KR20160054325A - Management system and the method for customized personal training - Google Patents

Abstract

The present invention relates to a customized personal training managing system and a method thereof capable of setting a target and suitable exercising plan for each individual by using professional knowledge of trainers and various smart technologies to help users to exercise in a suitable way and in a way that each individual pursues. The present invention provides: standardized data written by professional trainers of each exercise based on users′ needs; customized exercising plans and diet plans for each individual based on data on physical information and changes happening in the user′s body, provided directly for professional trainers; and various types of feedbacks instantaneously about the posture, whether or not the user smokes or drinks based on the bidirectional sensor data log. By providing the same, the present invention can be usefully utilized for users to do exercise optimally.

Description

TECHNICAL FIELD [0001] The present invention relates to a personalized training management system and method,

The present invention relates to a customized personal training management system and method, and more particularly, to provide a personalized training management system and method, and more particularly, to provide a personalized exercise program using expert knowledge of various fields of expert trainers and various smart technologies, And a personalized training management system and method capable of selecting and exercising various types of exercises preferred by the user.

Hyundai has developed a variety of smart communication technologies and sensor technologies for the Internet.

Techniques for measuring the user's momentum and health state using various technologies have been developed. For example, Japanese Patent Application Laid-Open No. 10-2013-0106921 has been proposed. This is because the user receives the exercise program based on the user information from the trainer console through the provision of the exercise management method, the apparatus and the system for the exercise without the help of the trainer, The state information indicating the current health state of the user using the health apparatus is received from the state detection sensor and it is determined whether or not the user's health is abnormal based on the state information.

Using these techniques, various exercise methods are coming out. However, users have different physical characteristics, preference exercise, their current state, their changing state by doing exercise, It is very difficult for the individual to know whether or not he or she is doing the exercise, and the difference between the exercise goal that he / she wants to realize and the exercise goal that he / she can realize can also cause various side effects. It is also a fact that it is not easy for modern people who are busy to carry out all the exercises in the right way, individually, in terms of motivation.

I hire a personal trainer to meet all of these, to learn what exercise is right for me, what my physical condition is, what I am doing right exercise, and to maximize my workout.

However, hiring a personal trainer can be very costly and can lead to unsatisfactory results depending on the trainer's variation, and there are limits to the number of individuals trained to manage. Only a handful of people are doing exercise in the wrong way, so many people are giving up exercise in the middle.

Accordingly, the present invention is to solve the problems of the related art, and it is an object of the present invention to provide an exercise optimized for each user by using expert knowledge of a professional trainer and various smart technologies, The present invention is directed to a personalized training management system and method capable of helping a user to perform exercises with ease.

In addition, the present invention enables a professional trainer in various fields to select and perform various exercises preferred by individuals without regard to a place, and to manage a user in a more efficient manner with a small change in a general health club The present invention is directed to a personalized training management system and method capable of transforming a personal training management system into a real smart fitness club.

In order to solve such a technical problem,

Information on the training method of the trainer, user information of the user, analysis information of the user's momentum, and analyzes the information on the training method of the trainer matched to the user information to generate and manage customized training plan information for each user A cloud server; A trainer terminal for uploading information on a training method of a trainer to the cloud server; The user transmits user information such as food he / she actually consumed, his / her body weight and necessary information to the cloud server, loads customized training plan information from the cloud server, compares the training information according to the customized training plan, And a device-attached terminal attached to a user terminal or a fitness device for generating analysis information and transmitting the analysis information to the cloud server.

At this time, the cloud server receives, from the trainer terminal, motion capture marker information, motion capture coordinate data, motion data, heartbeat data, Information about a training method including a motion video and a recorded voice coaching file is received and registered in a database.

In addition, the cloud server may receive information on the presence or absence of a disease, weight, preferred exercise intensity, exercise frequency, presence of allergy, exercise place, body fat, exercise time, lifestyle, The user information including the physical condition is received and registered in the database.

The user terminal or the device-attached terminal may further include a sensing unit that measures a user's body change according to a user's motion, a wireless communication unit that transmits a body change signal measured by the sensing unit to a user terminal, And a controller for controlling the wireless communication unit, and generates and transmits momentum analysis information to the cloud server by analyzing the received training detection information in accordance with the customized training plan information.

The present invention also provides

(A) receiving and registering information on a training method from a trainer terminal in a cloud server; (B) when user information is received from a device-attached terminal installed in a user terminal or a fitness equipment in the cloud server, information on matching training methods is analyzed to generate and register customized training plan information, Providing the terminal with the customized training plan information; (C) The cloud server receives the training detection information of the plurality of training detection devices from the user terminal or the device-attached terminal, and analyzes whether the training is sequentially performed according to the customized training plan information to receive and register the generated momentum analysis information step; (D) The cloud server provides the requested momentum analysis information from the trainer terminal.

At this time, the step (A) may include a step of acquiring motion capture marker information related to the motion method and the motion of the trainer, a plurality of portable wearable sensing data, heartbeat data, a voice coaching file, And information about a training method including at least one of reference motion data such as an instruction, an instruction, and various kinds of tips, attention messages, and photograph data, is input to the cloud server through the trainer terminal.

In the step (B), the user uses the user terminal to determine the presence or absence of an individual's disease, weight, preferred exercise intensity, presence of allergies, exercise frequency, exercise place, body fat, exercise time, lifestyle, And registering user information including at least one of the physical states in the cloud server to create an account.

In addition, the step (B) may include automatically selecting and extracting exercise methods matched according to body type, setting period, exercise time, and goal on the basis of user information in the cloud server to generate and register customized training plan information, Is connected to the cloud server by using the trainer terminal, directly inputs his / her exercise data, generates and registers customized training plan information optimized for the user, and provides the training plan information to the user terminal or the device-attached terminal.

In the step (C), the user terminal receives the training detection information of the plurality of training sensing devices, analyzes whether the training is sequentially performed according to the customized training plan information, and transmits the generated momentum analysis information to the cloud server And registering the same.

In addition, in the step (C), the motion capture marker information and the motion capture coordinate data, which are reference data included in the customized training plan information, the portable wearable sensing data according to the exercise type, the heartbeat data And extracts the marker portion and coordinate data of the most important motion motion in each selection motion to obtain the specified selection data value of each motion motion and the locus data of the coordinates, the vector data, and the individual voice By applying multiple algorithms to calculate the time difference data based on the portable wearable sensing data and the heartbeat sensor data according to the type of exercise to be the correct selection criteria entered through the coaching file and programming, the final matching data is automatically extracted Generating momentum analysis information; It characterized in that it comprises.

In the step (C), the user terminal or the device-attached terminal computes the common data and the common part according to the customized training plan information, extracts the common denominator to see if the operation is well followed, And converting the matching data value into consumed calories and scores to generate momentum analysis information and displaying the data in a graphic or voice form.

In addition, the step (C) may include real-time motion, environment data and augmented reality collected as training detection information of a plurality of training detection devices in the user terminal or device-attached terminal, information and name of the exercise device recognized through the object recognition camera Additional information is received from the cloud server including the setting method, the number of times of exercise set to be carried out, the running time, the temperature and humidity, the ultraviolet ray index, the movement / activity index, the running environment, And displaying the matched information.

In step (D), the cloud server provides individual momentum analysis information of each user upon request from the trainer terminal, and provides the user's momentum analysis information through an analysis algorithm according to a trainer setting or a method automatically set in the cloud server Analyzing and providing risk feedback or excess achievement feedback and changing the trainer according to the user's selection or automatically providing the customized training plan information to the user terminal or the device-attached terminal by changing the exercise intensity, the exercise type, or the like; .

Also, in the step (A), the information on the training method includes information on individual and group-based training methods, and in the step (B), the device- The personalized training plan information including the voice coaching file and the plan for the dynamic exercise is transmitted to the user terminal.

In addition, in step (C), the device-attached terminal recognizes the user through beacon communication based on a Bluetooth 4.0 (BLE) protocol-based short-range wireless communication device and transmits the beacon signal through the attachment terminal, personal wearable device, And displaying the moving copper line by display, vibration, sound, LED change, or the like.

The steps (A), (B), (C), and (D) are provided through one application, and the application is stored in a cloud server.

According to the present invention, it is possible to generate reference data of a plurality of professional trainers for various exercise items according to the user's needs, and various data obtained according to the process of changing the user's body information, Based on this data, it provides personalized exercise plan and diet based on this data. Based on trainer and user bi-directional sensor data log, it is possible to prevent smoking, alcohol consumption, athletic posture correction, It is useful to provide the right exercise optimized for each user by immediately providing various feedbacks that can be generated by doing so.

1 is an overall configuration diagram illustrating an example of a personalized personal training management system according to the present invention.
2 is a motion capture configuration diagram of a trainer according to the present invention.
3 is a configuration diagram of providing motion capture data according to the present invention.
4 is a data configuration diagram of a personalized personal training management system according to the present invention.
5 is a view for explaining synchronization between a user terminal and a device-attached terminal according to the present invention.
6 is a conceptual diagram for providing the user's sense information to the trainer according to the present invention.
FIG. 7 is a diagram illustrating an example of expressing a movement movement line of a user according to the present invention to a user terminal or a device-attached terminal.
FIG. 8 is a diagram illustrating an example of generating momentum analysis information of a user terminal or a device-attached terminal according to the present invention.
9 is a diagram showing an example of matching between a device-attached terminal and a cloud server according to the present invention.
10 is a view showing an example of a movement of a user according to the present invention.
11 is a diagram showing an example of a dynamic motion according to the present invention.
12 is a diagram illustrating an example of providing feedback of a trainer to a user's movement according to the present invention.
13 is a flow chart of data processing for customized personal training management according to the present invention.
FIG. 14 is a flowchart illustrating an example of calculating a common denominator by computing common data and matching data according to customized training plan information according to the present invention.
FIG. 15 is a diagram illustrating an example of displaying information to be matched by receiving various additional information recognized by the AR object and the object recognition camera in the cloud server according to the present invention.

DETAILED DESCRIPTION OF EXEMPLARY EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

While the present invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not limited to the disclosed embodiments. It is to be understood, however, that the invention is not intended to be limited to the particular forms disclosed, but on the contrary, is intended to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention. In the drawings, the same reference numerals are used for the same reference numerals, and in particular, the numerals of the tens and the digits of the digits, the digits of the tens, the digits of the digits and the alphabets are the same, Members referred to by reference numerals can be identified as members corresponding to these standards.

1, the personalized personal training management system according to the present invention registers and manages information on the training method of the trainer 1, individual user information of the user 2, and momentum analysis information of the user, A cloud server 100 for generating and managing customized training plan information for each user by analyzing information on a training method of the trainer 1; The trainer 1 obtains information on training methods such as motion capture marker information, motion capture coordinate data, heartbeat data, photographed motion video, recorded voice coaching file, etc. for each individual, group, A trainer terminal 200 for uploading to the cloud server 100; The user 2 transmits user information such as the food he / she actually consumed, his / her body weight, necessary information, etc. to the cloud server 100, loads customized training plan information from the cloud server 100, And transmits the generated momentum analysis information to the cloud server 100. The user terminal 300 or the device-attached terminal 400 transmits the analysis information to the cloud server 100.

At this time, the user terminal 300 receives the training detection information of the plurality of training sensing apparatuses 500 according to the user's training, analyzes whether the training is sequentially performed according to the customized training plan information, generates momentum analysis information, And transmits it to the cloud server 100.

Hereinafter, the configuration of each part of the personalized personal training management system according to the present invention will be described in detail.

First, the cloud server 100 registers and manages information on the training method from the trainer terminal 200. When the user information is received from the user terminal 300, the cloud server 100 registers and manages the information in the database.

In this case, the cloud server 100 can transmit and receive information from a plurality of the trainer terminals 200 and the user terminal 300. Therefore, information on the training method is collected from a plurality of trainees of various fields through the trainer terminal 200, and is registered and managed in the database 110. When the user requires training and diet, It registers it in the database 110 and manages it.

In particular, when the user information is received from the individual user terminal 300 and the request information on the customized training plan necessary for the user is received, the cloud server 100 analyzes the information on the training method suitable for the user information, Generates the plan information, registers it in the database 110, and transmits customized training plan information to the individual user terminal 300.

Meanwhile, the trainer 1 can participate in a variety of professional trainers, and can be an expert group. The trainer 1 includes motion capture marker information related to its own motion method and motion, motion capture data, a plurality of portable wearable sensing data according to a motion type, heartbeat data, a voice coaching file, music, breathing And information about training methods such as various tips, caution messages, and photograph data can be input and stored in the cloud server 100 through the trainer terminal 200.

In this case, the trainer terminal 200 can use a conventional PC, a notebook, as well as a portable smartphone and a tablet PC. The trainer 1 can be connected to the cloud server 100 using the trainer terminal 200 And registers the information on the training method by creating a cloud account.

The user 2 may also store user information regarding the presence or absence of disease, weight, preferred exercise intensity, presence or absence of allergies, exercise frequency, exercise place, body fat, exercise time, lifestyle, May be input to and stored in the cloud server 100 through the terminal 300.

In this case, when the user terminal 300 inputs user information, it is possible to use not only ordinary PCs and laptops, but also portable smartphones and tablet PCs. However, in the case where the user terminal 300 can carry portable smart phones, tablet PCs, It is preferable to use it.

Of course, the user 2 may access the cloud server 100 using the user terminal 300 to create a cloud account, register the user information, and select a preferred trainer through the user terminal 300 .

Meanwhile, when the user terminal 300 transmits the request information related to the customized training plan to the cloud server 100 after registering the user information in the cloud server 100 and selecting the preferred trainer, Information on the training method of the trainer 1 matched with the information, generates and registers customized training plan information for each user, and transmits the customized training plan information to the user terminal 300.

Such customized training plan information includes information on the detection order and the number of times of the plurality of training sensing apparatuses 500. [

At this time, the user terminal 300 is provided with a training program. When the customized training plan information is received, the user terminal 300 receives the sensor information of the plurality of the training sensing devices 500. In accordance with the customized training plan information, The exercise amount of the user is analyzed according to the sensing sequence and the number of times of the exercises 500 to determine whether the exercise amount has reached the set exercise amount, and the exercise amount analysis information is generated.

Of course, the momentum analysis information analyzed through the user terminal 300 is transmitted to the cloud server 100 and is registered and managed.

Meanwhile, the momentum analysis information transmitted to the cloud server 100 and registered and managed in the database 110 is registered and managed for each date / time / exercise device, and the trainer can confirm the movement trends thereof.

The user connects to the cloud server 100 by using the device-attached terminal 400 attached to the fitness device 4, creates a cloud account, registers the user information, You can choose a trainer.

In this case, the device-attached terminal 400 includes a data communication unit connectable to the cloud server 100, a camera for capturing an image of a user, a touch screen or key input unit for inputting a user, A device control unit for controlling the data communication unit, and the like.

In this case, the training sensor 500, which senses the sensor information at the time of the user's exercise, can measure the amount of exercise of the user by using various sensors. The training sensor 500 may be a wearable type that is worn by the user, .

The training device 500 includes a sensing unit 510 for measuring a user's body change according to a user's movement and a wireless unit 500 for transmitting a body change signal measured by the sensing unit 510 to the user terminal 300. [ And a control unit 530 for controlling the sensing unit 510 and the wireless communication unit 520. [

The use of a smoking sensor for sensing carbon monoxide (CO) enables the sensing means 510 to determine the presence or absence of smoking when proceeding with the exercise plan, thereby helping the exercise to proceed safely and effectively, By using the sensor, it is possible to help the exercise to proceed safely and effectively by judging the presence or absence of drinking when proceeding with the exercise plan. As an auxiliary sensor for measuring the water content of the human body and measuring the amount of exercise accurately, , It is possible to help the exercise to be carried out in the correct way by auxiliary measurement whether it is controlling the intensity of exercise well or not. When the acceleration sensor is used as the sensor to measure the acceleration amount, the efficiency of the exercise is measured, To measure the user's basic momentum, and to measure the momentum Using the motion tracking sensor, you can see whether you are walking or not. You can measure the user's basic momentum when you go through the exercise plan. By using the 6-axis inertial motion sensor, you can measure gyro sensor and motion tracking sensor. You can measure the momentum more precisely. It can help you to measure the momentum of complex motions such as yoga and pilates during the training process of the user. It also measures how the angle of the current sensor is distorted. If you use the gyro sensor, , And Z axis can be measured separately. It is able to measure the movement of the user. It is a sensor that measures the heartbeat. The heartbeat sensor measures the heartbeat by illuminating the skin and reading the blood flow pattern flowing down the skin. It is possible to measure the intensity of the exercise, measure the atmospheric pressure, (Load sensor) can be attached to a muscle strength fitness instrument or barbell attached to an attachment type terminal. It can be used as a sensor to detect the weight of a user. By using the speed sensor, it is possible to detect the movement speed of the user during the tracking and running, and exercise in the correct way You can tell if it is.

The sensor capable of measuring various types of exercise amount may be selectively installed in at least one specific exercising apparatus and may be interlocked with the personal sensing apparatus.

Meanwhile, the wireless communication unit 520 of the training sensing apparatus 500 may use a beacon, which is a wireless communication device based on a Bluetooth 4.0 (BLE) protocol. It is capable of recognizing the user, communicating with devices within a maximum distance of 70m, displaying various information of the fitness apparatus, enabling precise positioning, recognizing the user, Personal, and attachable terminals.

For example, the user terminal 300 may use VR, which is a head mount display capable of experiencing a virtual reality. It includes an acceleration sensor, gyroscope sensor, and magnetometer to help you make more precise movements when you go through complex motion plans such as yoga and pilates using 3D motion animations.

According to such a configuration, when the aerobic exercise is performed, the training sensing device 500, which is a wearable type that is worn by the user in accordance with the exercise type according to the exercise device 3 such as the fitness device or the exercise device, (Activity tracker) is used, the motion data of the user is matched with the reference motion capture data through the motion tracking sensor, the gyro sensor and the pressure air pressure sensor (altitude sensor), and the velocity is detected by integrating the acceleration, Can be used to match the exercise intensity of the reference data to assist the user in correct movement of the exercise.

Of course, in the case of exercising the muscular force, it is possible to check the rep, set, and frequency of the user by using the motion tracking sensor, the load cell sensor, the gyro sensor, etc. of the training sensor 500 directly to the exercise device, .

Hereinafter, a customized personal training management process according to the present invention will be described with reference to FIGS. 1 to 14. FIG.

The personalized personal training management process according to the present invention includes: (A) receiving information on a training method from a trainer terminal 200 in a cloud server 100 and registering the information; (B) analyzing information on the training method matched when the user information is received from the user terminal 300 to the cloud server 100, generating and registering customized training plan information, and transmitting the customized training plan Providing information; (C) The cloud server 100 receives the training detection information of the plurality of training sensing devices 500 from the user terminal 300 and analyzes whether the training is sequentially performed according to the customized training plan information, Receiving and registering information; (D) The cloud server (100) provides the momentum analysis information upon request from the trainer terminal (200).

Hereinafter, each step will be described in detail.

The step (A) is a step of receiving information on the training method from the trainer terminal 200 in the cloud server 100 and registering the information. The trainer 1 can receive motion capture marker information on its own motion method and motion, motion capture data, heartbeat data, voice coaching file, music, respiration (command), etc. Information about training methods such as reference motion data and various tips, precautions messages, and photograph data can be input and stored in the cloud server 100 through the trainer terminal 200. In operation S100,

2, the trainer terminal 200 may include a motion capture device 11 or a heartbeat measuring device, which is worn or used by a trainer, and a plurality of portable wearable sensing data 12, And various reference data such as a voice coaching file, music, and breathing (command) are generated by using a microphone 13 and the like to measure the acceleration, altitude, gyro, 6-axis inertia motion, sweat, Can be registered in the server 100 as information on the training method.

Also, as shown in FIG. 3, the trainer 1 graphics selected using the motion capture data of the trainer may be synthesized and converted into a 3D motion animation 1a and registered in the cloud server 100. In this case, the 3D motion animation (1a) can be confirmed by the user (2) through the user terminal (300) and can exercise according to the animation operation. Of course, the various sensor data and the voice coaching file can be classified according to the user's individual motion.

In the meantime, the step (B) is a step (B) in which the user uses the user terminal 300 to determine whether the user is suffering from a disease or a condition of an individual, weight, strength of a preferred exercise, exercise frequency, presence of allergies, exercise place, body fat, exercise time, And registering the user information on the body part, the body condition, and the like in the cloud server 100 to create an account.

In the step (B), when the user account is registered, the cloud server 100 transmits the customized training plan information to the user based on the user information of the user, from the cloud server 100 to the data mining system And recommend a suitable exercise trainer for the user.

In this case, the cloud server 100 automatically generates and registers customized training plan information by automatically selecting and extracting exercise methods matched according to the body type, the setting period, the exercise time, the goal or the like based on the user information, The user can access the cloud server 100 using the terminal 200 and directly input his or her own exercise data to generate and register customized training plan information optimized for the user and provide the customized training plan information to the user terminal 300.

Meanwhile, providing the customized training plan information from the cloud server 100 to the user terminal 300 through the step (B) allows the user to exercise in various environments, The momentum analysis can be performed (S110)

In the step (C), the user terminal 300 receives the training detection information of the plurality of training sensing devices 500, analyzes whether the training is sequentially performed according to the customized training plan information, and transmits the generated momentum analysis information to the cloud To the server 100 and registering it (S120)

4, a smart phone, a tablet, a personal wearable device (activity tracker) smart watch, etc. may be used as the user terminal 300. In this case, the user terminal 300 may be provided with a sensing means 510 Or a device-attached terminal 400 that is interlocked with the user terminal 300 by a communication method such as beacon, Bluetooth, NFC, WIFI or the like is mounted on a fitness device 3 such as a fitness machine, a fitness device, .

Meanwhile, the training sensing device 500 may be used in the form of a personal wearable device (activity tracker) of the user or may be mounted on a fitness machine, a fitness device, and an exercise device for various exercise types. In this case, (500) is operated in conjunction with the user terminal (300) or the device-attached terminal (400). For example, the training sensor 500 installed in the counterbalance 3 uses a sensor having a built-in load cell or a gyro sensor.

Such a training sensing device 500 acquires a plurality of pieces of sensor data information attached to a health machine, a fitness equipment, and an exercise equipment in accordance with sensor data and various kinds of exercise, and transmits the sensor data information through beacon, Bluetooth, NFC, WIFI communication, To the device-attached terminal (400) mounted on the device and exercise equipment. In this case, the device-attached terminal 400 extracts more accurate sensing data by collecting and receiving respiration (instructions) of the user, analyzes whether the training is sequentially performed according to input and customized training plan information, And transmits it to the cloud server 100.

 The device-attached terminal 400 recognizes the user 2 via beacon communication, which is a short-range wireless communication device based on a Bluetooth 4.0 (BLE) protocol, and notifies the user of the device-attached terminal 400 or the user- Devices, smart watches, etc., it is possible to display the order of movement and moving lines by display, vibration, sound, LED change, and the like.

5, the user 2 inputs a user to a user terminal 300 such as a smart phone, a tablet, or a personal wearable device (activity tracker), and transmits the beacon, Bluetooth, NFC, or WIFI The user can be informed of the user by recognizing the user to the device-attached terminal 400 mounted on the interlocked health machine or directly inputting the user to the device-attached terminal 400. Accordingly, ) Can be synchronized.

In this case, the user 2 can easily know various information of the exercise equipment 3 and the exercise equipment setting method to proceed through the beeper communication with the exercise equipment 3 such as the on-going fitness equipment or the exercise equipment, A motion recognition camera mounted on a user's personal sensor and a fitness / exercise device according to a kind of exercise, and a motion recognition device for tracking the movement of a plurality of sensor data information in real time, Type terminal 400 to allow the user to confirm the graphic and sound.

As shown in FIG. 6, the user terminal 300 or the device-attached terminal 400 receives the training detection information of the plurality of the training sensing devices 500 and determines the motion performance of the user, the carbon monoxide sensor, Alcohol sensor, body fat, body weight, etc., and generates momentum analysis information and automatically uploads it to the cloud server 100. [ In this case, the momentum analysis information may be transmitted to the cloud server 100 at a predetermined time interval (for example, once every 10 seconds) or continuously. The user may also transmit the momentum analysis information through the user terminal 300 or the device- . Of course, the trainer 1 can confirm the above-mentioned momentum analysis information through the trainer terminal 200.

In this case, referring to FIG. 7, the user's movement progress process is set to recognize the user in the user terminal 300 or the device-attached terminal 400, so that even if the user moves to the exercise machine 3 such as another fitness machine, The user can express the motion movement movement line of the user to the user terminal 300 or the device-attached terminal 400 through the user terminal 300. [

14, in the user terminal 300 or the device-attached terminal 400, motion capture marker information, motion capture coordinate data, and movement type, which are reference data included in the customized training plan information S200, After synchronizing a plurality of portable wearable sensing data and heartbeat data with data (S210), the training information (S201) input from the training sensing device 500 is synchronized in the user terminal 300 or the device-attached terminal 400 (S211), and matched according to the control algorithm (S220) to extract the marker part and the coordinate data of the most important large motion operation in each selection motion to obtain the specified selected data value of the motion operation and the locus data of the coordinates, Data, individual voice coaching files of each motion movement automatically extracted, and a plurality of portable webs Scalable can be the time difference between the data value corresponding to the sensed data, heart rate sensor data processing (S230) to extract the common ground through the matching step (S240) (S240) by generating (S250) a momentum analysis information.

In this case, as shown in FIG. 8, the user terminal 300 or the device-attached terminal 400 calculates matching data and a common part according to the customized training plan information, extracts a common denominator The accuracy is improved and the accuracy is improved (for example, 70% is achieved), the matching data value is converted into a score to generate momentum analysis information, and the result is expressed in graphic or voice.

As shown in FIG. 9, the real-time motion data, environment data, augmented reality collected through a plurality of sensors through the user terminal 300 or the device-attached terminal 400, 3), additional information such as the name of the exercise set, the number of exercise sets to be set, the progress time, the temperature and humidity, the ultraviolet ray index, the exercise / activity index, the running environment, The server 100 displays the matched information and performs the motion by synchronizing with the training sensing device 500 installed in the exercise device 3 in real time by various communication methods.

In this case, as shown in FIG. 15, the augmented reality using the user terminal 300, such as a Google glass, which the user 2 wears, and various additional information recognized through the object recognition camera are received from the cloud server, 303 so that the user can easily acquire various information such as the use method of the exercise equipment 3, the temperature, and the exercise method.

In addition, the user terminal 300 or the device-attached terminal 400 provides output functions such as VR, hologram, HMD, and MHL TV output according to the movement type of the exercise place, And a method that can be used according to a user's taste (S130)

The training sensing device 500 that performs beacon communication with the user terminal 300 or the device-attached terminal 400 is provided with various attachment sensors and can be used in various devices such as a cycle, a dumbbell, a bench press, a sand bag, Pilates, Yoga, Dancing, Bike Tracking, Bike Tracking, Bike Tracking, Trampoline, Hula Hoop, Stepper, Chin Dip, Set Up Bench, Rowing Machine, Core Medison Ball, Air Board, Sports, spinning, Tabata exercise, core exercise, crossfit training, gap exercise, walking, etc.

10, the user's motion state is photographed through the camera 410 of the device-attached terminal 400, and the user senses the movement state of the user through the wearable type or device-attached type of the training detection device 500 Sensor information is transmitted to the cloud server 100 through the user terminal 300 or the device-attached terminal 400 to analyze whether the sensor information has been leveled or not, and the sensor information is transmitted from the user terminal 300 or the device- Or may be directly analyzed and displayed on the user terminal 300 or the device-attached terminal 400 for use in the exercise. In other words, it automatically synchronizes the user's personal wearable device (activity tracker) with various sensors in the form of an annular, clip-like sticker type interlocked with a personal type or attachment type equipment, . The user can watch his / her movement progress through the display of the device-attached terminal 400 and watch the animation graphics displayed in real time, and adjust the horizontal position of both arms and exercise in the correct posture.

Meanwhile, the momentum analysis information generated by performing the momentum analysis through the step (C) is transmitted to the cloud server 100, so that the cloud server 100 receives the request from the trainer terminal 200 through the step (D) Provides the momentum analysis information of each user. In this case, the kinetic analysis data of all the users 2 can be obtained by analyzing the analysis algorithm of the plurality of users 2, which is set in the solution by the trainer 1 or collected in the cloud server 100 according to a method automatically set in the cloud server 100 The trainer 1 may modify the exercise / diet plan of the user and provide it to the user terminal 300 or the device-attached terminal 400 again, or may provide the user's personal / An alarm message, a trainer's tip, and a warning message to the user terminal 300 in the form of PUSH.

11, the user 2 selects a group exercise such as two-person one-group exercise, three-person one-group exercise, and the like with the friend through the user terminal 300 or the device-attached terminal 400 And can download personalized training plan information including a voice coaching file and a plan for a dynamic exercise from the cloud server 100 and exercise together with the team members 2a and 2b.

In this case, the trainer 1 selected by the user 2 can transmit important announcements, useful exercises, diet information, etc. to the user terminal 300 of the users 2a and 2b managed by the trainer terminal 200, Push alarms that can be motivated by users, various graphics (motivational pictures, stimulus pictures), voice messages can be transmitted as a whole.

Also, as shown in FIG. 12, the trainer 1 receives the individual training detection information synchronized by the user and easily analyzes the exercise amount analysis information analyzed by the solution in a graph form for all the management team members. The user 2 can check a certain portion of the individual synchronization data and easily inquire the dedicated trainer 1 in real time and receive real time feedback. Of course, the data transmission between the user 2 and the trainer 1 is transmitted and received through the cloud server 100, and thus data to be transmitted and received is stored and registered in the cloud server 100.

At this time, the algorithm that is automatically matched with the team members having the same exercise goal is stored in the user terminal 300, so that the user can share the momentum analysis information in real time between the users. In addition, They can be provided to encourage each other and motivate them.

In this case, the user 2 can perform the voice coaching file matching operation using the voice recognition technology of the user terminal 300 such as a Bluetooth headset, a wearable device, a smart phone, or the device-attached terminal 400 installed in the exercise device 3 (Ex: breathing, morsel (one or two), one or two feet, one or two, deep breathing twice, etc.) to improve the accuracy of the mobile wearable device and motion capture reference data.

At this time, the matching algorithm of the user terminal 300 or the device-attached terminal 400 may be selectively or collectively applied to the sensing data such as acceleration, geomagnetism, and elevation sensor, time difference data, .

Of course, the kinetic analysis data of all the users 2a and 2b provides the user's risk feedback, over-achievement feedback through analysis algorithms of the plurality of users collected in the cloud server 100 according to the manner set by the trainer 1 in the solution And the trainer 1 can modify and provide the exercise / diet plan of the user again. In this case, for example, when the user selects a high training intensity but fails to complete two more times or a variable such as an over-calorie intake, the user selects low training intensity, but it is too easy and needs to gradually increase.

Meanwhile, in the case of the group exercise, when the group members are synchronized, one exercise content and the exercise plan are collected through the mobile wearable device worn by each of the group members, and the sensed data, which is calculated and matched, is sent to the cloud server 100 Individual sensing data collected in the synchronized group data is sent from the cloud server 100, and the trainer (teacher) group data can be integrally generated and managed, and the trainer 1 can collectively analyze and manage the data have. In this case, the trainer 1 can train the group source in a face-to-face or image projection method instead of the voice coaching file, and the personal data and group data are simultaneously generated in the group 1 sensing data, Can be managed. You can also easily check your own real-time athletic data or achievement process synchronized with your own, graphically, etc., and set up your activity area, with friends, the same area, the same time, The algorithms that are automatically matched according to the conditions are stored in the user terminal 300 and can be shared in real time and provided as push alarms, ranking graphs, voice alarms, and can be encouraged and motivated

On the other hand, in the cloud server 100, analysis of such data shows how well the user is following himself / herself, how well he / she is following the same plan, how fast the weight loss is progressing, The user terminal 300 and the trainer terminal 200 can automatically adjust the intensity of the exercise or analyze the danger signal based on data such as whether a user who is different (general) So that the user 2 and the trainer 1 recognize it.

Of course, the user can easily view the exercise equipment setting method or the weight (for example, the weight) without using the wearable device or the activity tracker through the device attaching type terminal 400 having various attachment type sensing devices, beacons, And the user can automatically upload the user's exercise record to the cloud server 100. [ Of course, the user's exercise plan is automatically uploaded to the sensing device attached to the fitness device. In this case, it is possible to automatically synchronize and match with various attachment type sensing devices provided in affiliated health clubs, user wearable devices, activity trackers, etc. to improve the accuracy of sensing and can be automatically uploaded to the cloud server 100, And the user's exercise plan, exercise progress, exercise method, and the like are automatically displayed on the display of the device-attached terminal 400 of the exercise apparatus.

The section of the user's workout history or the workout method in which the user of the workout process is in error may be provided to the user terminal or the device-attached terminal 400 in the form of a push in the cloud server 100.

On the other hand, programs available at health clubs provide more immediate feedback. When the user is recognized through the device attachment type terminal 400 on the exercise device 3, the process of the movement of the user 2 is automatically synchronized and automatically mirrored on the display. When the wearer wears a personal wearable The mobile plug-in sensors attached to the device and the fitness device in a plug-in manner or the mobile type plug-in sensors interact with each other according to the kind of exercise in synchronization with each other, and upload the user's momentum to the cloud server 100 more accurately. Type terminal 400 and can confirm whether or not the user is following well on the display in real time. This enables horizontal posture correction and so on.

Meanwhile, the user of the camera or the plug-in Kinect sensor built in the device-attached terminal 400 views the motion of the user, the motion animation of the trainer, the reference sensing, and the real-time sensor recognition motion of the user, If the real time sensing value of the sensor is wrong, the user is informed and the user can exercise more accurate and correct attitude.

In addition, the user (2) can manipulate the personal type and attachment type equipment by the gesture or the line input method by using the gravity sensor of the wearable device worn by the user (2), and the motion animation about his / her exercise process for the beginner and the expert You can see the different parts of the exercise that you are often going through, or you can select the scene you want, such as the set process and the graph. You can also easily search for exercise and find out what you do not know or follow.

The exercise sensing log of the user 2 is automatically uploaded to the trainer terminal 200 to the user 2 who carries out the exercise plan of the trainer 1 residing in the health club, The user can easily check the momentum of the user and receive immediate feedback. In this case, the personal sensing log and the sensing log of the health / exercise device 3 are all uploaded to the cloud server 100 via Bluetooth, and the user can confirm the application through the application.

In addition, the QR code is provided in the health club so that the user can install the application on the user terminal 300, easily create his / her own information, select the trainer 1 through consultation or the like, And body fat data, and automatically uploads them to their own accounts. You can get exercise and a meal plan through the trainer, and start exercising according to your plan.

While the invention has been shown and described with respect to the specific embodiments thereof, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined by the appended claims. Anyone with it will know easily.

1: Trainer 2: User
100: Cloud server 200: Trainer terminal
300 user terminal 400: device-attached terminal
500: Training sensing device

Claims (16)

Information on the training method of the trainer, user information of the user, analysis information of the user's momentum, and analyzes the information on the training method of the trainer matched to the user information to generate and manage customized training plan information for each user A cloud server; A trainer terminal for uploading information on a training method of a trainer to the cloud server; The frequency of exercise, the frequency of exercising, the frequency of exercise, the place of exercise, body fat, exercise time, exercise, exercise, And transmits the user information such as a body part lacking exercise, lack of exercise, and physical condition required information to the cloud server, loads customized training plan information from the cloud server, compares the training information according to the customized training plan, And a device-attached terminal attached to a user terminal or a fitness device that generates and transmits the generated personal training data to the cloud server.
The method according to claim 1,
The cloud server receives, from the trainer terminal, motion capture marker information and motion capture coordinate data related to each motion method and operation of each individual, group, and motion thereof, a plurality of portable wearable sensing data according to motion type, heartbeat data, , And information on the training method including the recorded voice coaching file is received and registered in the database.
The method according to claim 1,
The cloud server selects a user's preferred trainer and preferred exercise from the user terminal or the device-attached terminal, and determines whether or not an individual's disease condition, weight, preferred exercise intensity, exercise frequency, exercise site, weight, And the user information including the body part, the body part, the body part, the body part, the exercise time, the lifestyle, the body part lacking the exercise, and the body part are received and registered in the database.
The method according to claim 1,
Wherein the user terminal or the device attachment type terminal comprises: a sensing unit that measures a user's body change according to a user's motion; a wireless communication unit that transmits a body change signal measured by the sensing unit to a user terminal; Receiving a training detection information from a plurality of training detection devices configured by a control unit for controlling a communication unit, and analyzing the training detection information according to customized training plan information to generate momentum analysis information and transmit the information to the cloud server.
(A) receiving and registering information on a training method from a trainer terminal in a cloud server;
(B) when user information is received from a device-attached terminal installed in a user terminal or a fitness equipment in the cloud server, information on matching training methods is analyzed to generate and register customized training plan information, Providing the terminal with the customized training plan information;
(C) The cloud server receives training detection information of a plurality of training sensing apparatuses from a user terminal or a device-attached terminal, analyzes whether the training is sequentially performed according to the customized training plan information, calories consumed, Receiving and analyzing analysis information;
(D) the cloud server providing the requested momentum analysis information from the trainer terminal.
6. The method of claim 5,
The step (A) may include a step of acquiring motion capture marker information on the motion method and the motion of the trainer, a plurality of portable wearable sensing data, heartbeat data, voice coaching file, music, respiration ), And information about a training method including at least one of various tips, attention messages, consumed calories, and photograph data is input and stored in the cloud server through the trainer terminal How to manage your personal training.
6. The method of claim 5,
In the step (B), the user selects a preferred trainer and a preferred exercise using the user terminal or the device attachment type terminal, and selects a preferred trainer and a preferred exercise based on the presence or absence of an individual disease, weight, preferred exercise intensity, exercise frequency, Wherein the step of creating an account comprises registering user information including at least one of body fat, exercise time, lifestyle, body parts lacking exercise, and physical condition to the cloud server.
6. The method of claim 5,
In the step (B), the cloud server automatically selects and extracts exercise methods matched according to body type, setting period, exercise time, and goal based on the user information to generate and register customized training plan information, The method comprising the steps of: accessing a cloud server using a terminal and directly inputting own exercise data to generate and register customized training plan information optimized for a user, and providing the customized training plan information to a user terminal or a device- .
6. The method of claim 5,
In the step (C), the user terminal collects and receives the training detection information of the plurality of training sensing devices, analyzes whether the training is sequentially performed according to the customized training plan information, and transmits the generated momentum analysis information to the cloud server And registering the personalized training program.
6. The method of claim 5,
In the step (C), the motion capture marker information and the motion capture coordinate data, which are reference data included in the customized training plan information, the portable wearable sensing data, the heartbeat data, and the data The coordinate data and the sensor data of the most important large motion operation in each selection motion and extracts the selected data values of the respective motions among the collected sensor data and the locus data of the coordinates, By applying the algorithm that integrates the time difference data values according to the heartbeat sensor data to be the correct selection criterion inputted through the individual voice coaching file of each extracted exercise motion and automatically extracts the final matching data by dividing into steps, And a step of generating information Customized personalized training management methodology.
6. The method of claim 5,
In the step (C), the user terminal or the device-attached terminal computes the common data and the common data according to the customized training plan information, extracts the common denominator, and improves the accuracy as the iteration progresses. And converting the matching data value into consumed calories and scores to generate momentum analysis information and displaying the data in a graphic or voice form.
6. The method of claim 5,
In the step (C), real-time motion, environmental data and augmented reality collected in the training detection information of the plurality of training detection devices in the user terminal or the device attachment type terminal, information and name of the exercise device recognized through the object recognition camera, , Additional information including the number of times of exercise set to be performed, progress time, temperature and humidity, ultraviolet ray index, exercise / activity index, running environment, And displaying the information. ≪ Desc / Clms Page number 21 >
6. The method of claim 5,
In step (D), the cloud server provides momentum analysis information of individual users upon request from the trainer terminal, and analyzes the user's momentum analysis information through an analysis algorithm according to a trainer setting or a method automatically set in the cloud server Providing dangerous feedback or excess achievement feedback and changing the trainer according to the user's choice or automatically providing the customized training plan information to the user terminal or the device-attached terminal by automatically changing the intensity of the exercise, the kind of the exercise, Customized personalized training management with features.
6. The method of claim 5,
In the step (A), the information on the training method includes information on training methods for individual and groups,
If the group exercise is selected from the user terminal or the device attachment type terminal installed in the fitness equipment in the cloud server in the step (B), customized training plan information including the voice coaching file and the plan for the dynamic exercise is transmitted to the user terminal Wherein the personalized training management method comprises the steps of:
6. The method of claim 5,
In the step (C), the device-attached terminal recognizes the user through beacon communication, which is a wireless communication device based on the Bluetooth 4.0 (BLE) protocol, and transmits the order through the attachment-type terminal or personal wearable device, smart watch, To a display, vibration, sound, LED change, or the like.
6. The method of claim 5,
Wherein the steps (A), (B), (C), and (D) are provided through one application, and the application is stored in a cloud server.

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