KR20230119879A - Method for providing of home training service of rowing exercise and system for home training of rowing exercise using cloud server - Google Patents

Abstract

A method for providing a service for rowing exercise for home training and a rowing exercise system for home training using a cloud server are disclosed. The present invention provides a rowing machine for a user's rowing exercise, a cloud server that receives first information of the user detected from the rowing machine, and generates second information corresponding to the first information, and the second information Including a user terminal provided to a user, wherein the cloud server may perform a K-center clustering process based on the first information and generate the second information based on a resultant value of the K-center clustering process. there is.

Description

Method for providing home training service for rowing exercise and rowing exercise system for home training using cloud server

The present invention relates to a method for providing a service for rowing exercise for home training and a rowing exercise system for home training using a cloud server. More specifically, it relates to a method for providing a service for home training and a rowing exercise system for home training, which can consistently perform rowing exercise at home through a rowing machine and a cloud server.

Recently released fitness equipment tends to be automated, so some tread-mills or health cycles are increasingly equipped with dedicated software or Android-based solutions. In this way, the solution installed in the fitness equipment allows the user to exercise according to the set exercise program only when the user manually sets the exercise program.

The fitness equipment according to the prior art requires a user to directly set an exercise program, and a user input unit (not shown) such as an exercise machine, a button for setting an exercise program, and a screen capable of displaying an exercise program set by the user ( not shown) and the like. However, each of these fitness equipment is an independent entity, and users who exercise using the fitness equipment suffer from the inconvenience of having to directly set an exercise program each time they use the fitness equipment.

In addition, exercise that consumes a lot of calories, such as rowing exercise, has a high probability that the user easily gets tired or bored during home training, so it is not easy to continuously exercise.

Therefore, without the user directly touching various settings during the rowing exercise, the program controls the level of difficulty of the rowing machine or the pace of the virtual competitor in the simulation according to the user's current exercise condition, so that the user can easily lose interest without losing interest. The need for a method and system for allowing people to exercise for a long time at their own pace is increasing.

KR20130106921A (Title of invention: Exercise management device, system, and exercise management method using the same)

An object of the present invention is to provide a service providing method for home training and a rowing exercise system for home training, which can consistently perform rowing exercise at home through a rowing machine and a cloud server.

In order to solve the above problems, the present invention receives a rowing machine for a user's rowing exercise and first information of the user detected from the rowing machine, generates second information corresponding to the first information, and , A cloud server that transmits the second information to the rowing machine to provide the user with the cloud server, wherein the cloud server performs a K-center clustering process based on the first information, and the K-center clustering process The second information is generated based on a result value of , and the second information is content information about the rowing exercise, and the level of difficulty may be adjusted based on the result value.

In addition, the system may further include a user terminal receiving the first information and the second information from the cloud server.

In addition, the first information may include at least one of a resistance value of the rowing machine, time information of the rowing exercise of the user, and speed information measured during the rowing exercise of the user.

In addition, the cloud server stores third information according to a criterion set by the user, performs the K-center clustering process based on the first information and the third information, and performs the K-center clustering process The second information may be generated based on the resulting value, two clusters may be generated based on the K-center clustering process, and a similarity may be derived based on a Euclidean distance between the two clusters.

In addition, the cloud server extracts an average value of each of the two clusters, extracts a final distance value between each average value, derives the similarity based on the final distance value, and derives the first distance value based on the similarity. 2 information is generated, but the second information is content information about the rowing exercise, and the difficulty is adjusted based on the result value, and the cloud server maintains or lowers the difficulty when the similarity is equal to or greater than a predetermined value, and the If the degree of similarity is less than a predetermined value, the level of difficulty may be increased.

In addition, in order to solve the above-described problem, the present invention includes the steps of receiving first information of a user detected from a rowing machine, performing a K-center clustering process based on the first information, and the K-center clustering Generating the second information based on a result value of the process, wherein the step of deriving the second information comprises generating two clusters based on the K-center clustering process, each of the two clusters Extracting an average value of , extracting a final distance value between each average value, deriving the degree of similarity based on the final distance value, and generating the second information based on the degree of similarity, , The second information may be content information about the rowing exercise, and the degree of difficulty may be adjusted based on the degree of similarity.

In addition, in order to solve the above problems, the present invention is a non-transitory computer readable medium storing instructions, wherein the instructions, when executed by a processor, cause the processor to perform the above-described method, a non-transitory computer readable medium It can be a possible medium.

The present invention has an effect of allowing the user to continuously exercise by not easily losing interest even when the user performs rowing exercise, which is one of the difficult exercises, at home.

The effects obtainable according to the present invention are not limited to the effects mentioned above, and other effects not mentioned are clearly understood by those skilled in the art from the outer surface of the protection unit below. It could be.

1 shows a rowing exercise system for home training using a cloud server according to the present invention.
2 shows a cloud server according to the present invention.
3 shows a functional configuration included in a memory according to the present invention.
4 and 5 show a service providing method for home training for rowing exercise according to the present invention.
6 shows a shape in which a rail portion of a rowing exercise device for home training according to the present invention is level with the ground.
7 shows a shape in which the other side of the rail part of the rowing exercise machine for home training according to the present invention is lifted.
8 shows a monitor unit according to the present invention.
Figure 9 shows a block diagram of the configuration of the rowing exercise equipment for home training according to the present invention.
The accompanying drawings, which are included as part of the detailed description to aid understanding of the present specification, provide examples of the present specification and describe technical features of the present specification together with the detailed description.

Hereinafter, the embodiments disclosed in this specification will be described in detail with reference to the accompanying drawings, but the same or similar elements are given the same reference numerals regardless of reference numerals, and redundant description thereof will be omitted.

In addition, in describing the embodiments disclosed in this specification, if it is determined that a detailed description of a related known technology may obscure the gist of the embodiment disclosed in this specification, the detailed description thereof will be omitted.

In addition, the accompanying drawings are only for easy understanding of the embodiments disclosed in this specification, the technical idea disclosed in this specification is not limited by the accompanying drawings, and all changes included in the spirit and technical scope of the present invention , it should be understood to include equivalents or substitutes.

Terms including ordinal numbers, such as first and second, may be used to describe various components, but the components are not limited by the terms. These terms are only used for the purpose of distinguishing one component from another.

Singular expressions include plural expressions unless the context clearly dictates otherwise.

In this application, terms such as "comprise" or "having" are intended to designate that there is a feature, number, step, operation, component, part, or combination thereof external to the protection unit in the specification, but one or It should be understood that it does not preclude the possibility of the presence or addition of other features, numbers, steps, operations, components, parts, or combinations thereof beyond that.

Hereinafter, a rowing exercise system for home training using a cloud server according to a preferred embodiment of the present specification based on the above description will be described in detail.

1 shows a rowing exercise system for home training using a cloud server according to the present invention.

According to FIG. 1 , the system according to the present invention may include a rowing machine 10 , a cloud server 20 and a user terminal 30 .

The rowing machine 10 according to the present invention is for a user's rowing exercise, and may include a configuration capable of communicating with the cloud server 20 or the user terminal 30. The rowing machine 10 according to the present invention may further include a separate display unit, and data received from the cloud server 20 may be displayed through the display unit. A detailed description of the rowing machine 10 according to the present invention will be described below with reference to FIG. 6 .

The cloud server 20 according to the present invention may receive first information of a user detected from the rowing machine 10 and generate second information corresponding to the first information. The cloud server 20 according to the present invention may transmit the second information to the rowing machine 10 . The second information may be provided to the user through a display unit included in the rowing machine 10 . In addition, the cloud server 20 according to the present invention may perform a K-center clustering process based on the first information and generate second information based on a result value of the K-center clustering process.

The first information according to the present invention may include at least one of a resistance value of the rowing machine 10, time information of the user's rowing exercise, and speed information measured during the user's rowing exercise. In addition, the first information according to the present invention includes information on the size of the user's power of rowing, information on the user's speed of rowing, information on the distance that the seat of the rowing machine 10 moves during rowing exercise, and rowing information. During exercise, at least one of moving speed information of the seat unit may be further included. In addition, the second information according to the present invention is content information about rowing exercise, and may be adjusted in difficulty based on a result value of a K-center clustering process.

For example, the cloud server 20 according to the present invention may receive the first information and learn it to derive state information about the current state of the user. The cloud server 20 according to the present invention may change the setting value of the rowing machine 10 based on the derived state information. The setting value of the rowing machine 10 may be the value for the level of difficulty described above. The difficulty level of the present invention may mean a user's force required for rowing in a rowing mother or a resistance value of the rowing machine 10 .

The user terminal 30 according to the present invention may mean a computing device such as a smart phone, a PDA, a mobile phone, a personal computer, a laptop computer, and a tablet. The user terminal 30 according to the present invention receives the first information and the second information from the cloud server 20, receives a user input from a user, and transmits the user input to the rowing machine 10 or the cloud server 20 ) can be transmitted. In addition, the user terminal 30 according to the present invention may include a separate processor (not shown), a separate memory (not shown), and a separate communication module (not shown) in order to execute the application according to the present invention. .

The cloud server 20 according to the present invention stores third information according to a criterion set by a user, performs a K-center clustering process based on the first information and the third information, and results from the K-center clustering process. Second information may be generated based on the value.

The third information may be information about a set value set as a target value by the user. For example, when a user sets his or her target value, second information may be generated based on how close the actual user's exercise information is to the target value.

That is, the cloud server 20 according to the present invention generates two clusters based on the K-center clustering process, derives a degree of similarity based on the Euclidean distance between the two clusters, and An average value may be extracted, a final distance value between each average value may be extracted, a degree of similarity may be derived based on the final distance value, and second information may be generated based on the degree of similarity. The similarity is a larger value as the size of the final distance value is smaller, and the larger the similarity, the more similar the two controls can be defined. The final distance value may be a Euglid distance, and a method for calculating it will be described later.

In addition, at this time, since the second information is content information about the rowing exercise and may be difficulty adjusted based on the result value, the cloud server 20 according to the present invention maintains or lowers the difficulty level when the similarity is less than a predetermined value, If the degree of similarity is greater than or equal to a predetermined value, the level of difficulty may be increased. The content information may be a simulation game executed in the cloud server 20, and difficulty may be adjusted by a resistance value of the rowing machine 10. In general, the rowing machine 10 may adjust the load applied to the user's muscles by adjusting the resistance value.

For example, an example according to the present invention may be as follows.

The cloud server 20 may receive a user input through the rowing machine 10 or the user terminal 30 . In this case, the user input is third information and may be information about the user's target value. The user can set a desired resistance value as a target value. Assuming that the rowing machine 10 can set a resistance value up to 10, the user can (1) row with a resistance of 7 (2) for 10 minutes (3) at an average speed of 20 km/h. can be entered. The cloud server 20 may receive, as first information, a record of a user rowing with a resistance of 7 for 10 minutes. In this case, it may be assumed that the first information includes information that the user rowed (1) with a resistance of 7 (2) for 10 minutes (4) at an average speed of 12 km/h. Since the average speed of the user's target value and the average speed of the first information differ by 8 km/h, which is greater than the preset value of 2 km/h, the cloud server 20 determines the resistance value of the rowing machine 10 Second information for lowering to 5 may be generated and transmitted to the rowing machine 10 .

As another example, an example according to the present invention may be as follows.

The cloud server 20 may provide a virtual rowing competition simulation to the user. In this case, a virtual competitor capable of performing a target value (third information) previously set by the user may exist in the simulation. The cloud server 20 may receive exercise information (first information) of the user from the rowing machine 10 through a virtual rowing competition. The cloud server 20 may adjust the pace of a virtual competitor according to the similarity between the user's exercise information (first information) and a preset target value (third information) during the virtual game. That is, when the similarity between the first information and the third information is higher than a preset value and the similarity increases, the cloud server 20 increases the speed of the virtual competitor to induce the user to do more exercise, or rowing machine ( 10) can be increased by one or two steps (second information). Conversely, when the similarity between the first information and the third information is lower than a preset value, the cloud server 20 reduces the speed of the virtual competitor to induce the user to complete the race without giving up, or rowing The resistance value of the machine 10 can be lowered by one or two steps (second information).

2 shows a cloud server according to the present invention.

The cloud server 20 according to the present invention may include a processor, a memory and a communication module.

The processor 21 may execute instructions stored in the memory 22 to control other components. The processor 21 may execute instructions stored in the memory 22 .

The processor 21 is a component capable of performing calculations and controlling other devices. Mainly, it may mean a central processing unit (CPU), an application processor (AP), a graphics processing unit (GPU), and the like. Also, the CPU, AP, or GPU may include one or more cores therein, and the CPU, AP, or GPU may operate using an operating voltage and a clock signal. However, while a CPU or AP consists of a few cores optimized for serial processing, a GPU may consist of thousands of smaller and more efficient cores designed for parallel processing.

The processor 21 may provide or process appropriate information or functions to a user by processing signals, data, information, etc. input or output through the components described above or by driving an application program stored in the memory 22.

The memory 22 stores data supporting various functions of the cloud server 20 . The memory 22 may store a plurality of application programs (or applications) running in the cloud server 20 , data for operating the cloud server 20 , and commands. At least some of these application programs may be downloaded from the external cloud server 20 through wireless communication. Also, the application program may be stored in the memory 22, installed in the cloud server 20, and driven by the processor 21 to perform an operation (or function) of the cloud server 20.

The memory 22 may be a flash memory type, a hard disk type, a solid state disk type, a silicon disk drive type, or a multimedia card micro type. ), card-type memory (eg SD or XD memory, etc.), RAM (random access memory; RAM), SRAM (static random access memory), ROM (read-only memory; ROM), EEPROM (electrically erasable programmable read -only memory), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, and an optical disk. In addition, the memory 22 may include a web storage that performs a storage function on the Internet.

The communication module 23 transmits and receives information with a base station or a camera having a communication function through an antenna. The communication module 23 may include a modulation unit, a demodulation unit, a signal processing unit, and the like.

Wireless communication may refer to communication using a wireless communication network using a communication facility previously installed by telecommunication companies and a frequency of the communication facility. At this time, the communication module 23 is CDMA (code division multiple access), FDMA (frequency division multiple access), TDMA (time division multiple access), OFDMA (orthogonal frequency division multiple access), SC-FDMA (single carrier frequency division multiple access), and the like, as well as the communication module 23 can also be used for 3rd generation partnership project (3GPP) long term evolution (LTE). In addition, not only 5G communication, which is currently being commercialized, but also 6G, which is scheduled to be commercialized later, can be used. However, the present specification may utilize a pre-installed communication network without being bound by such a wireless communication method.

In addition, as a short range communication technology, Bluetooth, BLE (Bluetooth Low Energy), Beacon, RFID (Radio Frequency Identification), NFC (Near Field Communication), infrared communication (Infrared Data Association; IrDA) ), UWB (Ultra Wideband), ZigBee, etc. may be used.

3 shows a functional configuration included in a memory according to the present invention.

According to FIG. 3, the functional configuration included in the memory 22 according to the present invention may include a CNN learning module 22A, a K-center clustering process performing module 22B, and a data storage module 22c.

The data storage module 22c according to the present invention may be a module that stores all big data to be studied according to the present invention. Other functional components included in the memory 22 according to the present invention may receive big data from the data storage module 22c. The data storage module 22c according to the present invention may be a module that stores big data labeled by a user.

The CNN learning module 22A according to the present invention may be a module for learning big data learned in the data storage module. Specifically, the CNN learning module 22A according to the present invention is a deep neural network, and is a system or network that builds one or more layers in one or more computers to make decisions based on a plurality of data. can mean For example, a deep neural network can be implemented with a set of layers including a Convolutional Pooling Layer, a locallyconnectedlayer and a fully-connected layer. For example, the overall structure of the deep neural network may be formed of a convolutional neural network (CNN) structure in which a local access layer is followed by a convolutional pooling layer, and a fully connected layer is connected to the local access layer. In addition, the deep neural network may be formed, for example, in a recurrent neural network (RNN) structure in which nodes of each layer include edges pointing to the nodes and are connected recursively. The deep neural network may include various criterion, and a new criterion may be added through analysis of an input image. However, the structure of the deep neural network according to an embodiment of the present invention is not limited thereto, and may be formed with various structures of neural networks.

Specifically, the CNN learning module 22A may learn data about user experiences of existing rowing machine users. The CNN learning module 22A takes the first information (exercise information) of existing rowing machine users and the third information (target value information) of existing rowing machine users as input values, and obtains second information (resistance value, difficulty control information) according to the input values. ) as an output value. At this time, unlike the present invention, the second information may include data about the value adjusted by the targeted trainer.

The K-center clustering process execution module 22B according to the present invention may locate the above-described first information on 3-dimensional coordinates and the above-described third information on 3-dimensional coordinates. In this case, the 3D coordinates may mean (resistance value, target time, target average speed). The K-center clustering process performing module 22B may classify and classify 3D coordinates.

Specifically, the K-center clustering process performing module 22B may generate K clusters and classify data by determining similarities based on distance values of the generated clusters.

The K-center clustering process refers to clustering given data into K clusters. In this K-center clustering process, after randomly selecting a sample value from a given data sample, the distance from the sample value to other sample data is measured. At this time, the nearest centroid is selected from each data sample, and the distance from the corresponding sample to another data sample value is calculated again. By repeating this process, clustering is achieved. That is, a plurality of clusters are created. This clustering technique can be mainly implemented in Python. Clustering is being used as one of the algorithms that can be used in signal analysis.

According to FIG. 3, as a result of performing the K-center clustering process, two clusters are finally generated. As a result of performing the K-center clustering process according to the present invention, measurement values can be classified into clustering 1 and clustering 2.

At this time, the data to be clustered may be the above-described 3D coordinates, or may be various data (a plurality of 3D coordinates information) in which the user has performed an exercise. The cloud server according to the present invention may perform a K-center clustering process on a plurality of coordinate information of a plurality of peaks.

The cloud server according to the present invention may finally generate two clusters based on a K-center clustering process and derive a similarity based on the Euclidean distance between the two clusters.

In addition, the cloud server according to the present invention may extract an average value of each of the two clusters, extract a final distance value between each average value, and generate second information based on the similarity based on the final distance value. A detailed method of generating the second information will be described later.

The K-center clustering process module 22B according to the present invention calculates the first center value of clustering 1 (clustering for the first difference value) through the average calculation method, and performs clustering 2 (clustering for the second difference value) The second central value of can be calculated through the average calculation method. The K-center clustering process module according to the present invention calculates a final distance value between the first center value and the second center value, and when the size of the final distance value is greater than or equal to a predetermined value, the similarity of each cluster is determined in advance. It can be judged to be less than the value. Conversely, when the magnitude of the final distance value is less than the predetermined value, it may be determined that the similarity of each cluster is higher than the predetermined value.

That is, the K-center clustering process module 22B according to the present invention calculates a final distance value between the first center value and the second center value, and when the size of the final distance value is greater than or equal to a predetermined value, the first information is 3 It can be defined as dissimilar to information. Conversely, when the magnitude of the final distance value is less than a predetermined value, the first information may be defined as similar to the third information. When the first information and the third information are similar, since the user has achieved the target value, the cloud server may increase the level of difficulty. Conversely, if the first information and the third information are dissimilar to each other, since the user has not achieved the target value, the cloud server may maintain the level of difficulty as it is or lower the level.

As an example, an example of converting the first information and the second information into two-dimensional coordinates is disclosed.

The K-center clustering process execution module 22B according to the present invention may perform the K-center clustering process by setting feature 1 as the x-axis coordinate and feature 2 as the y-axis coordinate. The K-center clustering process module 22B according to the present invention calculates the first central value of cluster 1 and the second central value of cluster 2, and calculates the Euclidean distance between the first central value and the second central value. can The Euclidean distance may be defined by Equation 1 below.

[Equation 1]

(However, d is a distance value, (x, y) is a coordinate value, and x corresponds to the resistance value (1 to 10) set by the user on the rowing machine. However, this is only an example, and those skilled in the art Through Equation 1 of this specification, the Euclidean distance of 3-dimensional coordinates can be easily derived.)

Preferably, the final distance value according to the present invention can be extracted in the following order.

(1) Extracting the first average value (x1, y1) of cluster 1 and the second average value (x2, y2) of cluster 2

(2) The first average value and the second average value are coordinate values, respectively, and the final distance value (L) between the first average value and the second average value is extracted based on Equation 2 below.

[Equation 2]

(However, (x1, y1) is a coordinate value generated based on the average value of cluster 1 (= first central value), and (x2, y2) is generated based on the average value of cluster 2 (= second central value) coordinates)

In the present invention, when the extracted final distance value (L) is greater than the preset distance value, the similarity between the exercise information and the pre-input target value is small, so the similarity of the two control groups can be defined as low. That is, in this case, the user's exercise information may be defined as much less than the target value.

In the case of similarity, it is more efficient to multiply the final distance value (L) by a correction coefficient and compare it with a preset distance value based on this. This is referred to as the corrected final distance value (L') and can be extracted based on Equations 3 and 4 below.

[Equation 3]

(However, (x1, y1) is a coordinate value generated based on the average value of cluster 1, and (x2, y2) is a coordinate value generated based on the average value of cluster 2)

[Equation 4]

In this case, α is a correction constant for generating more accurate second information, and the unit of α can be ignored.

[Experiment example]

Based on the Euclidean distance generated using the correction constant according to the present invention, the similarity between the exercise information and the target value was derived, and based on this, the second information was generated to adjust the difficulty level, and the result was compared with the case where the difficulty level was not adjusted. is shown in Table 1 below.

At this time, a total of 15 people from 20s to 50s were compared by random extraction by age group without rowing exercise experience. The evaluation score is evaluated out of 100 points, and indicates the degree of interest in the rowing exercise after the users have completed and finished the same virtual simulation game (rowing race) provided by the cloud server of the present invention.

Difficulty adjustment X Correction factor α not used Use correction factor α Evaluation score (points) 45 68 75

Table 1 shows the evaluation scores based on the degree of interest of the cases according to the present invention. As a result of the experiment, the score of the rowing exercise case based on the target value (third information) set by the person without difficulty adjustment was the lowest, and the evaluation score of the case using the difficulty adjustment algorithm significantly increased. In addition, it is confirmed that the case where the difficulty adjustment algorithm using the correction coefficient α has a significantly higher level of interest than the case where the correction coefficient α is not used.

Hereinafter, a method for providing a home training service for rowing exercise according to a preferred embodiment of the present specification based on the above description will be described in detail.

4 and 5 show a service providing method for home training for rowing exercise according to the present invention.

A subject performing the service providing method for home training according to the present invention may be a cloud server or a processor included in the cloud server according to the above-described preferred embodiment.

A service providing method according to the present invention includes receiving first information of a user detected from a rowing machine (S1100), performing a K-center clustering process based on the first information (1200), and the K-center The step of generating the second information based on the resultant value of the clustering process (S1300), wherein the step of deriving the second information (S1300) generates two clusters based on the K-center clustering process. (S1310), extracting an average value of each of the two clusters (S1320), extracting a final distance value between each average value (S1330), and deriving the degree of similarity based on the final distance value (S1330). (S1340), and generating the second information based on the similarity (S1350). In this case, the second information is content information about the rowing exercise and may have difficulty adjusted based on the similarity.

As described above, the method for providing a home training service for rowing exercise according to the present invention can provide the service through the same process as described in FIGS. 1 to 3, which can be clearly understood by those skilled in the art through this specification. there is.

Hereinafter, a rowing machine according to a preferred embodiment of the present specification will be described in detail based on the above information. In this case, the rowing machine means a rowing machine used in the system of the present invention described above.

A rowing machine for home training according to the present invention includes a first body part 100, a second body part 200, and a display part 300.

Referring to FIG. 6 , the first body part 100 includes a seat part 110, a first support part 120, a second support part 130, a rail part 140, a pedal part 150, a first It includes an adjusting unit 160 and a second adjusting unit 170 .

A rail part 140 extends in the longitudinal direction at the lower part of the seat part 110 and is formed, and the user's buttocks are positioned on the upper surface of the seat part 110 .

The sliding part 111 is formed in contact with the lower part of the seat part 110 and is movable in the longitudinal direction along the rail part 140 .

The first support portion 120 extends vertically from the lower portion of one side of the rail portion 140, and the second support portion 130 extends vertically from the lower portion of the other side of the rail portion 140. do.

A pedal part 150 is formed on the upper part of the other side of the rail part 140, and the user's feet come into contact with the pedal part 150.

A second body part 200 is formed at the other end of the first body part 100 , and the second body part 200 includes a wheel part 210 , a belt part 220 and a monitor part 230 .

The belt part 220 is formed by being wound around the outer circumferential surface of the wheel part 210, and since the belt part 220 protrudes out of the second body part 200, the user can grip one end of the belt part 220. can

The user's buttocks are located in contact with the seat part 110, both feet of the user are located in contact with the pedal unit 150, and one end of the belt unit 220 is gripped with both hands of the user.

That is, the user fixes both feet to the pedal part 150, grips one end of the belt part 220 and pulls it in the longitudinal direction, and at the same time slides the seat part 110 in the longitudinal direction using the user's lower body force. Move and perform lower body exercises.

Since the rowing exercise equipment is a known technology, a detailed description thereof will be omitted.

Although not shown in the drawing, a rotation sensor (not shown) is configured in the wheel unit 210, and the user grips one end of the belt unit 220 and slides the seat unit 110 in the longitudinal direction to move it. When the belt unit 220 is pulled forward, the rotation sensor detects the number of rotations of the wheel unit 210.

The detected number of revolutions is transmitted to the receiving unit 1122 to be described later, and a description thereof will be described later.

A first control unit 160 and a second control unit 170 are configured below the pedal unit 150, and the first control unit 160 includes a groove 161, a first moving unit 162, and a pinion gear. 163, and the second adjusting unit 170 includes a second moving unit 171 and a third moving unit 172.

The other side of the rail unit 140 ascends and descends with the configuration of the first control unit 160 and the second control unit 170, which will be described in detail with reference to FIGS. 6 and 7.

The rail unit 140 of FIG. 6 shows the initial state of the present invention, that is, a state in which it is level with the ground.

A groove part 161 is formed extending in the longitudinal direction inside the first adjusting part 160, and one end of the first moving part 162 is inserted into the inside of the groove part 161.

A pinion gear 163 is formed at the other end of the first moving unit 162 , and the pinion gear 163 comes into contact with the second moving unit 171 formed inside the second adjusting unit 170 .

It is preferable that a rack gear is formed below the second moving unit 171, that is, the rack gear and the pinion gear 163 are meshed with each other.

A third movable unit 172 is coupled to an upper portion of the second movable unit 171, and the second movable unit 171 and the third movable unit 172 are preferably hinged.

Referring to FIG. 7 , when the first moving part 162 moves forward from the inside of the groove part 161, the other side of the rail part 140 moves up and down.

At this time, the pinion gear 163 formed at the other end of the first moving unit 162 and the second moving unit 171 are meshed with each other, and the position of the second moving unit 171 is the first moving unit 162 ) is not changed even if it moves along the groove part 161.

The third movable unit 172 rotates while being hinged to the top of the second movable unit 171 as the rail unit 140 moves up and down, and serves to fix the position of the second movable unit 171 .

The user can perform a lower body exercise while the other side of the rail unit 140 is elevated, and a higher level of exercise is possible than when the rail unit 140 is horizontal to the ground.

In addition, since the user can adjust the inclination between the other side of the rail unit 140 and the ground, the user can autonomously adjust the exercise intensity, so that the effect of achieving a target amount of exercise and improving physical strength is further improved.

Although not shown in the drawings, the seat unit 110 includes a measurement sensor unit 112 capable of measuring the accumulated distance that the sliding unit 111 moves along the rail unit 140 .

The measurement sensor unit 112 includes a distance measurement sensor 1121, a receiver 1122, and a filtering unit 1123. Hereinafter, with reference to FIG. 9, the configuration and effect of the measurement sensor unit 112 will be described.

When the user moves the lower body forward or backward by holding the belt part 220 with both hands while touching the seat part 110 with the buttocks, the distance measuring sensor 1121 moves the sliding part 111 to the rail part 140 The cumulative distance traveled along can be measured.

The receiving unit 1122 serves to receive distance data and rotation number data measured from the distance measuring sensor 1121 and transmit them to the filtering unit 1123 .

The filtering unit 1123 has a first filtering function and a second filtering function.

The first filtering function is a function of determining whether a target value is reached by comparing the total accumulated distance with a first reference value in a predetermined time.

Based on the distance data received from the receiver 1122, if the accumulated distance that the sliding unit 111 has moved along the pair of frame units is smaller than the preset first reference value, the first state is determined, and if the opposite is the case, the second state judged by

If it is determined to be the first state, the filtering unit 1123 transfers the corresponding state to the monitoring unit 230, and the corresponding information can be displayed on the monitoring unit 230.

The second filtering function is a function of determining whether a minimum body motion has been performed when calculating the accumulated distance.

When only the first filtering function is used, there is a problem in that the user can fill only the 'accumulated distance' by moving upward and downward in a short radius and repeating the upward and downward movement quickly with little force (this is not suitable for measuring the chin-up) . Thus, the second filtering function can be utilized.

The second filtering function is a function of calculating an average value of forward movement distance or backward movement distance per unit time and comparing with a second reference value to determine whether a rowing operation has been performed by a specific radius (required by the designer).

Based on the distance data received from the receiver 1122, if the distance that the sliding part 111 moves upward (or downward) per unit time along the rail part 140 is smaller than the preset second reference value, the third state , and if the opposite is the case, the fourth state is determined.

If the third state is determined, the filtering unit 1123 transfers the corresponding state to the monitoring unit 230 to be described later, and the corresponding information can be displayed on the monitoring unit 230 to be described later.

7 to 9, the monitor unit 230 is formed on one side of the second body unit 200, and is formed in a position where the user can conveniently view the monitor unit 230 while performing a rowing exercise. desirable.

The monitor unit 230 includes a control unit 231, a pattern analysis unit 232, a pairing unit 233, an information providing unit 234, and a notification unit 235, and the control unit 231 is the aforementioned measurement sensor unit. It serves to control the overall operation of (112).

In addition, the control unit 231 may transmit information about the first state and the third state to the monitoring unit 230 to be described later, and information such as accumulated movement distance data and number of revolutions may be transmitted to the monitoring unit 230. can be conveyed

As shown in FIG. 8, the monitor unit 230 displays the user's exercise time, accumulated moving distance, and speed, and an information button, an analysis button, and a pairing button are configured at the lower part of the monitor unit 230.

The information button has the same configuration as the information providing unit 234 described above, and the phrase "information" is displayed on the surface of the button for the convenience of the user.

The information provision unit 234 may provide a necessary exercise method to the user, or may arbitrarily receive a goal achievement time or number of times to be recommended to the user based on an analysis of the user's exercise ability.

The analysis button has the same configuration as the pattern analysis unit 232 described above, and the word “analysis” is displayed on the surface of the button for user convenience.

The pattern analyzer 232 may analyze and display the user's exercise amount and user's exercise pattern based on information such as accumulated moving distance data and rotational speed data transmitted from the filtering unit 1123 .

That is, it is possible to analyze the user's exercise pattern and provide feedback information on the user's exercise ability and weakness.

Therefore, since the user's exercise ability is automatically evaluated using a digitized system, operation and use are simple, and the user's exercise ability improvement can be monitored in real time to intelligently identify weaknesses and suggest exercise methods.

The pairing button has the same configuration as the pairing unit 233 described above, and the phrase pairing is displayed on the surface of the button for the convenience of the user.

The monitor unit 230 of the rowing machine for home training according to the present invention is connected to the display unit 300 on which the application is loaded and the wireless communication unit 310.

The monitor unit 230 receives a signal from the display unit 300 through the pairing unit 233 such as Wi-Fi or Bluetooth, and the display unit 300 executes a command according to the signal.

The display unit 300 may be implemented as a portable mobile terminal ensuring portability and portability. In the terminal, a personal communication device (Personal Communication System, PCS), a global system for mobile communications (GSM), a digital cellular communication equipment (Personal Digital Cellular, PDC), a personal communication phone (Personal Handyphone System, PHS) ), Personal Digital Assistant (PDA), WiBro (Wireless Broadband Internet, WiBro) terminal, smartphone (Smartphone), all kinds of handheld-based wireless communication devices such as tablet PCs can be included. . In particular, a user terminal is an intelligent device in which computer support functions such as Internet communication and information search are added to a portable device, and may be a smart phone capable of installing and executing a plurality of applications desired by a user. In addition, the user terminal may be implemented as a general-purpose computer such as a desktop or laptop computer, or may be implemented as a dedicated terminal for controlling an autonomous robot.

The monitor unit 230 of the present invention is connected to the display unit 300 equipped with an application capable of controlling its operation through wireless communication.

The wireless communication unit 310 complies with technical standards or communication methods for mobile communication (eg, Global System for Mobile communication (GSM), Code Division Multi Access (CDMA), Code Division Multi Access 2000 (CDMA2000), EV-DO) (Enhanced Voice-Data Optimized or Enhanced Voice-Data Only), WCDMA (Wideband CDMA), HSDPA (High Speed Downlink Packet Access), HSUPA (High Speed Uplink Packet Access), LTE (Long Term Evolution), LTE-A (Long Term Evolution-Advanced), etc.) to transmit and receive radio signals with at least one of a base station, an external terminal, and a server on a mobile communication network. Or it may be a wireless Internet technology, and the wireless Internet technology includes, for example, WLAN (Wireless LAN), Wi-Fi (Wireless-Fidelity), Wi-Fi (Wireless Fidelity) Direct, DLNA (Digital Living Network Alliance), WiBro (Wireless Broadband), WiMAX (World Interoperability for Microwave Access), HSDPA (High Speed Downlink Packet Access), HSUPA (High Speed Uplink Packet Access), LTE (Long Term Evolution), LTE-A (Long Term Evolution-Advanced), etc. , and the communication unit transmits and receives data according to at least one wireless Internet technology within a range including Internet technologies not listed above.

Alternatively, it may be a short-range communication module. The short-range communication module is for short-range communication, and includes Bluetooth™, RFID (Radio Frequency Identification), infrared data association (IrDA), UWB (Ultra Wide band), ZigBee, NFC (Near Field Communication), Wi-Fi (Wireless-Fidelity), Wi-Fi Direct, and wireless USB (Wireless Universal Serial Bus) technology may be used to support short-distance communication. Such a short-range communication module is located between an external device unit and a terminal and a wireless communication unit, between an external device unit and another external device unit, or between a mobile terminal and another mobile terminal or external server) through a local area network (Wireless Area Networks). Wireless communication between networks may be supported.

That is, the pairing unit 233 can be paired with the user's display unit 300 to be described later through the wireless communication unit 310 configured in the display unit 300, and the user's movement pattern analyzed by the pattern analysis unit 232 is analyzed. Results may be delivered to the display unit 300 .

The display unit 300 is connected to the monitor unit 230 through a wireless communication unit 310, and the control unit 231 configured inside the monitor unit 230 controls all operations of the monitor unit 230.

Thereafter, the user can check the exercise analysis result displayed on the display unit 300, and through this, the user can objectively quantify his/her exercise information and can conveniently manage the degree of exercise based on this.

In addition, a notification unit 235 is configured in the monitor unit 230, and for example, corresponding information may be displayed in the form of an alarm through the notification unit 235.

A user can set a desired exercise goal through the monitor unit 230, and when the user does not achieve the goal within the set time, an alarm sounds in the alarm unit.

When the other side of the rail unit 140 of the present invention is continuously raised and lowered by the first control unit 160 and the second control unit 170, the first control unit 160 and the second control unit 170 ) may cause a problem of abrasion of the surface.

In other words, due to the corrosion phenomenon caused by the action of moisture in the environment in contact with the surface, rusty atmospheric corrosion may occur in the air at room temperature.

Accordingly, a coating layer is formed on the surfaces of the first control unit 160 and the second control unit 170 through anti-corrosion coating to prevent corrosion.

The coating layer (not shown) is coated using a coating composition, and the coating layer using the coating composition may exhibit an anti-corrosion effect. Specifically, a coating layer is formed on the surfaces of the first control unit 160 and the second control unit 170 by the coating layer to prevent the first control unit 160 and the second control unit 170 from being exposed to the outside. And, since it contains a metal having a higher ionization tendency than the first control unit 160 and the second control unit 170, corrosion of the first control unit 160 and the second control unit 170 can be prevented. .

Specifically, the coating composition of the present invention may include a mixture of a compound represented by Formula 1 and a compound represented by Formula 2 (hereinafter, referred to as an organic mixture), an organic solvent, a metal compound, and an amine compound:

[Formula 1]

[Formula 2]

In the case of the coating layer, the coating layer is not peeled off well even when a physical external force or chemical reaction is applied, and it is possible to achieve an effect of effectively preventing corrosion through an excellent waterproof effect.

Specifically, the organic mixture can exhibit adhesive strength to the main components exposed to moisture on the surfaces of the first control unit 160 and the second control unit 170 due to specific functional groups and structural characteristics included in the compound. Rather, by maintaining the viscosity of the coating composition at a certain level, moldability and stability may be increased.

The metal compound serves as an erosion and corrosion inhibitor that blocks contact with moisture, salt or oxygen. Here, as the metal compound, a metal having a higher ionization tendency than iron may be used to act as an erosion and corrosion inhibitor. That is, metals or alloys such as aluminum (Al), magnesium (Mg), and zinc (Zn) may be used, and zinc (Zn) is mainly used.

A particle size of the metal compound may be 0.1 to 10 μm. If the particle size of the metal compound is 0.1 μm or more, the manufacturing cost of the metal compound can be reduced, and if the particle size of the metal compound is 10 μm or less, the metal particles can be uniformly dispersed.

The organic solvent is selected from the group consisting of methyl ethyl ketone (MEK), toluene, and mixtures thereof, and preferably methyl ethyl ketone may be used, but is not limited to the above examples.

The amine compound may include a modified aliphatic amine or tertiary amines, and specifically, trimethylamine or aniline may be used. The amine compound may be included in the coating composition to prevent cracking or peeling of the coating film. That is, the effect of preventing cracks or peeling of the coating film due to use by increasing the adhesive strength of the coating layer is excellent.

The coating composition may further include a stabilizer as other additives, and the stabilizer may include a UV absorber, an antioxidant, and the like, but is not limited to the above examples and may be used without limitation.

A coating composition for forming the coating layer may include, more specifically, the compound represented by Chemical Formula 1, an organic solvent, a metal compound, and an amine compound.

The coating composition may include 30 to 50 parts by weight of the compound represented by Chemical Formula 1, 20 to 40 parts by weight of a metal compound, and 5 to 15 parts by weight of an amine compound, based on 100 parts by weight of the organic solvent. In the case of the above range, a synergistic effect is expressed to the extent that the water repellency effect due to the interaction of each component is of critical significance, and when it is out of the above range, the synergistic effect is rapidly reduced or almost nonexistent.

More preferably, the viscosity of the coating composition is 1500 to 1800 cP, and when the viscosity is less than 1500 cP, when applied to the lower surface of the heat insulating member 137, it flows down over time, so that the formation of the coating layer is not easy. And, if it exceeds 1800 cP, there is a problem that it is not easy to form a uniform coating layer.

[Preparation Example 1: Preparation of coating layer]

1. Preparation of coating composition

A coating composition was prepared by mixing methyl ethyl ketone with an organic mixture (the organic mixture was a mixture of a compound represented by Formula 1 and a compound represented by Formula 2 at a weight ratio of 1: 1), zinc and trimethylamine:

[Formula 1]

[Formula 2]

A more specific composition of the coating composition is shown in Table 2 below.

TX1 TX2 TX3 TX4 TX5 organic solvent 100 100 100 100 100 organic mixture 25 30 40 50 55 metal compound 15 20 30 40 45 amine compounds One 5 10 15 20

(unit weight parts)

2. Preparation of coating layer

Typically, the experiment was conducted by assuming that the aluminum plate material, which is a metal material easily corroded, was used as the lower surface of the heating member 137. After applying the coating composition of TX1 to TX5 described above on one surface of each 10 × 10 cm aluminum plate material, it was cured to form a coating layer.

[Experimental example]

1. Evaluation of surface appearance

Due to the difference in viscosity of the coating composition, after preparing the coating layer, a sensory evaluation was conducted on whether a uniform surface was formed. Evaluation was conducted on whether or not a uniform coating layer was formed, and the evaluation was conducted according to the following criteria.

○: uniform coating layer formation

×: Formation of non-uniform coating layer

TX1 TX2 TX3 TX4 TX5 sensory evaluation × ○ ○ ○ ×

When forming the coating layer, when the viscosity is less than a certain level, flow occurs on the surfaces of the first control unit 160 and the second control unit 170, and it is difficult to form a uniform coating layer after the curing process. . Accordingly, a problem of lowering the production yield may occur. In addition, even when the viscosity is too high, it is difficult to uniformly apply the composition and it is impossible to form a uniform coating layer.

2. Measurement of corrosion properties

In order to confirm the corrosion characteristics, a corrosion resistance test was conducted using an aluminum plate without a coating layer as a control and an aluminum plate with a coating layer of TX1 to TX5.

The aluminum plate was immersed in a beaker containing 10% by weight of CuCl ₂ aqueous solution, and the degree of corrosion was checked over time.

If the generation of hydrogen gas is visually confirmed, it will be said to mean that corrosion occurs, and it was confirmed whether or not corrosion occurred until 24 hours had elapsed.

○: Corrosion occurs

×: no corrosion

TX1 TX2 TX3 TX4 TX5 control group corrosion occurs ○ × × × × ○

As a result of the experiment, it was confirmed that hydrogen gas was generated shortly after the aluminum plate, which was a control group, was placed in a beaker, and copper was precipitated in less than 1 hour. In the case of TX1, hydrogen gas was generated after 3 hours, and copper precipitation was confirmed after 6 hours.

In the case of other coating layers, corrosion did not occur even after 24 hours, and it was confirmed that there was an excellent effect in preventing corrosion.

As such, an embodiment of the rowing machine for home training may be as follows.

[First Embodiment]

body part;

a seat portion formed on one side of the body portion;

a rail portion formed under the seat portion and extending in a longitudinal direction;

a sliding part positioned in contact with the lower part of the seat part and sliding along the rail part;

a measurement sensor unit for measuring a distance and speed of movement of the sliding unit in a longitudinal direction along the rail unit after the user brings the buttocks into close contact with the sliding unit; and

A monitor unit configured to transmit the cumulative distance and speed of the sliding unit moving along the rail unit;

The monitor unit is capable of analyzing the user's exercise pattern and providing exercise information to the user.

Rowing equipment for home training.

[Second Embodiment]

In the first embodiment,

A first control unit formed on the other side of the body unit; further comprising,

The first controller,

Grooves extending in the longitudinal direction; and

One end includes a first moving part movable in the longitudinal direction along the groove,

As the first moving part moves in the longitudinal direction along the groove part, the other side of the main body part is raised and lowered.

Rowing equipment for home training.

[Third Embodiment]

In the second embodiment,

A second control unit positioned above the first control unit; further comprising,

The second controller,

a second moving unit contacting the other end of the first moving unit;

A third moving part formed in contact with the upper part of the second moving part; includes,

When the first moving part moves forward along the groove part, the other side of the main body part is lifted.

Rowing equipment for home training.

[Fourth Embodiment]

In the third embodiment,

When the first moving part moves backward along the groove part, the other side of the main body part descends.

Rowing equipment for home training.

[Fifth Embodiment]

In the fourth embodiment,

A pinion gear may be formed at one end of the first moving unit,

A rack gear may be formed below the second moving unit,

The pinion gear and the rack gear are formed by mutually meshing

Rowing equipment for home training.

[Sixth Embodiment]

In the fifth embodiment,

When the other side of the body part is raised and lowered, the position of the second moving part is fixed

Rowing equipment for home training.

[Seventh Embodiment]

In the sixth embodiment,

The user can set a target amount of exercise through the monitor unit,

the monitor unit,

When the target exercise amount is not achieved, an alarm unit for displaying a notification;

Rowing equipment for home training.

The above-described present invention can be modeled as a computer readable code on a medium on which a program is recorded. The computer-readable medium includes all types of recording devices in which data readable by a computer system is stored. Examples of computer-readable media include Hard Disk Drive (HDD), Solid State Disk (SSD), Silicon Disk Drive (SDD), ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage device, etc. , and also includes those modeled in the form of carrier waves (eg, transmission over the Internet). Accordingly, the above detailed description should not be construed as limiting in all respects and should be considered illustrative. The scope of this specification should be determined by reasonable interpretation of the appended claims, and all changes within the equivalent scope of this specification are included in the scope of this specification.

Any or other embodiments of the present invention described above are not mutually exclusive or distinct. Certain or other embodiments of the present invention described above may be used in combination or combination of respective configurations or functions.

The above detailed description should not be construed as limiting in all respects and should be considered illustrative. The scope of the present invention should be determined by reasonable interpretation of the appended claims, and all changes within the equivalent scope of the present invention are included in the scope of the present invention.

10: rowing machine
20: cloud server
30: user terminal

Claims (7)

Rowing machine for user's rowing exercise; and
a cloud server that receives first information of the user sensed from the rowing machine, generates second information corresponding to the first information, and transmits the second information to the rowing machine to provide the second information to the user; Including,
The cloud server,
Performing a K-center clustering process based on the first information, and generating the second information based on a resultant value of the K-center clustering process;
The second information,
As content information for the rowing exercise, the degree of difficulty is adjusted based on the result value.
Rowing exercise system for home training using cloud server.
According to claim 1,
The system,
Further comprising: a user terminal receiving the first information and the second information from the cloud server;
Rowing exercise system for home training using cloud server.
According to claim 1,
The first information,
It includes at least one of a resistance value of the rowing machine, time information of the user's rowing exercise, and speed information measured during the user's rowing exercise.
Rowing exercise system for home training using cloud server.
According to claim 1,
The cloud server,
Third information according to a criterion set by the user is stored, the K-center clustering process is performed based on the first information and the third information, and the K-center clustering process is performed based on a result value of the K-center clustering process. generating second information;
Generating two clusters based on the K-center clustering process, and deriving a similarity based on the Euclidean distance between the two clusters,
Rowing exercise system for home training using cloud server.
According to claim 4,
The cloud server,
extracting an average value of each of the two clusters, extracting a final distance value between each average value, deriving the similarity based on the final distance value, and generating the second information based on the similarity,
The second information,
As content information for the rowing exercise, difficulty is adjusted based on the result value,
The cloud server,
Maintaining or lowering the difficulty level when the degree of similarity is greater than or equal to a predetermined value, and increasing the degree of difficulty when the degree of similarity is less than or equal to a predetermined value,
Rowing exercise system for home training using cloud server.
Receiving first information of a user sensed from a rowing machine;
performing a K-center clustering process based on the first information; and
Generating the second information based on the resultant value of the K-center clustering process; including,
Deriving the second information,
generating two clusters based on the K-center clustering process;
extracting an average value of each of the two clusters;
extracting a final distance value between the respective average values;
deriving the degree of similarity based on the final distance value;
Generating the second information based on the similarity; includes,
The second information,
As content information for the rowing exercise, the degree of difficulty is adjusted based on the degree of similarity.
How to provide services for home training for rowing workouts.
A non-transitory computer readable medium storing instructions,
The instructions, when executed by a processor, cause the processor to perform the method of claim 6.