CN110368004B - Data monitoring method, device, equipment and storage medium - Google Patents
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Abstract
The invention discloses a data monitoring method, a data monitoring device, data monitoring equipment and a storage medium. The method comprises the following steps: acquiring a cervical vertebra bending angle, equipment parameters and eye parameters; determining the cervical vertebra fatigue degree of the current user according to the cervical vertebra bending angle and the corresponding duration; determining the eye fatigue of the current user according to the equipment parameters, the eye parameters and the corresponding duration; and if the cervical vertebra fatigue or the eye fatigue exceeds the corresponding set value, displaying prompt information. Through the technical scheme, the cervical vertebra bending angle, the equipment parameters, the eye parameters and the like of the user when the user uses the equipment (such as a mobile phone) are collected through the camera, the cervical vertebra fatigue degree and the eye fatigue degree of the user are determined, the accurate monitoring of the user fatigue degree can be realized under the condition that no external equipment is added, accurate monitoring data can be obtained more timely, and the fatigue degree can be determined more accurately.
Description
Technical Field
The embodiment of the invention relates to the technical field of internet, in particular to a data monitoring method, a data monitoring device, data monitoring equipment and a storage medium.
Background
With the popularization of smart phones, people use mobile phones for more and more time. The long-term use of the hands by the "lower head" can bring a series of health problems, most notably the harm to the cervical spine and eyes.
At present, all smart phones are provided with gyroscopes, and relevant position and posture data such as the gravity center, the direction, the motion direction and the like of the smart phone can be detected. The camera is usually also arranged, and can acquire information such as body postures, eye positions and the like of mobile phone users under the condition of authorized use. In order to enable a user to use the mobile phone healthily, the cervical vertebra and eye use health state of the mobile phone user can be judged and monitored according to the use posture and the use time of the user, and prompt reminding can be carried out when necessary.
Based on the above scheme, a scheme for monitoring data such as the pose of the user using the mobile phone is needed.
Disclosure of Invention
In order to solve the above problem, embodiments of the present invention provide a data monitoring method, apparatus, device and storage medium, so as to provide a scheme for monitoring data such as a pose of a user using a mobile phone.
In a first aspect, an embodiment of the present invention provides a data monitoring method, where the method includes:
acquiring a cervical vertebra bending angle, equipment parameters and eye parameters;
calculating the fatigue degree of the cervical vertebra of the current user according to the cervical vertebra bending angle;
calculating the eye fatigue of the current user according to the equipment parameters and the eye parameters;
and if the cervical vertebra fatigue or the eye fatigue exceeds the corresponding set value, displaying prompt information.
Further, still include: reference identification: a first reference identifier, a second reference identifier and a third reference identifier;
the method for acquiring the bending angle of the cervical vertebra comprises the following steps:
acquiring a current cervical vertebra inclination angle and a trunk inclination angle;
and determining the cervical vertebra bending angle according to the difference value between the trunk inclination angle and the cervical vertebra inclination angle.
Further, a method of obtaining a torso inclination angle, comprising:
identifying a first identifier identification interval between the first reference identifier and the second reference identifier, and a second identifier identification interval between the second reference identifier and the third reference identifier, which are acquired by a camera;
determining an identification spacing difference between the first identification spacing and the second identification spacing;
acquiring the measurement distance from the camera to the second reference mark;
and determining the inclination angle of the trunk according to the identification distance difference value and the measuring distance.
Further, the obtaining of the measured distance from the camera to the second reference identifier includes:
calibrating the calibration distance from the camera to the second reference mark when the cervical vertebra is not inclined;
calibrating the mark calibration size of the reference mark when the cervical vertebra is not inclined;
acquiring the identification size of the reference identification when measuring the cervical vertebra;
and determining the measuring distance from the camera to the second reference mark according to the calibration distance, the mark calibration size and the mark identification size.
Further, the method for obtaining the current cervical vertebra inclination angle comprises the following steps:
detecting and acquiring a current cervical vertebra inclination angle through a head gyroscope; alternatively, the first and second electrodes may be,
acquiring the offset distance of the head mark; and determining the current cervical vertebra inclination angle according to the offset distance.
Further, the device parameters include: the device display brightness, the device pose data.
Further, the calculating the eye fatigue of the current user according to the device parameter and the eye parameter includes:
and determining the eye fatigue of the current user according to the obtained continuous eye use duration of the user, the distance from the camera to the eyes, the display brightness of the equipment, the size of the eyes and the blink frequency.
Further, the calculating the fatigue of the cervical vertebra of the current user according to the bending angle of the cervical vertebra comprises:
acquiring the duration of the cervical vertebra continuous bending of a user;
and determining the fatigue of the cervical vertebra of the user according to the cervical vertebra bending angle and the continuous bending duration of the cervical vertebra.
In a second aspect, an embodiment of the present invention provides a data monitoring apparatus, including:
the acquisition module is used for acquiring the cervical vertebra bending angle, the equipment parameters and the eye parameters;
the first fatigue calculation module is used for determining the cervical vertebra fatigue degree of the current user according to the cervical vertebra bending angle and the corresponding duration;
the second fatigue calculation module is used for determining the eye fatigue of the current user according to the equipment parameters, the eye parameters and the corresponding duration;
and the prompting module is used for displaying prompting information if the cervical vertebra fatigue or the eye fatigue exceeds a corresponding set value.
In a third aspect, an embodiment of the present invention provides an electronic device, including a processor, and a memory, where the memory is configured to store one or more computer instructions, where the one or more computer instructions, when executed by the processor, implement:
acquiring a cervical vertebra bending angle, equipment parameters and eye parameters;
determining the cervical vertebra fatigue degree of the current user according to the cervical vertebra bending angle and the corresponding duration;
determining the eye fatigue of the current user according to the equipment parameters, the eye parameters and the corresponding duration;
and if the cervical vertebra fatigue or the eye fatigue exceeds the corresponding set value, displaying prompt information.
In a fourth aspect, an embodiment of the present invention provides a computer storage medium for storing a computer program, where the computer program is used to make a computer execute a method for monitoring data in the first aspect.
In the embodiment of the invention, the camera (for example, a mobile phone camera, a computer camera or other external cameras) is used for collecting relevant data such as the cervical vertebra bending angle of the user, the equipment parameters of the display equipment, the eye parameters of the user and the like in real time. Further, the cervical vertebra fatigue of the user is determined according to the timing duration and the cervical vertebra curvature, the eye fatigue of the user is determined according to the timing duration, the eye parameters and the equipment parameters, and if the cervical vertebra fatigue or the eye fatigue is found to exceed a preset set value through monitoring, prompt information is displayed through a display screen. Based on the technical scheme, the cervical vertebra bending angle, the equipment parameters, the eye parameters and the like of the user when the user uses the equipment (such as a mobile phone) are collected through the camera, the cervical vertebra fatigue degree and the eye fatigue degree of the user are determined, the accurate monitoring of the user fatigue degree can be realized under the condition that no external equipment is added, accurate monitoring data can be obtained more timely, and the fatigue degree can be determined more accurately.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic flow chart of a data monitoring method according to an embodiment of the present invention;
fig. 2a and 2b are schematic diagrams of torso inclination angle measurement according to an embodiment of the present invention;
fig. 3a and 3b are schematic views illustrating a measurement of a cervical vertebra inclination angle according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a data monitoring apparatus according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device corresponding to the data monitoring method provided in the embodiment of fig. 1.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present 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 terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the examples of the present invention and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, and "a" and "an" generally include at least two, but do not exclude at least one, unless the context clearly dictates otherwise.
It should be understood that the term "and/or" as used herein is merely one type of association that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
It is also noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a good or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such good or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a commodity or system that includes the element.
Fig. 1 is a schematic flow chart of a data association data monitoring method according to an embodiment of the present invention, where an execution subject of the method may be a terminal device such as a mobile phone or a computer having a camera function and serving as a server capable of establishing an association relationship between a region and a vehicle type. As shown in fig. 1, the method comprises the steps of:
101: and obtaining the cervical vertebra bending angle, equipment parameters and eye parameters.
In practical application, the bending angle of the cervical vertebra can be directly collected and identified through an external camera. For example, a camera for collecting the whole trunk image of the user can be arranged at a higher position of an office station or a public transport means (such as a subway or a bus), the image collected by the camera is further identified, and the cervical vertebra bending angle of the user is directly obtained; it should be noted that, if a camera other than the mobile phone is used to acquire the torso image of the user, the mobile phone and the camera need to perform image transmission with each other.
Device parameters as referred to herein may include the center of gravity and position of the device as captured by the device gyroscope, attitude, display screen brightness of the device, and the like. The ocular parameters referred to herein are typically ocular-related parameters acquired by the device, such as eye size, shape, blink frequency, and the like.
102: and calculating the fatigue of the cervical vertebra of the current user according to the cervical vertebra bending angle.
When calculating the fatigue of the cervical vertebra of the user, the bending degree and the continuous bending time of the cervical vertebra of the user are generally required to be acquired. It is easy to understand that the greater the curvature of the cervical vertebrae of the user and the longer the bending time, the more serious the fatigue of the user.
It should be noted that the cervical vertebrae bending angle referred to herein is relative to the body. In other words, the body is located at different inclination angles, which directly affects the inclination angle of the cervical vertebrae with respect to the ground. Therefore, when the cervical vertebra bending angle is calculated, the cervical vertebra bending angle can be directly identified and acquired through the camera; after the inclination angle of the trunk relative to the ground and the inclination angle of the cervical vertebra relative to the ground are respectively obtained through the camera, the inclination angle of the cervical vertebra relative to the trunk is further calculated.
103: and calculating the eye fatigue of the current user according to the equipment parameters and the eye parameters.
The device parameters can include brightness of a display screen of the mobile phone, device pose parameters, distance of the collected eyes from the display screen of the mobile phone, and the like. It is easy to understand that the degree of eye fatigue is related to the brightness of the display screen of the mobile phone, the distance between the eyes and the display screen of the mobile phone, and the duration of continuously watching the mobile phone. Generally, the brighter the brightness of the display screen of the mobile phone, the closer the distance and the longer the viewing time, the more serious the fatigue degree of the glasses is.
104: and if the cervical vertebra fatigue or the eye fatigue exceeds the corresponding set value, displaying prompt information.
If the equipment is assumed to be a mobile phone, the cervical vertebra fatigue and the eye fatigue of the user are monitored in the process that the user uses the mobile phone, and if the cervical vertebra fatigue or the eye fatigue is monitored by the mobile phone to exceed a preset set value, the cervical vertebra or the eyes of the user are considered to be tired, and rest adjustment is needed. Generally speaking, a user can be reminded of entering a fatigue stage by displaying prompt information on a display screen of a mobile phone; the user can be prompted to have tired and need to rest in a voice and display double prompting mode. If the fatigue degree is serious, the display screen can be forcibly closed.
In one or more embodiments of the invention, further comprising: reference identification: a first reference identifier, a second reference identifier and a third reference identifier;
the method for acquiring the cervical vertebra bending angle can comprise the following steps: acquiring a current cervical vertebra inclination angle and a trunk inclination angle; and determining the cervical vertebra bending angle according to the difference value between the trunk inclination angle and the cervical vertebra inclination angle.
As mentioned above, the bending angle of the cervical vertebrae is the bending angle of the cervical vertebrae with respect to the trunk. In practical application, the mobile phone cannot directly acquire the whole image of the user at one time in the using process; therefore, the head, the cervical vertebra image and the trunk image can be respectively obtained by the mobile phone, and the trunk inclination angle and the cervical vertebra inclination angle can be further identified. And calculating the curvature of the cervical vertebra according to the acquired cervical vertebra inclination angle and the acquired trunk inclination angle.
In one or more embodiments of the present invention, a method of obtaining a torso inclination angle may include: identifying a first identifier identification interval between the first reference identifier and the second reference identifier, and a second identifier identification interval between the second reference identifier and the third reference identifier, which are acquired by a camera; determining an identification spacing difference between the first identification spacing and the second identification spacing; acquiring the measurement distance from the camera to the second reference mark; and determining the inclination angle of the trunk according to the identification distance difference value and the measuring distance.
Fig. 2a shows a schematic diagram of the calculation of the inclination of the torso. In practical applications, in order to be able to identify the inclination angle of the torso, it is necessary to identify it by reference to a marker. For example, a torso image acquired by a mobile phone camera includes three buttons, and the sizes of the three buttons and the distance between two adjacent buttons are calibrated first. The three buttons are sequentially marked as a first reference mark, a second reference mark and a third reference mark from top to bottom. And further, calculating the inclination angle of the trunk according to the identification interval difference between the first identification interval and the second identification interval and the measurement distance from the camera to the second reference identification.
In one or more embodiments of the present invention, the obtaining a measured distance from the camera to the second reference identifier may specifically include: calibrating the calibration distance from the camera to the second reference mark when the cervical vertebra is not inclined; calibrating the mark calibration size of the reference mark when the cervical vertebra is not inclined; acquiring the identification size of the reference identification when measuring the cervical vertebra; and determining the measuring distance from the camera to the second reference mark according to the calibration distance, the mark calibration size and the mark identification size.
In practical application, the calibration of the reference mark is performed in a state that the cervical vertebrae are not inclined. The non-inclination is that under the condition that the body is not inclined relative to the trunk, the trunk image is acquired by the mobile phone to carry out corresponding calibration. Specifically, a calibration distance between the camera and a second reference mark is required to be calibrated, and the mark of the reference mark is calibrated. After the corresponding calibration is completed, the trunk image of the user can be collected through the camera, and the current trunk image is identified. And determining the identification size obtained after the current trunk image is identified. And further, determining the measurement distance from the current camera to the second reference mark according to the calibration distance, the mark calibration size and the mark identification size.
For example, a schematic diagram of torso inclination angle calculation is shown in fig. 2 b.
The reference mark is assumed to be a button, three buttons with the same size are matched with the mobile phone and fixed at the fixed position of the trunk, and the three buttons are used for identifying and calculating the vertical line theta 2 between the trunk and the ground for the camera of the mobile phone. The identification process is briefly described as follows:
the diameter of each button is d, the fixed distance between each two nearest buttons is S, the linear distance from the camera to the second button is h, and the buttons are respectively scanned and calibrated when the buttons are calibrated.
Assuming that the offset angle of the human body trunk and the ground perpendicular line is theta 2, respectively making 2 straight lines from the mobile phone camera, wherein the straight lines are respectively perpendicular to the trunk and the ground, and the included angle of the 2 straight lines is theta 2', so that theta 2' is theta 2;
when the angle is not deviated, the theta 2' is 0, and the length S1 acquired by the mobile phone camera is S2;
the linear distance h 'from the mobile phone camera to the second button is in direct proportion to the measured actually-measured diameter d' of the button, namely
Further, the air conditioner is provided with a fan,
since θ 2 ═ θ 2, the torso inclination angle θ 2 can be calculated.
After angle correction or under an ideal condition, the straight line from the camera to the second button is perpendicular to the straight lines of the three buttons. In practical applications, since the mobile phone screen and the user's torso are in a parallel relationship, the mobile phone screen can be considered as a perpendicular relationship approximately.
In one or more embodiments of the present invention, the method for obtaining the current cervical vertebra inclination angle may specifically include: detecting and acquiring a current cervical vertebra inclination angle through a head gyroscope; or, obtaining an offset distance of the head marker; and determining the current cervical vertebra inclination angle according to the offset distance.
Fig. 3a and 3b are schematic views illustrating the calculation of the cervical vertebrae inclination angle. As mentioned above, in order to measure the bending angle of the cervical vertebrae, the cervical vertebrae inclination angle needs to be obtained first. The head marker referred to herein may be an ear piece worn over the ear. For example, if a user wears an earphone on his or her ear and the earphone has a gyroscope, the user can detect the inclination angle of the cervical vertebra (the inclination angle detected by the gyroscope is an inclination angle with respect to the ground), and further send the inclination angle acquired by the gyroscope of the earphone to the mobile phone terminal. If the gyroscope is not contained in the earphone, the posture of the earphone can be collected through a camera (such as a mobile phone camera), specifically, the posture of the earphone in the cervical vertebra non-inclined state is collected firstly, the posture of the earphone in the cervical vertebra inclined state is collected again, the two postures are compared, the offset distance of the earphone can be obtained, and therefore the current cervical vertebra inclination angle can be determined.
In one or more embodiments of the invention, the device parameters include: the device display brightness, the device pose data.
It should be noted that, when the cervical vertebra inclination angle and the trunk inclination angle are calculated as described above, images may be collected and identified by a mobile phone camera, or collected and calculated by an external camera or an earphone built-in gyroscope. If images are collected through a camera of the mobile phone and are identified and calculated, the obtained cervical vertebra inclination angle or the obtained torso inclination angle can be determined relative to the mobile phone or relative to the ground, in other words, in order to calculate an accurate cervical vertebra bending angle, the cervical vertebra inclination angle and the torso inclination angle need to be calculated according to a unified reference object.
In one or more embodiments of the present invention, the calculating the current eye fatigue of the user according to the device parameter and the eye parameter may specifically include: and determining the eye fatigue of the current user according to the obtained continuous eye use duration of the user, the distance from the camera to the eyes, the display brightness of the equipment, the size of the eyes and the blink frequency.
In practical application, timing is started when the eye fatigue of a user is monitored, the duration of continuous eye use of the user is counted, and the display brightness of the equipment and the distance from a camera of the equipment to the eyes are continuously acquired according to a preset period (because the camera is arranged on the equipment, the distance from the camera to the eyes can be approximately considered as the distance from a display screen of the equipment to the eyes). Meanwhile, the eye size, the blinking frequency, and the like are collected by a camera.
For example, the degree of eye fatigue can be expressed by the following formula:
in the above formula: EFATIGUE-degree of eye fatigue; tc-eye time; TC-eye time coefficient (adjustable); d 0-eye appropriate distance from handset; d-distance between eyes and mobile phone; d-distance coefficient (adjustable); l 0-mobile phone adapted brightness (considering environmental background); l-mobile phone brightness; l-luminance coefficient (adjustable); es0 — eye initial size (reserved value); es-eye size (real time quantity); ES-eye size coefficient (adjustable); ef: blink frequency; ef 0: blink frequency initial value (reserved value); EF-blink frequency coefficient (adjustable). The EFATIGUE-value may be reset manually or automatically after 2 consecutive hours (adjustable) of absence of the phone.
In one or more embodiments of the present invention, the calculating the cervical vertebra fatigue of the current user according to the cervical vertebra bending angle may specifically include: acquiring the duration of the cervical vertebra continuous bending of a user; and determining the fatigue of the cervical vertebra of the user according to the cervical vertebra bending angle and the continuous bending duration of the cervical vertebra.
For example, the degree of cervical spine fatigue can be expressed by the following formula:
in the above formula: CP-degree of cervical vertebra fatigue; a-obtaining the cervical vertebra offset angle according to the scanning of the camera; and (4) calculating the A-cervical vertebra angle coefficient (which can be adjusted correspondingly according to the practical application condition). The CP-value can be reset manually or automatically after not looking at the mobile phone for 2 consecutive hours (which can be adjusted accordingly according to practical application conditions).
Based on the same idea, as shown in fig. 4, an embodiment of the present invention further provides a data monitoring apparatus, where the apparatus includes:
an obtaining module 41, configured to obtain a cervical vertebra bending angle, an apparatus parameter, and an eye parameter;
the first fatigue calculating module 42 is used for calculating the fatigue degree of the cervical vertebra of the current user according to the cervical vertebra bending angle;
a second fatigue calculating module 43, configured to calculate a current user eye fatigue degree according to the device parameter and the eye parameter;
and the prompt module 44 is configured to display a prompt message if the cervical vertebra fatigue degree or the eye fatigue degree exceeds a corresponding set value.
Further, still include: reference identification: a first reference identifier, a second reference identifier and a third reference identifier;
the obtaining module 41 is configured to obtain a current cervical vertebra inclination angle and a trunk inclination angle;
and determining the cervical vertebra bending angle according to the difference value between the trunk inclination angle and the cervical vertebra inclination angle.
Further, the obtaining module 41 is configured to identify a first identifier identification interval between the first reference identifier and the second reference identifier obtained by the camera, and a second identifier identification interval between the second reference identifier and the third reference identifier;
determining an identification spacing difference between the first identification spacing and the second identification spacing;
acquiring the measurement distance from the camera to the second reference mark;
and determining the inclination angle of the trunk according to the identification distance difference value and the measuring distance.
Further, the obtaining module 41 is configured to calibrate a calibration distance from the camera to the second reference mark when the cervical vertebra is not tilted;
calibrating the mark calibration size of the reference mark when the cervical vertebra is not inclined;
acquiring the identification size of the reference identification when measuring the cervical vertebra;
and determining the measuring distance from the camera to the second reference mark according to the calibration distance, the mark calibration size and the mark identification size.
Further, the obtaining module 41 is configured to obtain a current cervical vertebra inclination angle through head gyroscope detection; or, obtaining an offset distance of the head marker; and determining the current cervical vertebra inclination angle according to the offset distance.
Further, the device parameters include: the device display brightness, the device pose data.
Further, the first fatigue calculating module 42 is configured to determine the eye fatigue of the current user according to the obtained duration of the continuous eye use of the user, the distance from the camera to the eye, the device display brightness, the eye size, and the blink frequency.
Further, the second fatigue calculating module 43 is configured to obtain a duration of the cervical vertebra bending of the user;
and determining the fatigue of the cervical vertebra of the user according to the cervical vertebra bending angle and the continuous bending duration of the cervical vertebra.
Based on the same idea, as shown in fig. 5, an embodiment of the present invention further provides an electronic device, which includes a processor 51, a memory 52, and the memory 52 is configured to store one or more computer instructions, where the one or more computer instructions, when executed by the processor 51, implement:
acquiring a cervical vertebra bending angle, equipment parameters and eye parameters;
calculating the fatigue degree of the cervical vertebra of the current user according to the cervical vertebra bending angle;
calculating the eye fatigue of the current user according to the equipment parameters and the eye parameters;
and if the cervical vertebra fatigue or the eye fatigue exceeds the corresponding set value, displaying prompt information.
In addition, an embodiment of the present invention provides a computer storage medium for computer software instructions used by a server, which contains a program for executing the data monitoring method in the method embodiment shown in fig. 1.
Based on the above embodiments, it can be known that the camera (for example, a mobile phone camera, a computer camera or other external cameras) collects the relevant data such as the cervical vertebra bending angle of the user, the device parameters of the display device, the eye parameters of the user and the like in real time. Further, the cervical vertebra fatigue of the user is determined according to the timing duration and the cervical vertebra curvature, the eye fatigue of the user is determined according to the timing duration, the eye parameters and the equipment parameters, and if the cervical vertebra fatigue or the eye fatigue is found to exceed a preset set value through monitoring, prompt information is displayed through a display screen. Based on the technical scheme, the cervical vertebra bending angle, the equipment parameters, the eye parameters and the like of the user when the user uses the equipment (such as a mobile phone) are collected through the camera, the cervical vertebra fatigue degree and the eye fatigue degree of the user are determined, the accurate monitoring of the user fatigue degree can be realized under the condition that no external equipment is added, accurate monitoring data can be obtained more timely, and the fatigue degree can be determined more accurately.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by adding a necessary general hardware platform, and of course, can also be implemented by a combination of hardware and software. With this understanding in mind, the above-described aspects and portions of the present technology which contribute substantially or in part to the prior art may be embodied in the form of a computer program product, which may be embodied on one or more computer-usable storage media having computer-usable program code embodied therein, including without limitation disk storage, CD-ROM, optical storage, and the like.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable resource updating apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable resource updating apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable resource updating apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable resource updating apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art 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 method of data monitoring, the method comprising:
acquiring a cervical vertebra bending angle, equipment parameters and eye parameters;
determining the cervical vertebra fatigue degree of the current user according to the cervical vertebra bending angle and the corresponding duration;
determining the eye fatigue of the current user according to the equipment parameters, the eye parameters and the corresponding duration; the device parameter comprises a device display brightness; determining the current eye fatigue mode for the user comprises determining the current eye fatigue of the user according to the obtained duration of the user continuously using eyes, the distance from a camera to the eyes, the display brightness of equipment, the size of the eyes and the blinking frequency; the specific formula is as follows:
in the above formula: EFATIGUE-degree of eye fatigue; tc-eye time; TC-eye time coefficient; -d0-The eyes are at a proper distance from the mobile phone; d-distance between eyes and mobile phone; d-distance coefficient; l0-a handset adapted brightness; l-mobile phone brightness; l-luminance coefficient; es0-an eye initial size; es-eye size; ES-eye size coefficient; ef: blink frequency; ef0: an initial value of blink frequency; EF-blink frequency coefficient; the EFATIGUE-value can be reset manually or automatically after the mobile phone is not seen for a plurality of continuous hours;
and if the cervical vertebra fatigue or the eye fatigue exceeds the corresponding set value, displaying prompt information.
2. The method of claim 1, further comprising: reference identification: a first reference identifier, a second reference identifier and a third reference identifier;
the method for acquiring the bending angle of the cervical vertebra comprises the following steps:
acquiring a current cervical vertebra inclination angle and a trunk inclination angle;
and determining the cervical vertebra bending angle according to the difference value between the trunk inclination angle and the cervical vertebra inclination angle.
3. The method of claim 2, wherein the method of obtaining the torso inclination angle comprises:
identifying a first identifier identification interval between the first reference identifier and the second reference identifier, and a second identifier identification interval between the second reference identifier and the third reference identifier, which are acquired by a camera;
determining an identification spacing difference between the first identification spacing and the second identification spacing;
acquiring the measurement distance from the camera to the second reference mark;
and determining the inclination angle of the trunk according to the identification distance difference value and the measuring distance.
4. The method of claim 3, wherein said obtaining a measured distance from a camera to said second reference marker comprises:
calibrating the calibration distance from the camera to the second reference mark when the cervical vertebra is not inclined;
calibrating the mark calibration size of the reference mark when the cervical vertebra is not inclined;
acquiring the identification size of the reference identification when measuring the cervical vertebra;
and determining the measuring distance from the camera to the second reference mark according to the calibration distance, the mark calibration size and the mark identification size.
5. The method of claim 2, wherein the method of obtaining the current cervical vertebral inclination angle comprises:
detecting and acquiring a current cervical vertebra inclination angle through a head gyroscope; alternatively, the first and second electrodes may be,
acquiring the offset distance of the head mark; and determining the current cervical vertebra inclination angle according to the offset distance.
6. The method of any of claims 1 to 5, wherein the device parameters comprise: the device display brightness, the device pose data.
7. The method of claim 1, wherein the calculating the cervical vertebra fatigue of the current user according to the cervical vertebra bending angle comprises:
acquiring the duration of the cervical vertebra continuous bending of a user;
and determining the fatigue of the cervical vertebra of the user according to the cervical vertebra bending angle and the continuous bending duration of the cervical vertebra.
8. A data monitoring device, the device comprising:
the acquisition module is used for acquiring the cervical vertebra bending angle, the equipment parameters and the eye parameters;
the first fatigue calculating module is used for calculating the fatigue degree of the cervical vertebra of the current user according to the cervical vertebra bending angle;
the second fatigue calculating module is used for calculating the eye fatigue of the current user according to the equipment parameters and the eye parameters; the device parameter comprises a device display brightness; determining the current eye fatigue mode for the user comprises determining the current eye fatigue of the user according to the obtained duration of the user continuously using eyes, the distance from a camera to the eyes, the display brightness of equipment, the size of the eyes and the blinking frequency; the specific formula is as follows:
in the above formula: EFATIGUE-degree of eye fatigue; tc-eye time; TC-eye time coefficient; d0-eye to handset proper distance; d-distance between eyes and mobile phone; d-distance coefficient; l0-a handset adapted brightness; l-mobile phone brightness; l-luminance coefficient; es0-an eye initial size; es-eye size; ES-eye size coefficient; ef: blink frequency; ef0: an initial value of blink frequency; EF-blink frequency coefficient; the EFATIGUE-value can be reset manually or automatically after the mobile phone is not seen for a plurality of continuous hours;
and the prompting module is used for displaying prompting information if the cervical vertebra fatigue or the eye fatigue exceeds a corresponding set value.
9. A computer storage medium storing a computer program which, when executed by a computer, causes the computer to implement the data monitoring method of any one of claims 1 to 7.
10. An electronic device comprising a processor, a memory to store one or more computer instructions, wherein the one or more computer instructions, when executed by the processor, implement:
acquiring a cervical vertebra bending angle, equipment parameters and eye parameters;
calculating the fatigue degree of the cervical vertebra of the current user according to the cervical vertebra bending angle;
calculating the eye fatigue of the current user according to the equipment parameters and the eye parameters; the device parameter comprises a device display brightness; determining the current eye fatigue mode for the user comprises determining the current eye fatigue of the user according to the obtained duration of the user continuously using eyes, the distance from a camera to the eyes, the display brightness of equipment, the size of the eyes and the blinking frequency; the specific formula is as follows:
in the above formula: EFATIGUE-degree of eye fatigue; tc-eye time; TC-eye time coefficient; d0-eye to handset proper distance; d-distance between eyes and mobile phone; d-distance coefficient; l0-a handset adapted brightness; l-mobile phone brightness; l-luminance coefficient; es0-an eye initial size; es-eye size; ES-eye size coefficient; ef: blink frequency; ef0: an initial value of blink frequency; EF-blink frequency coefficient; the EFATIGUE-value can be reset manually or automatically after the mobile phone is not seen for a plurality of continuous hours;
and if the cervical vertebra fatigue or the eye fatigue exceeds the corresponding set value, displaying prompt information.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5944664A (en) * | 1997-05-22 | 1999-08-31 | Kazuyuki Hayashi | Method of measuring the amount of dislocation of cervical vertebrae |
| CN106933358A (en) * | 2017-02-28 | 2017-07-07 | 宇龙计算机通信科技(深圳)有限公司 | A kind of cervical vertebra guard method, device and intelligent helmet |
| CN106991792A (en) * | 2017-05-15 | 2017-07-28 | 广东小天才科技有限公司 | Eye fatigue detection method and device and user equipment |
| CN107993262A (en) * | 2017-10-25 | 2018-05-04 | 深圳市金立通信设备有限公司 | Terminal device uses posture reminding method, terminal and computer-readable recording medium |
| CN109375970A (en) * | 2018-09-14 | 2019-02-22 | 深圳市泰衡诺科技有限公司 | Screen self-adapting regulation method, computer readable storage medium and terminal device |
| CN109528205A (en) * | 2018-11-15 | 2019-03-29 | 歌尔科技有限公司 | A kind of reminding method, device, helmet and computer readable storage medium |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105100418B (en) * | 2015-05-28 | 2018-04-17 | 努比亚技术有限公司 | It is a kind of to realize the method and apparatus reminded |
| CN107645590A (en) * | 2017-08-16 | 2018-01-30 | 广东小天才科技有限公司 | Eye fatigue reminding method and user terminal |
| CN109670421B (en) * | 2018-12-04 | 2021-04-16 | 青岛小鸟看看科技有限公司 | Fatigue state detection method and device |
-
2019
- 2019-06-03 CN CN201910477192.8A patent/CN110368004B/en not_active Expired - Fee Related
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5944664A (en) * | 1997-05-22 | 1999-08-31 | Kazuyuki Hayashi | Method of measuring the amount of dislocation of cervical vertebrae |
| CN106933358A (en) * | 2017-02-28 | 2017-07-07 | 宇龙计算机通信科技(深圳)有限公司 | A kind of cervical vertebra guard method, device and intelligent helmet |
| CN106991792A (en) * | 2017-05-15 | 2017-07-28 | 广东小天才科技有限公司 | Eye fatigue detection method and device and user equipment |
| CN107993262A (en) * | 2017-10-25 | 2018-05-04 | 深圳市金立通信设备有限公司 | Terminal device uses posture reminding method, terminal and computer-readable recording medium |
| CN109375970A (en) * | 2018-09-14 | 2019-02-22 | 深圳市泰衡诺科技有限公司 | Screen self-adapting regulation method, computer readable storage medium and terminal device |
| CN109528205A (en) * | 2018-11-15 | 2019-03-29 | 歌尔科技有限公司 | A kind of reminding method, device, helmet and computer readable storage medium |
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