KR101999748B1 - IoT FITNESS EQUIPMENT, EXERCISE INSTRUCTION SYSTEM, AND EXERCISE INSTRUCTION METHOD USING THEREOF - Google Patents

Abstract

The present invention relates to a exercise instruction system for instructing an exercise suitable for a user in real time by determining the state of a user from sensor data measured during exercise with an IoT (Internet of Things) exercise apparatus, and a exercise instruction method using the exercise instruction system. Wherein the exercise guidance system comprises: an IoT exercise device for measuring at least one of a motion acceleration, a kinetic angular velocity, and a user's heart rate during a user's exercise and displaying the exercise intensity; And a computing device that receives sensor data measured by the IoT exercise device to determine a user's exercise state and physical condition and provides exercise map information to a user, And a motion map video in which reproduction is regulated. The exercise instruction system and the exercise instruction method of the present invention can provide exercise map videos suitable for a user in real time or provide feedback information analyzing exercise results.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an IoT fitness apparatus, a exercise instruction system,

The present invention relates to a technique for instructing a user who uses a fitness device, and more particularly, to a technique of instructing a user who exercises exercise by using an Internet of Things (IoT) The present invention relates to a exercise instruction system for instructing exercise and a exercise instruction method using the same.

Modern people are looking for a fitness club to work out during a busy day, or exercise at home with a simple exercise machine. If you are exercising at a professional exercise facility such as a fitness club, you can get a map of exercise methods and exercise from a professional trainer. However, when you are busy with work and you want to exercise with a simple exercise tool at any place in your home or business, you can not get exercise instruction. Therefore, problems such as exercising in a wrong way or under or over-exercising not fit to the state of the exerciser may occur.

In recent years, a variety of exercise solutions have been provided to users regardless of their place or time, through media such as the Internet and TV. There is also a growing interest in healthcare systems and a growing market.

Korean Patent Laid-Open Publication No. 10-2017-0056397 discloses a system and a method for guiding exercise intensity based on a user's bio-signal. However, the system and method for guiding the exercise intensity disclosed herein may sense inconvenience in exercising since it measures the user's exercise intensity by measuring a user's bio-signal from a sensor attached to a user's body or a user's wearer.

Korean Patent Registration No. 10-1032978 discloses a dumbbell set in which motion feedback using a motion sensor and exercise recording are possible. However, such a motion feedback function and a dumbbell set have problems in that the contents stored in the USB memory attached to the dumbbell are analyzed and analyzed by the computer in the future, so that the user's motion state can not be grasped and analyzed in real time.

Korean Patent Laid-Open Publication No. 10-2017-0056397 (published on May 23, 2017) Korean Patent Registration No. 10-1032978 (issued on May 09, 2011)

It is an object of the present invention to provide an Internet of Things (IoT) exercise device that measures a user's exercise state and physical condition and transmits it to a computing device.

Yet another object of the present invention is to provide a exercise instruction system including a computing device that analyzes the exercise state and physical condition of the IoT exercise device and the user, and regulates the reproduction of the exercise instruction video according to the analysis result.

It is still another object of the present invention to provide a method of exercise instruction using the exercise instruction system.

According to one aspect, the present invention provides a exercise instruction system. Wherein the exercise guidance system comprises: an IoT exercise device for measuring at least one of a motion acceleration, a kinetic angular velocity, and a user's heart rate during a user's exercise and displaying the exercise intensity; And a computing device that receives sensor data measured by the IoT exercise device to determine a user's exercise state and physical condition and provides exercise map information to a user, And a motion map video in which playback is regulated.

Here, the IoT exercise device may include a sensor unit including at least one of an acceleration sensor that measures motion acceleration during a user's motion, a gyro sensor that measures a kinetic angular velocity, and a heart rate sensor that measures a user's heart rate. A communication unit for transmitting measured sensor data to the computing device and for receiving a user's maximum heart rate data from the computing device; A strength indicator for outputting light of a specific color according to the exercise intensity determined using the maximum heart rate data and the heart rate data measured by the heart rate sensor; And a control unit for controlling the sensor unit, the communication unit, and the intensity display unit.

Here, the computing device may include: a communication unit for transmitting the user's maximum heart rate data to the IoT exercise device and receiving the measured sensor data from the IoT exercise device; A user state determination module for determining a user's exercise state and a body state by using user information and sensor data received from the IoT exercise machine, a video playback control module for controlling playback of the exercise map video according to a result of determining the user's physical condition, A control module, and a feedback generation module for analyzing the motion results and generating feedback information to be provided to a user; A database unit for storing user information including body information of the user and questionnaire information, and a motion map video by exercise type and strength; And a display unit for displaying a motion map moving picture.

Here, the user state determination module may determine a user's exercise state using acceleration and angular velocity data received from the IoT exercise device, and user information stored in the database, and compare the heart rate data received from the IoT exercise device, And the user's body condition is determined using the user information.

Here, the motion picture reproduction control module adjusts the reproduction position of the motion map moving picture according to a result of the user's physical condition determination.

Here, the feedback generation module may generate feedback information including at least one of a motion name, a number of motions, and consumed calories performed using the user information and a result of determining the motion state of the user .

In another aspect, the present invention provides an IoT exercise device for measuring at least one of a motion acceleration during a user's motion, a kinetic angular velocity, and a heart rate of a user with a sensor and displaying the exercise intensity.

Wherein the IoT exercise device comprises: a sensor unit including at least one of an acceleration sensor for measuring a motion acceleration during a user's motion, a gyro sensor for measuring a kinetic angular velocity, and a heart rate sensor for measuring a user's heart rate; A communication unit for transmitting measured sensor data to a computing device and for receiving a user's maximum heart rate data from the computing device; A strength indicator for outputting light of a specific color according to the exercise intensity determined using the maximum heart rate data and the heart rate data measured by the heart rate sensor; And a controller for controlling the sensor unit, the communication unit, and the intensity display unit.

According to another aspect of the present invention, there is provided an IoT exercise device for measuring at least one of a motion acceleration, a kinetic angular velocity and a user's heart rate during a user's exercise and displaying the exercise intensity, And a computing device that receives the training information and determines the exercise state and the body state of the user and provides exercise map information to the user. The exercise instruction method comprising the steps of: the computing device and the IoT exercise device establishing a wireless communication connection; Reproducing a selected exercise map video file based on pre-input user information; When the user starts to exercise, the IoT exercise machine senses the start of the user's exercise; Measuring at least one of a user's motion acceleration, a kinetic angular velocity, and a heart rate by the IoT exercise device; Determining a user's exercise state and physical condition using sensor data received from the IoT exercise device; And controlling the reproduction of the motion map video according to a result of the computing device determining the physical condition of the user.

Here, the step of determining the user's exercise state and the user's body state may include: determining a user's exercise state using acceleration and angular velocity data received from the IoT exercise device and pre-inputted user information, And the user's body condition is determined using the heart rate data and the user information.

Here, the step of adjusting the reproduction of the motion map moving picture may be performed by adjusting the reproduction position of the motion map moving picture according to the result of the determination of the user's physical condition.

Here, the exercise instruction method may include: inputting user information through a exercise map application installed in the computing device, prior to the step of forming the wireless communication connection; And transmitting the maximum heart rate data of the user calculated by the computing device from the user information to the IoT exercise machine, wherein the user information includes user body information and questionnaire information .

Here, the exercise instruction method may be a method in which the IoT exercise device outputs light of a specific color to an intensity display part formed on one surface of the IoT exercise device in accordance with the exercise intensity determined using the maximum heart rate data and the measured heart rate data The method may further comprise:

Here, the exercise instruction method may include generating feedback information including at least one of a exercise name, a number of exercises, and consumed calories performed using the user information and a result of determining a user's exercise state at the end of a user's exercise The method may further comprise the steps of:

The IoT exercise device of the present invention can detect a user's exercise state and physical condition by a built-in acceleration sensor, a gyro sensor (angular velocity sensor), a heart rate sensor, and the like. In addition, according to the user's body state, the display unit of one side of the IoT exercise device emits light of different colors, so that the user can easily grasp the current physical condition.

The exercise guidance system of the present invention is constituted by a computing device equipped with a gyro sensor, an acceleration sensor, an IoT exercise device with a built-in heart sensor, and a dedicated exercise map application, so as to provide a motion map video suitable for a user in real time, And provide analyzed feedback information.

The exercise instruction method of the present invention can determine a user's exercise state and body state by using the exercise instruction system to guide the user in real time and can provide feedback information to the user by analyzing the exercise result .

1 is a schematic block diagram of a exercise instruction system according to a preferred embodiment of the present invention.
2 is a configuration diagram of an IoT exercise machine according to a preferred embodiment of the present invention.
3 is a view showing a dumbbell in an IoT exercise device according to a preferred embodiment of the present invention.
4 is a configuration diagram of a computing device according to a preferred embodiment of the present invention.
FIG. 5 is a flowchart of a method of exercising according to a preferred embodiment of the present invention.
FIG. 6 shows a process of reproducing a motion map moving picture according to a preferred embodiment of the present invention.
7 is an exemplary screen of a motion map moving picture according to a preferred embodiment of the present invention.

While the invention is susceptible to various modifications and alternative forms, specific embodiments thereof are shown by way of example in the drawings and will herein be described in detail. It is to be understood, however, that the invention is not to be limited to the specific embodiments, but includes all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the like elements throughout. The description will be omitted.

1 is a schematic block diagram of a exercise instruction system according to a preferred embodiment of the present invention. Referring to FIG. 1, the exercise guidance system 10 includes an IoT exercise device 100 for measuring at least one of a motion acceleration, a kinetic angular velocity, and a user's heart rate of a user during exercise and displaying the exercise intensity, And a computing device (200) that receives sensor data measured by the exercise device (100) to determine a user 's exercise state and physical condition, and provides exercise map information to a user.

Here, the exercise map information includes a sports map video whose reproduction is controlled according to the physical condition of the user.

In addition, the IoT exercise device 100 and the computing device 200 may be connected to each other through a wireless communication protocol such as Bluetooth, Wi-Fi Direct, or the like.

The IoT exercise device 100 may include various fitness devices such as dumbbells, weights, cycles, and the like.

In addition, the computing device 200 may include a computer device having a display such as a smart phone, a PDA, a tablet, a PC, a notebook, and the like.

2 is a configuration diagram of an IoT exercise machine according to a preferred embodiment of the present invention. 2, the IoT exercise device 100 includes an acceleration sensor 111 for measuring a motion acceleration during a user's motion, a gyro sensor (angular velocity sensor) 112 for measuring a motion angular velocity, And a heart rate sensor 113 for measuring the heart rate of the user's heart rate sensor 113. The communication unit 200 transmits sensor data measured by the computing device 200 and receives the user's maximum heart rate data from the computing device 200. [ An intensity display unit 140 for outputting light of a specific color according to the exercise intensity determined using the maximum heart rate data and the heart rate data measured by the heart rate sensor, And a control unit 120 for controlling the display unit.

First, the sensor unit 110 performs a measurement for grasping a user's exercise state and physical condition. The acceleration sensor 111 and the gyro sensor 112 of the sensor unit 110 measure an acceleration and an angular velocity in order to grasp the type and frequency of motion of the user. In addition, the heart rate sensor 113 measures the user's heart rate so as to guide the exercise by analyzing the user's physical condition.

Preferably, the acceleration sensor 111 and the gyro sensor 112 may be implemented as one sensor such as a six-axis MEMS gyro sensor including an acceleration sensor.

Preferably, the heart rate sensor 113 may be a PPG (Photo PlethysmoGraph) sensor using LED green light. The PPG sensor measures the heart rate through blood flow and absorption by using the property that red blood cells absorb green light. When the user exercises, green light illuminates the user's skin several hundred times per second, and the absorption of green light is measured by the photodiode.

However, the heart rate measurement value may be inaccurate due to movement or impact of the IoT exercise device 100 during exercise. In this case, the accuracy of the heart rate measurement value can be increased by comparing the heart rate measurement value with the measured values of the acceleration sensor 111 and the gyro sensor 112 and filtering or adding variables to process information on the heart rate.

For example, you can use an LMS (Least Mean Square) Adaptive Filter to increase the accuracy of heart rate measurements. The LMS Adaptive Filter is a filtering technique that estimates the coefficients of a signal including a non-stationary signal with a statistical characteristic over time, based on the LMS algorithm. Using this filtering technique, the measured value of the PPG sensor occurring at the time when the periodic peak value of the acceleration sensor or the gyro sensor is present is not used for calculation of the heart rate, so that the accuracy of the heart rate measurement value can be increased.

Next, the communication unit 130 is a part for wireless communication with the computing device 200, and may be connected to the computing device 200 by Bluetooth pairing, preferably using the Bluetooth 4.0 protocol.

Next, the intensity display unit 140 divides the heart rate interval based on the user's maximum heart rate (for example, 220-age), and calculates a duration in which the current heart rate measured by the heart rate sensor 113 belongs ) Of a specific color. Here, the intensity display unit 140 may be implemented by an RGB tri-color LED.

During exercise, the human body requires adenosine triphosphate (ATP) and oxygen due to energy metabolism of muscles, and intracellular mitochondria are activated to produce adenosine triphosphate for exercise. This is continued after the end of exercise, and respiratory exchange is performed to produce adenosine triphosphate, which is consumed by exercise. This breathing exchange uses fat and carbohydrates and consumes energy. This state of oxygen consumption after exercise is called EPOC (Excess Post-exercise Oxygen Consumption). These EPOC states can be classified as shown in Table 1.

Therefore, the intensity display unit 140 may divide the interval and display a color as shown in Table 2. [

During the exercise of the diet intensity with the measured heart rate being 50 to 69% of the maximum heart rate, green light is applied to the intensity display unit 140, while the exercise of the fitness enhancement strength of 70 to 80% of the maximum heart rate is performed, , And the maximum intensity of the exercise, which is 81 to 100% of the maximum heart rate, is performed. Therefore, the user can grasp the exercise intensity performed by the user.

3 is a view showing a dumbbell in an IoT exercise device according to a preferred embodiment of the present invention. As shown in FIG. 3, when the IoT exercise device 100 is dumbbell-shaped, the heart rate sensor 113 may be positioned at a center portion held by the user. In addition, an intensity display unit 140 for displaying the status of the user on both sides may be implemented by an LED.

Here, the acceleration sensor 111, the gyro sensor 112, the control unit 120, and the communication unit 130 may be installed in the dumbbells.

In addition, since the IoT dumbbell can be used by putting a weight 150 having various weights (e.g., 5 kg, 3 kg, 1 kg, etc.) on both sides, the dumbbell weight can be adjusted to a weight suitable for each user.

4 is a configuration diagram of a computing device according to a preferred embodiment of the present invention. 4, the computing device 200 includes a communication unit 210 for transmitting the user's maximum heart rate data to the IoT exercise device 100 and receiving sensor data measured from the IoT exercise device 100, A user state determination module 221 for determining a user's exercise state and a user's body state using user information and sensor data received from the IoT exercise device 100, And a feedback generation module 223 for analyzing a result of the exercise and generating feedback information to be provided to the user by analyzing the result of exercise, a processing module 220 including a user's body information and a questionnaire information , A database 230 for storing user information including motion information and motion map videos according to intensity and intensity, and a display 240 for displaying a motion map video All.

First, the communication unit 210 is a part for wireless communication with the IoT exercise device 100, and may be connected to the IoT exercise device 100 by Bluetooth pairing, preferably using a Bluetooth 4.0 protocol.

Next, the processing module 220 may be implemented as a function of software, such as a dedicated exercise map application, installed in the computing device 200.

The user state determination module 221 of the processing module 220 is a part for determining a user's exercise state and physical condition. Here, the user's exercise state determination may be performed using the acceleration and angular velocity data received from the IoT exercise machine 100, and the user information stored in the database unit. That is, the user's determination of the motion state means determining how many times the user performed the motion motion (i.e., determining the motion state).

For example, a motion recognition algorithm for determining whether or not a user performs motion can be implemented as follows.

First, noise is filtered from raw data measured by the acceleration sensor 111 and the gyro sensor 112 through a DTW (Dynamic Time Wrapping) algorithm and a Kalman Filter algorithm.

Then, training data is accumulated for each exercise (for example, about 140 movements) with the filtered data, and a standard value serving as a reference is derived through a data mining technique.

Finally, the sensor data and the user's body information are used to determine whether the user has performed the corresponding motion operation through a decision tree. In this way, it is possible to grasp how many kinds of exercise movements the user has performed.

For example, when a dumbbell curl is performed by a man classified as having low exercise capacity at a height of 170 to 180 cm, the standard value for determining the exercise frequency of the exercise is 80. This standard value is a value determined by the training data. If the value obtained by filtering the acceleration and angular velocity sensor occurring during exercise by the male reaches a standard value of 80 or more, it is judged that the dumbbell curling has been performed once.

Next, the user's physical condition determination is performed using the heart rate data received from the IoT exercise device 100 and the user information (i.e., the user's body information previously entered and stored). The result of the determination of the user's physical condition can be used to control the reproduction of the motion map video to control the user's motion.

Next, the motion picture reproduction adjusting module 222 adjusts the reproduction position of the motion map moving picture according to the result of the determination of the user's physical condition.

For example, assuming that a user who has been judged to have a physical strength level of 2 by pre-inputted user information watches the exercise map video file (A.mp4) with a total reproduction time of 15 minutes (900 seconds) , The playback position of the exercise map video file can be adjusted as follows.

When the user reaches the maximum heart rate of 85% or more during the course of following the exercise operation while watching the A-1 portion of the A.sup.mp4 file for 90 seconds, the exercise map video file (A.mp4) Is reproduced for the user's health, the reproduction position is adjusted to the A-2, which is the aerobic exercise image with low exercise intensity, or the rest image portion, in the A-1 portion being reproduced.

When the time is over 1 minute after the reproduction of the motion map video is regulated or when the measured heart rate reaches 60% or less of the maximum heart rate, the portion of the high intensity aerobic exercise image having higher difficulty than the existing image portion is reproduced The position is adjusted.

Also, before the user starts the exercise, the motion picture reproduction control module 222 selects and reproduces the exercise map video file corresponding to the exercise type and intensity suitable for the user based on the user information stored in the database unit 230 do.

Herein, the user information may include, for example, a body mass index (BMI) (body mass index = body weight (kg) divided by a body mass index) calculated from the user's body information (e.g., sex, age, weight, (㎡)) information, maximum oxygen uptake 5 cardiopulmonary endurance test information through interviews, and so on.

Therefore, based on such user information, it is possible to select a suitable exercise instruction video file by judging the type and strength of the exercise according to the user's physical strength after evaluating the norm through the [National Health Promotion Survey] data.

Next, the feedback generation module 223 generates feedback information including at least one of the exercise name, exercise frequency, and consumed calories performed using the user information and the result of the determination of the user's exercise state.

Next, the database unit 230 stores user information and a motion map video file. Here, the user information includes body information such as a user ID, an age, a key, a weight and the like inputted in advance by a user.

For example, the questionnaire information may include information through the following paperwork.

Here, the motion map moving picture is stored as a motion picture file for each motion type and intensity. One exercise map video file may be composed of three sections, i.e., a motion introduction section, a motion operation section, and a finishing motion section.

In the motion introducing section, an example of a motion motion to be performed is reproduced, and an image that briefly introduces a motion name, an effect, a precautions, and the like is reproduced. The actual motion image is reproduced in the motion operation period and the light stretching and finishing motion image after the actual motion operation is completed in the finishing motion interval.

Next, at the start of the exercise of the user, the display unit 240 reproduces and displays the exercise map video file corresponding to the selected exercise type and strength based on the user information. On the other hand, the reproduction of the exercise map moving image file is controlled and displayed by the moving image reproduction adjustment module 222 during the movement of the exercise. Accordingly, the user can exercise by appropriately adjusting the exercise intensity and the exercise amount according to his or her own state.

The functions of each part of the computing device 200 may be implemented entirely in one computing device or may be distributed in various computing devices.

FIG. 5 is a flowchart of a method of exercising according to a preferred embodiment of the present invention. Referring to FIG. 5, the exercise instruction method uses a exercise instruction system 10 including the IoT exercise device 100 and the computing device 200.

The exercise instruction method includes a step S2 of establishing a wireless communication connection with the computing device 200 and the IoT exercise device 100, a step S4 of reproducing a selected exercise map video file based on previously input user information ); The IoT exercise device 100 senses at least one of the motion acceleration of the user, the angular velocity of the user, and the heart rate of the user when the IoT exercise device 100 senses the start of the user's motion (S9) of determining the user's exercise state and physical condition using the sensor data received from the IoT exercise device (100), and a step (S9) of determining whether the computing device And controlling the reproduction of the motion map moving picture according to a result of the determination of the physical condition of the user (S10).

Here, the step S5 of sensing the start of the user's motion activates the IoT exercise apparatus 100 so that the sensor unit 110 starts the measurement while the acceleration sensor 111 of the step-down type low power mode senses the motion .

Here, the step S9 of determining the motion state and the body state of the user may be performed by using the acceleration and angular velocity data received from the IoT exercise device 100 and the user information inputted in advance, The type and the number of the exercise operation). In addition, the physical condition of the user can be determined using the heart rate data received from the IoT exercise device 100 and the user information.

Here, in step S 10 of regulating the reproduction of the motion map moving image, the reproduction position of the motion map moving image is adjusted according to the result of determining the user's physical condition.

For example, if the user reaches 85% of the maximum heart rate while following the exercise operation while watching the A-1 portion of the aerobic exercise image of 90 seconds among the A.mp4 files, the exercise map video file (A.mp4) Is reproduced for the user's health, the reproduction position is adjusted to the A-2, which is the aerobic exercise image with low exercise intensity, or the rest image portion, in the A-1 portion being reproduced.

After the reproduction of the exercise map video is regulated, when the time exceeds 1 minute or reaches 60% of the maximum heart rate, the playback position is adjusted to reproduce the portion of the high intensity aerobic exercise image, do.

In addition, the exercise instruction method may further include: (S1) inputting user information through a exercise map application installed in the computing device (200) before the step (S2) of forming the wireless communication connection; (Step S3) of transmitting the maximum heart rate data of the user calculated from the user information to the IoT exercise device 100. [

Here, the user information may include user body information (e.g., age, key, weight, etc.) and survey information.

Here, the maximum heart rate data of the user may be obtained, for example, by using the maximum heart rate calculation formula as shown in Equation (1) used in exercise physiology.

Step S1 of inputting the user information is a step of inputting a user ID, user's body information, questionnaire information, etc. through a dedicated exercise map application installed in the computing device 200 by the user. This information entry is entered once initially, but can be modified later.

The step S1 of inputting the user information may also include inputting the identification information such as the user logging into the exercise instruction application before starting the exercise. Accordingly, even when a plurality of users use the same computing device 200, they can receive a fitness map suitable for each user, and can receive a fitness map suitable for the user even when logged in from another computing device 200.

In addition, the exercise instruction method may be configured such that the IoT exercise device 100 generates light of a specific color on one side of the surface of the IoT exercise device 100 according to the exercise intensity determined using the maximum heart rate data and the measured heart rate data And outputting it to the intensity display unit 140 (S7).

In addition, the exercise instruction method may include at least one of a exercise name, a number of exercises, and consumed calories performed using the user information and a result of determining a user's exercise state at the end of the user's exercise, And generating and providing feedback information (e.g., performed exercise name, number of exercises, consumed calories, comments, etc.) (S11).

FIG. 6 shows a process of reproducing a motion map moving picture according to a preferred embodiment of the present invention. The exercise map moving image file 600 stored in the database unit 230 is stored for each exercise type and intensity.

The exercise map video file 600 includes an exercise introduction section 610 for describing a corresponding exercise, a exercise operation section 620 for showing an actual exercise operation, and a finishing operation section 630 for displaying an action for finishing the exercise (See Fig. 6 (a)).

Here, the motion introduction section 610 may include an image that briefly introduces an example image of a motion motion to be performed, a motion name, an effect, and a note.

The motion motion section 620 may include rest interval images between the motion map images of the respective exercise attitudes and the exercise map images of the respective exercise attitudes.

The finishing operation period 630 may include light stretching and finishing motion images to stabilize the user's body after exercise.

At the start of the user's exercise, the original motion map video file is reproduced as it is, but during the exercise, the reproduction position can be adjusted according to the user's physical condition.

For example, as shown in (2) of FIG. 6, when the maximum heart rate of the user reaches 85% or more during reproduction (1) of the aerobic motion image A image, B part (②-ⓐ), or the break video part (②-ⓑ).

Also, when the playback time of the ③-ⓐ or ③-ⓑ part of the break video part exceeds 1 minute or the maximum heart rate of the user reaches 60% or less, a high intensity aerobic exercise C image part (④-ⓐ, ④-ⓑ) and played back (⑤).

7 is an exemplary screen of a motion map moving picture according to a preferred embodiment of the present invention. 7, a corresponding exercise operation name 710 (e.g., a shoulder press and a squat) is displayed at the upper left of a screen 700 on which a motion map moving image is reproduced, and in the lower right side, / Total number of repetitions (eg 3/8).

Since the screen of Fig. 7 is only one example, it may be displayed at other positions that do not interfere with the viewing of the exercise map video.

Various embodiments of the present invention have been described above. Nevertheless, it should be understood that the foregoing description is intended to be illustrative and not restrictive of the scope of the invention, which is defined by the following claims. Accordingly, other embodiments may also fall within the scope of the technical idea as defined in the following claims. That is, those skilled in the art can make various modifications without departing from the scope of the present invention.

10: Exercise guidance system
100: IoT fitness equipment
110: sensor unit 111: heart rate sensor
112: acceleration sensor 113: gyro sensor
120: control unit 130:
140: Strength display part 150: Weight weight
200: computing device
210: communication unit 220: processing module
221: user status determination module 222: video playback control module
223: feedback generation module 230:
240:
600: exercise map video file 610: exercise introduction section
620: motion motion section 630: finishing motion section
700: motion map video playback screen 710: motion motion name
720: Number of repetition of exercise motion

Claims (13)

An IoT exercise device for measuring at least one of a motion acceleration during a user's motion, a motion angular velocity, and a user's heart rate with a sensor and displaying the exercise intensity; And
A computing device that receives sensor data measured by the IoT exercise device to determine a user's exercise state and physical condition and provides exercise map information to a user,
Wherein the exercise map information includes a sports map video whose reproduction is controlled according to a physical condition of the user,
The IoT exercise device includes:
A sensor unit including at least one of an acceleration sensor for measuring a motion acceleration during a user's motion, a gyro sensor for measuring a kinetic angular velocity, and a heart rate sensor for measuring a heart rate of a user;
A communication unit for transmitting measured sensor data to the computing device and for receiving a user's maximum heart rate data from the computing device;
A strength indicator for outputting light of a specific color according to the exercise intensity determined using the maximum heart rate data and the heart rate data measured by the heart rate sensor; And
And a controller for controlling the sensor unit, the communication unit, and the intensity display unit,
The computing device includes:
A communication unit for transmitting the user's maximum heart rate data to the IoT exercise device and receiving sensor data measured from the IoT exercise device;
A user state determination module for determining a user's exercise state and a body state by using user information and sensor data received from the IoT exercise machine, a video playback control module for controlling playback of the exercise map video according to a result of determining the user's physical condition, A control module, and a feedback generation module for analyzing the motion results and generating feedback information to be provided to a user;
A database unit for storing user information including body information of the user and questionnaire information, and a motion map video by exercise type and strength; And
And a display unit for displaying a motion map video,
Wherein the user state determination module comprises:
And a control unit for determining a motion state of the user by using the acceleration and angular velocity data received from the IoT exercise machine and the user information stored in the database unit and controlling the user's body state using the heart rate data received from the IoT exercise machine and the user information Lt; / RTI >
Wherein the moving picture playback control module comprises:
Wherein the control unit controls the reproduction position of the motion map moving picture according to the result of the determination of the physical condition of the user. delete delete delete delete 2. The apparatus of claim 1,
Wherein the feedback information generating unit generates the feedback information including at least one of the exercise name, the exercise frequency, and the consumed calories performed using the user information and the result of the determination of the user's exercise state. delete An IoT exercise device for measuring at least one of a motion acceleration, a kinetic angular velocity and a user's heart rate during a user's exercise and displaying the exercise intensity, and a controller for receiving the sensor data measured by the IoT exercise device, A method of training a movement map system comprising a computing device for determining a state and providing a user with exercise map information,
The computing device and the IoT exercise device establishing a wireless communication connection;
Reproducing a selected exercise map video file based on pre-input user information;
When the user starts to exercise, the IoT exercise machine senses the start of the user's exercise;
Measuring at least one of a user's motion acceleration, a kinetic angular velocity, and a heart rate by the IoT exercise device;
Determining a user's exercise state and physical condition using sensor data received from the IoT exercise device; And
And controlling the reproduction of the motion map moving picture according to a result of the computing device determining the physical condition of the user,
Wherein the step of determining the user's exercise state and physical condition comprises:
Determining a user's state of motion using the acceleration and angular velocity data received from the IoT exercise device and pre-inputted user information, determining the user's physical condition using the heart rate data received from the IoT exercise device and the user information and,
Wherein the step of adjusting the reproduction of the motion-
And adjusting a reproduction position of the motion map moving picture according to a result of determining the user's physical condition. delete delete 9. The method of claim 8, further comprising: prior to forming the wireless communication connection,
Inputting user information through a exercise map application installed in the computing device; And
Further comprising: transmitting, by the computing device, the user's maximum heart rate data calculated from the user information to the IoT exercise device,
Wherein the user information includes user body information and questionnaire information. 12. The method of claim 11,
And outputting the light of a specific color to the intensity display unit formed on one side of the surface of the IoT exercise machine in accordance with the exercise intensity determined using the maximum heart rate data and the measured heart rate data by the IoT exercise device . 13. The method of claim 12,
And generating and providing feedback information including at least one of a exercise name, a number of exercises, and consumed calories performed using the user information and a result of determining the user's exercise state at the end of the exercise of the user Wherein the method comprises the steps of:

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