CN111967439A - Sitting posture identification method and device, terminal equipment and storage medium - Google Patents
Sitting posture identification method and device, terminal equipment and storage medium Download PDFInfo
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- CN111967439A CN111967439A CN202010915853.3A CN202010915853A CN111967439A CN 111967439 A CN111967439 A CN 111967439A CN 202010915853 A CN202010915853 A CN 202010915853A CN 111967439 A CN111967439 A CN 111967439A
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- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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Abstract
The embodiment of the invention discloses a sitting posture identification method and device, terminal equipment and a storage medium. The embodiment of the invention stores standard posture characteristic parameters of different age groups; regularly shooting a current sitting posture picture of a user, and extracting current posture characteristic parameters from the current sitting posture picture, wherein the current posture characteristic parameters comprise a current spine simulation curve and/or a current distance between eyes and a desktop; selecting the matched standard posture characteristic parameters according to the age of the user in the current sitting posture picture; and determining that the deviation between the standard posture characteristic parameter and the current posture characteristic parameter exceeds a threshold value, and sending out a reminding and correcting suggestion, so that the user can realize the bad sitting posture and correct the sitting posture in time.
Description
Technical Field
The invention relates to the technical field of image recognition, in particular to a sitting posture recognition method and device, terminal equipment and a storage medium.
Background
During the study and practice process of the prior art, the inventor of the invention finds that people often form bad sitting postures when reading and writing for a long time, and can not timely realize and correct themselves.
Disclosure of Invention
The embodiment of the invention provides a sitting posture identification method, a device, terminal equipment and a storage medium, wherein the current sitting posture of a user is determined to be incorrect by comparing a pre-stored standard sitting posture characteristic parameter with a current sitting posture characteristic parameter extracted from a regularly-shot current sitting posture picture of the user, and a prompt is given, so that the user can timely recognize and correct an undesirable sitting posture of the user.
The embodiment of the invention provides a sitting posture identification method, which comprises the following steps:
storing standard posture characteristic parameters of different age groups;
regularly shooting a current sitting posture picture of a user, and extracting current posture characteristic parameters from the current sitting posture picture, wherein the current posture characteristic parameters comprise a current spine simulation curve and/or a current distance between eyes and a desktop;
selecting the matched standard posture characteristic parameters according to the age of the user in the current sitting posture picture;
and determining that the deviation between the standard posture characteristic parameter and the current posture characteristic parameter exceeds a threshold value, and sending out a prompt and a correction suggestion.
Optionally, in some embodiments of the present invention, the extracting current posture characteristic parameters from the current sitting posture picture includes:
acquiring figure contour lines from the current sitting posture picture;
and extracting the current spine simulation curve of the user according to the figure contour line.
Optionally, in some embodiments of the invention, the standard posture characteristic parameters include a standard spine simulation curve and a standard eye-to-desktop distance.
Optionally, in some embodiments of the present invention, the determining that the deviation between the standard posture characteristic parameter and the current posture characteristic parameter exceeds a threshold value includes:
calculating the distance between the reference points at the same positions of the current spine simulation curve and the standard spine simulation curve to form a distance sequence;
determining that a minimum value in the sequence of distances exceeds a first threshold.
Optionally, in some embodiments of the present invention, the calculating a distance between points corresponding to the current spine simulation curve and the standard spine simulation curve includes:
enabling the upper end point of the current spine simulation curve and the upper end point of the standard spine simulation curve to be located on the same horizontal line; or
And enabling the lower end point of the current spine simulation curve and the lower end point of the standard spine simulation curve to be located on the same horizontal line.
Optionally, in some embodiments of the present invention, the determining that the deviation between the standard posture characteristic parameter and the current posture characteristic parameter exceeds a threshold value includes:
detecting a face image of the current sitting posture picture to obtain the eye position;
determining the position of a desktop according to the current sitting posture picture;
calculating the current eye-to-desktop distance between the eye position and the desktop position;
and comparing the distance between the current eye and the desktop with the distance between the standard eye and the desktop.
Optionally, in some embodiments of the present invention, the determining that the deviation between the standard posture characteristic parameter and the current posture characteristic parameter exceeds a threshold value includes:
calculating the difference value between the distance between the current eye and the desktop and the distance between the standard eye and the desktop;
determining that the difference exceeds a second threshold.
Correspondingly, the embodiment of the invention also provides a sitting posture identifying device, which comprises:
the storage unit is used for storing standard posture characteristic parameters of different age groups;
the current posture characteristic parameter acquisition unit is used for regularly shooting a current sitting posture picture of a user and extracting current posture characteristic parameters from the current sitting posture picture, wherein the current posture characteristic parameters comprise a current spine simulation curve and/or a distance between a current eye and a desktop;
the standard posture characteristic parameter selection unit is used for selecting the matched standard posture characteristic parameters according to the user age in the current sitting posture picture;
and the determining unit is used for determining that the deviation between the standard posture characteristic parameter and the current posture characteristic parameter exceeds a threshold value, and sending out a prompt and a correction suggestion.
Similarly, an embodiment of the present invention further provides a terminal device, including:
a memory for storing a computer program;
a processor for implementing the steps of any of the sitting posture identification methods when executing the computer program.
In addition, an embodiment of the present invention further provides a storage medium, where a computer program is stored on the storage medium, and when the computer program is executed by a processor, the computer program implements the steps of any one of the sitting posture identification methods.
The embodiment of the invention provides a sitting posture identification method, a device, a terminal device and a storage medium, wherein after a user corrects a sitting posture, the terminal device stores standard posture characteristic parameters of people in different age groups in advance, then another user or another method is used for shooting a current sitting posture picture of the user from the side of the detected user by using a front camera or a rear camera of the terminal device, then the position of the camera of the terminal device is fixed, the method enables the camera of the terminal device to shoot the current sitting posture picture of the user at regular intervals, then a current spine simulation curve and/or the distance between a current eye and a desktop of the user are extracted from the current sitting posture picture, the terminal device selects matched standard posture characteristic parameters according to the age of the user, then the standard posture characteristic parameters and the current posture characteristic parameters are compared, and the standard spine simulation curve of the standard posture characteristic parameters and the current spine simulation curve of the current posture characteristic parameters can be compared The method comprises the steps that distances between reference points at the same positions of a column simulation curve are formed to form a distance sequence, the minimum value in the distance sequence is determined to exceed a first threshold value, a reminding and correction suggestion is sent out, the distance between a standard eye of a standard posture characteristic parameter and a desktop is compared with the distance between a current eye of the current posture characteristic parameter and the desktop, the difference value between the distance between the standard eye and the desktop and the distance between the current eye and the desktop is calculated, and if the difference value is determined to exceed a second threshold value, the reminding and correction suggestion is sent out to remind a user of incorrect sitting posture, so that the user can timely recognize the bad sitting posture and correct the user.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic view of a scene of a sitting posture recognition method according to an embodiment of the present invention;
FIG. 2 is a flow chart of a sitting posture identifying method according to an embodiment of the present invention;
FIG. 3 is another flow chart of a sitting posture identifying method according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a sitting posture identifying apparatus provided in an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a terminal device according to an embodiment of the present invention.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention provides a sitting posture identification method and device, terminal equipment and a storage medium. The device can be integrated in a terminal, and the terminal can be a mobile phone, a tablet computer, a notebook computer, an intelligent watch and other equipment.
For example, as shown in fig. 1, the terminal device stores standard posture characteristic parameters of sitting postures of different age groups and different height segments in advance, the standard posture characteristic parameters include a standard spine simulation curve and a standard distance between eyes and a desktop, when a user sits in front of a desk, another user or another method uses a front camera or a rear camera of the terminal device to select any angle from the side of the detected user to take a current sitting posture picture of the user, then the position of the camera of the terminal device is fixed, the method enables the camera of the terminal device to periodically take the current sitting posture picture of the user at intervals, the terminal device obtains a figure contour line from the current sitting posture picture and extracts the current spine simulation curve of the user according to the figure contour line, the terminal device can also detect a face image of the current sitting posture picture, obtain the eye position and determine the desktop position according to the current sitting posture picture, then calculating the distance between the current eye position and the desktop position and the distance between the current eye position and the desktop, selecting matched standard posture characteristic parameters by the terminal equipment according to the age and the height of a user, enabling the upper end point or the lower end point of the current spine simulation curve and the standard spine simulation curve to be on the same horizontal line, then respectively selecting a plurality of reference points at the same positions of the current spine simulation curve and the standard spine simulation curve, calculating the distance between two selected reference points at the same positions to form a distance sequence, determining that the minimum value in the distance sequence exceeds a first threshold value, indicating that the current sitting posture of the user is incorrect, bending over and humping back, reminding the terminal equipment to the user, informing the user of straightening the back, calculating the difference value between the distance between the current eye position and the desktop and the distance between the standard eye position and the desktop by the terminal equipment, indicating that the current sitting posture of the user is incorrect if the difference, the terminal equipment sends out a prompt to the user and informs the user of head up.
The following are detailed below. It should be noted that the following description of the embodiments is not intended to limit the preferred order of the embodiments.
The present embodiment will be described in terms of a sitting posture identifying method, a sitting posture identifying apparatus, a terminal device and a storage medium apparatus, where the sitting posture identifying apparatus may be specifically integrated in the terminal device, and the terminal device may include a notebook computer, a tablet computer, a smart phone, a smart watch, and the like.
A sitting posture identifying method, comprising: storing standard posture characteristic parameters of different age groups; regularly shooting a current sitting posture picture of a user, and extracting current posture characteristic parameters from the current sitting posture picture, wherein the current posture characteristic parameters comprise a current spine simulation curve and/or a current distance between eyes and a desktop; selecting the matched standard posture characteristic parameters according to the age of the user in the current sitting posture picture; and determining that the deviation between the standard posture characteristic parameter and the current posture characteristic parameter exceeds a threshold value, and sending out a prompt and a correction suggestion.
As shown in fig. 2, the specific flow of the sitting posture identifying method is as follows:
and step 201, storing standard posture characteristic parameters of different age groups.
For example, referring to fig. 3 together, step 301 is executed, the terminal device stores standard posture characteristic parameters of the sitting postures of users in different age groups in advance, the standard posture characteristic parameters include a standard spine simulation curve and a standard distance between eyes and a desktop, and the age spans included in different age groups may be the same, may be partially the same, or may be different from each other.
Optionally, the terminal device prestores standard posture characteristic parameters of the sitting postures of the users in different height segments, and the height spans included in the different height segments may be the same, may be partially the same, or may be different from each other.
Optionally, the standard posture characteristic parameters may further include a standard forehead-to-desktop distance, a standard nose-tip-to-desktop distance, a standard mouth-to-desktop distance, a standard earlobe-to-desktop distance, a standard leg-simulating curve, and the like.
For example, referring to fig. 3 together, when a user sits in front of a desk, another user or another method uses a front or rear camera of a terminal device to take a current sitting posture picture of the user from any angle selected from the side of the detected user, then fixes the position of the camera of the terminal device, and then executes step 302.
Optionally, referring to fig. 3, step 303 is executed, and the terminal device obtains a figure contour line from the current sitting posture picture, and extracts the current spine simulation curve of the user according to the figure contour line.
Optionally, referring to fig. 3, in step 304, the terminal device may also detect a face image of the current sitting posture picture, obtain the eye position, determine the desktop position according to the current sitting posture picture, and then calculate the distance between the current eye position and the desktop.
Optionally, the current posture characteristic parameters may further include a current forehead distance from the desktop, a current nose tip distance from the desktop, a current mouth distance from the desktop, a current earlobe distance from the desktop, a current leg simulation curve, and the like, and the terminal device may further obtain the forehead, the nose tip, the mouth, and the position of the earlobe from the face image, thereby calculating a current forehead distance from the desktop between the forehead position and the desktop position, a current nose tip distance from the desktop between the nose tip position and the desktop position, a current mouth distance from the desktop between the mouth position and the desktop position, and a current earlobe distance from the desktop between the earlobe position and the desktop position, and extracting the current leg simulation curve of the user according to the figure contour line.
And step 203, selecting the matched standard posture characteristic parameters according to the age of the user in the current sitting posture picture.
For example, referring to fig. 3, the terminal device selects a matched standard posture characteristic parameter according to the age of the monitored object set by the user in advance, that is, step 305 is executed, a matched standard spine simulation curve is selected according to the age of the user, step 306 is executed, and a matched standard eye-to-desktop distance is selected according to the age of the user.
Optionally, the terminal device selects the matched standard posture characteristic parameter according to the height of the monitored object set by the user in advance.
And 204, determining that the deviation between the standard posture characteristic parameter and the current posture characteristic parameter exceeds a threshold value, and sending out a reminding and correcting suggestion.
For example, the terminal device compares the corresponding standard posture characteristic parameter with the current posture characteristic parameter, and if the deviation between the corresponding standard posture characteristic parameter and the current posture characteristic parameter is determined to exceed the corresponding threshold value, a prompt is sent out, and a correction suggestion is proposed.
Optionally, please refer to fig. 3 together, the upper end point or the lower end point of the current spine simulation curve and the standard spine simulation curve are located on the same horizontal line, then a plurality of reference points at the same positions of the current spine simulation curve and the standard spine simulation curve are respectively selected, step 307 is executed, the distance between two selected reference points at the same positions is calculated to form a distance sequence, step 308 is executed, it is determined that the minimum value in the distance sequence exceeds a first threshold, if yes, step 309 is executed, it is indicated that the current sitting posture of the user is incorrect, the user bends over and bends over, the terminal device sends a prompt to the user, and informs the user to straighten the back, and if not, step 302 is executed, and the current sitting posture picture is continuously taken.
The reference point may be any point on the current spine simulation curve and the standard spine simulation curve.
Optionally, the terminal device may be configured to locate the upper end point or the lower end point of the current leg simulation curve and the standard leg simulation curve on the same horizontal line, then select a plurality of reference points at the same positions of the current leg simulation curve and the standard leg simulation curve, calculate a distance between two selected reference points at the same positions, form a distance sequence, determine that a minimum value in the distance sequence exceeds a first threshold value, indicate that the current sitting posture of the user is incorrect, and send a prompt to the user by the terminal device, and notify the user of adjusting the leg position.
Optionally, the setting of the first threshold is not limited, and may be flexibly set according to the actual situation.
Optionally, referring to fig. 3, step 310 is executed, the terminal device calculates a difference between a distance between a current eye and a desktop and a distance between a standard eye and the desktop, step 311 is executed, it is determined whether the difference exceeds a second threshold, if the difference exceeds the second threshold, step 312 is executed, it indicates that the current sitting posture of the user is incorrect, the terminal device sends a prompt to the user, and notifies the user to raise his head, and if not, step 302 is executed, and the current sitting posture picture is continuously taken.
Optionally, the setting of the second threshold is not limited, and may be flexibly set according to the actual situation.
Optionally, the terminal device may calculate a difference between a distance from the current forehead to the desktop and a distance from the standard forehead to the desktop, and compare the difference with a corresponding threshold, and/or calculate a difference between a distance from the current nose tip to the desktop and a distance from the standard nose tip to the desktop, and compare the difference with a corresponding threshold, and/or calculate a difference between a distance from the current mouth to the desktop and a distance from the standard mouth to the desktop, and compare the difference with a corresponding threshold, and/or calculate a difference between a distance from the current earlobe to the desktop and a distance from the standard earlobe to the desktop, and compare the difference with a corresponding threshold.
In order to better implement the above method, the embodiment of the present invention may further provide a sitting posture identifying apparatus, which may be specifically integrated in a network device, where the network device may be a terminal or the like.
For example, as shown in fig. 4, the seating posture identifying apparatus may include: storage unit 401, current posture characteristic parameter acquisition unit 402, standard posture characteristic parameter selection unit 403, and determination unit 404 are as follows:
(1) memory cell 401
A storage unit 401, configured to store standard posture characteristic parameters of different age groups.
For example, the terminal device stores in advance standard posture characteristic parameters of the sitting postures of users of different age groups using the storage unit 401, the standard posture characteristic parameters including a standard spine simulation curve and a standard eye-to-desktop distance.
(2) Current posture characteristic parameter acquiring unit 402
A current posture characteristic parameter obtaining unit 402, configured to periodically take a current sitting posture picture of a user, and extract a current posture characteristic parameter from the current sitting posture picture, where the current posture characteristic parameter includes a current spine simulation curve and/or a distance between a current eye and a desktop.
For example, a camera of the terminal device periodically takes a current sitting posture picture of the user at intervals, and the current posture characteristic parameter obtaining unit 402 extracts a current posture characteristic parameter from the current sitting posture picture, where the current posture characteristic parameter includes a current spine simulation curve and/or a current distance between eyes and a desktop.
Optionally, the current posture characteristic parameter obtaining unit 402 is configured to obtain a figure outline from the current sitting posture picture; and extracting the current spine simulation curve of the user according to the figure contour line.
Optionally, the standard posture characteristic parameters include a standard spine simulation curve and a standard eye-to-desktop distance.
(3) Standard posture characteristic parameter selection unit 403
A standard posture characteristic parameter selecting unit 403, configured to select the matched standard posture characteristic parameter according to the user age in the current sitting posture picture.
For example, the terminal device selects a matching standard posture characteristic parameter according to the age of the monitored object set by the user in advance using the standard posture characteristic parameter selection unit 403.
(4) Determination unit 404
A determining unit 404, configured to determine that a deviation between the standard posture characteristic parameter and the current posture characteristic parameter exceeds a threshold, and issue a prompt and a correction suggestion.
For example, the terminal device compares the corresponding standard posture characteristic parameter with the current posture characteristic parameter by using the determining unit 404, and if the determining unit 404 determines that the deviation between the corresponding standard posture characteristic parameter and the current posture characteristic parameter exceeds the corresponding threshold, a prompt is issued, and a correction suggestion is proposed.
Optionally, the determining unit 404 makes the upper end point or the lower end point of the current spine analog curve and the standard spine analog curve be on the same horizontal line, then selects a plurality of reference points at the same positions of the current spine analog curve and the standard spine analog curve, calculates the distance between two selected reference points at the same positions, forms a distance sequence, determines that the minimum value in the distance sequence exceeds a first threshold value, and indicates that the current sitting posture of the user is incorrect and the user bends over a humpback, and the terminal device sends a prompt to the user and informs the user to straighten the back.
Optionally, the determining unit 404 calculates a difference between the distance between the current eye and the desktop and the distance between the standard eye and the desktop, and if the difference exceeds a second threshold, it indicates that the current sitting posture of the user is incorrect, and the terminal device sends a prompt to the user and informs the user of raising the head.
Optionally, the determining unit 404 is configured to calculate a distance between reference points at the same positions of the current spine simulation curve and the standard spine simulation curve to form a distance sequence; determining that a minimum value in the sequence of distances exceeds a first threshold.
Optionally, the determining unit 404 is configured to enable an upper endpoint of the current spine simulation curve and an upper endpoint of the standard spine simulation curve to be located on the same horizontal line; or the lower end point of the current spine simulation curve and the lower end point of the standard spine simulation curve are positioned on the same horizontal line.
Optionally, the determining unit 404 is configured to detect a face image of the current sitting posture picture, and acquire an eye position; determining the position of a desktop according to the current sitting posture picture; calculating the current eye-to-desktop distance between the eye position and the desktop position; and comparing the distance between the current eye and the desktop with the distance between the standard eye and the desktop.
Optionally, the determining unit 404 is configured to calculate a difference between the distance from the current eye to the desktop and the distance from the standard eye to the desktop; determining that the difference exceeds a second threshold.
Accordingly, an embodiment of the present invention further provides a terminal, as shown in fig. 5, the terminal may include a Radio Frequency (RF) circuit 501, a memory 502 including one or more computer-readable storage media, an input unit 503, a display unit 504, a sensor 505, an audio circuit 506, a Wireless Fidelity (WiFi) module 507, a processor 508 including one or more processing cores, and a power supply 509. Those skilled in the art will appreciate that the terminal structure shown in fig. 5 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components. Wherein:
the RF circuit 501 may be used for receiving and transmitting signals during information transmission and reception or during a call, and in particular, for receiving downlink information of a base station and then sending the received downlink information to the one or more processors 508 for processing; in addition, data relating to uplink is transmitted to the base station. In general, RF circuit 501 includes, but is not limited to, an antenna, at least one Amplifier, a tuner, one or more oscillators, a Subscriber Identity Module (SIM) card, a transceiver, a coupler, a Low Noise Amplifier (LNA), a duplexer, and the like. In addition, the RF circuitry 501 may also communicate with networks and other devices via wireless communications. The wireless communication may use any communication standard or protocol, including but not limited to Global System for Mobile communications (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), email, Short Message Service (SMS), and the like.
The memory 502 may be used to store software programs and modules, and the processor 508 executes various functional applications and data processing by operating the software programs and modules stored in the memory 502. The memory 502 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the terminal, etc. Further, the memory 502 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Accordingly, the memory 502 may also include a memory controller to provide the processor 508 and the input unit 503 access to the memory 502.
The input unit 503 may be used to receive input numeric or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control. In particular, in one particular embodiment, the input unit 503 may include a touch-sensitive surface as well as other input devices. The touch-sensitive surface, also referred to as a touch display screen or a touch pad, may collect touch operations by a user (e.g., operations by a user on or near the touch-sensitive surface using a finger, a stylus, or any other suitable object or attachment) thereon or nearby, and drive the corresponding connection device according to a predetermined program. Alternatively, the touch sensitive surface may comprise two parts, a touch detection means and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 508, and can receive and execute commands sent by the processor 508. In addition, touch sensitive surfaces may be implemented using various types of resistive, capacitive, infrared, and surface acoustic waves. The input unit 503 may include other input devices in addition to the touch-sensitive surface. In particular, other input devices may include, but are not limited to, one or more of a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like.
The display unit 504 may be used to display information input by or provided to the user and various graphical user interfaces of the terminal, which may be made up of graphics, text, icons, video, and any combination thereof. The Display unit 504 may include a Display panel, and optionally, the Display panel may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like. Further, the touch-sensitive surface may overlay the display panel, and when a touch operation is detected on or near the touch-sensitive surface, the touch operation is transmitted to the processor 508 to determine the type of touch event, and then the processor 508 provides a corresponding visual output on the display panel according to the type of touch event. Although in FIG. 5 the touch-sensitive surface and the display panel are two separate components to implement input and output functions, in some embodiments the touch-sensitive surface may be integrated with the display panel to implement input and output functions.
The terminal may also include at least one sensor 505, such as light sensors, motion sensors, and other sensors. Specifically, the light sensor may include an ambient light sensor that may adjust the brightness of the display panel according to the brightness of ambient light, and a proximity sensor that may turn off the display panel and/or the backlight when the terminal is moved to the ear. As one of the motion sensors, the gravity acceleration sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when the mobile phone is stationary, and can be used for applications of recognizing the posture of the mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured in the terminal, detailed description is omitted here.
WiFi belongs to short-distance wireless transmission technology, and the terminal can help a user to receive and send e-mails, browse webpages, access streaming media and the like through the WiFi module 507, and provides wireless broadband internet access for the user. Although fig. 5 shows the WiFi module 507, it is understood that it does not belong to the essential constitution of the terminal, and may be omitted entirely as needed within the scope not changing the essence of the invention.
The processor 508 is a control center of the terminal, connects various parts of the entire mobile phone by using various interfaces and lines, and performs various functions of the terminal and processes data by operating or executing software programs and/or modules stored in the memory 502 and calling data stored in the memory 502, thereby integrally monitoring the mobile phone. Optionally, processor 508 may include one or more processing cores; preferably, the processor 508 may integrate an application processor, which primarily handles operating systems, user interfaces, application programs, etc., and a modem processor, which primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 508.
The terminal also includes a power supply 509 (e.g., a battery) for powering the various components, which may preferably be logically connected to the processor 508 via a power management system that may be used to manage charging, discharging, and power consumption. The power supply 509 may also include any component such as one or more dc or ac power sources, recharging systems, power failure detection circuitry, power converters or inverters, power status indicators, and the like.
Although not shown, the terminal may further include a camera, a bluetooth module, and the like, which will not be described herein. Specifically, in this embodiment, the processor 508 in the terminal loads the executable file corresponding to the process of one or more application programs into the memory 502 according to the following instructions, and the processor 508 runs the application programs stored in the memory 502, thereby implementing various functions: storing standard posture characteristic parameters of different age groups; regularly shooting a current sitting posture picture of a user, and extracting current posture characteristic parameters from the current sitting posture picture, wherein the current posture characteristic parameters comprise a current spine simulation curve and/or a current distance between eyes and a desktop; selecting the matched standard posture characteristic parameters according to the age of the user in the current sitting posture picture; and determining that the deviation between the standard posture characteristic parameter and the current posture characteristic parameter exceeds a threshold value, and sending out a prompt and a correction suggestion.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
The sitting posture identifying method, the sitting posture identifying device, the terminal device and the storage medium provided by the embodiment of the invention are described in detail, a specific embodiment is applied in the text to explain the principle and the implementation mode of the invention, and the description of the embodiment is only used for helping to understand the technical scheme and the core idea of the invention; those of ordinary skill in the art will understand that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A sitting posture identifying method, comprising:
storing standard posture characteristic parameters of different age groups;
regularly shooting a current sitting posture picture of a user, and extracting current posture characteristic parameters from the current sitting posture picture, wherein the current posture characteristic parameters comprise a current spine simulation curve and/or a current distance between eyes and a desktop;
selecting the matched standard posture characteristic parameters according to the age of the user in the current sitting posture picture;
and determining that the deviation between the standard posture characteristic parameter and the current posture characteristic parameter exceeds a threshold value, and sending out a prompt and a correction suggestion.
2. The method of claim 1, wherein said extracting current posture feature parameters from said current sitting posture picture comprises:
acquiring figure contour lines from the current sitting posture picture;
and extracting the current spine simulation curve of the user according to the figure contour line.
3. The method of claim 1, wherein the standard posture characteristic parameters include a standard spine simulation curve and a standard eye-to-desktop distance.
4. The method of claim 3, wherein the determining that the deviation of the standard posture feature parameter and the current posture feature parameter exceeds a threshold value comprises:
calculating the distance between the reference points at the same positions of the current spine simulation curve and the standard spine simulation curve to form a distance sequence;
determining that a minimum value in the sequence of distances exceeds a first threshold.
5. The method of claim 4, wherein said calculating a distance between reference points at the same location of said current spine simulation curve and said standard spine simulation curve comprises:
enabling the upper end point of the current spine simulation curve and the upper end point of the standard spine simulation curve to be located on the same horizontal line; or
And enabling the lower end point of the current spine simulation curve and the lower end point of the standard spine simulation curve to be located on the same horizontal line.
6. The method of claim 3, wherein the determining that the deviation of the standard posture feature parameter and the current posture feature parameter exceeds a threshold value comprises:
detecting a face image of the current sitting posture picture to obtain the eye position;
determining the position of a desktop according to the current sitting posture picture;
calculating the current eye-to-desktop distance between the eye position and the desktop position;
and comparing the distance between the current eye and the desktop with the distance between the standard eye and the desktop.
7. The method of claim 6, wherein the determining that the deviation of the standard posture feature parameter and the current posture feature parameter exceeds a threshold value comprises:
calculating the difference value between the distance between the current eye and the desktop and the distance between the standard eye and the desktop;
determining that the difference exceeds a second threshold.
8. A sitting posture identifying device, comprising:
the storage unit is used for storing standard posture characteristic parameters of different age groups;
the current posture characteristic parameter acquisition unit is used for regularly shooting a current sitting posture picture of a user and extracting current posture characteristic parameters from the current sitting posture picture, wherein the current posture characteristic parameters comprise a current spine simulation curve and/or a distance between a current eye and a desktop;
the standard posture characteristic parameter selection unit is used for selecting the matched standard posture characteristic parameters according to the user age in the current sitting posture picture;
and the determining unit is used for determining that the deviation between the standard posture characteristic parameter and the current posture characteristic parameter exceeds a threshold value, and sending out a prompt and a correction suggestion.
9. A terminal device, comprising:
a memory for storing a computer program;
a processor for implementing the steps in the sitting posture identification method as claimed in any one of claims 1 to 7 when executing the computer program.
10. A storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of the sitting posture identifying method according to any one of claims 1 to 7.
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