CN110793608B - Method, apparatus, server and storage medium for analyzing body data of human body - Google Patents
Method, apparatus, server and storage medium for analyzing body data of human body Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/44—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing persons
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- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
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- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
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Abstract
The embodiment of the invention provides a method, a device, a server and a storage medium for analyzing body data of a human body. The method for analyzing body data of a human body includes: acquiring weight parameters of a human body on the intelligent electronic scale, wherein the weight parameters comprise a first weight of a first preset area and a second weight of a second preset area; calculating the magnitude relationship between the first weight and the second weight; matching a corresponding preset selection instruction according to the size relation; selecting a measurement input parameter based on the preset selection instruction; analyzing the body data of the human body according to the measurement input parameters. The method achieves the effects of improving the operation convenience in parameter selection and reducing the manufacturing cost of the electronic scale.
Description
Technical Field
The embodiment of the invention relates to the technical field of intelligent measurement, in particular to a method, a device, a server and a storage medium for analyzing body data of a human body.
Background
With the improvement of the living standard of people, the weight, the body fat and the like become health data which are more and more concerned in life.
Currently, users use intelligent electronic scales to measure body data of the body, such as health data like body fat. When the intelligent electronic scale is used for measuring health data, parameters such as age, sex and the like need to be selected through keys on the intelligent electronic scale, and then the intelligent electronic scale analyzes and calculates body data of a user such as body fat and the like according to the parameters set by the user and the measured data.
However, in the existing process of measuring body data, when parameters are selected through keys on the intelligent electronic scale, a user needs to bend down or squat down, which causes inconvenience in use. In addition, the key is arranged on the intelligent electronic scale, so that the manufacturing cost is increased.
Disclosure of Invention
Embodiments of the present invention provide a method, an apparatus, a server, and a storage medium for analyzing body data of a human body, so as to achieve the effects of improving operation convenience in selecting parameters and reducing manufacturing costs of electronic scales.
In a first aspect, an embodiment of the present invention provides a method for analyzing body data of a human body, including:
acquiring weight parameters of a human body on the intelligent electronic scale, wherein the weight parameters comprise a first weight of a first preset area and a second weight of a second preset area;
calculating the magnitude relationship between the first weight and the second weight;
matching a corresponding preset selection instruction according to the size relation;
selecting a measurement input parameter based on the preset selection instruction;
analyzing the body data of the human body according to the measurement input parameters.
Optionally, the matching of the corresponding preset selection instruction according to the size relationship includes:
if the first weight is larger than the second weight and the difference value between the first weight and the second weight is larger than a first preset threshold value, matching a first preset selection instruction;
if the second weight is larger than the first weight and the difference value between the second weight and the first weight is larger than a second preset threshold value, matching a second preset selection instruction;
and if the difference value of the first weight and the second weight is within a preset interval, matching a third preset selection instruction.
Optionally, before the selecting the measurement input parameter based on the preset selection instruction, the method further includes:
judging whether the duration time of the size relationship is greater than a time threshold value;
selecting a measurement input parameter based on the preset selection instruction if the duration is greater than the time threshold.
Optionally, the time threshold includes a first time threshold and a second time threshold, and if the duration is greater than the time threshold, selecting a measurement input parameter based on the preset selection instruction includes:
selecting a measurement input parameter at a first speed based on the preset selection instruction if the duration is greater than the first time threshold;
selecting a measurement input parameter at a second speed based on the preset selection instruction if the duration is greater than the second time threshold.
Optionally, before the obtaining of the weight parameter of the human body on the intelligent electronic scale, the method includes:
acquiring characteristic parameters of a human body, and matching preset users according to the characteristic parameters;
and acquiring corresponding preset measurement parameters according to the preset user.
Optionally, the measurement input parameters include height, gender, and age.
Optionally, the physical data includes heart rate, blood pressure, blood sugar, blood oxygen, body weight, body temperature, fat, trace elements.
In a second aspect, an embodiment of the present invention provides an apparatus for analyzing body data of a human body, including:
the acquiring module is used for acquiring weight parameters of a human body on the intelligent electronic scale, wherein the weight parameters comprise a first weight of a first preset area and a second weight of a second preset area;
the calculating module is used for calculating the magnitude relation between the first weight and the second weight;
the matching module is used for matching the corresponding preset selection instruction according to the size relation;
the selection module is used for selecting a measurement input parameter based on the preset selection instruction;
and the measurement analysis module is used for analyzing the body data of the human body according to the measurement input parameters.
In a third aspect, an embodiment of the present invention provides a server, including:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement a method of analyzing body data of a human body as described in any embodiment of the invention.
In a fourth aspect, embodiments of the present invention provide a computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements a method of analyzing body data of a human body according to any of the embodiments of the present invention.
According to the embodiment of the invention, the weight parameters of a human body on the intelligent electronic scale are obtained, wherein the weight parameters comprise a first weight of a first preset area and a second weight of a second preset area; calculating the magnitude relationship between the first weight and the second weight; matching a corresponding preset selection instruction according to the size relation; selecting a measurement input parameter based on the preset selection instruction; according to the method, the body data of the human body are analyzed according to the measurement input parameters, the problems that when the parameters are selected through the keys on the intelligent electronic scale, the user needs to bend down or squat to cause inconvenience in use and the manufacturing cost is increased due to the fact that the keys are arranged on the intelligent electronic scale are solved, and the effects of improving operation convenience when the parameters are selected and reducing the manufacturing cost of the electronic scale are achieved.
Drawings
Fig. 1 is a schematic flow chart of a method for analyzing body data of a human body according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an intelligent electronic scale according to an embodiment of the present invention;
fig. 3 is a flowchart illustrating a method for analyzing body data of a human body according to a second embodiment of the present invention;
fig. 4 is a schematic structural diagram of an apparatus for analyzing body data of a human body according to a third embodiment of the present invention;
fig. 5 is a schematic structural diagram of a server according to a fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the steps as a sequential process, many of the steps can be performed in parallel, concurrently or simultaneously. In addition, the order of the steps may be rearranged. A process may be terminated when its operations are completed, but may have additional steps not included in the figure. A process may correspond to a method, a function, a procedure, a subroutine, a subprogram, etc.
Furthermore, the terms "first," "second," and the like may be used herein to describe various orientations, actions, steps, elements, or the like, but the orientations, actions, steps, or elements are not limited by these terms. These terms are only used to distinguish one direction, action, step or element from another direction, action, step or element. For example, the first information may be referred to as second information, and similarly, the second information may be referred to as first information, without departing from the scope of the present application. The first information and the second information are both information, but they are not the same information. The terms "first", "second", etc. are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Example one
Fig. 1 is a flowchart of a method for analyzing body data of a human body according to an embodiment of the present invention, which is applicable to a scenario in which body data of a human body is measured, and the method may be performed by an apparatus for analyzing body data of a human body, which may be implemented in software and/or hardware, and may be integrated on a server.
As shown in fig. 1, a method for analyzing body data of a human body according to an embodiment of the present invention includes:
s110, acquiring weight parameters of the human body on the intelligent electronic scale, wherein the weight parameters comprise a first weight of a first preset area and a second weight of a second preset area.
The intelligent electronic scale refers to an intelligent electronic scale, and includes but is not limited to functions of measuring weight, body fat, heart rate and the like. The weight parameter refers to a parameter related to weight measured on the intelligent electronic scale. In this embodiment, the weight parameter includes a first weight of the first preset area and a second weight of the second preset area. The first preset area and the second preset area refer to preset areas on the intelligent electronic scale, but the first preset area and the second preset area are not identical preset areas. The first predetermined area and the second predetermined area may be determined according to a device or structure for measuring weight on the electronic scale. Referring to fig. 2, fig. 2 is a schematic structural diagram of an intelligent electronic scale. Specifically, in some existing intelligent electronic scales, 4 pressure sensors are included: s1, S2, S3 and S4, 4 sensors are arranged on 4 vertexes of a rectangle, the 4 sensors are electrically connected in pairs to form a full-bridge sensor, and the electronic scale can measure unilateral weights, such as the left (S1S2) and the right (S3S4) weights, the upper (S1S4) and the lower (S2S3) weights and the like. The first predetermined region may be a region on the left (S1S2) where the one-sided weight can be measured, and the second predetermined region may be a region on the right (S3S4) where the one-sided weight can be measured. Likewise, the first predetermined region may be a region where the upper side (S1S4) can measure the unilateral weight, and the second predetermined region may be a region where the lower side (S2S3) can measure the unilateral weight, which is not limited herein. The first weight refers to the weight measured in the first preset area, and the second weight refers to the weight measured in the second preset area. It should be noted that the embodiment of the present invention is not limited to the electronic scale with 4 sensors, and can be implemented as long as the electronic scale can measure the unilateral weight.
And S120, calculating the size relation between the first weight and the second weight.
Wherein, the magnitude relation refers to the larger value of the first weight and the second weight and the difference value of the two weights. The user can change the magnitude relation of the first weight and the second weight by controlling the gravity center of the body to incline on the electronic scale. Specifically, for example, the first weight is 30KG and the second weight is 50KG, the first weight is greater than the second weight, and the difference between the first weight and the second weight is 20 KG.
And S130, matching the corresponding preset selection instruction according to the size relation.
The preset selection instruction is an instruction for selecting a parameter. Optionally, the preset selection instruction may include a determination instruction, a measurement input parameter switching instruction, and the like, which is not limited herein. The size relationship is in one-to-one correspondence with the preset selection instruction.
In an optional embodiment, matching the corresponding preset selection instruction according to the size relationship may specifically include:
if the first weight is larger than the second weight and the difference value between the first weight and the second weight is larger than a first preset threshold value, matching a first preset selection instruction;
if the second weight is larger than the first weight and the difference value between the second weight and the first weight is larger than a second preset threshold value, matching a second preset selection instruction;
and if the difference value of the first weight and the second weight is within a preset interval, matching a third preset selection instruction.
The first preset threshold is a threshold for judging whether the first preset selection instruction needs to be matched. The second preset threshold is a threshold for judging whether a second preset selection instruction needs to be matched. The preset interval is an interval range for judging whether the third preset selection instruction needs to be matched. In this embodiment, optionally, the first preset selection instruction may be a measurement input parameter down-switching instruction, the second preset selection instruction may be a measurement input parameter up-switching instruction, and the third preset selection instruction may be a confirmation instruction or a switching instruction of a measurement input parameter type, which is not limited herein.
Illustratively, when the first weight is greater than the second weight and the difference between the first weight and the second weight is greater than a first preset threshold, then a measurement input parameter down-switch instruction is executed, for example, to down-switch the age, i.e., to reduce the age (e.g., from 25 years to 24 years) when the age is selected.
And S140, selecting a measurement input parameter based on the preset selection instruction.
The measurement input parameter is a parameter required for measuring the body data. In this embodiment, optionally, the measurement input parameters include, but are not limited to, height, gender, age, and the like. When there are multiple measurement input parameters, the above steps need to be repeated until all the measurement input parameters are selected.
And S150, analyzing the body data of the human body according to the measurement input parameters.
The physical data refers to health data related to a human body. In this embodiment, the physical data includes, but is not limited to, heart rate, blood pressure, blood sugar, blood oxygen, body weight, body temperature, fat, trace elements, and the like, which is not limited herein. In this step, analyzing the body data of the human body means performing a comprehensive analysis by measuring the input parameters and the reference data obtained by measuring on the intelligent electronic scale, thereby obtaining the body data of the human body. Illustratively, the user selects a measurement input parameter (such as age, height, sex and the like) through the inclination of the gravity center, the intelligent electronic scale measures reference data (such as the complete weight, the biological impedance and the like) of the user standing on the intelligent electronic scale, and the measurement input parameter and the reference data are combined for analysis, so that the physical data of the user are obtained.
In this embodiment, the user may select the measurement input parameter by changing the magnitude relationship between the first weight and the second weight by tilting the center of gravity of the user on the electronic scale. In the whole measuring process, a user can select the measuring input parameters without pressing keys, so that the use operation convenience is improved. In addition, the electronic scale does not need to select keys, and the manufacturing cost of the electronic scale is reduced.
In an optional embodiment, before the step S140, selecting the measurement input parameter based on the preset selection instruction, the method may further include:
judging whether the duration time of the size relationship is greater than a time threshold value;
selecting a measurement input parameter based on the preset selection instruction if the duration is greater than the time threshold.
Wherein, when the duration of the magnitude relation is larger than the time threshold, the measurement input parameter is selected based on the preset selection instruction. Specifically, the duration of the size relationship is changed before reaching the time threshold, and the duration for recovering the original size relationship needs to be recalculated, or may be calculated continuously on the basis of the previous time, which is not limited herein. Preferably, the duration of the size relationship changes before the time threshold is reached, and the duration for restoring the original size relationship needs to be recalculated.
In an optional implementation, the time threshold includes a first time threshold and a second time threshold, and if the duration is greater than the time threshold, selecting the measurement input parameter based on the preset selection instruction may specifically include:
selecting a measurement input parameter at a first speed based on the preset selection instruction if the duration is greater than the first time threshold;
selecting a measurement input parameter at a second speed based on the preset selection instruction if the duration is greater than the second time threshold.
The first time threshold and the second time threshold are different in size, and the first speed and the second speed are also different in size. In particular, the magnitudes of the first and second velocities are related to the magnitudes of the first and second time thresholds. The second speed is greater than the first speed when the second time threshold is greater than the first time threshold. Take the example that the second time threshold is greater than the first time threshold. When the duration of the magnitude relation is greater than a first time threshold, selecting a measurement input parameter at a first speed; when the duration is greater than a second time threshold, then the measured input parameter is selected from the first speed to the second speed. By judging whether the duration time is greater than the first time threshold or the second time threshold, the measurement input parameters are selected at different speeds, so that the selection of the measurement input parameters can be accelerated, and the time for measuring the body data can be shortened.
According to the technical scheme of the embodiment of the invention, the weight parameters of the human body on the intelligent electronic scale are obtained, wherein the weight parameters comprise a first weight of a first preset area and a second weight of a second preset area; calculating the magnitude relationship between the first weight and the second weight; matching a corresponding preset selection instruction according to the size relation; selecting a measurement input parameter based on the preset selection instruction; the body data of the human body are analyzed according to the measurement input parameters, when a user uses the electronic scale to measure the body data, the size relation between the first weight and the second weight is changed only through the inclination of the gravity center of the user, so that the measurement input parameters are selected, the operation can be realized without keys, and the technical effect of improving the operation convenience in parameter selection is achieved. In addition, the electronic scale does not need to be provided with keys, and the manufacturing cost of the electronic scale is reduced.
Example two
Fig. 3 is a flowchart illustrating a method for analyzing body data of a human body according to a second embodiment of the present invention. The embodiment is further refined in the technical scheme, and is suitable for a scene of measuring body data of a human body. The method may be performed by a device for analyzing body data of a human body, which may be implemented in software and/or hardware, and may be integrated on a server.
As shown in fig. 3, a method for analyzing body data of a human body according to a second embodiment of the present invention includes:
s210, obtaining characteristic parameters of the human body, and matching preset users according to the characteristic parameters.
The characteristic parameter refers to a parameter that can confirm the identity of the user. Specifically, the characteristic parameter may be the whole weight and the bio-impedance of the user, and the specific characteristic parameter is not limited herein. The preset user refers to a user which is stored in the intelligent electronic scale in advance. Specifically, when the feature parameters of different users are relatively close, there may be a plurality of matching preset users. The user can control the gravity center inclination to change the size relation of the first weight and the second weight according to the identity of the user, so that the user can select the preset user corresponding to the user from a plurality of preset users, and the corresponding preset measurement parameters are obtained for measurement.
And S220, acquiring corresponding preset measurement parameters according to the preset user.
The preset measurement parameters refer to measurement input parameters corresponding to a preset user. The preset user is matched through the characteristic parameters of the human body, so that the preset measurement parameters corresponding to the preset user are obtained, the use convenience is enhanced, and the time for selecting the measurement parameters is shortened. In this embodiment, the preset measurement parameters are at least one set, and each set of preset measurement parameters includes at least one preset sub-parameter (e.g., height, age, sex, etc.).
S230, acquiring weight parameters of the human body on the intelligent electronic scale, wherein the weight parameters comprise a first weight of a first preset area and a second weight of a second preset area.
The intelligent electronic scale refers to an intelligent electronic scale, and includes but is not limited to functions of measuring weight, body fat, heart rate and the like. The weight parameter refers to a parameter related to weight measured on the intelligent electronic scale. In this embodiment, the weight parameter includes a first weight of the first preset area and a second weight of the second preset area. The first preset area and the second preset area refer to preset areas on the intelligent electronic scale, but the first preset area and the second preset area are not identical preset areas. The first predetermined area and the second predetermined area may be determined according to a device or structure for measuring weight on the electronic scale.
And S240, calculating the size relation between the first weight and the second weight.
Wherein, the magnitude relation refers to the larger value of the first weight and the second weight and the difference value of the two weights. The user can change the magnitude relation of the first weight and the second weight by controlling the gravity center of the body to incline on the electronic scale. Specifically, for example, the first weight is 30KG and the second weight is 50KG, the first weight is greater than the second weight, and the difference between the first weight and the second weight is 20 KG.
And S250, matching the corresponding preset selection instruction according to the size relation.
The preset selection instruction is an instruction for selecting a parameter. Optionally, the preset selection instruction may include a determination instruction, a measurement input parameter switching instruction, and the like, which is not limited herein. The size relationship is in one-to-one correspondence with the preset selection instruction. In this embodiment, since the preset measurement parameters are one or more sets, the preset selection instruction may also be a switching instruction of each set of the preset measurement parameters.
For example, if the preset measurement parameters only have one group and just correspond to the user in use, the preset selection instruction may be a determination instruction; if there are multiple groups of preset measurement parameters, the preset selection instruction may be a switching instruction of each group of preset measurement parameters, so as to switch to the preset measurement parameters meeting the user in use; in addition, the preset selection instruction may also be a switching instruction for performing fine tuning on a preset sub-parameter in the preset measurement parameter, which is not specifically limited herein and is determined according to different usage scenarios.
And S260, selecting a measurement input parameter based on the preset selection instruction.
The measurement input parameter is a parameter required for measuring the body data. In this embodiment, optionally, the measurement input parameters include, but are not limited to, height, gender, age, and the like. In this embodiment, optionally, the measurement input parameter may be consistent with the preset measurement parameter, or may not be consistent. Specifically, when the measurement input parameter is consistent with the preset measurement parameter, the target user is selected from the preset users through the preset selection instruction, and the corresponding preset measurement parameter is the measurement input parameter. When the measurement input parameter is inconsistent with the preset measurement parameter, for example, the age of the user may increase with the lapse of time, after the preset measurement parameter is determined, the preset sub-parameter in the preset measurement parameter may be continuously fine-tuned by the preset selection instruction, so as to determine the measurement input parameter.
When there are multiple measurement input parameters, the above steps are repeated until all measurement input parameters are selected
And S270, analyzing the body data of the human body according to the measurement input parameters.
The physical data refers to health data related to a human body. In this embodiment, the physical data includes, but is not limited to, heart rate, blood pressure, blood sugar, blood oxygen, body weight, body temperature, fat, trace elements, and the like, which is not limited herein. In this step, analyzing the body data of the human body means performing a comprehensive analysis by measuring the input parameters and the reference data obtained by measuring on the intelligent electronic scale, thereby obtaining the body data of the human body. Illustratively, the user selects a measurement input parameter (such as age, height, sex and the like) through the inclination of the gravity center, the intelligent electronic scale measures reference data (such as the complete weight, the biological impedance and the like) of the user standing on the intelligent electronic scale, and the measurement input parameter and the reference data are combined for analysis, so that the physical data of the user are obtained.
According to the technical scheme of the embodiment of the invention, the weight parameters of the human body on the intelligent electronic scale are obtained, wherein the weight parameters comprise a first weight of a first preset area and a second weight of a second preset area; calculating the magnitude relationship between the first weight and the second weight; matching a corresponding preset selection instruction according to the size relation; selecting a measurement input parameter based on the preset selection instruction; the body data of the human body are analyzed according to the measurement input parameters, when a user uses the electronic scale to measure the body data, the size relation between the first weight and the second weight is changed only through the inclination of the gravity center of the user, so that the measurement input parameters are selected, the operation can be realized without keys, and the technical effect of improving the operation convenience in parameter selection is achieved. In addition, the electronic scale does not need to be provided with keys, and the manufacturing cost of the electronic scale is reduced. Before the measurement input parameters are selected, the corresponding user is matched through the characteristic feature parameters of the human body, so that the preset measurement parameters corresponding to the user are obtained, and the use convenience is greatly enhanced.
EXAMPLE III
Fig. 4 is a schematic structural diagram of an apparatus for analyzing body data of a human body according to a third embodiment of the present invention, where this embodiment is applicable to a scenario in which body data of a human body is measured, and the apparatus may be implemented in a software and/or hardware manner and may be integrated on a server.
As shown in fig. 4, the apparatus for analyzing body data of a human body provided by the present embodiment may include an obtaining module 310, a calculating module 320, a matching module 330, a selecting module 340, and a measurement analyzing module 350, wherein:
an obtaining module 310, configured to obtain a weight parameter of a human body on the intelligent electronic scale, where the weight parameter includes a first weight of a first preset area and a second weight of a second preset area;
a calculating module 320, configured to calculate a magnitude relationship between the first weight and the second weight;
the matching module 330 is configured to match a corresponding preset selection instruction according to the size relationship;
a selection module 340, configured to select a measurement input parameter based on the preset selection instruction;
a measurement analysis module 350 for analyzing the body data of the human body according to the measurement input parameters.
Optionally, the matching module 330 includes:
the first matching unit is used for matching a first preset selection instruction if the first weight is larger than the second weight and the difference value of the first weight and the second weight is larger than a first preset threshold value;
the second matching unit is used for matching a second preset selection instruction if the second weight is larger than the first weight and the difference value between the second weight and the first weight is larger than a second preset threshold value;
and the third matching unit is used for matching a third preset selection instruction if the difference value of the first weight and the second weight is within a preset interval.
Optionally, the apparatus further comprises:
the judging module is used for judging whether the duration time of the size relationship is greater than a time threshold value or not;
the selection module 340 is specifically configured to select a measurement input parameter based on the preset selection instruction if the duration is greater than the time threshold.
Optionally, the time threshold includes a first time threshold and a second time threshold, and the selecting module 340 includes:
a first selection unit for selecting a measurement input parameter at a first speed based on the preset selection instruction if the duration is greater than the first time threshold;
a second selection unit for selecting a measurement input parameter at a second speed based on the preset selection instruction if the duration is greater than the second time threshold.
Optionally, the apparatus further comprises:
the user corresponding module is used for acquiring the characteristic parameters of the human body and matching preset users according to the characteristic parameters;
and acquiring corresponding preset measurement parameters according to the preset user.
Optionally, the measurement input parameters include height, gender, and age.
Optionally, the physical data includes heart rate, blood pressure, blood sugar, blood oxygen, body weight, body temperature, fat, trace elements.
The device for analyzing the body data of the human body provided by the embodiment of the invention can execute the method for analyzing the body data of the human body provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method. Reference may be made to the description of any method embodiment of the invention not specifically described in this embodiment.
Example four
Fig. 5 is a schematic structural diagram of a server according to a fourth embodiment of the present invention. FIG. 5 illustrates a block diagram of an exemplary server 612 suitable for use in implementing embodiments of the invention. The server 612 shown in fig. 5 is only an example, and should not bring any limitation to the function and the scope of the use of the embodiments of the present invention.
As shown in fig. 5, the server 612 is in the form of a general-purpose server. The components of server 612 may include, but are not limited to: one or more processors 616, a memory device 628, and a bus 618 that couples the various system components including the memory device 628 and the processors 616.
The server 612 typically includes a variety of computer system readable media. Such media can be any available media that is accessible by server 612 and includes both volatile and nonvolatile media, removable and non-removable media.
A program/utility 640 having a set (at least one) of program modules 642 may be stored, for example, in storage 628, such program modules 642 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. The program modules 642 generally perform the functions and/or methods of the described embodiments of the present invention.
The server 612 may also communicate with one or more external devices 614 (e.g., keyboard, pointing terminal, display 624, etc.), with one or more terminals that enable a user to interact with the server 612, and/or with any terminals (e.g., network card, modem, etc.) that enable the server 612 to communicate with one or more other computing terminals. Such communication may occur via input/output (I/O) interfaces 622. Further, server 612 may also communicate with one or more networks (e.g., a Local Area Network (LAN), Wide Area Network (WAN), and/or a public Network, such as the internet) via Network adapter 620. As shown in FIG. 5, the network adapter 620 communicates with the other modules of the server 612 via the bus 618. It should be appreciated that although not shown, other hardware and/or software modules may be used in conjunction with the server 612, including but not limited to: microcode, end drives, Redundant processors, external disk drive Arrays, RAID (Redundant Arrays of Independent Disks) systems, tape drives, and data backup storage systems, among others.
The processor 616 executes various functional applications and data processing by executing programs stored in the storage device 628, for example, implementing a method for analyzing body data of a human body provided by any embodiment of the present invention, which may include:
acquiring weight parameters of a human body on the intelligent electronic scale, wherein the weight parameters comprise a first weight of a first preset area and a second weight of a second preset area;
calculating the magnitude relationship between the first weight and the second weight;
matching a corresponding preset selection instruction according to the size relation;
selecting a measurement input parameter based on the preset selection instruction;
analyzing the body data of the human body according to the measurement input parameters.
According to the technical scheme of the embodiment of the invention, the weight parameters of the human body on the intelligent electronic scale are obtained, wherein the weight parameters comprise a first weight of a first preset area and a second weight of a second preset area; calculating the magnitude relationship between the first weight and the second weight; matching a corresponding preset selection instruction according to the size relation; selecting a measurement input parameter based on the preset selection instruction; the body data of the human body are analyzed according to the measurement input parameters, when a user uses the electronic scale to measure the body data, the size relation between the first weight and the second weight is changed only through the inclination of the gravity center of the user, so that the measurement input parameters are selected, the operation can be realized without keys, and the technical effect of improving the operation convenience in parameter selection is achieved. In addition, the electronic scale does not need to be provided with keys, and the manufacturing cost of the electronic scale is reduced.
EXAMPLE five
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a method for analyzing body data of a human body according to any embodiment of the present invention, and the method may include:
acquiring weight parameters of a human body on the intelligent electronic scale, wherein the weight parameters comprise a first weight of a first preset area and a second weight of a second preset area;
calculating the magnitude relationship between the first weight and the second weight;
matching a corresponding preset selection instruction according to the size relation;
selecting a measurement input parameter based on the preset selection instruction;
analyzing the body data of the human body according to the measurement input parameters.
The computer-readable storage media of embodiments of the invention may take any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or terminal. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
According to the technical scheme of the embodiment of the invention, the weight parameters of the human body on the intelligent electronic scale are obtained, wherein the weight parameters comprise a first weight of a first preset area and a second weight of a second preset area; calculating the magnitude relationship between the first weight and the second weight; matching a corresponding preset selection instruction according to the size relation; selecting a measurement input parameter based on the preset selection instruction; the body data of the human body are analyzed according to the measurement input parameters, when a user uses the electronic scale to measure the body data, the size relation between the first weight and the second weight is changed only through the inclination of the gravity center of the user, so that the measurement input parameters are selected, the operation can be realized without keys, and the technical effect of improving the operation convenience in parameter selection is achieved. In addition, the electronic scale does not need to be provided with keys, and the manufacturing cost of the electronic scale is reduced.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (9)
1. A method for analyzing body data of a human body, which is applied to an intelligent electronic scale, the method comprising:
acquiring weight parameters of a human body on the intelligent electronic scale, wherein the weight parameters comprise a first weight of a first preset area and a second weight of a second preset area;
calculating the magnitude relationship between the first weight and the second weight;
matching corresponding preset selection instructions according to the size relationship, wherein the preset selection instructions comprise one or more of a measurement input parameter down-switching instruction, a measurement input parameter up-switching instruction, a confirmation instruction and a measurement input parameter type switching instruction;
selecting a measurement input parameter based on the preset selection instruction, wherein the measurement input parameter comprises one or more of height, gender and age;
analyzing the body data of the human body according to the measurement input parameters.
2. The method for analyzing body data of a human body according to claim 1, wherein the matching of the corresponding preset selection instructions according to the size relationship comprises:
if the first weight is larger than the second weight and the difference value between the first weight and the second weight is larger than a first preset threshold value, matching a first preset selection instruction;
if the second weight is larger than the first weight and the difference value between the second weight and the first weight is larger than a second preset threshold value, matching a second preset selection instruction;
and if the difference value of the first weight and the second weight is within a preset interval, matching a third preset selection instruction.
3. The method of analyzing body data of a human being according to claim 1, further comprising, before said selecting a measurement input parameter based on said preset selection instruction:
judging whether the duration time of the size relationship is greater than a time threshold value;
selecting a measurement input parameter based on the preset selection instruction if the duration is greater than the time threshold.
4. A method of analyzing body data of a human being according to claim 3, wherein said time threshold comprises a first time threshold and a second time threshold, and said selecting a measurement input parameter based on said preset selection instruction if said duration is greater than said time threshold comprises:
selecting a measurement input parameter at a first speed based on the preset selection instruction if the duration is greater than the first time threshold;
selecting a measurement input parameter at a second speed based on the preset selection instruction if the duration is greater than the second time threshold.
5. The method of analyzing body data of a human body according to claim 1, wherein before said obtaining weight parameters of the human body on said intelligent electronic scale, comprising:
acquiring characteristic parameters of a human body, and matching preset users according to the characteristic parameters;
and acquiring corresponding preset measurement parameters according to the preset user.
6. Method of analyzing body data of a human being according to any of the claims 1-5, wherein the body data comprises one or more of heart rate, blood pressure, blood glucose, blood oxygen, body weight, body temperature, fat, trace elements.
7. An apparatus for analyzing body data of a human body, applied to an intelligent electronic scale, the apparatus comprising:
the acquiring module is used for acquiring weight parameters of a human body on the intelligent electronic scale, wherein the weight parameters comprise a first weight of a first preset area and a second weight of a second preset area;
the calculating module is used for calculating the magnitude relation between the first weight and the second weight;
the matching module is used for matching corresponding preset selection instructions according to the size relationship, wherein the preset selection instructions comprise one or more of a measurement input parameter downward switching instruction, a measurement input parameter upward switching instruction, a confirmation instruction and a measurement input parameter type switching instruction;
the selection module is used for selecting measurement input parameters based on the preset selection instruction, wherein the measurement input parameters comprise one or more of height, sex and age;
and the measurement analysis module is used for analyzing the body data of the human body according to the measurement input parameters.
8. A server, comprising:
one or more processors;
storage means for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of analyzing body data of a human being of any of claims 1-6.
9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method of analyzing body data of a human being according to any one of claims 1 to 6.
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