CN113080927A - Method, device, measuring equipment and storage medium for measuring body fat weight - Google Patents
Method, device, measuring equipment and storage medium for measuring body fat weight Download PDFInfo
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Abstract
The disclosure discloses a method, a device, measuring equipment and a storage medium for measuring body fat weight, relates to the technical field of artificial intelligence, and particularly relates to a voice technology and a weighing technology. The specific implementation scheme is as follows: receiving a voice awakening instruction sent by a tested user; responding to the voice awakening instruction to acquire weight data or body fat data of the detected user; and broadcasting the weight data or the body fat data of the tested user to the tested user. The embodiment of the application can realize that the weight measurement or the body fat measurement can be finished through voice interaction so as to meet the use requirements of special crowds.
Description
Technical Field
The disclosure relates to the technical field of artificial intelligence, and further relates to a voice technology and a weighing technology, in particular to a method, a device, measuring equipment and a storage medium for measuring body fat weight.
Background
With the continuous development of economic level, the living standard of people is gradually improved, people also pay more and more attention to their health conditions, and users hope to be able to regularly acquire their own weight data and body fat data. With the continuous development of weighing technology, a weighing scale capable of measuring the weight of a user only is developed to a body fat scale capable of measuring the weight and the body fat simultaneously, so that health detection data are provided for the user, and the user can know the self state conveniently.
Body fat scales sold on the market today generally comprise: an intelligent body fat scale and a non-intelligent body fat scale; for the non-intelligent body fat scale, only a simple weighing function and a body fat calculating function can be provided, and a voice interaction function cannot be provided, namely, the fact that the body weight measurement or the body fat measurement is finished through voice interaction cannot be realized; for the intelligent body fat scale, the voice interaction function can not be provided so as to meet the use requirements of special people.
Disclosure of Invention
The present disclosure provides a method, an apparatus, a measuring device and a storage medium for measuring body fat weight.
In a first aspect, the present application provides a method of measuring body fat mass, for use in a measurement device, the method comprising:
receiving a voice awakening instruction sent by a tested user;
responding to the voice awakening instruction to acquire weight data or body fat data of the detected user;
and broadcasting the weight data or the body fat data of the tested user to the tested user.
In a second aspect, the present application provides a device for measuring body fat mass, the device comprising: the voice broadcasting system comprises an instruction receiving module, a data acquiring module and a voice broadcasting module; wherein,
the instruction receiving module is used for receiving a voice awakening instruction sent by a tested user;
the data acquisition module is used for responding to the voice awakening instruction to acquire weight data or body fat data of the detected user;
and the voice broadcasting module is used for broadcasting the weight data or the body fat data of the tested user to the tested user.
In a third aspect, an embodiment of the present application provides a measurement apparatus, including:
one or more processors;
a memory 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 measuring body fat mass as described in any embodiment herein.
In a fourth aspect, embodiments of the present application provide a storage medium having a computer program stored thereon, where the computer program is executed by a processor to implement the method for measuring body fat mass according to any of the embodiments of the present application.
In a fifth aspect, there is provided a computer program product for, when executed by a computer device, implementing a method of measuring body fat mass according to any embodiment of the present application.
According to the technical scheme provided by the application, the technical problem that the body fat scale in the prior art cannot achieve the weight measurement or the body fat measurement through voice interaction is solved, and the technical scheme provided by the application can achieve the weight measurement or the body fat measurement through voice interaction so as to meet the use requirements of special crowds.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.
Drawings
The drawings are included to provide a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:
FIG. 1 is a schematic flow chart of a method for measuring body fat mass according to an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of a second process for measuring body fat mass according to an embodiment of the present disclosure;
FIG. 3 is a third schematic flow chart of a method for measuring body fat mass according to an embodiment of the present disclosure;
FIG. 4 is a schematic diagram of a process for measuring the weight of an infant according to an embodiment of the present application;
FIG. 5 is a schematic diagram of a process for measuring the weight of a pregnant woman according to an embodiment of the present application;
fig. 6 is a schematic flowchart of a process for measuring the body weight of an elderly patient;
FIG. 7 is a schematic structural diagram of an apparatus for measuring body fat mass according to an embodiment of the present disclosure;
fig. 8 is a block diagram of a measuring apparatus for implementing the method of measuring body fat mass according to the embodiment of the present application.
Detailed Description
Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, in which various details of the embodiments of the disclosure are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Example one
Fig. 1 is a schematic flow chart of a method for measuring body fat mass according to an embodiment of the present application, which may be performed by an apparatus or a measuring device for measuring body fat mass, where the apparatus or the measuring device may be implemented by software and/or hardware, and the apparatus or the measuring device may be integrated in any intelligent device with a network communication function. As shown in fig. 1, the method for measuring body fat mass may include the steps of:
s101, receiving a voice awakening instruction sent by a tested user.
In this step, the measurement device may receive a voice wake-up instruction sent by the user to be measured; the voice wake-up instruction includes but is not limited to one of the following: the infant awakening instruction, the vision disorder awakening instruction and the sick user awakening instruction. Specifically, the measuring device may include: a measurement unit and a voice unit; wherein, the measuring unit can be an intelligent body fat scale; the voice unit may be a smart speaker. In this step, the measurement device may receive a voice wake-up instruction sent by the user to be measured through the voice unit. The technical scheme provided by the embodiment of the application can be applied to different measurement scenes to measure the weight or the body fat of users of different groups. Specifically, the infant user wake-up instruction in the embodiment of the present application is used for measuring the weight or body fat of an infant or a young child; the visual disorder user awakening instruction in the embodiment of the application is used for measuring the weight or the body fat of the visual disorder user, and can also be used for measuring the weight or the body fat of the user who is inconvenient to bow and bend head, such as a pregnant woman; the sick user awakening instruction in the embodiment of the application is used for measuring the weight or the body fat of the old suffering from diabetes, uremia and the like.
And S102, responding to the voice awakening instruction to acquire the weight data or the body fat data of the detected user.
In this step, the measuring device may obtain weight data or body fat data of the measured user in response to the voice wake-up instruction. Further, the measuring device can obtain the weight data or the body fat data of the measured user through the measuring unit in response to the voice wake-up instruction. Specifically, the smart sound box may receive a voice wake-up instruction sent by the user to be tested first; then the intelligent sound box replies confirmation to the tested user to prompt the user to start weighing; after the measured user is weighed, the intelligent body fat scale can acquire the weight data or body fat data of the measured user.
And S103, broadcasting the weight data or the body fat data of the detected user to the detected user.
In this step, the measuring device may broadcast the weight data or the body fat data of the user to be measured to the user to be measured. Further, the measuring device can broadcast the weight data or the body fat data of the measured user to the measured user through the voice unit. Specifically, the intelligent body fat scale can report the acquired weight data or body fat data to the intelligent sound box; and then the intelligent sound box broadcasts the weight data or the body fat data of the tested user to the tested user.
The method for measuring the body fat weight provided by the embodiment of the application comprises the steps of firstly receiving a voice awakening instruction sent by a user to be measured; then responding to the voice awakening instruction to obtain weight data or body fat data of the tested user; and broadcasting the weight data or the body fat data of the tested user to the tested user. That is to say, in the technical solution provided in the present application, a user can perform voice interaction with a measurement device, thereby completing a weight measurement or a body fat measurement. Compared with the existing body fat scale, the voice interaction function aiming at special groups is added, and the use requirements of various different groups are met. However, in the existing body fat scales, no matter the intelligent body fat scale or the non-intelligent body fat scale can not provide the voice interaction function, that is, the weight measurement or the body fat measurement cannot be completed through voice interaction. Because the technical means of receiving the voice awakening instruction, acquiring the weight data or the body fat data and broadcasting the weight data or the body fat data are adopted, the technical problem that the body fat scale in the prior art cannot complete the body weight measurement or the body fat measurement through voice interaction is solved, and the technical scheme provided by the application can complete the body weight measurement or the body fat measurement through voice interaction so as to meet the use requirements of special people; moreover, the technical scheme of the embodiment of the application is simple and convenient to implement, convenient to popularize and wide in application range.
Example two
Fig. 2 is a second schematic flow chart of a method for measuring body fat mass according to an embodiment of the present application. Further optimization and expansion are performed based on the technical scheme, and the method can be combined with the various optional embodiments. As shown in fig. 2, the method of measuring body fat mass may include the steps of:
s201, receiving a voice awakening instruction sent by a tested user through a voice unit.
S202, if the voice awakening instruction is an infant user awakening instruction, acquiring weight data or body fat data of the detected user and the assisting user and the weight data or body fat data of the assisting user through the measuring unit.
In this step, if the voice wake-up instruction is a wake-up instruction for an infant user, the measurement device may obtain weight data or body fat data of the detected user and the assisting user, and the weight data or body fat data of the assisting user through the measurement unit. Specifically, at the time of the first measurement, the weight data or the body fat data of a user to be measured (an infant or a young child) and an assistant user (an adult) are obtained through an intelligent body fat scale; and acquiring weight data or body fat data for assisting the user through the intelligent body fat scale during the second measurement. The specific measurement process is as follows: the intelligent sound box receives an infant user awakening instruction sent by an adult; then the intelligent sound box replies confirmation to adults to prompt the user to start weighing; after an adult and an infant (or, an adult and an infant) are weighed together, the smart body fat scale may acquire body weight data or body fat data of the adult and the infant (or, the adult and the infant); then reporting the obtained weight data or body fat data to the intelligent sound box; after the intelligent sound box acquires the weight data or the body fat data of adults and infants (or adults and infants), prompting the adults to call up individually; after an adult is weighed individually, the intelligent body fat weighing machine can acquire body weight data or body fat data of the adult.
And S203, calculating the weight data or the body fat data of the tested user through a voice unit based on the weight data or the body fat data of the tested user and the assisting user and the weight data or the body fat data of the assisting user.
In this step, the measuring device calculates the weight data or the body fat data of the user to be measured based on the weight data or the body fat data of the user to be measured and the assisting user, and the weight data or the body fat data of the assisting user by the voice unit. Specifically, after acquiring the weight data or the body fat data of the detected user and the assisting user, and the weight data or the body fat data of the assisting user, the smart sound box may obtain the weight data or the body fat data of the infant or the young child based on a preset operation rule.
And S204, broadcasting the weight data or the body fat data of the user to be tested to the user to be tested through the voice unit.
In this step, the measuring device may broadcast the weight data or the body fat data of the user to be measured to the user to be measured through the voice unit. Specifically, after calculating the weight data or the body fat data of the infant or the young child, the smart sound box may broadcast the weight data or the body fat data of the infant or the young child.
The method for measuring the body fat weight provided by the embodiment of the application comprises the steps of firstly receiving a voice awakening instruction sent by a user to be measured; then responding to the voice awakening instruction to obtain weight data or body fat data of the tested user; and broadcasting the weight data or the body fat data of the tested user to the tested user. That is to say, in the technical solution provided in the present application, a user can perform voice interaction with a measurement device, thereby completing a weight measurement or a body fat measurement. Compared with the existing body fat scale, the voice interaction function aiming at special groups is added, and the use requirements of various different groups are met. However, in the existing body fat scales, no matter the intelligent body fat scale or the non-intelligent body fat scale can not provide the voice interaction function, that is, the weight measurement or the body fat measurement cannot be completed through voice interaction. Because the technical means of receiving the voice awakening instruction, acquiring the weight data or the body fat data and broadcasting the weight data or the body fat data are adopted, the technical problem that the body fat scale in the prior art cannot complete the body weight measurement or the body fat measurement through voice interaction is solved, and the technical scheme provided by the application can complete the body weight measurement or the body fat measurement through voice interaction so as to meet the use requirements of special people; moreover, the technical scheme of the embodiment of the application is simple and convenient to implement, convenient to popularize and wide in application range.
EXAMPLE III
Fig. 3 is a second schematic flow chart of a method for measuring body fat mass according to an embodiment of the present application. Further optimization and expansion are performed based on the technical scheme, and the method can be combined with the various optional embodiments. As shown in fig. 3, the method of measuring body fat mass may include the steps of:
s301, receiving a reminding setting instruction sent by a tested user through a voice unit; and the reminding setting instruction at least comprises a measuring time interval corresponding to the measured user.
In this step, the measuring device may receive a prompt setting instruction sent by the user to be measured through the voice unit; and the reminding setting instruction at least comprises a measuring time interval corresponding to the measured user. Specifically, the measurement time period corresponding to the measured user may be a specific time point, or may be a predetermined time period; for example, eight morning hours per monday reminds the user to measure weight or body fat.
S302, in response to a reminding setting instruction, a reminding voice is broadcasted to a user through a voice unit in a measuring time interval corresponding to a tested user; the prompt voice is used for reminding the tested user to carry out weight measurement or body fat measurement in the measurement period.
In this step, the measuring device may respond to the prompt setting instruction and broadcast a prompt voice to the user through the voice unit within the measurement period corresponding to the measured user; the prompt voice is used for reminding the tested user to carry out weight measurement or body fat measurement in the measurement period. Specifically, if the measured user sets eight morning hours per monday to remind the user to measure the weight or the body fat, the intelligent sound box broadcasts a prompt voice to the user at eight morning hours per monday; the prompt voice is used for reminding the user to measure the weight or the body fat in the measuring time period.
And S303, receiving a voice awakening instruction sent by the tested user through a voice unit.
And S304, acquiring the weight data or the body fat data of the tested user through the measuring unit in response to the voice awakening instruction.
S305, broadcasting the weight data or the body fat data of the user to be tested to the user to be tested through a voice unit.
S306, extracting historical data corresponding to the tested user from the pre-stored historical data; and recording the weight data or the body fat data of the tested user into the corresponding historical data of the tested user through the voice unit.
Preferably, in a specific embodiment of the present application, the measuring device may further extract historical data corresponding to the measured user from pre-stored historical data; and recording the weight data or the body fat data of the tested user into the corresponding historical data of the tested user through the intelligent sound box.
Preferably, in an embodiment of the present application, if it is detected by the voice unit that the detected user does not send a voice wake-up instruction to the voice unit within the predetermined time period, the measurement device may further broadcast a prompt voice to the user through the voice unit; the prompt voice is used for reminding the tested user to carry out weight measurement or body fat measurement.
Preferably, in an embodiment of the present application, if the voice wake-up instruction is a wake-up instruction of a sick user, the measuring device may generate a healthy diet specification corresponding to the measured user based on historical data corresponding to the measured user and a predetermined disease type of the measured user; and the health diet specification corresponding to the tested user is broadcasted to the tested user through the voice unit.
Preferably, in an embodiment of the present application, the measurement device may further report the weight data or the body fat data of the detected user to the cloud device, so that the cloud device synchronously stores the weight data or the body fat data of the detected user.
The technical solution provided by the present application can be applied to various measurement scenarios, including but not limited to: the following three scenes are respectively explained in detail in an infant weight measurement scene, a pregnant woman weight measurement scene and an ill-aged person weight measurement scene:
in the process of measuring the weight of the baby, because the baby cannot stand on the intelligent body fat scale independently, the calculation and the recording of the weight of the baby can be completed only by weighing the weight twice, and the specific measurement process is as follows: firstly, measuring the total body weight of an adult and an infant once when the adult holds the infant; then measuring the weight of the adult once separately; and subtracting the two weights to obtain the weight of the infant. The measuring equipment that this application embodiment provided can accomplish the measurement of baby's weight based on voice interaction, and the user only need shout once weigh twice and just can accomplish the measurement and the record of baby's weight. Fig. 4 is a schematic flow chart of measuring the weight of an infant according to an embodiment of the present application. As shown in fig. 4, the measuring device can acquire the weight data of the user at two times of measurement through the intelligent body fat scale. When the user first calls, the weight data of the infant or the adult can be obtained through intelligent body fat weighing; when the user scales for the second time, the weight data of the adult can be obtained through the intelligent body fat scale. Specifically, the intelligent sound box receives an infant user awakening instruction sent by an adult, awakens the intelligent sound box and weighs an infant; then the intelligent sound box replies confirmation to adults to prompt the user to start weighing; after the adult and the infant are weighed together, the intelligent body fat scale can acquire weight data of the adult and the infant; and then the intelligent body fat scale reports the obtained weight data to the intelligent sound box. After the intelligent sound box obtains the weight data of the adults and the infants, the user is prompted to call up for the second time, and after the adults call up separately, the intelligent body fat scale can obtain the weight data of the adults; and then reporting the acquired weight data to the intelligent sound box. Based on the weight data of the infant and the adult and the weight data of the adult, the intelligent sound box can calculate the weight data of the infant; the baby weight is reported to the adult and recorded under the baby account.
In the process of measuring the weight of a pregnant woman, the pregnant woman is inconvenient to lower the head and bend the waist, and the weight measurement or the body fat measurement can be completed only by the assistance of others. For example, during pregnancy, the pregnant woman needs to record the weight once a week before breakfast, but after weighing the weight, the pregnant woman is very inconvenient to look at the weighed data by bending down and bending over. The measuring equipment provided by the embodiment of the application can finish the measurement and recording of the weight of the pregnant woman based on voice interaction. Fig. 5 is a schematic flow chart of measuring the weight of a pregnant woman according to an embodiment of the present disclosure. As shown in fig. 5, assuming that the pregnant woman sets eight morning hours per week to remind the user to measure the weight, the pregnant woman may set a pregnant woman-specific reminder, eight morning hours per week to weigh the weight; then the intelligent sound box replies the pregnant woman that the setting is successful; the intelligent sound box reminds the pregnant woman to weigh at eight morning points every monday, and the pregnant woman wakes up the intelligent sound box to start weighing after receiving the reminder; the intelligent sound box replies confirmation, and the pregnant woman begins weighing; weighing a pregnant woman, and acquiring weight data of the pregnant woman by an intelligent body fat scale; reporting the obtained weight data to the intelligent sound box; and broadcasting the weight of the pregnant woman to the pregnant woman and recording the weight of the pregnant woman under the account of the pregnant woman.
In the process of measuring the weight of the sick old, the standard diet is an important measure for managing and controlling diseases, so the timely reminding of the sick user of the standard diet is very important. On one hand, the measuring equipment provided by the embodiment of the application can remind the old people of reasonable diet on the basis of historical data through an App; on the other hand, historical data can be conveniently derived, and doctors can conveniently analyze the disease condition. Fig. 6 is a schematic flowchart of a process for measuring the body weight of an elderly patient according to an embodiment of the present application. As shown in fig. 6, the sick elderly arouse the smart speaker to start weighing; the intelligent sound box replies confirmation to the sick old, and the sick old can weigh the weight; the sick old begins to be weighed; the intelligent body fat scale acquires weight data of the sick old; reporting the obtained weight of the old to an intelligent sound box; the intelligent sound box broadcasts the weight of the old and records the weight of the old under an account of the old. If the intelligent sound box finds that the sick old people are not weighed for a long time, the intelligent sound box reminds the old people to measure the weight through voice broadcasting; according to the historical data and the illness state of the old people, a healthy diet standard is provided.
The method for measuring the body fat weight provided by the embodiment of the application comprises the steps of firstly receiving a voice awakening instruction sent by a user to be measured; then responding to the voice awakening instruction to obtain weight data or body fat data of the tested user; and broadcasting the weight data or the body fat data of the tested user to the tested user. That is to say, in the technical solution provided in the present application, a user can perform voice interaction with a measurement device, thereby completing a weight measurement or a body fat measurement. Compared with the existing body fat scale, the voice interaction function aiming at special groups is added, and the use requirements of various different groups are met. However, in the existing body fat scales, no matter the intelligent body fat scale or the non-intelligent body fat scale can not provide the voice interaction function, that is, the weight measurement or the body fat measurement cannot be completed through voice interaction. Because the technical means of receiving the voice awakening instruction, acquiring the weight data or the body fat data and broadcasting the weight data or the body fat data are adopted, the technical problem that the body fat scale in the prior art cannot complete the body weight measurement or the body fat measurement through voice interaction is solved, and the technical scheme provided by the application can complete the body weight measurement or the body fat measurement through voice interaction so as to meet the use requirements of special people; moreover, the technical scheme of the embodiment of the application is simple and convenient to implement, convenient to popularize and wide in application range.
Example four
Fig. 7 is a schematic structural diagram of an apparatus for measuring body fat mass according to an embodiment of the present application. As shown in fig. 7, the apparatus 700 includes: the system comprises an instruction receiving module 701, a data acquisition module 702 and a voice broadcasting module 703; wherein,
the instruction receiving module 701 is configured to receive a voice wake-up instruction sent by a user to be tested;
the data acquisition module 702 is configured to acquire weight data or body fat data of a user to be tested in response to the voice wake-up instruction;
the voice broadcasting module 703 is configured to broadcast the weight data or the body fat data of the user to be tested to the user to be tested.
Further, the instruction receiving module 701 is further configured to receive, through a voice unit, a prompt setting instruction sent by the user to be tested; the reminding setting instruction at least comprises a measuring time interval corresponding to the measured user; the voice wake-up instruction includes but is not limited to one of the following: the infant awakening method comprises the following steps of (1) awakening instructions of infant users, users with visual impairment and users with diseases; responding to the reminding setting instruction, and broadcasting a reminding voice to the user through the voice unit in the measurement time interval corresponding to the tested user; the prompt voice is used for reminding the tested user to carry out weight measurement or body fat measurement in the measurement time period.
Further, the data obtaining module 702 is specifically configured to, if the voice wake-up instruction is the infant user wake-up instruction, obtain, by a measuring unit, weight data or body fat data of the detected user and the assisting user, and the weight data or body fat data of the assisting user; and calculating the weight data or the body fat data of the tested user and the assisted user through the voice unit based on the weight data or the body fat data of the tested user and the assisted user and the weight data or the body fat data of the assisted user.
Further, the apparatus further comprises: a data storage module 704 (not shown in the figure) for extracting historical data corresponding to the tested user from pre-stored historical data; and recording the weight data or the body fat data of the tested user into the corresponding historical data of the tested user through the voice unit.
Further, the voice broadcasting module 703 is further configured to broadcast a prompt voice to the user through the voice unit if it is detected that the detected user does not send the voice wake-up instruction to the voice unit within the predetermined time period through the voice unit; the prompt voice is used for reminding the tested user to carry out weight measurement or body fat measurement.
Further, the voice broadcasting module 703 is further configured to generate a healthy diet specification corresponding to the detected user based on the historical data corresponding to the detected user and a predetermined disease type of the detected user if the voice wake-up instruction is the wake-up instruction of the sick user; and broadcasting the health diet specification corresponding to the tested user through the voice unit.
Further, the data obtaining module 702 is further configured to report the weight data or the body fat data of the detected user to a cloud device, so that the cloud device synchronously stores the weight data or the body fat data of the detected user.
The device for measuring body fat weight can execute the method provided by any embodiment of the application, and has corresponding functional modules and beneficial effects of the execution method. For technical details not described in detail in this example, reference may be made to the method for measuring body fat mass provided in any of the examples of the present application.
EXAMPLE five
The present disclosure also provides a measuring device, a readable storage medium, and a computer program product according to embodiments of the present disclosure.
FIG. 8 shows a schematic block diagram of an example measurement device 800 that can be used to implement embodiments of the present disclosure. The measuring device is intended to mean various forms of devices for measuring body fat and body weight. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 8, the apparatus 800 includes a computing unit 801 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM)802 or a computer program loaded from a storage unit 808 into a Random Access Memory (RAM) 803. In the RAM 803, various programs and data required for the operation of the device 800 can also be stored. The calculation unit 801, the ROM 802, and the RAM 803 are connected to each other by a bus 804. An input/output (I/O) interface 805 is also connected to bus 804.
A number of components in the device 800 are connected to the I/O interface 805, including: an input unit 806; an output unit 807 such as various types of displays, speakers, and the like; a storage unit 808, such as a magnetic disk, optical disk, or the like; and a communication unit 809 such as a network card, modem, wireless communication transceiver, etc. The communication unit 809 allows the device 800 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a programmable data processing apparatus such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on 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.
To provide for interaction with a user, the systems and techniques described here can be implemented on a measurement device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a sensing device by which a user can provide input to the measurement apparatus. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a measuring device having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), blockchain networks, and the internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective measuring devices and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present disclosure may be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved, and the present disclosure is not limited herein. In the technical scheme of the disclosure, the acquisition, storage, application and the like of the personal information of the related user all accord with the regulations of related laws and regulations, and do not violate the good customs of the public order.
The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the scope of protection of the present disclosure.
Claims (17)
1. A method of measuring body fat mass for use in a measurement device, the method comprising:
receiving a voice awakening instruction sent by a tested user;
responding to the voice awakening instruction to acquire weight data or body fat data of the detected user;
and broadcasting the weight data or the body fat data of the tested user to the tested user.
2. The method of claim 1, wherein the measurement device comprises: before the receiving of the voice wake-up instruction sent by the user to be tested, the method further includes:
receiving a reminding setting instruction sent by the tested user through the voice unit; the reminding setting instruction at least comprises a measuring time interval corresponding to the measured user; the voice wake-up instruction includes but is not limited to one of the following: the infant awakening method comprises the following steps of (1) awakening instructions of infant users, users with visual impairment and users with diseases;
responding to the reminding setting instruction, and broadcasting a reminding voice to the user through the voice unit in the measurement time interval corresponding to the tested user; the prompt voice is used for reminding the tested user to carry out weight measurement or body fat measurement in the measurement time period.
3. The method of claim 2, wherein the obtaining weight data or body fat data of the tested user in response to the voice wake-up instruction comprises:
if the voice awakening instruction is the infant user awakening instruction, acquiring weight data or body fat data of the detected user and the assisting user and the weight data or body fat data of the assisting user through the measuring unit;
and calculating the weight data or the body fat data of the tested user and the assisted user through the voice unit based on the weight data or the body fat data of the tested user and the assisted user and the weight data or the body fat data of the assisted user.
4. The method of claim 2, further comprising:
extracting historical data corresponding to the tested user from pre-stored historical data; and recording the weight data or the body fat data of the tested user into the corresponding historical data of the tested user through the voice unit.
5. The method of claim 4, further comprising:
if the voice unit detects that the tested user does not send the voice awakening instruction to the voice unit within a preset time, a prompt voice is broadcast to the user through the voice unit; the prompt voice is used for reminding the tested user to carry out weight measurement or body fat measurement.
6. The method of claim 4, further comprising:
if the voice awakening instruction is the awakening instruction of the sick user, generating a healthy diet specification corresponding to the tested user based on historical data corresponding to the tested user and a predetermined disease type of the tested user; and broadcasting the health diet specification corresponding to the tested user through the voice unit.
7. The method of claim 1, further comprising:
reporting the weight data or the body fat data of the detected user to cloud equipment, so that the cloud equipment synchronously stores the weight data or the body fat data of the detected user.
8. A device for measuring body fat mass, the device comprising: the voice broadcasting system comprises an instruction receiving module, a data acquiring module and a voice broadcasting module; wherein,
the instruction receiving module is used for receiving a voice awakening instruction sent by a tested user;
the data acquisition module is used for responding to the voice awakening instruction to acquire weight data or body fat data of the detected user;
and the voice broadcasting module is used for broadcasting the weight data or the body fat data of the tested user to the tested user.
9. The device of claim 8, wherein the instruction receiving module is further configured to receive, through a voice unit, a reminder setting instruction sent by the user to be tested; the reminding setting instruction at least comprises a measuring time interval corresponding to the measured user; the voice wake-up instruction includes but is not limited to one of the following: the infant awakening method comprises the following steps of (1) awakening instructions of infant users, users with visual impairment and users with diseases; responding to the reminding setting instruction, and broadcasting a reminding voice to the user through the voice unit in the measurement time interval corresponding to the tested user; the prompt voice is used for reminding the tested user to carry out weight measurement or body fat measurement in the measurement time period.
10. The device according to claim 9, wherein the data obtaining module is specifically configured to, if the voice wake-up instruction is the infant user wake-up instruction, obtain weight data or body fat data of the detected user and the assisting user, and the weight data or body fat data of the assisting user through a measuring unit; and calculating the weight data or the body fat data of the tested user and the assisted user through the voice unit based on the weight data or the body fat data of the tested user and the assisted user and the weight data or the body fat data of the assisted user.
11. The apparatus of claim 9, the apparatus further comprising: the data storage module is used for extracting historical data corresponding to the tested user from pre-stored historical data; and recording the weight data or the body fat data of the tested user into the corresponding historical data of the tested user.
12. The device according to claim 11, wherein the voice broadcasting module is further configured to broadcast a prompt voice to the user through the voice unit if it is detected that the voice wakeup instruction is not sent to the voice unit by the user to be tested within a predetermined time period through the voice unit; the prompt voice is used for reminding the tested user to carry out weight measurement or body fat measurement.
13. The device according to claim 11, wherein the voice broadcasting module is further configured to generate a healthy diet specification corresponding to the detected user based on historical data corresponding to the detected user and a predetermined disease type of the detected user if the voice wake-up instruction is the wake-up instruction of the sick user; and broadcasting the health diet specification corresponding to the tested user through the voice unit.
14. The apparatus according to claim 8, wherein the data acquisition module is further configured to report the weight data or the body fat data of the detected user to a cloud device, so that the cloud device synchronously stores the weight data or the body fat data of the detected user.
15. A measurement device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.
16. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-7.
17. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1-7.
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| WO2018201629A1 (en) * | 2017-05-03 | 2018-11-08 | 华为技术有限公司 | Body fat measurement method and body fat measurement device |
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