KR20220098065A - Physical exercise ability measuring system and method for measuring physical exercise ability - Google Patents

Abstract

An exercise capacity evaluation system according to an embodiment of the present invention includes: an exercise intensity adjustment unit which determines a user's exercise intensity in real time; a sensing unit which collects measurement data by measuring the user's body information a plurality of times; a calculation unit which calculates the user's real-time remaining energy amount; and a control unit which transmits and receives data and controls driving of the exercise intensity adjustment unit, the sensing unit, and the calculation unit. The calculation unit includes: a search unit selecting at least one comparison formula model having a high similarity with the measurement data according to the exercise intensity among a plurality of previously stored formula models; and an evaluation unit comparing the comparison formula model selected from the search unit with the measured data according to the exercise intensity in real time, and predicting the amount of remaining energy of the user in real time based on the calculated comparison value. Accordingly, the evaluation accuracy is improved.

Description

Exercise ability evaluation system and exercise ability evaluation method

The present invention relates to a system and an exercise ability evaluation method for evaluating a user's exercise ability, and more particularly, to a system for detecting an all-out time point of a user with reduced evaluation time and improved evaluation accuracy; and it's about how

In exercising the equipment, the level of exercise ability varies according to the physical characteristics of each user. If the user performs an exercise with an intensity that is not suitable for his/her physical condition, an injury or side effect may occur, or the exercise effect may be reduced.

In general, as a way to minimize injuries and side effects that may occur during exercise, and maximize the effect of exercise, exercise is prescribed by a professional trainer. However, it is somewhat costly to hire a professional trainer, and the exercise prescription provided to the user may be inappropriate depending on the trainer's career and skill deviation, and thus the user's satisfaction may be reduced.

SUMMARY OF THE INVENTION An object of the present invention is to provide a system and method for evaluating a user's exercise ability, which shortens a user's exercise ability evaluation time and improves the accuracy of evaluation.

When performing an exercise according to an embodiment of the present invention, an exercise intensity adjusting unit that determines the user's exercise intensity in real time, and the user's body information performing an exercise in response to a specific exercise intensity determined by the exercise intensity adjusting unit are measured a plurality of times a sensing unit for collecting measured data, a calculating unit for calculating the amount of real-time remaining energy of the user based on the measured data, and transmitting and receiving data between the exercise intensity adjusting unit, the sensing unit and the calculating unit, and the exercise at least one comparative formula model having a high degree of similarity to the measured data according to the exercise intensity among a plurality of pre-stored formula models; a search unit for selecting a Includes evaluation section.

The evaluation unit predicts the user's all-out time through the real-time residual energy information, and the all-out time is a state in which the user's energy is completely depleted and can no longer exercise. is defined

The sensing unit measures at least one of a user's exercise speed, exercise acceleration, muscle contraction state, respiration rate, and heart rate.

The sensing unit includes at least one of a camera, a gyro sensor, an EMG sensor, a heart rate sensor, a pressure sensor, a geomagnetic sensor, an infrared sensor, a laser sensor, an RF sensor, an ultrasonic sensor, and a lung capacity sensor.

The calculator calculates the remaining energy amount by using an adaptive design optimization (ADO) technique.

It further includes an interface for providing the measurement data information or the residual energy information to the user, or providing the exercise intensity value received from the exercise intensity control unit to the user.

It further includes a storage unit for storing the plurality of formula models, the measurement data, and the real-time residual energy amount information.

The calculator calculates 1RM (Repetition Maximum), which is defined as a weight that the user can lift at one time, based on the calculated real-time residual energy amount.

The exercise ability evaluation method according to an embodiment of the present invention includes measuring body information of a user performing an exercise in response to a specific exercise intensity and collecting primary measurement data, the primary measurement among a plurality of pre-stored mathematical models. selecting at least one comparative formula model having a high degree of similarity to data; calculating a first comparison value by comparing the comparison formula model with the first measurement data; Changing the intensity, collecting secondary measurement data by measuring body information of a user performing an exercise in response to the changed exercise intensity, integrating the primary measurement data and the secondary measurement data, the integration Comparing the obtained data with the comparison formula model, calculating a second comparison value, and estimating the user's remaining energy amount based on the second comparison value.

In the step of calculating the second comparison value, when the second comparison value is greater than a predetermined value, another comparison equation model having a high degree of similarity to the integrated data is selected from among the plurality of previously stored equation models. Re-comparison with the aggregated data.

In the step of predicting the amount of residual energy, the user's all-out time point and the user's 1RM (Repetition Maximum) are calculated through the residual energy amount, and the all-out time point is when the user's energy is completely It is defined as a state in which exercise can no longer be performed due to exhaustion, and the 1RM is defined as the maximum weight that the user can lift at one time.

In the step of collecting the first measurement data and the step of collecting the second measurement data, the first measurement data and the second measurement data are the user's movement speed, movement acceleration, and muscle contraction state for the specific exercise intensity. , at least one of respiration rate and heart rate is measured.

According to the present invention, the user's exercise ability evaluation time can be shortened and the accuracy of the evaluation can be improved. In addition, it is possible to provide an exercise prescription suitable for each user's individual physical condition through accurate evaluation.

1 is a block diagram schematically illustrating an exercise ability evaluation system according to an embodiment of the present invention.
2 is a graph exemplarily showing a curve for the amount of residual energy according to time of one user and an all-out time point.
FIG. 3A is a comparative example, and FIG. 3A is a graph illustrating a generally required measurement range when evaluating a user's exercise ability.
3B is a graph illustrating a required measurement range when evaluating exercise ability according to an embodiment of the present invention.
4 is a step diagram of an exercise ability evaluation method according to an embodiment of the present invention.

All the embodiments described below are illustratively shown to help the understanding of the present invention, and may be modified differently from the embodiments described herein and implemented in various embodiments. In addition, in the description of the present invention, if it is determined that a detailed description of a related known function or known component may unnecessarily obscure the gist of the present invention, the detailed description thereof will be omitted.

The accompanying drawings are not drawn to scale in order to help the understanding of the invention, but the dimensions of some components may be exaggerated. Even if they are indicated in , they are indicated with the same symbols as possible.

In addition, in describing the components of the embodiment of the present invention, terms such as first, second, A, B, (a), (b), etc. may be used. These terms are only for distinguishing the elements from other elements, and the essence, order, or order of the elements are not limited by the terms. When it is described that a component is 'connected', 'coupled' or 'connected' to another component, the component may be directly connected, coupled, or connected to the other component, but the component and the other component It should be understood that another element may be 'connected', 'coupled' or 'connected' between elements.

Accordingly, since the embodiments described in this specification and the configurations shown in the drawings are only the most preferred embodiments of the present invention and do not represent all the technical spirit of the present invention, there may be various modified embodiments of the present invention. .

And, the terms or words used in the present specification and claims should not be limited to conventional or dictionary meanings, and the inventor may properly define the concept of the term in order to best describe his invention. Based on the principle, it should be interpreted as meaning and concept consistent with the technical idea of the present invention.

In addition, the present invention is not limited to the embodiments disclosed below, but will be embodied in various different forms, only these embodiments allow the disclosure of the present invention to be complete, and common knowledge in the art to which the present invention pertains It is provided to fully inform the possessor of the scope of the invention, and the present invention is only defined by the scope of the claims.

Also, the singular expression used in this application includes the plural expression unless the context clearly dictates otherwise.

1 is a block diagram schematically illustrating an exercise ability evaluation system according to an embodiment of the present invention.

Referring to FIG. 1 , an exercise ability evaluation system 100 according to an embodiment of the present invention may be used to evaluate the exercise ability of a user performing an exercise. Specifically, the exercise ability evaluation system 100 according to the present embodiment may predict the amount of residual energy or the maximum weight that the user can lift. In this case, in prescribing exercise to the user, since exercise intensity such as weight, repetition number, and exercise time may be determined in response to the user's physical characteristics, the exercise effect of the user may be improved.

The exercise ability evaluation system 100 includes an exercise intensity control unit 110 , a sensing unit 120 , a storage unit 130 , a control unit 140 , a calculation unit 150 , and an interface unit 160 .

The exercise intensity control unit 110 determines the exercise intensity of the user performing the exercise. The exercise intensity may be adjusted by changing the weight, the number of repetitions of the motion, the exercise time, the rest time, and the like. According to this embodiment, the exercise intensity adjusting unit 110 may reset the exercise intensity at a predetermined time interval. The user may perform an exercise in response to the exercise intensity determined by the exercise intensity adjusting unit 110 .

The sensing unit 120 collects measurement data by measuring the user's body information. For example, the sensing unit 120 may measure at least one of a user's exercise speed, exercise acceleration, muscle contraction state, respiration rate, and heart rate. In the present invention, the type of user's body information measured by the sensing unit 120 is not particularly limited. The body information may be an index used by the calculator 150, which will be described later, to calculate the user's remaining energy (fatigue) or the maximum weight that the user can lift.

In this embodiment, the sensing unit 120 may measure the user's body information a plurality of times at predetermined time intervals. That is, the measurement data collected by the sensing unit 120 may be updated at a predetermined time period.

In the present invention, the time period is not particularly limited, and preferably, the time period may be in seconds. Also, the sensing unit 120 may measure the user's body information in response to a time period during which the exercise intensity adjustment unit 110 resets the exercise intensity. Meanwhile, in another embodiment of the present invention, the period in which the sensing unit 120 collects the measurement data may be different from the period in which the exercise intensity adjusting unit 110 resets the exercise intensity.

The sensing unit 120 includes at least one sensor. In this embodiment, the sensing unit 120 may include a plurality of sensors. Illustratively, the sensing unit 120 may include at least one of a camera, a gyro sensor, an electromyography sensor, a heart rate sensor, a pressure sensor, a geomagnetic sensor, an infrared sensor, a laser sensor, an RF sensor, an ultrasonic sensor, and a lung capacity sensor. can

The storage unit 130 stores data. For example, the storage unit 130 stores the exercise intensity data set by the exercise intensity control unit 110 and the measurement data collected by the sensing unit 120 .

The storage unit 130 according to an embodiment of the present invention stores a plurality of mathematical models. The formula models may be pre-stored data before the user performs an exercise using the present exercise ability evaluation system 100 . The formula models may be a collection of measurement data of body information of exercise performers according to exercise intensity.

The control unit 140 transmits and receives data between the exercise intensity adjusting unit 110 , the sensing unit 120 , the storage unit 130 , the calculator 140 , and the interface unit 160 , and the exercise intensity adjusting unit 110 . , the sensing unit 120 , the storage unit 130 , the calculation unit 140 , and the interface unit 160 control each operation.

The calculator 150 processes the exercise intensity data provided from the exercise intensity control unit 110 and the measured data provided from the sensing unit 120 in the form of measurement data of the user according to the exercise intensity.

In this embodiment, the calculator 150 may predict the user's remaining energy amount information using an adaptive design optimization (ADO) technique. The ADO technique is an adaptive experiment optimization technique. Based on experimental data previously performed and accumulated, that is, mathematical models pre-stored in the storage unit 130, parameters for an experiment evaluating a user's exercise ability inductively method to estimate. In this embodiment, the parameter may be exercise intensity.

In this embodiment, the calculation unit 150 compares the processed measurement data with the mathematical models previously stored in the storage unit 130 to determine the user's all-out time point or the user's 1RM (Repetition Maximum). predictable. The all-out time is defined as a state in which the user's energy is completely depleted and can no longer perform the exercise, and the 1RM is defined as the maximum weight that the user can lift at one time.

Specifically, the calculation unit 150 includes a search unit 151 and an evaluation unit 152 .

The search unit 151 selects at least one mathematical model having a high degree of similarity to the measured data according to the exercise intensity from among the plurality of mathematical models pre-stored in the storage unit 130 . The selected one formula model is defined as a comparative formula model. In this embodiment, the search unit 151 may re-search the comparative formula model whenever measurement data is updated.

The evaluation unit 152 calculates a comparison value by comparing the comparison formula model selected from the search unit 151 with the measurement data according to the exercise intensity. Also, the evaluator 152 may predict the amount of real-time remaining energy of the user based on the calculated comparison value. That is, the evaluator 152 may predict the user's real-time residual energy amount based on the probability distribution of previously performed accumulated data.

According to an embodiment of the present invention, the exercise intensity control unit 110 , the sensing unit 120 , the search unit 151 , and the evaluation unit 152 may be repeatedly driven at a predetermined time period interval by the control unit 140 . have. Specifically, the evaluation unit 152 transmits the predicted real-time residual energy amount information to the exercise intensity adjusting unit 110, and the exercise intensity adjusting unit 110 resets the exercise intensity based on the real-time residual energy amount information. In response to the reset exercise intensity, the sensing unit 120 measures the body information of the user performing the exercise. The exercise intensity data and the measured measurement data are again transmitted to the calculator 150 .

The exercise ability evaluation system 100 according to an embodiment of the present invention repeatedly drives the exercise intensity adjusting unit 110 , the sensing unit 120 , and the calculating unit 150 at predetermined time period intervals by using the ADO technique. . Through this, the exercise ability evaluation system 100 may calculate an all-out time point, which is a time point at which the user's real-time residual energy amount is depleted.

The interface unit 160 receives the exercise intensity numerical information provided from the exercise intensity control unit 110 , the measurement data information collected in the sensing unit 120 , and the user's residual energy amount or 1RM information calculated by the calculation unit 150 . provided to the user. The present invention is not particularly limited to the shape of the interface unit 160 . For example, the interface unit 160 may provide the information as an image through a display or as a sound through a speaker.

In addition, although not shown in the drawings, the interface unit 160 according to another embodiment of the present invention may be provided in the form of an exercise device for a user to exercise. In this case, the interface unit 160 may be driven in response to the exercise intensity value received from the exercise intensity adjusting unit 110 . For example, the interface unit 160 may be driven in response to the driving time, weight, number of driving, etc. received from the exercise intensity adjusting unit 110 .

Unlike the embodiment of the present invention, when the user's physical state information is predicted after completely performing a series of motions, that is, when the user's remaining energy amount and 1RM information are not monitored in real time, the exercise intensity is measured in real time. It can be difficult to reset. Accordingly, an exercise prescription of an intensity that is not suitable for the user may be provided. That is, when it is difficult to accurately predict the user's physical condition, a prescription with a higher or lower intensity than the appropriate exercise intensity value for the user may be provided to the user. have. However, according to an embodiment of the present invention, since the user's physical condition is monitored in real time to predict the user's remaining energy amount and 1RM, the accuracy of the user's exercise ability evaluation can be improved. That is, according to the present embodiment, an exercise prescription of an intensity suitable for the user may be provided to the user. In addition, since the user may be provided with an exercise prescription suitable for the user without the help of an experienced health trainer, convenience in performing the exercise may be increased.

In addition, unlike the embodiment of the present invention, in the case of an exercise ability evaluation system that does not use the ADO technique, since the user's body condition information is predicted without a comparative formula model used as a comparison group to predict the user's body condition information, The number of physical condition measurements, exercise intensity values, and settings may be unnecessarily increased. That is, in the case of an exercise ability evaluation system that does not use the ADO technique, it may take a relatively long time to evaluate the user's exercise ability, and the user's exercise ability evaluation accuracy may be deteriorated. However, according to an embodiment of the present invention, by using the ADO technique, it is possible to repeatedly search and compare the comparative formula model to set the number of measurements of the user's body state, the number of exercise intensity values and the number of settings within a suitable range, so that the exercise Ability evaluation time may be shortened, and exercise ability evaluation accuracy may be improved.

2 is a graph exemplarily showing a curve for the amount of residual energy according to time of one user and an all-out time point.

The curve graph shown in FIG. 2 is the amount of remaining energy of the user over time calculated through the present exercise ability evaluation system 100 . The vertical axis value of the curve graph is the amount of residual energy, and it can be seen that the fatigue level of the user increases as time passes. The minimum value of the remaining energy amount is the all-out time P, which means the time when the user's stamina is exhausted. Each of the plurality of measurement values m ₁ to m _n constituting the curve graph includes at least one measurement variable, for example, the measurement variable may be an exercise intensity value. The number of the measured values m ₁ to m _n is the number of valid data among the measured data of the sensing unit 120 for the corresponding measured variable.

3A is a comparative example, and is a graph showing a generally required measurement range when evaluating a user's exercise ability, and FIG. 3B is a graph showing a required measurement range when evaluating an exercise ability according to an embodiment of the present invention. .

Referring to FIG. 3A , unlike this embodiment, when evaluating the exercise ability of the user without using the ADO technique, that is, when calculating the corresponding curve graph without using the ADO technique, refer to setting the measurement variable Since there is no comparative formula model to be used, it is necessary to set an unnecessarily large number of measurement variables to calculate a curve graph. In FIG. 3A , a measurement range required to calculate the corresponding curve graph is indicated by an area A1. However, as shown in FIG. 3B , in the case of the exercise ability evaluation system 100 according to the embodiment of the present invention, since the comparative formula model is referred to to set the measurement variable, a relatively small amount is required to calculate the corresponding curve graph. A number of measurement variables can be set. That is, according to an embodiment of the present invention, a relatively small measurement range A2 may be required to predict the user's body state.

4 is a step diagram of an exercise ability evaluation method according to an embodiment of the present invention.

Referring to FIG. 4 , the exercise ability evaluation method according to an embodiment of the present invention includes a measurement data collection step, a comparative formula model selection step, a comparison value calculation step, a step of predicting the amount of residual energy, and a step of changing the exercise intensity. According to this embodiment, when the steps are completed, the steps may be repeatedly performed by re-collecting the measurement data. In this case, the amount of real-time residual energy can be calculated, and when the above steps are repeatedly performed more than a certain number of times, an all-out time and 1RM can be predicted.

Specifically, first, the body information of a user performing an exercise is measured to collect primary measurement data (S10). At this time, the user performs the exercise to correspond to the specific exercise intensity set by the exercise intensity control unit (110). Thereafter, the search unit 151 selects at least one comparative equation model having a high degree of similarity to the primary measurement data from among the equation models previously stored in the storage unit 130 ( S20 ). The evaluation unit 152 calculates a first comparison value by comparing the comparison formula model with the first measurement data ( S30 ), and transmits the first comparison value information to the exercise intensity control unit 110 . The exercise intensity control unit 110 resets the exercise intensity value of the user based on the first comparison value information. In response to the reset exercise intensity value, the user performs the exercise.

Thereafter, the sensing unit 120 measures the user's body information to collect secondary measurement data (S40). The collected secondary measurement data and primary measurement data are integrated (S50). That is, the secondary measurement data may be partially corrected by the primary measurement data.

Thereafter, the second comparison value is calculated by re-comparing the secondary data with the comparison formula model (S60). In this case, when the second comparison value is greater than the predetermined value, the search unit 151 may select another comparison formula model having a high degree of similarity to the secondary data. The second comparison value is corrected by the comparison value of the secondary data and the reselected comparison formula model. On the other hand, when the second comparison value, which is a comparison value with the previously selected comparison formula model, is less than a predetermined value, the comparison formula model is not reselected and the second comparison value is not corrected.

Thereafter, the evaluation unit 152 predicts the user's remaining energy amount based on the second comparison value (S70).

According to the present embodiment, the above-described series of steps may be repeated a plurality of times (n times) to predict the amount of residual energy in real time. Specifically, the n-1 th collected n-1 th measurement data is integrated with the n-2 th collected n-2 th measurement data, and the corrected n-1 th measurement data is selected repeatedly for the n-1 th time It can be compared with the n-1th comparison formula model (S30). Thereafter, based on the calculated n-1 th comparison value, an n-1 th residual energy amount information may be calculated ( S30 ), and the information is transmitted to the exercise intensity adjusting unit 110 again. The user performs an exercise in response to the exercise intensity reset by the exercise intensity control unit 110, and the sensing unit 120 measures the user's body information to collect the n-th measurement data (S40). Finally, by comparing the n-th measured data with the comparative formula model, the n-th time residual energy information can be obtained.

Although the embodiments of the present invention have been described in more detail with reference to the accompanying drawings, the present invention is not necessarily limited to these embodiments, and various modifications may be made within the scope without departing from the spirit of the present invention.

Therefore, the embodiments disclosed in the present invention are not intended to limit the technical spirit of the present invention, but to explain, and the scope of the technical spirit of the present invention is not limited by these embodiments. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. The protection scope of the present invention should be construed by the following claims, and all technical ideas within the scope equivalent thereto should be construed as being included in the scope of the present invention.

100: exercise ability evaluation system 110: exercise intensity control unit
120: sensing unit 130: storage unit
140: control unit 150: calculation unit
160: interface unit

Claims (12)

When performing an exercise, an exercise intensity control unit that determines the user's exercise intensity in real time;
a sensing unit for collecting measurement data by measuring body information of a user performing an exercise in response to a specific exercise intensity determined by the exercise intensity control unit a plurality of times;
a calculator for calculating a user's real-time remaining energy amount based on the measured data; and
a control unit for transmitting and receiving data between the exercise intensity control unit, the sensing unit, and the calculation unit, and controlling driving of the exercise intensity control unit, the sensing unit, and the calculation unit;
The calculation unit,
a search unit for selecting at least one comparative formula model having a high degree of similarity to the measured data according to the exercise intensity from among a plurality of pre-stored formula models; and
Exercise ability evaluation including an evaluation unit that compares the measured data according to the exercise intensity with the comparative formula model selected from the search unit in real time, and predicts the real-time amount of residual energy of the user based on the calculated comparison value system.
The method of claim 1,
The evaluation unit predicts the user's all-out time through the real-time residual energy information, and the all-out time is a state in which the user's energy is completely depleted and no longer exercise can be performed. A defined athletic performance rating system.
The method of claim 1,
The sensing unit is an exercise ability evaluation system for measuring at least one of a user's exercise speed, exercise acceleration, muscle contraction state, respiration rate, and heart rate.
The method of claim 1,
The sensing unit may include at least one of a camera, a gyro sensor, an EMG sensor, a heart rate sensor, a pressure sensor, a geomagnetic sensor, an infrared sensor, a laser sensor, an RF sensor, an ultrasonic sensor, and a lung capacity sensor.
The method of claim 1,
The calculator calculates the amount of residual energy by using an Adaptive Design Optimization (ADO) technique.
The method of claim 1,
Exercise ability evaluation system further comprising an interface for providing the measurement data information or the residual energy information to the user, or providing the exercise intensity value received from the exercise intensity control unit to the user.
The method of claim 1,
Exercise ability evaluation system further comprising a storage unit for storing the plurality of formula models, the measurement data, and the real-time residual energy information.
The method of claim 1,
The calculation unit, based on the calculated real-time residual energy amount, exercise capacity evaluation system for calculating 1RM (Repetition Maximum), which is defined as the weight that the user can lift at one time.
collecting primary measurement data by measuring body information of a user performing an exercise in response to a specific exercise intensity;
selecting at least one comparative formula model having a high degree of similarity to the first measurement data from among a plurality of pre-stored formula models;
calculating a first comparison value by comparing the comparison formula model with the first measurement data;
resetting the user's exercise intensity based on the first comparison value;
collecting secondary measurement data by measuring body information of a user performing an exercise in response to the reset exercise intensity;
integrating the first measurement data and the second measurement data;
calculating a second comparison value by comparing the integrated data with the comparative formula model; and
and predicting a user's remaining energy amount based on the second comparison value.
10. The method of claim 9,
In the step of calculating the second comparison value, if the second comparison value is greater than a predetermined value, another comparison equation model having a high degree of similarity to the integrated data is selected from among the plurality of previously stored equation models. A method of assessing motor performance by recomparison with the aggregated data.
10. The method of claim 9,
In the step of predicting the amount of residual energy, the user's all-out time point and the user's 1RM (Repetition Maximum) are calculated through the residual energy amount,
The all-out time point is defined as a state in which the user's energy is completely depleted and can no longer be exercised, and the 1RM is an exercise ability evaluation method defined as a weight that the user can lift at one time.
10. The method of claim 9,
In the step of collecting the first measurement data and the step of collecting the second measurement data, the first measurement data and the second measurement data are the user's movement speed, movement acceleration, and muscle contraction state for the specific exercise intensity. , an exercise ability evaluation method that measures at least one of respiration rate and heart rate.

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