KR20250053378A - Apparatus and method for providing exercise programs - Google Patents

Abstract

A device and method for providing a user-customized exercise program using user motion sensing, plantar pressure sensing, and an arm with real-time angle/tension control are disclosed. The exercise program providing device according to one embodiment may include: a main body; one or more arms rotatably provided on the main body and including a cable connected to a load; a sensor unit including a load sensor measuring a load applied to the cable; an interface unit for inputting/outputting data; and a control unit for determining at least one of an exercise program type, an amount of load, a number of times, an exercise sequence, and an angle of the arm based on user information input through the interface unit and a measurement value of the sensor unit.

Description

{Apparatus and method for providing exercise programs}

The present invention relates to a device and method for providing a user-customized exercise program by using user motion sensing, plantar pressure sensing, and an arm with real-time angle/tension control.

Existing exercise devices only provided simple information such as the weight of the load, the number of times exercise was performed, the exercise time, and the speed, but recently, technology that provides exercise programs by considering the user's health status or physical condition is being studied. However, the currently developed exercise devices only provide fixed data and do not monitor the user's exercise status and adaptively change the exercise program. In such cases, if the recommended exercise program does not fit the user, exercise efficiency may decrease or injury may occur.

Korean Patent No. 10-2544534 discloses the features of a service providing device that configures a user's exercise program using the user's health data.

The purpose of this invention is to provide a device and method for providing a user-customized exercise program by using user motion sensing, plantar pressure sensing, and an arm that performs real-time angle/tension adjustment.

According to one aspect, an exercise program providing device may include: a main body; one or more arms rotatably provided on the main body and including a cable connected to a load; a sensor unit including a load sensor measuring a load applied to the cable; an interface unit for inputting and outputting data; and a control unit that determines at least one of an exercise program type, an amount of load, the number of times, an exercise sequence, and an angle of the arm based on user information input through the interface unit and a measurement value of the sensor unit.

The sensor unit may further include at least one of a camera for measuring at least one of the user's movements, posture, and body characteristics, and a plantar pressure sensor for measuring the user's balance.

The user information may include at least one of the user's physical condition data and the user's disease data.

The control unit searches for one or more other users having similar physical conditions and diseases based on at least one of the input user's physical condition data and the user's disease data, and further determines at least one of the user's exercise program type, load, number of times, exercise sequence, and arm angle based on the searched one or more other users' exercise data.

The control unit may compare the measured values of the sensor unit with the exercise data of one or more other users that have been searched, and if a difference exceeding a predetermined range occurs, the control unit may re-determine at least one of the exercise program type, load, number of times, exercise sequence, and arm angle.

The control unit may compare the measured values of the sensor unit for each type of exercise program with the exercise data of one or more other users that have been searched, and if a difference exceeds a predetermined range occurs, the recommendation weight for the type of exercise program for which the difference occurred may be increased.

The control unit may analyze a muscle causing left-right imbalance based on at least one of the left-right load measurement values measured by the load sensor and the left-right plantar pressure measurement values measured by the plantar pressure sensor, if the user's left-right balance differs by a predetermined range or more, and may increase a recommendation weight for an exercise program type that can improve the left-right balance of the analyzed muscle.

User information may include information about whether the user uses a wheelchair.

The control unit may exclude exercise programs that require the user to stand up and assume a posture from among the exercise programs when the user uses a wheelchair.

The control unit can determine the angle of the arm according to the type of exercise program to suit the wheelchair user when the user uses a wheelchair.

The exercise program providing device further includes a driving unit for adjusting an angle of one or more arms, and the control unit can control the driving unit to adjust the angle of the one or more arms.

The exercise program providing device further includes a load control unit for controlling a load applied to the cable, and the control unit can control the load control unit to control the load applied to the cable.

According to one aspect, a method performed in a computing device having one or more processors and a memory storing one or more programs executed by the one or more processors, the method comprising: receiving user information from a user; and determining at least one of an exercise program type, a load, a number of times, an exercise sequence, and an arm angle based on the user information and measurements measured by one or more sensors.

Exercise programs can be provided according to the user's physical condition and disease status.

Additionally, the exercise program and exercise setting status provided can be adaptively changed through real-time measurement.

Figure 1 is a configuration diagram of an exercise program providing device according to one embodiment.
Figure 2 is a configuration diagram of an exercise program providing device according to one embodiment.
Figure 3 is a configuration diagram of a control unit according to one embodiment.
Figures 4 to 7 are exemplary diagrams for explaining the operation of an exercise program providing device according to an example.
Figure 8 is a flowchart illustrating a method for providing an exercise program according to one embodiment.

Hereinafter, an embodiment of the present invention will be described in detail with reference to the attached drawings. In describing the present invention, if it is judged that a detailed description of a related known function or configuration may unnecessarily obscure the gist of the present invention, the detailed description thereof will be omitted. In addition, the terms described below are terms defined in consideration of the functions in the present invention, and these may vary depending on the intention or custom of the user or operator. Therefore, the definitions should be made based on the contents throughout this specification.

Hereinafter, embodiments of an exercise program providing device and method are described in detail with reference to drawings.

Figures 1 and 2 are configuration diagrams of an exercise program providing device according to one embodiment.

According to one embodiment, an exercise program providing device (100) may include a main body (110), one or more arms (120) rotatably provided on the main body (110) and including a cable (125) connected to a load, a sensor unit (130) including a load sensor measuring a load applied to the cable, an interface unit (140) for data input/output, and a control unit (150) that determines at least one of an exercise program type, an amount of load, a number of times, an exercise sequence, and an angle of an arm based on user information input through the interface unit (140) and a measurement value of the sensor unit. According to one example, the sensor unit (130), the interface unit (140), and the control unit (150) may be provided on the inside or the outside of the main body.

Referring to FIG. 1, the arms (120) may be provided as a pair, and may be provided rotatably on opposite sides of the main body (110). The angle of the arms (120) may be manually adjusted by the user, or may be automatically adjusted by a predetermined driving device. For example, the cable (125) may be provided on the inside or outside of each arm (120), and may be directly connected to a load through the arm (120). The user may perform weight exercise using the load by pulling the cable.

For example, the interface unit (140) may be provided on one surface of the main body (110). For example, the interface unit (140) may be at least one of a touch screen and a monitor. As another example, the interface unit (140) may include a communication module capable of communicating with the user terminal (200) and the server (300). For example, the interface unit (140) may receive data from a user or transmit data to a user through communication with the user terminal (200). In addition, the interface unit (140) may search for data about another user or store data of a user through communication with the server (300).

According to one embodiment, the sensor unit (130) may further include at least one of a camera (131) for measuring at least one of the user's movement, posture, and physical characteristics, and a plantar pressure sensor (133) for measuring the user's balance. For example, the camera (131) may be provided to photograph the direction in which the arm (120) is derived. For example, the control unit (150) may adjust the photographing angle of the camera (131) according to the angle of the arm (120). Through this, the user who is exercising can be photographed. For example, the plantar pressure sensor (133) may be in the form of a footrest, and may measure the user's left-right balance by measuring the pressure of each of the user's soles.

For example, an exercise program providing device (100) is equipped with a display facing the user, a motion sensor (camera) capable of performing motion sensing by photographing part or all of the user's body, and a predetermined arm, so that the angle of the arm and the load applied to the cable can be adjusted in real time so that the user can perform a pulley exercise or a rowing exercise by holding a handle of a cable built into the arm or wearing a predetermined wearable connected to the cable.

For example, the exercise program providing device (100) may be additionally installed with a 'rowing exercise configuration' that allows the user to exercise in a sitting position in order to support the user's rowing exercise. As another example, the exercise program providing device (100) may be additionally installed with a plantar pressure sensor (balance pad) that can measure the user's plantar pressure, so as to acquire and analyze the user's plantar pressure in real time and support the user's balance exercise by referring to it together with motion sensing data. As another example, the exercise program providing device (100) may provide a motion sensing-based stretching exercise, a pulling exercise, a motion sensing + rowing exercise-based additional configuration, and a motion sensing + plantar pressure sensor (133)-based balance exercise program.

For example, the exercise program providing device (100) can measure changes in the user's posture and movement with the camera (131) equipped during stretching exercise and calculate numerically. In addition, the exercise program providing device (100) can measure the angle of the arm and the load set on the cable and the user's pulling force corresponding thereto during pulling/rowing exercise and evaluate the user's physical condition (muscle strength and endurance) based on this. In addition, the exercise program providing device (100) can measure and calculate numerically how stably the suggested target balance posture is maintained by combining the connected motion sensor (camera) and the plantar pressure sensing data of the plantar pressure sensor (133) during balance exercise.

According to one embodiment, the user information may include at least one of the user's physical condition data and the user's disease data. For example, the physical condition data may include information about height, weight, age, gender, skeletal muscle mass, body fat mass, etc. For example, the disease data may include information about diseases such as diabetes and high blood pressure, and injuries to specific body parts.

According to one embodiment, the control unit (150) may search for one or more other users having similar physical conditions and diseases based on at least one of the input user's physical condition data and the user's disease data, and may determine at least one of the user's exercise program type, load, number of times, exercise sequence, and arm angle based on the searched one or more other users' exercise data. Referring to FIG. 7, the control unit (150) may output information set in the exercise program through the interface unit (140). In addition, the user may arbitrarily adjust the set value through the interface unit (140).

For example, the control unit (150) can obtain information about the degree of muscle training desired from the user, and guide repetitive exercise based on the type/sequence information of exercise items that can be recommended to the user. For example, based on a predetermined number of repetitive exercises, if the user wants muscle training, the eccentric can be set high to increase the amount of repetitive exercise, and if the user wants muscle maintenance or lower intensity exercise, the eccentric can be set low to lower the amount of repetitive exercise.

For example, a user can perform membership registration, membership authentication, etc. before exercising through the display of the exercise program providing device (100). The exercise program providing device (100) can obtain the user's gender, age, height, and weight data and information on a disease or physical disability that may affect exercise performance by requesting the user to input such data when registering or authenticating the user.

For example, the exercise program providing device (100) can correct the type and sequence of the exercise program recommended to the user by referring to the exercise program performance history of other similar users based on at least one of the user's physical condition data and the user's disease data. That is, the exercise program providing device (100) can correct and recommend the recommended exercise program type and sequence for each user while the recommended exercise program type and sequence are configured. As another example, the exercise program providing device (100) can provide the exercise program type and sequence tailored to the user.

For example, one or more exercise program providing devices (100) may be connected to a network, and member information may be managed as a database on a server. The DB may be provided to each user, and the exercise program history performed may be recorded so that it corresponds to each user.

According to one example, the exercise program providing device (100) can measure the user's exercise-related physical condition. The exercise program providing device (100) can use a camera (131), an arm, and a plantar pressure sensor (133) in combination as needed for each measurement evaluation item. Referring to FIG. 4, the exercise program providing device (100) can evaluate static posture evaluation, dynamic posture evaluation, stable muscle strength evaluation, CLOB balance evaluation, mobility evaluation, and gait evaluation.

For example, the exercise program providing device (100) can evaluate the user using an artificial neural network trained to determine whether the user's posture is within a normal range. For example, the learning data of the artificial neural network can include at least one of the camera (131) measurement data, arm angle/load data, and plantar pressure sensor (133) measurement data of the user who performed the exercise measurement. In addition, the learning data can be used for learning by labeling the gender, age, height, and weight data of the user who performed the exercise measurement and the disease status (including whether or not the user uses a wheelchair) data as metadata.

For example, an artificial neural network may be composed of a single model, or may be composed of multiple models trained with training data of multiple groups grouped by a predetermined criterion. For example, when using a single model, a high weight can be given to the similarity of the user, and when using multiple models, the accuracy of the analysis can be improved by selecting and using an artificial neural network model with a high similarity to the user.

As another example, the artificial neural network may be composed of multiple models learned according to measurement evaluation items. For example, the exercise program providing device (100) may include multiple artificial neural network models learned through learning data according to each measurement evaluation item, such as a model for evaluating static posture, a model for evaluating dynamic posture, etc.

According to one embodiment, the control unit (150) may compare the measured value of the sensor unit (130) with the exercise data of one or more other users that has been searched, and if a difference exceeding a predetermined range occurs, at least one of the exercise program type, load, number of times, exercise sequence, and arm angle may be re-determined.

Referring to FIG. 3, the control unit (150) may include an artificial neural network (155) trained to estimate the appropriateness of the load based on the sensor values measuring the user's exercise state. To this end, the artificial neural network (155) may be trained using training data in which the appropriateness of the load is labeled in the load sensor measurement values and camera image data. For example, the appropriateness of the load may be output as a probability (%). For example, if the current given load is set to be output as 100% when it is appropriate for the user, the artificial neural network (155) may output a value exceeding 100% when the load is excessive, and may output a value less than 100% when the load is insufficient. Through this, the control unit (150) may increase or decrease the current load amount using the output of the artificial neural network (155).

As another example, the control unit (150) may change the type of exercise program, or change the number of times of exercise and the exercise sequence according to the load appropriateness estimation value. For example, if there is an exercise program whose load appropriateness estimation value is outside a predetermined range, the exercise program may not be recommended or applied to the user based on the judgment that it is not suitable for the user. As another example, the control unit (150) may increase the number of times when the load is insufficient and decrease the number of times when the load is excessive according to the load appropriateness estimation value.

According to one embodiment, the control unit (150) may compare the measured value of the sensor unit (130) for each type of exercise program with the exercise data of one or more other users that have been searched, and if a difference exceeding a predetermined range occurs, the recommendation weight for the type of exercise program for which a difference has occurred may be increased.

According to one example, the control unit (150) can capture the state in which the user assumes the suggested posture using a camera to evaluate the static posture, and record the state in which the user performs the suggested movement using the camera for a predetermined period of time to evaluate the dynamic posture. The control unit (150) can set the angle of the arm and the load of the cable to correspond to a predetermined muscle utilization posture using a target muscle part by using at least one of the load sensors connected to the camera and the cable, and can evaluate stable muscle strength by measuring the posture of the user assuming the muscle utilization posture and the user's cable pulling force. The control unit (150) can evaluate the CLOB balance by obtaining at least one of the posture of the user assuming the suggested balanced posture and the plantar pressure data applied in the posture taken by the user by using at least one of the camera and the plantar pressure sensor. The control unit (150) can evaluate the range of joint motion by taking a picture of how far the user can rotate the suggested joint part using the camera.

According to one embodiment, the user information may include information on whether or not the user uses a wheelchair. According to one embodiment, the control unit (150) may exclude exercise programs that require standing up and taking a posture from among exercise program types when the user uses a wheelchair. For example, the control unit (150) may exclude items related to standing movements (gait evaluation) because wheelchair users cannot perform standing postures.

According to one embodiment, the control unit (150) can determine the angle of the arm according to the type of exercise program to suit the wheelchair user when the user uses a wheelchair. For example, the control unit (150) can set the angle of the arm low based on the sitting posture. In addition, since the use of the plantar pressure sensor is impossible, the balance evaluation can be performed without the plantar pressure sensor.

For example, if there is a specific evaluation that is judged to differ from the measurement values of other users similar to the user by a predetermined range or more, the control unit (150) can assign a weight to the exercise items related to the specific evaluation so that the recommendation priority can be increased.

According to one embodiment, if the user's left-right balance differs by a predetermined range or more based on at least one of the left-right load measurement values measured by the load sensor and the left-right plantar pressure measurement values measured by the plantar pressure sensor for each type of exercise program, the control unit (150) analyzes the muscle causing the left-right imbalance and increases the recommendation weight for the type of exercise program that can improve the left-right balance of the analyzed muscle.

For example, in the case of evaluation items related to 'muscles existing symmetrically left and right/up and down' as a result of the analysis, the control unit (150) always performs evaluations using each symmetrical muscle as a set, and when the difference between the set evaluation results exceeds a predetermined threshold, a weight can be given so that the recommendation priority of an exercise item utilizing a specific muscle judged to be more abnormal can be increased.

Figures 5 and 6 illustrate a method for providing information on exercise training and exercise programs. For example, an exercise item with a higher recommendation priority may be displayed at the top of the exercise item list or with a more prominent graphic applied. For example, the control unit (150) may output one or more exercise types (exercise 1 to exercise 6) related to a given training, as in Figure 5(c). At this time, the control unit (150) may position an exercise with a higher recommendation priority at the top of the list.

According to one embodiment, the exercise program providing device (100) may further include a driving unit for adjusting the angle of one or more arms. Through this, the control unit (150) may control the driving unit to adjust the angle of one or more arms. For example, in the case of a standing movement, the angle of the arm may be adjusted according to the height of the user, and in the case of a wheelchair user, the angle of the arm may be adjusted to reflect this.

According to one embodiment, the exercise program providing device (100) may further include a load adjusting unit that adjusts the load applied to the cable. For example, the load adjusting unit may adjust the load by adjusting the number of weight plates, springs, etc. connected to one end of the cable. At this time, the control unit (150) may control the load adjusting unit to adjust the load applied to the cable.

Figure 8 is a flowchart illustrating a method for providing an exercise program according to one embodiment.

According to one embodiment, the exercise program providing device comprises one or more processors and

A computing device having a memory storing one or more programs executed by the one or more processors may be included. The exercise program providing device may receive user information from a user (810), and determine at least one of an exercise program type, a load, a number of times, an exercise sequence, and an arm angle based on the user information and the measured values from one or more sensors (820).

In the embodiment of Fig. 8, any content that overlaps with that described in Figs. 1 to 7 has been omitted.

One aspect of the present invention can be implemented as computer-readable codes on a computer-readable recording medium. Codes and code segments implementing the above program can be easily inferred by a computer programmer in the art. The computer-readable recording medium can include all kinds of recording devices that store data that can be read by a computer system. Examples of the computer-readable recording medium can include ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical disk, etc. In addition, the computer-readable recording medium can be distributed to computer systems connected to a network, and can be written and executed as computer-readable codes in a distributed manner.

The present invention has been described so far with reference to preferred embodiments thereof. Those skilled in the art will understand that the present invention can be implemented in modified forms without departing from the essential characteristics of the present invention. Accordingly, the scope of the present invention should not be limited to the above-described embodiments, but should be interpreted to include various embodiments within a scope equivalent to the contents described in the patent claims.

100: Exercise program providing device
110: Body
120: Cancer
125: Cable
130: Sensor section
131: Camera
133: Foot pressure sensor
140: Interface section
150: Control Unit

Claims (13)

entity;
One or more arms rotatably provided on the above body and including a cable connected to a load;
A sensor unit including a load sensor for measuring a load applied to the above cable;
Interface section for data input/output; and
An exercise program providing device, comprising a control unit that determines at least one of an exercise program type, load, number of times, exercise sequence, and arm angle based on user information input through the interface unit and a measurement value of a sensor unit.
In paragraph 1,
The above sensor part
A camera that measures at least one of the user's movements, posture, and body characteristics; and
An exercise program providing device further comprising at least one plantar pressure sensor for measuring the user's balance.
In paragraph 1,
The above user information is
An exercise program providing device including at least one of a user's physical condition data and a user's disease data.
In the third paragraph,
The above control unit
Search for one or more other users with similar physical conditions and diseases based on at least one of the input user's physical condition data and the user's disease data,
An exercise program providing device that determines at least one of a type of exercise program, a load, the number of times, an exercise sequence, and an arm angle of a user based on exercise data of one or more other users that have been retrieved.
In paragraph 4,
The above control unit
An exercise program providing device that compares the measured value of the sensor unit with the exercise data of one or more other users and, if a difference exceeding a predetermined range occurs, re-determines at least one of the exercise program type, load, number of times, exercise sequence, and arm angle.
In paragraph 4,
The above control unit
An exercise program providing device that compares the measured values of the sensor unit and the exercise data of one or more other users by exercise program type, and if a difference exceeds a predetermined range occurs, increases the recommendation weight for the exercise program type in which the difference occurred.
In paragraph 4,
The above control unit
An exercise program providing device that analyzes a muscle causing a left-right imbalance when a user's left-right balance differs by a predetermined range or more based on at least one of the left-right load measurement values measured by a load sensor and the left-right plantar pressure measurement values measured by a plantar pressure sensor according to the type of exercise program, and increases a recommendation weight for an exercise program type that can improve the left-right balance of the analyzed muscle.
In paragraph 1,
An exercise program providing device, wherein the above user information includes information on whether a wheelchair is used.
In Article 8,
The above control unit
An exercise program providing device that excludes exercise programs that require standing up and assuming a posture among the types of exercise programs when the user uses a wheelchair.
In Article 8,
The above control unit
An exercise program providing device that determines the angle of the arm according to the type of exercise program to suit the wheelchair user when the user uses a wheelchair.
In paragraph 1,
Further comprising a driving unit for adjusting the angle of one or more of the arms,
An exercise program providing device, wherein the control unit controls the driving unit to adjust the angle of the one or more arms.
In paragraph 1,
It further includes a load control unit for controlling the load applied to the above cable,
An exercise program providing device, wherein the control unit controls the load adjusting unit to adjust the load applied to the cable.
one or more processors, and
A method performed in a computing device having a memory storing one or more programs executed by said one or more processors,
A step of receiving user information from a user; and
A method for providing an exercise program, comprising a step of determining at least one of an exercise program type, a load, the number of times, an exercise sequence, and an arm angle based on the user information and measurements measured from one or more sensors.