WO2020209550A1

WO2020209550A1 - Online obesity management device and method, and computer program stored in computer-readable storage medium to execute same method

Info

Publication number: WO2020209550A1
Application number: PCT/KR2020/004569
Authority: WO
Inventors: 이승화
Original assignee: 사회복지법인 삼성생명공익재단
Priority date: 2019-04-10
Filing date: 2020-04-03
Publication date: 2020-10-15
Also published as: KR102428282B1; KR20200119673A

Abstract

The present specification provides an online obesity management method comprising the steps of: collecting, online, obesity level information of at least one object and a group to which the at least one object belongs; calculating, on the basis of the collected obesity level information, an obesity level change including the change amount of the obesity level of the at least one object included in the group, and whether or not the obesity level increases; comparing the obesity level change of the at least one object with the obesity level change of the group to calculate a similarity level between the obesity level changes through at least one of a direction match and a change amount match; receiving obesity management target information from a terminal of a first object; searching for a group corresponding to the obesity management target information and an object belonging to the group in consideration of an obesity level change amount and a weight change amount included in the obesity management target information; and providing the group and the object belonging to the group to the terminal of the first object.

Description

Online obesity management device, method, and computer program stored in a computer-readable storage medium to execute the method

According to the present specification, an on-line obesity management apparatus, a method, and a computer program stored in a computer-readable storage medium to execute the method are disclosed.

As interest in health increases, various methods of checking health status are being studied.

However, currently commercialized or developed products make users feel cumbersome as the user must wear a separate device (e.g., a smart terminal) or perform an artificial or passive measurement in order to measure or infer health status. do.

Accordingly, there is a need for a technology that enables the user to easily check the health state without performing separate actions for measuring the health state.

Embodiments of the present invention provide an on-line obesity management apparatus and method, and a computer program stored in a computer-readable storage medium for executing the method.

An online obesity management method according to embodiments of the present invention includes the steps of: collecting obesity information of one or more objects online and a group to which the one or more objects belong; Calculating an obesity degree change including an increase in obesity degree and an amount of change in obesity degree of the one or more objects included in the group based on the collected obesity degree information; Comparing the change in obesity of the at least one object with the change in obesity of the group, calculating a degree of similarity between changes in obesity as at least one of a direction match and a change amount match; Receiving obesity management target information from the terminal of the first object; Searching for a group corresponding to the obesity management target information and an object belonging to the group in consideration of an obesity level change amount and a weight change amount included in the obesity management target information; And providing the group and an object belonging to the group to a terminal of the first object.

The collecting step periodically receives weight information, gender information, age information, region information, and occupation information from the terminals of the one or more objects, and provides obesity information based on the weight information, the gender information, and the age information. Can be calculated.

In the calculating of the change in the obesity degree of the object, the obesity degree change, which is a time series change in the obesity degree information, may be calculated for each object by using the obesity degree information of one or more objects belonging to the group.

In the calculating of the change in the obesity degree of the group, the change in the obesity degree of the group may be calculated as an average value of changes in the obesity degree of one or more objects belonging to the group.

The searching may include searching for the group in which the change in the obesity degree of the group corresponds to the difference value using a target weight value included in the obesity management target information and a difference value between the target weight value and the current weight value, and the You can search for objects belonging to a group.

In the online obesity management method according to the embodiments of the present invention, when the obesity degree change of the second object is compared with the obesity degree change of the group included in the second object, the second object It is possible to generate and provide recommended group information to the terminal of.

An online obesity management apparatus according to embodiments of the present invention includes an information collection unit configured to collect one or more objects online and obesity information of a group to which the one or more objects belong; An obesity degree change calculator configured to calculate an obesity degree change including an increase in obesity and an amount of change in obesity of the one or more objects included in the group based on the collected obesity degree information; A similarity calculation unit that compares changes in the obesity level of the one or more objects with changes in the obesity level of the group, and calculates a degree of similarity between changes in the obesity level as at least one of a direction match and a change amount match; A target receiving unit for receiving obesity management target information from a terminal of the first object; An object search unit that searches for a group corresponding to the obesity management target information and an object belonging to the group in consideration of an obesity level change amount and a weight change amount included in the obesity management target information; And an information providing unit providing the group and an object belonging to the group to the terminal of the first object.

The information collection unit periodically receives weight information, gender information, age information, region information, and occupation information from the terminals of the one or more objects, and calculates obesity information based on the weight information, the gender information, and the age information can do.

The obesity degree change calculator may calculate, for each object, an obesity degree change, which is a time series change of the obesity degree information, using obesity degree information of one or more objects belonging to the group.

The obesity change calculator may calculate the change in obesity of the group as an average value of changes in obesity of one or more objects belonging to the group.

The object search unit searches for the group whose obesity degree change corresponds to the difference value by using a target weight value included in the obesity management target information and a difference value between the target weight value and the current weight value, and the group You can search for objects belonging to.

In the online obesity management apparatus according to embodiments of the present invention, when the obesity degree change of the second object is compared with the obesity degree change of the group included in the second object, the second object It is possible to generate and provide recommended group information to the terminal of.

A computer program according to an embodiment of the present invention may be stored in a medium in order to execute any one of the online obesity management methods according to the embodiment of the present invention using a computer.

In addition to this, another method for implementing the present invention, another system, and a computer-readable recording medium for recording a computer program for executing the method are further provided.

Other aspects, features, and advantages other than those described above will become apparent from the following drawings, claims, and detailed description of the invention.

According to embodiments of the present invention, by comparing the change in the obesity degree of an object online with the change in the obesity degree of a group to which the object belongs, similarity of the change in obesity degree between the object and the group may be calculated.

In addition, according to embodiments of the present invention, a service for managing the obesity level of an object may be provided using an online relationship.

1 schematically illustrates an online obesity management system according to an embodiment of the present invention.

2 is a block diagram of an online obesity management apparatus according to embodiments of the present invention. 3 is a block diagram of a storage medium of an online obesity management apparatus.

4 to 7 are flowcharts of a method for managing obesity online according to embodiments of the present invention.

Since the present invention can apply various transformations and can have various embodiments, specific embodiments are illustrated in the drawings and will be described in detail in the detailed description. Effects and features of the present invention, and a method of achieving them will be apparent with reference to the embodiments described later in detail together with the drawings. However, the present invention is not limited to the embodiments disclosed below and may be implemented in various forms.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, and when describing with reference to the drawings, the same or corresponding constituent elements are assigned the same reference numerals, and redundant descriptions thereof will be omitted. .

In the following embodiments, terms such as first and second are not used in a limiting meaning, but for the purpose of distinguishing one component from another component.

In the following examples, the singular expression includes the plural expression unless the context clearly indicates otherwise.

In the following embodiments, terms such as include or have means that the features or components described in the specification are present, and do not preclude the possibility that one or more other features or components are added.

When a certain embodiment can be implemented differently, a specific process order may be performed differently from the described order. For example, two processes described in succession may be performed substantially simultaneously, or may be performed in an order opposite to the described order.

Referring to FIG. 1, an online obesity management system according to an embodiment of the present invention includes an online obesity management apparatus 100,

terminals

200, 201 and 202, and a network 300 connecting them.

An online obesity management system according to an embodiment of the present invention provides a service for managing obesity information of a plurality of objects. Specifically, the online obesity management system provided according to an embodiment reinforces personal relationships with acquaintances such as friends, seniors and juniors, and co-workers on the Internet, builds new personal relationships, and forms wide human relationships, and is a group corresponding to personal connections on the Internet. Can be formed.

The online obesity management apparatus 100 according to an embodiment of the present invention calculates the correlation between the change in the obesity level of the object and the change in the obesity level of the group to which the object belongs, and extracts a group having a correlation of + and an object in the group. I can.

The online obesity management apparatus 100 collects obesity information between an object on-line and an object having an affinity to determine whether there is similarity between the obesity information of the object and the obesity information of the group to which the object belongs, and the object belonging to the group It is possible to extract a group whose obesity information has similar directions. The online obesity management apparatus 100 may manage the obesity level of the object by allowing a predetermined object to have a relationship with the extracted group or an object belonging to the group.

The object may access the online obesity management apparatus 100 using the terminal 200. The object terminal 200 may receive a group recommendation for obesity management through the online obesity management apparatus 100. The object terminal 200 may receive an object for obesity management.

Here, the terminal 200 may be a personal computer of the user or a portable terminal of the user. In FIG. 1, the portable terminal is shown as a smart phone, but the spirit of the present invention is not limited thereto, and a program or social network service for accessing an online social network service provided by an embodiment of the present invention An online obesity management program that calculates the obesity change and correlation of each object based on the obesity change of other objects belonging to the group on the network service may be installed.

Meanwhile, the terminal 200 further includes an output unit for displaying a screen and an input unit for receiving data from a user. The input device may include, for example, a keyboard, a mouse, a trackball, a microphone, a button, and a touch panel, but is not limited thereto.

The network 300 serves to connect the terminal 200 and the online obesity management device 100. For example, the network 300 provides an access path so that the terminal 200 can transmit and receive packet data after accessing the online obesity management apparatus 100.

2 is a block diagram of an online obesity management apparatus 100 according to embodiments of the present invention.

As shown in FIG. 2, the online obesity management apparatus 100 includes a processor 110, a communication unit 120, an input unit 130, and an output unit 140 in order to calculate changes in the obesity level of the object and the group to which the object belongs. , May include a storage medium 150.

One or more processors 110 may be included. The processor 110 typically controls the overall operation of the online obesity management apparatus 100. For example, the processor 110 may generally control the communication unit 120, the input unit 130, and the output unit 140 by executing programs stored in the storage medium 150.

The communication unit 120 may include one or more components that enable communication between the online obesity management apparatus 100 and other external terminals.

The input unit 130 refers to a means for a user to input data for controlling an electronic device. For example, the input unit 130 includes a key pad, a dome switch, and a touch pad (contact capacitive method, pressure resistive film method, infrared sensing method, surface ultrasonic conduction method, integral tension method). Measurement method, piezo effect method, etc.), a jog wheel, a jog switch, and the like, but are not limited thereto.

The output unit 140 outputs information processed by the online obesity management apparatus 100. For example, the output unit 140 may output data to be processed. The output unit 140 may output a user interface provided by executing programs stored in the storage medium 150.

The storage medium 150 may store a program for processing and control of the processor 110 or may store input/output data.

The storage medium 150 is a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (eg, SD or XD memory, etc.), RAM (Random Access Memory) SRAM (Static Random Access Memory), ROM (ROM, Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), PROM (Programmable Read-Only Memory), magnetic memory, magnetic It may include at least one type of storage medium among a disk and an optical disk. In addition, the online obesity management apparatus 100 may operate a web storage or a cloud server that performs a storage function of the storage medium 120 on the Internet.

Programs stored in the storage medium 150 may be classified into a plurality of modules according to their functions.

As shown in FIG. 3, the storage medium 150 includes an information collection unit 151, an obesity level change calculation unit 152, a similarity level calculation unit 153, and a target in order to calculate changes in the obesity level of objects and groups online. A receiving unit 154, an object searching unit 155, and an information providing unit 156 may be included.

The information collection unit 151 collects one or more objects online and obesity information of a group to which the one or more objects belong. The information collection unit 151 may periodically receive weight information, height information, gender information, age information, region information, and job information from terminals of one or more registered objects. The information collection unit 151 receives weight information, gender information, age information, region information, occupation information, and the like using the terminal of each object. The terminal of the object may receive weight information and height information of the object by connecting with a health-related device. Gender information, age information, region information, occupation information, etc. may be input by an object registered in relation to the object, but is not limited thereto, and may be obtained through various records. It can communicate with other external devices to acquire various records. For example, medical records can only be obtained with certain rights. Depending on the user's authority, a part of the contents of the medical record may be obtained in an undisclosed state according to regulations and regulations.

The information collection unit 151 may calculate obesity information based on weight information, gender information, and age information of each object. The information collection unit 151 may calculate obesity level information by combining weight information and height information, and adjust the obesity level information using sex information and age information.

The obesity degree change calculator 152 may calculate the obesity degree change of one or more objects included in the group based on the collected obesity degree information. The obesity change calculation unit 152 may calculate the change in the obesity degree of the group by collecting changes in the obesity degree of each object included in the group.

The similarity calculation unit 153 may calculate a similarity between the change in the obesity degree of the object and the change in the obesity degree of the group including the object. The change in obesity degree may be determined based on a difference value between the obesity degree at the first time point and the obesity degree at the second time point after the first time point. The change in obesity may be calculated by including whether or not the obesity is increased, the amount of change in obesity, etc.

The similarity calculation unit 153 may calculate a change in obesity degree of an object and a change in obesity degree of a group to which the object belongs. It is possible to determine whether or not the increase is consistent by comparing whether the change in obesity degree of the object increases and whether the change in obesity degree of the group is increased.

The target receiving unit 154 receives obesity management target information from the terminal of the first object.

The object search unit 155 searches for a group corresponding to the obesity management target information and an object belonging to the group. The object search unit 155 extracts an amount of change in obesity degree and an amount of weight change included in the obesity management target information, and searches for a group and an object within the group in consideration of the amount of change in obesity and the amount of change in weight. In this case, a group and an object within the group may be searched in consideration of not only changes in obesity but also occupation information, gender information, age information, and the like.

The information providing unit 156 may provide information on the searched group and objects in the group. The information providing unit 156 may provide a link with the searched group and object so as to establish an online relationship. In this case, the information providing unit 156 may charge an amount proportional to the number of groups and objects provided. In this case, a predetermined reward may be provided to the provided group and object accounts. Here, the reward is provided at the time of provision, and the obesity of the first object may also be provided at the time of completion of management. When the obesity level management is completed, a differential reward may be provided according to whether or not the target obesity level of the first object is approached.

When the change in the obesity degree of the second object is compared with the change in the obesity degree of the group included in the second object and the change in the obesity degree of the object changes in the opposite direction, the information providing unit 156 recommends group information to the terminal of the second object. Can be created and provided.

The information providing unit 156 may extract an object whose obesity degree changes in a direction different from that of the group's obesity degree change, and provide guide information for changing the change direction of the obesity degree to a terminal of the object.

The information providing unit 156 extracts an object that changes in an obesity degree change amount less than that of the group, even if the obesity degree changes in the same direction as the change in obesity degree of the group, and guide information that can increase the change in obesity degree to the terminal of the object. Can provide.

The information providing unit 156 may compare the change in the obesity degree of the group and the change in the obesity degree of the central object of the group, and calculate a correlation between the change in the obesity degree of the group and the change in the obesity degree of the central object of the group. In one or more registered groups, a correlation between changes in the obesity level of the group and the central object may be calculated by comparing changes in the obesity level of the group and the central object. A group with low correlation can be extracted, and characteristics of objects within a group with low correlation can be extracted.

As shown in FIG. 4, in S110, the online obesity management apparatus 100 collects one or more objects online and obesity information of a group to which the one or more objects belong. As shown in FIG. 6, in S111, the online obesity management apparatus 100 periodically receives weight information, gender information, age information, region information, and job information from terminals of one or more registered objects. The online obesity management apparatus 100 receives weight information, gender information, age information, area information, occupation information, and the like using the terminal of each object. The terminal of the object may receive weight information and height information of the object by connecting with a health-related device. Gender information, age information, region information, occupation information, etc. may be input by an object, but are not limited thereto, and may be obtained through various records. It can communicate with other external devices to acquire various records. For example, medical records can only be obtained with certain rights. Depending on the user's authority, a part of the contents of the medical record may be obtained in an undisclosed state according to regulations and regulations.

In S112, the online obesity management apparatus 100 may calculate obesity level information based on weight information, sex information, and age information of each object. The online obesity management apparatus 100 may calculate the obesity level information by combining the weight information and the height information, and adjust the obesity level information by using the sex information and the age information.

In S120, the online obesity management apparatus 100 may calculate a change in the obesity degree of one or more objects included in the group based on the collected obesity degree information. The online obesity management apparatus 100 may calculate the change in the obesity degree of the group by collecting changes in the obesity degree of each object included in the group.

In S130, the online obesity management apparatus 100 may calculate a similarity between the change in the obesity degree of the object and the change in the obesity degree of the group including the object. The change in obesity degree may be determined based on a difference value between the obesity degree at the first time point and the obesity degree at the second time point after the first time point. The change in obesity may be calculated by including whether or not the obesity is increased, the amount of change in obesity, etc.

The online obesity management apparatus 100 may calculate a change in obesity of an object and a change in obesity of a group to which the object belongs. It is possible to determine whether or not the increase is consistent by comparing whether the change in obesity degree of the object increases and whether the change in obesity degree of the group is increased.

As shown in FIG. 5, in S210, the online obesity management apparatus 100 receives obesity management target information from the terminal of the first object.

In S220, the online obesity management apparatus 100 searches for a group corresponding to the obesity management target information and an object belonging to the group. The online obesity management apparatus 100 extracts an amount of change in obesity and a change in weight included in the obesity management target information, and searches for a group and an object within the group in consideration of the change in obesity and the change in weight. In this case, a group and an object within the group may be searched in consideration of not only changes in obesity but also occupation information, gender information, age information, and the like.

In S230, the online obesity management apparatus 100 may provide information on the searched group and objects in the group. The online obesity management apparatus 100 may provide a link with the searched group and object so as to establish an online relationship. In this case, the online obesity management apparatus 100 may charge an amount proportional to the number of groups and objects provided. In this case, a predetermined reward may be provided to the provided group and object accounts. Here, the reward is provided at the time of provision, and the obesity of the first object may also be provided at the time of completion of management. When the obesity level management is completed, a differential reward may be provided according to whether or not the target obesity level of the first object is approached.

As shown in FIG. 7, in S310, the online obesity management apparatus 100 compares the change in the obesity level of the group and the change in the obesity level of one or more objects included in the group.

In S320, the online obesity management apparatus 100 extracts a second object having a change in obesity that is not similar to the change in obesity of the group. In S330, the online obesity management apparatus 100 generates and provides recommended group information for changing the obesity level to the terminal of the second object. The recommended group information for changing the obesity level may be provided to an object whose obesity level information exceeds a preset threshold obesity level. An obesity degree change in which the obesity degree information of an object can be reduced may be determined, and group recommendation information including a group corresponding to the obesity degree change and an object of the group may be generated and provided.

The apparatus described above may be implemented as a hardware component, a software component, and/or a combination of a hardware component and a software component. For example, the devices and components described in the embodiments are, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA). , A programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions, such as one or more general purpose computers or special purpose computers. The processing device may execute an operating system (OS) and one or more software applications executed on the operating system. In addition, the processing device may access, store, manipulate, process, and generate data in response to the execution of software. For the convenience of understanding, although it is sometimes described that one processing device is used, one of ordinary skill in the art, the processing device is a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that it may include. For example, the processing device may include a plurality of processors or one processor and one controller. In addition, other processing configurations are possible, such as a parallel processor.

The software may include a computer program, code, instructions, or a combination of one or more of these, configuring the processing unit to behave as desired or processed independently or collectively. You can command the device. Software and/or data may be interpreted by a processing device or to provide instructions or data to a processing device, of any type of machine, component, physical device, virtual equipment, computer storage medium or device. , Or may be permanently or temporarily embodyed in a transmitted signal wave. The software may be distributed over networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the embodiment, or may be known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. -A hardware device specially configured to store and execute program instructions such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of the program instructions include not only machine language codes such as those produced by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as one or more software modules to perform the operation of the embodiment, and vice versa.

As described above, although the embodiments have been described by the limited embodiments and drawings, various modifications and variations are possible from the above description by those of ordinary skill in the art. For example, the described techniques are performed in a different order from the described method, and/or components such as a system, structure, device, circuit, etc. described are combined or combined in a form different from the described method, or other components Alternatively, even if substituted or substituted by an equivalent, an appropriate result can be achieved.

Therefore, other implementations, other embodiments, and claims and equivalents fall within the scope of the claims to be described later.

Claims

Collecting obesity information of one or more objects online and a group to which the one or more objects belong;

Calculating an obesity degree change including an increase in obesity degree and an amount of change in obesity degree of the one or more objects included in the group based on the collected obesity degree information;

Comparing the change in obesity of the at least one object with the change in obesity of the group, calculating a degree of similarity between changes in obesity as at least one of a direction match and a change amount match;

Receiving obesity management target information from the terminal of the first object;

Searching for a group corresponding to the obesity management target information and an object belonging to the group in consideration of an obesity level change amount and a weight change amount included in the obesity management target information; And

Providing the group and the object belonging to the group to the terminal of the first object; including, online obesity management method.
The method of claim 1,

The collecting step

Periodically receiving weight information, gender information, age information, region information, and occupation information from the terminals of the one or more objects,

An online obesity management method for calculating obesity degree information based on the weight information, the sex information, and the age information.
The method of claim 1,

The step of calculating the change in the obesity degree of the object

An on-line obesity management method for calculating, for each object, an obesity degree change, which is a time series change of the obesity degree information, using obesity degree information of one or more objects belonging to the group.
The method of claim 1,

The step of calculating the change in the obesity degree of the group

An on-line obesity management method for calculating the change in obesity of the group as an average value of changes in obesity of one or more objects belonging to the group.
The method of claim 1,

The searching step

Using a target weight value included in the obesity management target information and a difference value between the target weight value and the current weight value, the group whose obesity degree change corresponds to the difference value is searched for, and objects belonging to the group are found. Search, how to manage obesity online.
The method of claim 1,

When the change in the obesity degree of the second object changes in a direction opposite to the change in the obesity degree of the group included in the second object,

Online obesity management method for generating and providing recommended group information to the terminal of the second object.
An information collection unit that collects one or more objects online and obesity information of a group to which the one or more objects belong;

An obesity degree change calculator configured to calculate an obesity degree change including an increase in obesity and an amount of change in obesity of the one or more objects included in the group based on the collected obesity degree information;

A similarity calculation unit that compares changes in the obesity level of the one or more objects with changes in the obesity level of the group, and calculates a degree of similarity between changes in the obesity level as at least one of a direction match and a change amount match;

A target receiving unit for receiving obesity management target information from a terminal of the first object;

An object search unit that searches for a group corresponding to the obesity management target information and an object belonging to the group in consideration of an obesity level change amount and a weight change amount included in the obesity management target information; And

Containing, an online obesity management apparatus comprising; an information providing unit providing the group and the object belonging to the group to the terminal of the first object.
The method of claim 7,

The information collection unit

Periodically receiving weight information, gender information, age information, region information, and occupation information from the terminals of the one or more objects,

An online obesity management apparatus for calculating obesity degree information based on the weight information, the gender information, and the age information.
The method of claim 7,

The obesity degree change calculator

An on-line obesity management apparatus for calculating, for each object, an obesity degree change, which is a time-series change of the obesity degree information, by using obesity degree information of one or more objects belonging to the group.
The method of claim 7,

The obesity degree change calculator

The online obesity management apparatus for calculating the change in the obesity degree of the group as an average value of changes in the obesity degree of one or more objects belonging to the group.
The method of claim 7,

The object search unit

Using a target weight value included in the obesity management target information and a difference value between the target weight value and the current weight value, the group whose obesity degree change corresponds to the difference value is searched for, and objects belonging to the group are found. Search, online obesity management device.
The method of claim 7,

The information providing unit

When the change in the obesity degree of the second object changes in a direction opposite to the change in the obesity degree of the group included in the second object,

Online obesity management apparatus for generating and providing recommended group information to the terminal of the second object.
A computer program stored in a computer-readable storage medium to execute the method of any one of claims 1 to 6 using a computer.