KR20240034129A - Customized exercise sequence provision system and method - Google Patents

Abstract

The present invention provides a system for providing customized exercise sequences, transmits a diagnostic reference image to a user terminal to diagnose a user's movement, and obtains diagnostic movement information that is a measurement result of the user's movement performed using the diagnostic reference image. and a user motion information processing unit that processes and obtains a motion analysis result, acquires the motion analysis result to obtain muscles in need of functional improvement of the user, and acquires pre-stored exercises corresponding to the muscles in need of functional improvement to create a customized exercise sequence. An exercise sequence generator for generating and transmitting customized exercise information including the customized exercise sequence to the user terminal, obtaining performance information for the customized exercise information, and analyzing the performance information to determine if the customized exercise sequence is terminated. In this case, it may include an exercise sequence management unit that generates re-examination request information for re-obtaining the motion analysis results.

Description

Customized exercise sequence provision system and method}

The present invention relates to a system and method for providing a customized exercise sequence. In particular, the present invention relates to a system and method for providing a customized exercise sequence for each user using measurement information measured using a wearable device connected to a user terminal, and at the same time, using the exercise sequence in the wearable device. The present invention relates to a system and method for providing a customized exercise sequence that can perform EMS frequency stimulation for exercise assistance.

EMS is an abbreviation for Electrical Muscle Stimulation and is generally known as low-frequency stimulation. When an electric pulse is stimulated in a muscle, the muscle is stimulated according to the electrical signal. This is a technology that can be used to expect treatment, recovery, or improvement in exercise efficiency.

Currently, products such as low-frequency therapy devices or low-frequency massagers are sold on the market, and sales of low-frequency exercise assistance devices to increase exercise effectiveness are also increasing.

However, in the case of these conventional low-frequency exercise assistance devices, they are generally attached directly to the skin and operate by selecting a few preset frequencies regardless of the type of exercise, so they do not provide stimulation optimized for the type of exercise. In addition, when sweating occurs due to exercise, there is a problem that separation from the skin frequently occurs due to the nature of the product being directly adhered to the skin.

To overcome this, wearable devices that attach EMS devices to clothing to prevent them from leaving the user's skin have recently been developed, and technology that provides customized exercise using wearable devices is also being developed.

Therefore, the present invention proposes a system and method to solve the above problems.

Korean Patent Publication No. 10-1709196 (Publication Date: February 22, 2017)

In order to solve the problems of the prior art as described above, an embodiment of the present invention measures information related to the user's muscles using a wearable device, not only provides a customized exercise sequence for each user, but also provides exercise assistance to the user. We aim to provide a system and method for providing customized exercise sequences that can help muscle growth by performing EMS frequency stimulation for muscle growth.

According to one embodiment, in order to diagnose the user's motion, a diagnostic reference image is transmitted to the user terminal, and diagnostic motion information, which is a measurement result of the user's motion performed using the diagnostic standard image, is obtained and processed to operate the operation. a user motion information processing unit that obtains analysis results; an exercise sequence generator that obtains the motion analysis results to obtain muscles in need of function improvement for the user, and generates a customized exercise sequence by obtaining pre-stored exercises corresponding to the muscles in need of function improvement; and transmitting customized exercise information including the customized exercise sequence to the user terminal, obtaining performance information for the customized exercise information, analyzing the performance information, and when the customized exercise sequence is terminated, the motion analysis result. A customized exercise sequence providing system including an exercise sequence management unit that generates re-examination request information for re-acquiring may be provided.

In addition, the user motion information processing unit transmits the diagnostic reference image to the user terminal, and converts the amount of change in the user's preset muscle index into the diagnostic motion information using a sensor provided in a wearable device previously connected to the user terminal. a diagnostic operation information acquisition module; an exercise AI modeling module that obtains a diagnostic motion model by modeling the user's actual exercise motion by applying a preset machine-learned motion modeling algorithm using the diagnostic motion information; and a motion analysis result processing module that compares the diagnostic reference image and the diagnostic motion model and distinguishes between correct operation and malfunction of the diagnostic motion model based on the diagnostic reference image. A customized exercise sequence providing system including a is provided. It can be.

Additionally, the wearable device may be provided with a customized exercise sequence providing system including at least one conduction pad capable of transmitting EMS frequencies to the muscles in response to the preset customized exercise sequence.

In addition, the exercise sequence generator may include an exercise information storage module that matches and stores a plurality of exercises with the muscles in need of functional improvement; a muscle-need-improvement information acquisition module that acquires a malfunction among the motion analysis results and acquires the muscle causing the malfunction as the muscle in need of functional improvement; and a customized exercise sequence determination module that acquires at least one exercise including the muscle requiring functional improvement among the plurality of exercises and determines the customized exercise sequence using a preset exercise sequence configuration algorithm. A customized exercise sequence providing system comprising a. This can be provided.

In addition, the customized exercise sequence is created by determining the priority of muscles requiring functional improvement using the correct motion and the malfunction among the motion analysis results, and determining the order and number of stored exercises according to the priority. A system for providing exercise sequences may be provided.

In addition, the customized exercise information includes at least one of the customized exercise sequence, a guide image for the exercise included in the customized exercise sequence, diet information, and exercise schedule information, and the exercise sequence manager receives the information from the user terminal. a performance information acquisition module that acquires performance information; a performance information analysis module that analyzes the performance information to obtain a performance result for the customized exercise sequence of the user; and a re-examination request information generation module that generates and transmits the re-examination request information to the user motion information processing unit when the customized exercise sequence is terminated.

According to one embodiment, a diagnostic standard image is transmitted to the user terminal to diagnose the user's motion using the user motion information processor, and the diagnostic motion is a measurement result of the user's motion performed using the diagnostic standard image. Processing user motion information to obtain and process the information to obtain motion analysis results; Obtaining the motion analysis results using an exercise sequence generator to obtain muscles in need of function improvement of the user, and obtaining previously stored exercises corresponding to the muscles needing function improvement to generate an exercise sequence to generate a customized exercise sequence. ; And using an exercise sequence management unit, customized exercise information including the customized exercise sequence is transmitted to the user terminal, performance information for the customized exercise information is acquired, and the performance information is analyzed to determine if the customized exercise sequence is terminated. In this case, a method of providing a customized exercise sequence including the step of managing an exercise sequence that generates re-examination request information for re-obtaining the motion analysis results may be provided.

The system and method for providing a customized exercise sequence according to an embodiment of the present invention measures information related to the user's muscles using a wearable device, not only provides a customized exercise sequence for each user, but also provides EMS for exercise assistance to the user. Performing frequency stimulation has the effect of helping muscle growth.

Figure 1 is a diagram showing a system for providing customized exercise sequences according to an embodiment of the present invention.
FIG. 2 is a block diagram of the user motion information processing unit of FIG. 1.
Figure 3 is a block diagram of the exercise sequence generator of Figure 1.
Figure 4 is a block diagram of the exercise sequence management unit of Figure 1.
Figure 5 is a flowchart of a method for providing a customized exercise sequence according to an embodiment of the present invention.
FIG. 6 is a flowchart of steps for processing user motion information in FIG. 5.
Figure 7 is a flowchart of steps for generating the exercise sequence of Figure 5.
Figure 8 is a flowchart of steps for managing the exercise sequence of Figure 5.

Hereinafter, with reference to the attached drawings, embodiments of the present invention will be described in detail so that those skilled in the art can easily implement the present invention. The present invention may be implemented in many different forms and is not limited to the embodiments described herein. In order to clearly explain the present invention in the drawings, parts not related to the description are omitted, and identical or similar components are given the same reference numerals throughout the specification.

FIG. 1 is a diagram showing a system for providing a customized exercise sequence according to an embodiment of the present invention, FIG. 2 is a block diagram of the user motion information processing unit of FIG. 1, and FIG. 3 is a block diagram of the exercise sequence generator of FIG. 1, Figure 4 is a block diagram of the exercise sequence management unit of Figure 1.

Hereinafter, the customized exercise sequence providing system 1 according to an embodiment of the present invention will be described in detail using FIGS. 1 to 4.

The customized exercise sequence providing system 1 according to an embodiment of the present invention is configured to be connected to the user terminal 2 and the wearable device 3. Here, preferably, the user terminal 2 and the wearable device 3 are connected to each other, and the customized exercise sequence providing system 1 is connected to the user terminal 2 through a wired or wireless communication network, so that the customized exercise sequence providing system 1 ) and the wearable device 3 may be formed to be indirectly connected.

In one embodiment of the present invention, the wearable device 3 may be provided with at least one conduction pad capable of transmitting EMS frequency waves to muscles. Also, preferably, the wearable device 3 may measure information related to the user's muscles and obtain information about which muscles the user is currently making and which movements. To this end, the wearable device 3 may include, for example, a sensor capable of measuring muscle contraction/relaxation and/or a muscle density measurement sensor. Referring to FIG. 1, the customized exercise sequence providing system 1 according to an embodiment of the present invention is formed to include a user motion information processing unit 11, an exercise sequence creation unit 13, and an exercise sequence management unit 15. .

The user motion information processing unit 11 transmits a diagnostic reference image to the user terminal 2 to diagnose the user's motion, obtains diagnostic motion information that is a measurement result of the user's motion performed using the diagnostic standard image, and It is formed to process and obtain motion analysis results. To this end, the user motion information processing unit 11 may be formed to include a diagnostic motion information acquisition module 111, a motion AI modeling module 113, and a motion analysis result processing module 115, as shown in FIG. 2 .

The diagnostic motion information acquisition module 111 transmits a diagnostic standard image to the user terminal 2 and determines the amount of change in the user's preset muscle index using a sensor provided in the wearable device 3 connected to the user terminal 2. It is configured to obtain diagnostic operation information. In one embodiment of the present invention, the wearable device 3 may be formed in the form of a suit, as shown in FIG. 1, and a sensor provided to contact the skin may be present in the suit. The diagnostic motion information acquisition module 111 of an embodiment of the present invention may be configured to obtain the amount of change in a preset muscle index from such a sensor as diagnostic motion information. In the case of the preset muscle index, it may be the degree of contraction/relaxation or muscle density of the muscle that can be provided in the wearable device 3, as described above.

The exercise AI modeling module 113 is configured to perform modeling and obtain a diagnostic motion model by applying the user's actual exercise motion to a preset machine-learned motion modeling algorithm using diagnostic motion information. A preset machine-learned motion modeling algorithm may be provided to reflect the measurement information of the diagnostic motion information and infer the motion that generated the corresponding measurement information performed by the user.

The motion analysis result processing module 115 is configured to compare the diagnostic reference image and the diagnostic motion model, and distinguish between correct operation and malfunction of the diagnostic motion model based on the diagnostic standard image. The diagnostic reference image and diagnostic motion model include at least one motor motion. As described above, the diagnostic reference image is a reference image provided to the user to perform diagnostic operation information. The user checks the diagnostic standard image through the user terminal 2, etc., performs the operation of the diagnostic standard image while wearing the wearable device 3, and performs at least one operation included in the diagnostic standard image. The resulting diagnostic motion information is transmitted to the diagnostic motion information acquisition module 111 and generated as a diagnostic motion model in the exercise AI modeling module 113.

Therefore, the diagnostic reference image and the diagnostic motion model include the same motion, and the motion analysis result processing module 115 compares the diagnostic motion model based on the diagnostic reference image to determine whether each motion included in the diagnostic motion model is a normal motion. It can be configured to check whether it is a malfunction and to generate a motion analysis result that is a result of determining a correct operation/malfunction for each operation of the diagnostic motion model.

A normal motion may be a case where the diagnostic reference image and the diagnostic motion model make the same motion, and a malfunction may be a case where the diagnostic reference image and the diagnostic motion model show a difference greater than a preset standard.

Meanwhile, Figure 3 shows an exercise sequence generator 13 according to an embodiment of the present invention. The exercise sequence generator 13 is configured to obtain motion analysis results to obtain muscles in need of functional improvement for the user, and to generate a customized exercise sequence by obtaining pre-stored exercises corresponding to the muscles in need of functional improvement. As shown in FIG. 3, the exercise sequence generator 13 according to an embodiment of the present invention includes an exercise information storage module 131, a muscle information acquisition module 133 requiring improvement, and a customized exercise sequence determination module 135. It can be included.

The exercise information storage module 131 is configured to store a plurality of exercises by matching them with muscles in need of functional improvement. To put it simply, the exercise information storage module 131 performs the same role as a database. When a user performs a specific exercise, the exercise uses at least one muscle. In other words, all exercises use at least one muscle for each exercise, and the exercise information storage module 131 matches (labels) the muscles used by each exercise for a plurality of exercises and stores them, and using this, the muscles used in each exercise are used. The customized exercise sequence determination module 135 can determine a customized exercise sequence by extracting exercises that use muscles corresponding to muscles that require functional improvement.

The muscle needing improvement information acquisition module 133 is configured to obtain malfunctions from the motion analysis results and define the muscles causing the malfunctions as muscles needing functional improvement. As described above, malfunction refers to an operation in which a difference occurs between a reference operation and a preset reference value. According to an embodiment of the present invention, the muscle needing improvement information acquisition module 133 may acquire muscles needing functional improvement using both correct and incorrect actions as an example.

As an example, assuming that correct action A uses the C, D, E, and F muscles, and incorrect action B uses the C, D, E, and G muscles, it is assumed that the muscles used in correct action A work normally even in incorrect action B. can do. Therefore, the muscle needing improvement information acquisition module 133 may determine that the G muscle, which is not included in the static action A, is the main muscle factor causing the malfunction, and the muscle needing improvement information acquisition module 133 may determine G as a need for functional improvement. It can be selected by muscle.

The customized exercise sequence determination module 135 is configured to determine a customized exercise sequence by obtaining at least one exercise including a muscle requiring functional improvement among a plurality of exercises and applying it to a preset exercise sequence configuration algorithm. When the customized exercise sequence determination module 135 acquires the muscle in need of function improvement selected in the muscle needing improvement information acquisition module 133, the exercise required to develop the acquired muscle in need of function improvement is retrieved from the exercise information storage module 131. It can be obtained. The acquired necessary exercises may be included as constituent exercises of a customized exercise sequence through a preset exercise sequence composition algorithm.

At this time, the customized exercise sequence determination module 135 determines the priority of muscles requiring functional improvement using, for example, correct movements and incorrect movements among the motion analysis results, and determines the order and number of stored exercises according to the priority to perform customized exercise. You can also create sequences.

For example, if muscles needing functional improvement appear overlapping, the order in which the number of overlaps increases may indicate that the muscle in question is a muscle in need of priority improvement, and the order in which the number of overlaps decreases may indicate that the muscles are less important for improvement. It could mean something. Therefore, the customized exercise sequence determination module 135 according to an embodiment of the present invention can determine the exercise priority of muscles needing functional improvement using the number of duplicates of muscles needing functional improvement obtained through malfunction, through which the customized exercise sequence determination module 135 can determine the exercise priority of muscles needing functional improvement. You can also create exercise sequences.

Also, as another example, the customized exercise sequence determination module 135 may use a preset important muscle ranking to create a customized exercise sequence. The preset important muscle ranking may be a ranking according to the frequency of use in the body. Depending on the administrator's settings, the ranking may be determined starting from the most frequently used muscles, or the ranking may be determined from the muscles used less frequently.

More specifically, muscles that are used frequently in the user's body may be important core muscles, and therefore, malfunctioning core muscles may be a factor that causes serious problems in body balance. If a manager approaches it from this perspective, he or she can set the muscles that are used most frequently as a priority for functional improvement.

However, muscles in the user's body that are used less frequently are in areas that the user neglects to manage, which means there is a possibility that they will not be managed. If managers approach it from this perspective, they can set less frequently used muscles as priorities for functional improvement.

Finally, the exercise sequence management unit 15 according to an embodiment of the present invention transmits customized exercise information including a customized exercise sequence to the user terminal 2, obtains performance information about the customized exercise information, and provides the performance information. When the customized exercise sequence is completed, re-examination request information is generated to re-acquire the motion analysis results. For this purpose, the exercise sequence management unit 15 may be formed to include a performance information acquisition module 151, a performance information analysis module 153, and a retest request information generation module 155, as shown in FIG. 4. Also, here, the customized exercise information includes at least one of a customized exercise sequence, a guide image for exercise included in the customized exercise sequence, diet information, and exercise schedule information.

The performance information acquisition module 151 is configured to obtain performance information from the user terminal 2. The performance information may include information obtained from the wearable device 3 about the exercise performed by the user for customized exercise information or diet information directly input by the user through the user terminal 2.

When performance information is acquired, the performance information analysis module 153 is configured to analyze the obtained performance information. The performance information analysis module 153 can obtain performance results for the user's customized exercise sequence by analyzing the performance information. The performance result refers to how accurately the user performed the customized exercise sequence.

Meanwhile, when the customized exercise sequence is terminated, the retest request information generation module 155 according to an embodiment of the present invention obtains performance information input through the user terminal 2, the user motion information processing unit 11 ) to generate and transmit re-inspection request information.

Re-examination request information is generated to reset the customized exercise sequence using the user's changing body information after the user performs the customized exercise sequence. The re-examination request information generation module 155 generates re-examination request information and transmits it to the user motion information processing unit 11. In one embodiment of the present invention, the re-examination request information generation module 155 continuously checks the performance results after the user performs the customized exercise sequence and provides customized An exercise sequence may be changed and provided to the user in response to changes in the user's body.

Meanwhile, Figures 4 to 8 show a method 10 for providing a customized exercise sequence according to an embodiment of the present invention. FIG. 5 is a flowchart of a method for providing a customized exercise sequence according to an embodiment of the present invention, FIG. 6 is a flowchart of steps for processing user motion information in FIG. 5, and FIG. 7 is a flowchart of steps for generating an exercise sequence in FIG. 5. It is a flowchart, and Figure 8 is a flowchart of steps for managing the exercise sequence of Figure 5.

Hereinafter, for convenience of explanation, the method 10 for providing a customized exercise sequence according to an embodiment of the present invention will be described as using the customized exercise sequence providing system 1 of FIG. 1, but the present invention is not limited thereto.

The method 10 for providing a customized exercise sequence according to an embodiment of the present invention is designed to be connected to the user terminal 2 and the wearable device 3. Here, preferably, the user terminal 2 and the wearable device 3 are connected to each other, and the method 10 for providing a customized exercise sequence uses the customized exercise sequence providing system 1 to connect the user terminal 2 and a wired or wireless communication network. The wearable device 3 may be configured to be indirectly connected by being connected through .

In one embodiment of the present invention, the wearable device 3 may be provided with at least one conduction pad capable of transmitting EMS frequency waves to muscles. Also, preferably, the wearable device 3 may measure information related to the user's muscles and obtain information about which muscles the user is currently making and which movements. To this end, the wearable device 3 may include, for example, a sensor capable of measuring muscle contraction/relaxation and/or a muscle density measurement sensor. Referring to FIG. 5, the method 10 for providing a customized exercise sequence according to an embodiment of the present invention includes a step of processing user motion information (S11), a step of generating an exercise sequence (S13), and a step of managing the exercise sequence. It is formed to include step S15.

In the step S11 of processing user motion information, a diagnostic standard image is transmitted to the user terminal 2 to diagnose the user's motion using the user motion information processing unit 11, and the diagnostic standard image is performed using the user motion information processing unit 11. It is formed to acquire and process diagnostic motion information, which is a measurement result of motion, and obtain motion analysis results. To this end, the step of processing user motion information (S11) includes acquiring diagnostic motion information (S111), performing motion AI modeling (S113), and processing motion analysis results as shown in FIG. 6 (S113). S115).

In the step of acquiring diagnostic motion information (S111), a diagnostic reference image is transmitted to the user terminal 2, and the user's preset muscle index is measured using a sensor provided in the wearable device 3 connected to the user terminal 2. It is configured to obtain the amount of change as diagnostic operation information. In one embodiment of the present invention, the wearable device 3 may be formed in the form of a suit, as shown in FIG. 1, and a sensor provided to contact the skin may be present in the suit. The step (S111) of acquiring diagnostic motion information in an embodiment of the present invention may be configured to obtain the amount of change in a preset muscle index from such a sensor as diagnostic motion information. In the case of the preset muscle index, it may be the degree of contraction/relaxation or muscle density of the muscle that can be provided in the wearable device 3, as described above.

The step of performing exercise AI modeling (S113) is formed to perform modeling by applying the user's actual exercise motion to a preset machine learned exercise modeling algorithm using diagnostic motion information and obtain a diagnostic motion model. A preset machine-learned motion modeling algorithm may be provided to reflect the measurement information of the diagnostic motion information and infer the motion that generated the corresponding measurement information performed by the user.

The step S115 of processing the motion analysis results may be configured to compare the diagnostic reference image and the diagnostic motion model and distinguish between correct operation and malfunction of the diagnostic motion model based on the diagnostic standard image. The diagnostic reference image and diagnostic motion model include at least one motor motion. As described above, the diagnostic reference image is a reference image provided to the user to perform diagnostic operation information. The user checks the diagnostic standard image through the user terminal 2, etc., performs the operation of the diagnostic standard image while wearing the wearable device 3, and performs at least one operation included in the diagnostic standard image. The resulting diagnostic motion information is obtained in the step of acquiring diagnostic motion information (S111) and generated as a diagnostic motion model through the step of performing exercise AI modeling (S113).

Therefore, the diagnostic reference image and the diagnostic motion model include the same motion, and the step of processing the motion analysis result (S115) compares the diagnostic motion model based on the diagnostic reference image to determine whether each motion included in the diagnostic motion model is determined. It can be configured to determine whether it is an operation or a malfunction, and to generate a motion analysis result that is a result of determining a correct operation/malfunction for each operation of the diagnostic motion model.

A normal motion may be a case where the diagnostic reference image and the diagnostic motion model make the same motion, and a malfunction may be a case where the diagnostic reference image and the diagnostic motion model show a difference greater than a preset standard.

Meanwhile, Figure 7 shows a step (S13) of generating an exercise sequence according to an embodiment of the present invention. In the step of generating an exercise sequence (S13), the motion analysis results are obtained through the exercise sequence generator 13 to obtain muscles that require improvement in the user's function, and previously stored exercises corresponding to the muscles in need of function improvement are acquired to provide customized exercise. It is formed to create a sequence. As shown in Figure 7, the step of generating an exercise sequence according to an embodiment of the present invention (S13) includes a step of storing exercise information (S131), a step of acquiring muscle information requiring improvement (S133), and a customized exercise sequence. It may be configured to include a step of determining (S135).

The step of storing exercise information (S131) is performed to store a plurality of exercises by matching them with muscles that require functional improvement. To put it simply, the step of storing exercise information (S131) performs the same role as a database. When a user performs a specific exercise, the exercise uses at least one muscle. In other words, all exercises use at least one muscle for each exercise, and in the step of storing exercise information (S131), the muscles used by each exercise are matched (labeled) for a plurality of exercises and stored. In the step of determining a customized exercise sequence (S135), which will be described later, a customized exercise sequence can be determined by extracting exercises that use muscles corresponding to muscles that require functional improvement.

The step of acquiring information on muscles needing improvement (S133) is configured to obtain malfunctions among the motion analysis results and define the muscles causing the malfunctions as muscles needing functional improvement. As described above, malfunction refers to an operation in which a difference occurs between a reference operation and a preset reference value. According to an embodiment of the present invention, the step of acquiring information on muscles needing improvement (S133) may, as an example, obtain muscles needing functional improvement using both correct and incorrect actions.

As an example, assuming that correct action A uses the C, D, E, and F muscles, and incorrect action B uses the C, D, E, and G muscles, it is assumed that the muscles used in correct action A work normally even in incorrect action B. can do. Therefore, the step of acquiring information on muscles needing improvement (S133) can determine that the G muscle, which is not included in the normal movement A, is the main muscle factor causing malfunction, and the step of acquiring information on muscles needing improvement (S133) can determine that the G muscle can be selected as a muscle in need of functional improvement.

The step of determining a customized exercise sequence (S135) is performed to determine a customized exercise sequence by obtaining at least one exercise including a muscle requiring functional improvement among a plurality of exercises and applying it to a preset exercise sequence configuration algorithm. In the step of determining a customized exercise sequence (S135), if the muscle in need of function improvement selected in the step of acquiring muscle information in need of improvement (S133) is acquired, the exercise information for the exercise required to develop the acquired muscle in need of function improvement is stored. It can be obtained from the stored information in step S131. The acquired necessary exercises may be included as constituent exercises of a customized exercise sequence through a preset exercise sequence composition algorithm.

At this time, in the step of determining a customized exercise sequence (S135), as an example, the priority of muscles requiring functional improvement is determined using correct movements and incorrect movements among the motion analysis results, and the order and number of stored exercises are determined according to the priority. You can also create custom exercise sequences.

For example, if muscles needing functional improvement appear overlapping, the order in which the number of overlaps increases may indicate that the muscle in question is a muscle in need of priority improvement, and the order in which the number of overlaps decreases may indicate that the muscles are less important for improvement. It could mean something. Therefore, in the step (S135) of determining a customized exercise sequence according to an embodiment of the present invention, the exercise priority of the muscle in need of function improvement can be determined using the overlapping number of muscles in need of function improvement obtained through malfunction, You can also create customized exercise sequences.

Also, as another example, the step of determining a customized exercise sequence (S135) may use a preset important muscle ranking to create a customized exercise sequence. The preset important muscle ranking may be a ranking according to the frequency of use in the body. Depending on the administrator's settings, the ranking may be determined starting from the most frequently used muscles, or the ranking may be determined from the muscles used less frequently.

More specifically, muscles that are used frequently in the user's body may be important core muscles, and therefore, malfunctioning core muscles may be a factor that causes serious problems in body balance. If a manager approaches it from this perspective, he or she can set the muscles that are used most frequently as a priority for functional improvement.

However, muscles in the user's body that are used less frequently are in areas that the user neglects to manage, which means there is a possibility that they will not be managed. If managers approach it from this perspective, they can set less frequently used muscles as priorities for functional improvement.

Lastly, in the step of managing the exercise sequence according to an embodiment of the present invention (S15), customized exercise information including the customized exercise sequence is transmitted to the user terminal 2 using the exercise sequence management unit 15, and the customized exercise is performed. It is configured to acquire performance information about the information, analyze the performance information, and generate re-examination request information to re-acquire the motion analysis results when the customized exercise sequence is terminated. The step of managing the exercise sequence (S15) includes a step of acquiring performance information (S151), a step of analyzing the performance information (S153), and a step of generating retest request information (S155) as shown in FIG. 8. It can be configured to include. Also, here, the customized exercise information includes at least one of a customized exercise sequence, a guide image for exercise included in the customized exercise sequence, diet information, and exercise schedule information.

The step of acquiring performance information (S151) is designed to obtain performance information from the user terminal 2. The performance information may include information obtained from the wearable device 3 about the exercise performed by the user for customized exercise information or diet information directly input by the user through the user terminal 2.

If the performance information is obtained, the step of analyzing the performance information (S153) is configured to analyze the obtained performance information. In the step S153 of analyzing performance information, performance results for the user's customized exercise sequence can be obtained by analyzing the performance information. The performance result refers to how accurately the user performed the customized exercise sequence.

Meanwhile, in the step (S155) of generating re-examination request information according to an embodiment of the present invention, when the customized exercise sequence is terminated, that is, when performance information input through the user terminal 2 is obtained, user motion information is generated. In the processing step (S11), re-inspection request information is created and transmitted.

Re-examination request information is generated to reset the customized exercise sequence using the user's changing body information after the user performs the customized exercise sequence. The step of generating re-examination request information (S155) generates the re-examination request information and transmits it to the step of processing user motion information (S11), thereby providing the performance results after the user performs the customized exercise sequence in one embodiment of the present invention. It is continuously checked and customized exercise sequences can be provided to the user by changing in response to changes in the user's body.

Although one embodiment of the present invention has been described above, the spirit of the present invention is not limited to the embodiment presented in the present specification, and those skilled in the art who understand the spirit of the present invention will understand that the components Other embodiments can be easily proposed by adding, changing, deleting, adding, etc., but this will also be said to be within the scope of the present invention.

The present invention's customized exercise sequence providing system and method can be used in various exercise sequence providing systems and methods.

1: Customized exercise sequence provision system
10: How to Deliver Custom Workout Sequences
11: User motion information processing unit
111: Diagnostic operation information acquisition module
113: Movement AI modeling module
115: Motion analysis result processing module
13: Exercise sequence creation unit
131: exercise information storage module
133: Muscle information acquisition module that needs improvement
135: Custom exercise sequence determination module
15: Movement sequence management unit
151: Performance information acquisition module
153: Performance information analysis module
155: Re-inspection request information creation module
2: User terminal
3: Wearable device

Claims (7)

A user transmits a diagnostic reference image to a user terminal to diagnose the user's motion, obtains and processes diagnostic motion information that is a measurement result of the user's motion performed using the diagnostic standard image, and obtains a motion analysis result. motion information processing unit;
an exercise sequence generator that obtains the motion analysis results to obtain muscles in need of function improvement for the user, and generates a customized exercise sequence by obtaining pre-stored exercises corresponding to the muscles in need of function improvement; and
Customized exercise information including the customized exercise sequence is transmitted to the user terminal, performance information for the customized exercise information is acquired, the performance information is analyzed, and when the customized exercise sequence is terminated, the motion analysis result is obtained. Includes; an exercise sequence management unit that generates re-examination request information for re-acquisition;
A system that provides customized exercise sequences. According to claim 1,
The user operation information processing unit
a diagnostic motion information acquisition module that transmits the diagnostic reference image to the user terminal and acquires the amount of change in the user's preset muscle index as the diagnostic motion information using a sensor provided in a wearable device connected to the user terminal;
an exercise AI modeling module that obtains a diagnostic motion model by modeling the user's actual exercise motion using a preset machine-learned motion modeling algorithm using the diagnostic motion information; and
A motion analysis result processing module that compares the diagnostic reference image and the diagnostic motion model and distinguishes between correct operation and malfunction of the diagnostic motion model based on the diagnostic reference image; comprising a.
A system that provides customized exercise sequences. According to clause 2,
The wearable device is,
Equipped with at least one conduction pad capable of transmitting EMS frequency to the muscle in response to the preset customized exercise sequence
A system that provides customized exercise sequences. According to claim 1,
The exercise sequence generator,
an exercise information storage module that stores a plurality of exercises by matching them with the muscles in need of functional improvement;
a muscle-need-improvement information acquisition module that acquires a malfunction among the motion analysis results and acquires the muscle causing the malfunction as the muscle in need of functional improvement; and
A customized exercise sequence determination module that obtains at least one exercise including the muscle requiring functional improvement among the plurality of exercises and determines the customized exercise sequence using a preset exercise sequence configuration algorithm.
A system that provides customized exercise sequences. According to clause 4,
The customized exercise sequence is generated by determining the priority of muscles requiring functional improvement using the correct motion and the malfunction among the motion analysis results, and determining the order and number of stored exercises according to the priority.
A system that provides customized exercise sequences. According to claim 1,
The customized exercise information includes at least one of the customized exercise sequence, a guide image for the exercise included in the customized exercise sequence, diet information, and exercise schedule information,
The exercise sequence management unit,
a performance information acquisition module that obtains the performance information from the user terminal;
a performance information analysis module that analyzes the performance information to obtain a performance result for the customized exercise sequence of the user; and
When the customized exercise sequence is terminated, a re-examination request information generation module that generates and transmits the re-examination request information to the user motion information processing unit; comprising a.
A system that provides customized exercise sequences. Using the user motion information processing unit, a diagnostic reference image is transmitted to the user terminal to diagnose the user's motion, and diagnostic motion information, which is a measurement result of the user's motion performed using the diagnostic standard image, is acquired and processed. Processing user motion information to obtain motion analysis results;
Obtaining the motion analysis results using an exercise sequence generator to obtain muscles in need of function improvement for the user, and obtaining pre-stored exercises corresponding to the muscles in need of function improvement to generate an exercise sequence to generate a customized exercise sequence. ; and
Using an exercise sequence management unit, customized exercise information including the customized exercise sequence is transmitted to the user terminal, performance information for the customized exercise information is acquired, and the performance information is analyzed to terminate the customized exercise sequence. , managing a movement sequence that generates re-examination request information for re-obtaining the movement analysis results; comprising
How to provide personalized exercise sequences.