms of user's head inclination angle and man-machine distance two separately below.
Embodiment of the method one
The present embodiment illustrates so that whether user's head inclination angle is normal as an example to technical solution of the present invention.Mobile phone at present
Upper typically all to carry acceleration transducer, the z-axis directional acceleration measured by acceleration transducer can calculate user's use
Head inclination angle during mobile phone.Fig. 3 is the flow chart of the present embodiment, as shown in figure 3, comprising the following steps：
Step 301：Calculate the head inclination angle of user.
In this step, the z-axis directional acceleration a that is measured according to acceleration transducerz, pass through formulaMeter
Mobile phone angle of inclination δ 1 is calculated, the head inclination angle δ 2 of user is calculated further according to δ 2=δ 1- δ.Wherein, if δ 2>0, illustrate to use
Bow at family；If δ 2=0, illustrate that user's head is kept upright；If δ 2<0, illustrate that user faces upward head.User bows or faced upward head
Angle is more than δ0Belong to head inclination angle exception.
Step 302：Judge whether user's head angle of inclination is excessively abnormal, if it is, performing step 303, otherwise performs
Step 306.
In this step, if user's head angle of inclination | δ 2 |>δmax, then user's head angle of inclination is excessively abnormal, performs
Step 303, step 307 is otherwise performed, determines whether that user's head angle of inclination is normal or general abnormal.Wherein δmaxFor
Max-thresholds, and δmax>δ, to judge whether user's head angle of inclination is excessively abnormal.
Step 303：It is excessively abnormal to eject floating frame prompting user's head angle of inclination, asks user to adjust head inclination angle
Degree, and open timer.
Judged result based on step 302, user's head angle of inclination exceed max-thresholds, such as when mobile phone is kept flat, use
Family is bowed close to 90 degree, and this posture endangers user very big, it is necessary to remind user's adjustment head inclination angle at once.Set
The cycle of timer is T1。
Step 304：Whether user have adjusted head inclination angle before timer expiry, and step is performed if it is, returning
301, otherwise perform step 305.
In this step, whether user have adjusted head inclination angle before judging timer expiry, and step is performed if it is, returning
Rapid 301, the head inclination angle after adjustment is recalculated, and judge whether the head inclination angle after adjustment is normal；It is if fixed
When device time-out when user do not adjust head inclination angle yet, then perform step 305.
Step 305：Voice announcement is carried out to user, and mobile phone is adjusted to non-operating mode after voice announcement terminates.
Judgement based on step 304, user's head angle of inclination is excessively abnormal, and timer expiry, user does not adjust head yet
It portion angle of inclination, then will enter non-operating mode to user speech notice, and this operation is performed after notice terminates.Wherein
Non-operating mode is specifically as follows screen saver mode, forces to make user adjust head inclination angle by making mobile phone enter screen saver mode
Degree.
Step 306：Judge that whether general user's head angle of inclination is abnormal, if it is, performing step 307.
In this step, if user's head angle of inclination | δ 2 |>δ, then judge that user's head angle of inclination is typically abnormal, hold
Row step 307.
Step 307：It is typically abnormal to eject floating frame prompting user's head angle of inclination, asks user to adjust head inclination angle
Degree, and open timer.
In this step, the timing cycle of timer is T2, and T2>T1, because user's head angle of inclination is excessively abnormal
When, it is necessary to user adjusts head inclination angle as early as possible, therefore wait user to adjust the time T of head inclination angle1It is shorter；And use
When account portion angle of inclination is typically abnormal, user is waited to adjust the time T of head inclination angle2What can be set is slightly long.Afterwards
Step 304 is performed, is repeated no more.
The present embodiment measures z-axis directional acceleration by the acceleration transducer built in mobile phone, is accelerated using the z-axis direction
Degree calculates mobile phone angle of inclination δ 1, and then calculates user's head angle of inclination according to formula δ 2=δ 1- δ, if user's head is inclined
Rake angle is abnormal, then appropriate prompting is made to user.
Embodiment of the method two
The present embodiment illustrates so that whether man-machine distance is normal as an example to technical solution of the present invention.Fig. 4 is the present embodiment
Flow chart, as shown in figure 4, comprising the following steps：
Step 401：Calculate man-machine distance H.
In this step, calculate it is man-machine apart from when can be on the front camera or mobile phone by mobile phone range sensor survey
.The measurement range of range sensor is limited, and the ultimate range that general range sensor can measure is 20 centimetres, when man-machine distance
Then can not accurate measurement during more than 20 centimetres；By mobile phone front camera calculate it is man-machine apart from when require ambient light it is brighter,
If dark, front camera can not catch facial image, and then can not position the coordinates of user's right and left eyes to calculate people
Machine distance, therefore, the method that this step calculates man-machine distance is：If light luminance is insufficient to allow the intelligent handheld device
Front camera catches facial image, and man-machine distance is measured by the range sensor in mobile phone；Otherwise, by before on mobile phone
Camera is put to calculate man-machine distance.
The method that man-machine distance is calculated by mobile phone front camera is：The user or so is calculated first against each user
Standard Euclidean distance between eye, wherein, when standard Euclidean distance is that man-machine distance is in normal, mobile phone is preposition to be taken the photograph
Euclidean distance between the user's right and left eyes calculated as head, it is specially：HminFor the lower limit of normal man-machine distance, HmaxFor
The higher limit of normal man-machine distance, H0For normal man-machine distance, work as H=H0(Hmin≤H0≤Hmax) when, front camera is opened,
The position coordinates of right and left eyes, left eye coordinates (x are determined according to Face datection algorithmL0,yL0) represent, right eye coordinate (xR0,yR0)
Represent, then the standard Euclidean distance between right and left eyesDifferent user right and left eyes
Between standard Euclidean distance P0It is different, therefore P0User is needed to calibrate.
When user uses mobile phone, front camera is opened, the position for determining user's right and left eyes according to Face datection algorithm is sat
Mark, left eye coordinates (xL,yL) represent, right eye coordinate (xR,yR) represent, then the Euclidean distance p of right and left eyes passes through formulaCalculate, man-machine distance H is thenWherein, H0When using mobile phone for user
Correct man-machine distance, is a constant, typically settable Hmin=30, Hmax=40, then 30≤H0≤40；P0For user's right and left eyes
Between standard Euclidean distance.
The general custom of mobile phone is used according to user, during dark, man-machine distance is less than 20 centimetres；When light is brighter,
Front camera can calculate any man-machine distance, therefore by least one of above two method, can calculate people
Machine distance.
Step 402：Judge that whether abnormal man-machine distance is near, if it is, performing step 403, otherwise perform step 406.
If H<Hth, then man-machine distance is abnormal near, performs step 403, wherein, HthTo be man-machine apart from minimum threshold, and Hth
<Hmin, can be accustomed to setting according to user.
Step 403：It is abnormal near to eject the man-machine distance of floating frame prompting user, asks user to adjust man-machine distance, and open
Timer.
Judged result based on step 402, now man-machine distance is abnormal near, it is necessary to user adjusts man-machine distance as early as possible, because
The timing cycle T of this timer3It is arranged to a less value.
Step 404：Whether user have adjusted man-machine distance before timer expiry, and step 401 is performed if it is, returning, no
Then perform step 405.
In this step, whether user have adjusted man-machine distance before judging timer expiry, and step is performed if it is, returning
401, the man-machine distance after adjustment is recalculated, and judge whether the man-machine distance after adjustment is normal；If during timer expiry
User does not adjust man-machine distance yet, then performs step 405.
Step 405：Voice announcement is carried out to user, and mobile phone is adjusted to non-operating mode after voice announcement terminates.
Judgement based on step 404, timer expiry, user do not adjust man-machine distance yet, then notice hand to user speech
Machine will enter non-operating mode, and this operation is performed after notice terminates.By making mobile phone be forced into non-operating mode
User adjusts man-machine distance, and then ensures that man-machine distance is in normal range (NR) when user uses mobile phone.Here, the inoperative of mobile phone
Pattern can be specifically screen saver mode.
Step 406：Judge that whether general man-machine distance is abnormal, if it is, performing step 407.
In this step, determine whether that user uses man-machine distance during mobile phone whether general abnormal, work as Hth≤H<HminOr
H>HmaxWhen, judge that man-machine distance is typically abnormal, perform step 407.
Step 407：It is typically abnormal to eject the floating frame prompting man-machine distance of user, asks user to adjust man-machine distance, and beat
Open Timer device.
Judged result based on step 406, now man-machine distance is general abnormal, it is necessary to which user adjusts man-machine distance, therefore
The timing cycle T of timer4One larger value, and T can be set4>T3。
Step 404 is performed afterwards, will not be repeated here.
The present embodiment detects face by mobile phone front camera, and the seat of user's right and left eyes is obtained according to Face datection algorithm
Mark, and the Euclidean distance between right and left eyes is calculated by Euclidean distance formula, and then according to formulaMeter
Calculate and obtain the current man-machine distance of user, or man-machine distance is directly measured by range sensor, then judge man-machine distance
It is whether abnormal, and corresponding prompting is made to user.
Whether when correctly being judged using the posture of mobile phone user, embodiment of the method one judges that user's head tilts
The method and embodiment of the method two of angle judge the method for man-machine distance in no particular order, and user's head angle of inclination is abnormal, and/or
Man-machine distance is abnormal all to trigger floating frame and timer.
Embodiment of the method three
Embodiment of the method one and embodiment of the method two are right in terms of user's head angle of inclination and man-machine distance two respectively
Technical solution of the present invention is illustrated, and when user uses the correct set of mobile phone, i.e., head inclination angle is normal and people
Machine distance is normal, if user keep correct body position be also using mobile phone for a long time it is unfavorable, it is of the invention then from user's holding just
True posture is described further using this longer angle of mobile phone time to technical solution of the present invention.Fig. 5 is the stream of the present embodiment
Cheng Tu, as shown in figure 5, comprising the following steps：
Step 501：When user uses the correct set of mobile phone, timing is carried out for the mobile phone application software that user uses.
In this step, when user's head angle of inclination is normal, and man-machine distance is also normal, the hand that is used for user
Machine application software carries out timing, is designated as T.
Step 502：Judge whether user exceeds the time threshold of setting using the time of mobile phone application software, if it is,
Perform step 503.
In this step, the time threshold of setting can be directed to different mobile phone application softwares and carry out difference setting, for example, playing
The time threshold of video is T1max, playtime threshold value is T2max。
Step 503：Floating frame prompting user's excess eye-using is ejected, while is shown with the moment long T, and open timer.
Step 504：Before timer expiry user whether closing hand phone application software, if not, perform step 505.
Step 505：Voice announcement is carried out to user, and mobile phone is adjusted to screen saver mode after voice announcement terminates.
Invention additionally discloses a kind of user's heads-down posture detection means, and in intelligent handheld device, Fig. 6 is the device
Structure chart, as shown in fig. 6, the device includes：
Heads-down posture judge module 601, for judging whether user's heads-down posture is abnormal；
Prompting module 602, if heads-down posture judge module judges user's heads-down posture exception, for prompting user to bow
Abnormal posture, ask user to adjust heads-down posture, and open timer；
If timer expiry, user does not adjust heads-down posture yet, then carries out voice announcement to user, and in voice announcement
The intelligent handheld device is adjusted to non-operating mode after end.
Heads-down posture judge module 601 is additionally operable to,
If user have adjusted heads-down posture before timer expiry, whether abnormal user's heads-down posture is rejudged.
Heads-down posture judge module 601 judges whether user's heads-down posture is abnormal, is to judge the user's head inclination angle
Whether degree is abnormal, and/or whether man-machine distance is abnormal, and the man-machine distance is eyes and institute when user uses intelligent handheld device
State the distance of intelligent handheld device.
When heads-down posture judge module 601 judges whether user's head angle of inclination is abnormal, it is further used for：
Z-axis directional acceleration a is measured according to the acceleration transducer in the intelligent handheld devicez, pass through formulaThe intelligent handheld device angle of inclination δ 1 is calculated, user's head angle of inclination δ is calculated according to δ 2=δ 1- δ
2, the δ are custom drift angle, are defined asWherein, az0It is described during intelligent handheld device proper use of for user
Acceleration of the acceleration transducer in z-axis direction；
If user's head angle of inclination | δ 2 |>δmax, then user's head angle of inclination is excessively abnormal, if user's head
Angle of inclination δ<|δ2|≤δmax, then user's head angle of inclination is typically abnormal, the δmaxFor max-thresholds, and δmax>δ。
When heads-down posture judge module 601 judges whether man-machine distance is abnormal, it is further used for：
If light luminance is insufficient to allow the front camera in the intelligent handheld device to catch facial image, pass through institute
The range sensor stated in intelligent handheld device measures man-machine distance；
Otherwise, man-machine distance is calculated by the front camera in the intelligent handheld device：User or so is calculated first
Standard Euclidean distance P between eye0：HminFor the lower limit of normal man-machine distance, HmaxFor the upper limit of normal man-machine distance
Value, H0For normal man-machine distance, as man-machine distance H=H0(Hmin≤H0≤Hmax) when, right and left eyes are determined according to Face datection algorithm
Position coordinates, left eye coordinates (xL0,yL0) represent, right eye coordinate (xR0,yR0) represent, then standard Europe between right and left eyes
Distance is obtained in several
When user uses mobile phone, front camera is opened, the position for determining user's right and left eyes according to Face datection algorithm is sat
Mark, left eye coordinates (xL,yL) represent, right eye coordinate (xR,yR) represent, then the Euclidean distance p of right and left eyes passes through formulaCalculate, man-machine distance H is then
If H<Hth, then man-machine distance is abnormal near, wherein, HthTo be man-machine apart from minimum threshold, and Hth<Hmin；
If Hth≤H<HminOr H>Hmax, then man-machine distance is typically abnormal.
If user's heads-down posture is normal, the equipment further comprises using at the moment long monitoring modular 603, is used for：
The application software of the intelligent handheld device used for user carries out timing；
If user, beyond the time threshold of setting, prompts user to use using the time of the application software of intelligent handheld device
Eye excessively, and opens timer；
If timer expiry, and user would be not turned off the application software of the intelligent handheld device, and language is carried out to user
Sound is noticed, and intelligent handheld device is adjusted into non-operating mode after voice announcement terminates.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
Any modification, equivalent substitution and improvements done within refreshing and principle etc., should be included within the scope of protection of the invention.
Claims (6)
1. a kind of user's heads-down posture detection method, it is characterised in that this method is applied to intelligent handheld device, this method bag
Include：
Judge whether user's heads-down posture is abnormal, if abnormal, prompt user's heads-down posture abnormal, ask user's adjustment to be bowed appearance
Gesture, and open timer；
Whether user's heads-down posture is abnormal, is whether the user's head angle of inclination is abnormal；
Whether the user's head angle of inclination is abnormal, further comprises：
Z-axis directional acceleration a is measured according to the acceleration transducer in intelligent handheld devicez, pass through formulaMeter
Calculate the intelligent handheld device angle of inclination δ1, user's head angle of inclination δ 2 is calculated according to δ 2=δ 1- δ, the δ is inclined for custom
Angle, it is defined asWherein, az0During intelligent handheld device proper use of for user, the acceleration transducer is in z
The acceleration of direction of principal axis；
If user's head angle of inclination | δ 2 | ＞ δmax, then user's head angle of inclination is excessively abnormal, if user's head tilts
Angle δ ＜ | δ 2 |≤δmax, then user's head angle of inclination is typically abnormal, the δmaxFor max-thresholds, and δmax＞ δ；
If the timer expiry, user does not adjust heads-down posture yet, then carries out voice announcement to user, and in voice announcement
The intelligent handheld device is adjusted to non-operating mode after end.
2. according to the method for claim 1, it is characterised in that this method further comprises：
If user have adjusted heads-down posture before the timer expiry, return and described judge whether user's heads-down posture is abnormal
The step of.
3. according to the method for claim 1, it is characterised in that if user's heads-down posture is normal, this method is further wrapped
Include：
The application software of the intelligent handheld device used for user carries out timing；
If user, beyond the time threshold of setting, prompts user with eye mistake using the time of the application software of intelligent handheld device
Degree, and open timer；
If timer expiry, and user is not turned off the application software of the intelligent handheld device, carrying out voice to user leads to
Accuse, and intelligent handheld device is adjusted to non-operating mode after voice announcement terminates.
4. a kind of user's heads-down posture detection means, in intelligent handheld device, it is characterised in that the device includes：
Heads-down posture judge module, for judging whether user's heads-down posture is abnormal；
The heads-down posture judge module judges whether user's head angle of inclination is abnormal, is to judge the user's head inclination angle
Whether degree is abnormal；
When the heads-down posture judge module judges whether user's head angle of inclination is abnormal, it is further used for：
Z-axis directional acceleration a is measured according to the acceleration transducer in the intelligent handheld devicez, pass through formulaThe intelligent handheld device angle of inclination δ 1 is calculated, user's head angle of inclination δ 2 is calculated according to δ 2=δ 1- δ,
The δ is custom drift angle, is defined asWherein, az0It is described to add during intelligent handheld device proper use of for user
Acceleration of the velocity sensor in z-axis direction；
If user's head angle of inclination | δ 2 | ＞ δmax, then user's head angle of inclination is excessively abnormal, if user's head tilts
Angle δ ＜ | δ 2 |≤δmax, then user's head angle of inclination is typically abnormal, the δmaxFor max-thresholds, and δmax＞ δ0；
Prompting module, if heads-down posture judge module judges user's heads-down posture exception, for prompting user that heads-down posture is different
Often, ask user to adjust heads-down posture, and open timer；
If timer expiry, user does not adjust heads-down posture yet, then carries out voice announcement to user, and terminate in voice announcement
The intelligent handheld device is adjusted to non-operating mode afterwards.
5. device according to claim 4, it is characterised in that the heads-down posture judge module is additionally operable to,
If user have adjusted heads-down posture before the timer expiry, whether abnormal user's heads-down posture is rejudged.
6. device according to claim 4, it is characterised in that if user's heads-down posture is normal, the equipment is further wrapped
Include and use at the moment long monitoring modular, be used for：
The application software of the intelligent handheld device used for user carries out timing；
If user, beyond the time threshold of setting, prompts user with eye mistake using the time of the application software of intelligent handheld device
Degree, and open timer；
If timer expiry, and user is not turned off the application software of the intelligent handheld device, carrying out voice to user leads to
Accuse, and intelligent handheld device is adjusted to non-operating mode after voice announcement terminates.
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