JP2006122343A - Training system equipped with weight stack type training machine, training supporting apparatus used for above system, presumption method of maximum lifting weight and production method of training menu - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a training system which supports a user to be capable of executing the appropriate training corresponding to a purpose of the training. <P>SOLUTION: A measuring sensor 20 to measure the lifting speed or the like at the time of a lifting action executed by the user is attached to a load unit 15 of a weight stack type training machine 10. The maximum lifting weight lifted by the maximum effort is presumed on the basis of the lifting speed under the loading weight of each step measured by the measuring sensor 20 and the preset lifting speed at the time of lifting action of the maximum lifting weight, and the optimum loading weight corresponding to the purpose of the training is acquired on the basis of the presumed maximum lifting weight. Moreover, an information terminal 30 produces a training menu composed of the loading weight, a breathing time and the number of repetitions which are suitable for the user. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to a training system having a weight stack type training machine suitable for resistance training, and in particular, a training system for assisting a user to perform appropriate training according to a training purpose, The present invention relates to a training support apparatus, a maximum lifting weight estimation method, and a training menu creation method used in the system.

  In resistance training, the load weight set in the weight stack type training machine should be set in consideration of individual differences among users (that is, specific conditions such as gender, age, and skeleton).

  Conventionally, the load weight is set based on the experience of the user or the instructor, and the maximum lifting weight (1RM: one repetition maximum) raised under the maximum effort is estimated, and this estimation is performed. The load weight was set based on the maximum lift weight.

  Here, with regard to the latter method, the maximum lifting weight is estimated as follows: (1) The maximum lifting weight is directly estimated by the user actually lifting the maximum possible weight. Direct estimation method, (2) Indirect estimation method in which a maximum weight is indirectly estimated from the relationship between the load weight and the number of iterations, and a weight with a predetermined weight is repeatedly raised until exhaustion occurs. An upper iteration count estimation method (see Non-Patent Document 1) is known.

However, with the direct estimation method (1) above, the maximum possible weight is actually raised, which puts a heavy burden on the user and a very high risk of injury. There is. In addition, in the indirect estimation method (2) above, there is a problem that it takes a lot of time for estimation because a weight of a predetermined weight must be raised a considerable number of times. In addition, since the lifting operation is repeated until it is impossible to lift due to fatigue, there is also a problem that a considerable burden is placed on the user.
Fumiho Sawai (1997): A safe and simple load setting method for strength training using machines, Physical Fitness 46: 742

  The present invention has been made in consideration of such points, and it is possible to simply and quickly estimate the maximum lifting weight in resistance training with high accuracy and to set an appropriate load weight according to the training purpose. An object of the present invention is to provide a training system, a training support apparatus used in the system, and a method for estimating a maximum lifting weight.

  The present invention also provides a training system capable of creating an appropriate training menu (a menu consisting of a combination of load weight, rest time and number of repetitions) according to the training purpose based on the estimated maximum lifting weight. An object of the present invention is to provide a training support apparatus and a training menu creation method used in the system.

  As a first solution, the present invention provides a weight stack type training machine capable of applying a plurality of stages of exercise load to a user, and is attached to the training machine, and the user uses the training machine. A measuring sensor for measuring a lifting speed during a lifting operation to be performed, and a terminal device that is connected to the measuring sensor and prompts the user to perform a lifting operation under a plurality of preset load weights The terminal device includes a lifting speed under the load weight at each stage measured by the measurement sensor and a lifting speed during a lifting operation of a preset maximum lifting weight. Based on the estimated maximum lifting weight under the maximum effort, and the load weight corresponding to the training purpose set in the training machine based on the estimated maximum lifting weight. To provide a training system, characterized in that it presented to the user in search of.

  As a second solution, the present invention provides a training support apparatus used together with a weight stack type training machine capable of giving a plurality of stages of exercise load. The training machine is attached to the training machine and uses the training machine. Measuring sensor for measuring the lifting speed during the lifting operation performed by the terminal, and a terminal that is connected to the measuring sensor and prompts the user to perform the lifting operation under a plurality of preset load weights The terminal device includes a lifting speed under the load weight of each stage measured by the measurement sensor, and a lifting speed during a lifting operation of a preset maximum lifting weight, Based on the above, the maximum lifting weight that is lifted under the maximum effort is estimated, and the training machine is set based on the estimated maximum lifting weight. Providing training assistance apparatus characterized by presenting to the user asking the load weight corresponding to training purposes.

  In the first and second solving means described above, the terminal device is obtained based on a relational table indicating a relationship among a power maintenance rate, a resting time, and a repetition count preset for each training purpose. Find the rest time and number of repetitions so that the actual power maintenance rate is equal to or higher than the predetermined actual power maintenance rate under the load weight, and create a training menu consisting of the load weight, rest time and number of repetitions suitable for the user. It is preferable to present it to the user.

  As a third solution, the present invention uses a weight stack type training machine capable of giving a plurality of stages of exercise load, and allows a user to lift up under a plurality of stages of load weight. The step of prompting the user to perform the measurement and the measuring sensor mounted on the training machine measure the lifting speed during the lifting operation under the load weight of each stage performed by the user using the training machine. And lifted under maximum effort based on the measured lifting speed under the load weight at each stage and the lifting speed during the lifting operation of the preset maximum lifting weight. A method for estimating a maximum lift weight, comprising: a step of estimating a maximum lift weight to be calculated.

  As a fourth solution, the present invention uses a weight stack type training machine capable of giving a plurality of stages of exercise load, and allows a user to lift up under a preset number of stages of load weight. The step of prompting the user to perform the measurement and the measuring sensor mounted on the training machine measure the lifting speed during the lifting operation under the load weight of each stage performed by the user using the training machine. And lifted under maximum effort based on the measured lifting speed under the load weight at each stage and the lifting speed during the lifting operation of the preset maximum lifting weight. Estimating a maximum lift weight to be obtained, obtaining a load weight according to a training purpose set in the training machine based on the estimated maximum lift weight, and training Based on the relationship table showing the relationship between the preset power maintenance rate, the rest time, and the number of repetitions set in advance for each purpose, the power output maintenance rate is equal to or higher than the predetermined power output maintenance rate under the obtained load weight. A training menu including a weighting time, a resting time, and a number of repetitions suitable for the user and presenting the training menu to the user. Provide creation method.

  As a fifth solution, the present invention provides a program for estimating a maximum lifting weight that causes a computer to execute a procedure corresponding to the steps included in the above-described method for estimating the maximum lifting weight.

  As a sixth solution, the present invention provides a training menu creation program for causing a computer to execute a procedure corresponding to the steps included in the training menu creation method.

  According to the present invention, the maximum effort is based on the lifting speed under the load weight of each stage measured by the measurement sensor and the lifting speed during the lifting operation of the preset maximum lifting weight. Since the maximum lifting weight raised below is estimated, the maximum lifting weight in resistance training can be easily estimated at high speed and with high accuracy. For this reason, compared to the conventional method of setting the load weight based on the experience of the user or the instructor and the conventional estimation method (direct estimation method and indirect estimation method) that puts a burden on the body, it corresponds to the training purpose An appropriate load weight can be set with high accuracy, and the training effect can be maximized.

  In addition, according to the present invention, an appropriate training menu (load weight, rest time, and rest time) according to the training purpose is based on the appropriate load weight according to the training purpose obtained based on the estimated maximum lifting weight. By creating a menu consisting of combinations of the number of repetitions, it is possible to perform safe and effective training in a form that reflects individual physical fitness levels regardless of the gender and age of the user.

BEST MODE FOR CARRYING OUT THE INVENTION

  Embodiments of the present invention will be described below with reference to the drawings.

  First, the overall configuration of the training system according to the present embodiment will be described with reference to FIG.

  As shown in FIG. 1, a training system 1 according to the present embodiment is for a user to perform resistance training, and a weight stack type training machine 10 capable of giving a plurality of stages of exercise load, An information terminal (terminal device) 30 connected to the training machine 10 and a host computer 40 connected to the information terminal 30 are provided.

  Among these, the weight stack type training machine 10 includes a training unit 11 having a seat 12 and a movable portion 13, and a load unit 15 connected to the movable portion 13 of the training unit 11 via a coupling mechanism 14. Yes. The load unit 15 accommodates a plurality of weights 16 connected to the coupling mechanism 14 via wires 17, and the number of sheets corresponding to a preset load weight in conjunction with the reciprocating motion of the movable portion 13. The weight 16 moves up and down.

  Here, the load unit 15 is equipped with a measurement sensor 20 that measures a lifting speed, a load weight, the number of repetitions, a total moving distance, and the like during a lifting operation performed by a user using the training machine 10. The measurement sensor 20 is connected to the information terminal 30.

  The information terminal 30 includes a liquid crystal display device with a touch panel function, a computer with a network function, etc., and inputs personal data (gender, age, etc.) of the user, a training purpose, and various information to the user. Can be presented.

  More specifically, the information terminal 30 prompts the user to perform a lifting operation under a plurality of preset load weights, and the load weight of each stage measured by the measurement sensor 20. The maximum lift weight under maximum effort is estimated based on the lift speed under the lift and the lift speed during the lifting operation of the preset maximum lift weight (1RM), Based on the estimated maximum lifting weight, an optimum load weight corresponding to the training purpose set in the training machine 10 is obtained and presented to the user. In addition, the information terminal 30 has a display power maintenance rate under the optimum load weight determined based on a relationship table indicating a relationship between a display power maintenance rate, a rest time, and the number of repetitions set in advance for each training purpose. It is configured to obtain a resting time and the number of repetitions that are equal to or greater than the predetermined power maintenance rate, and to create a training menu that is suitable for the user, consisting of load weight, resting time and number of repetitions, and present it to the user. ing.

  In the present embodiment, the measurement sensor 20 and the information terminal 30 constitute a training support device.

  The host computer 40 is composed of a personal computer with a network function and the like. The host computer 40 receives data stored in the information terminal 30 to construct a database for each user, and stores a training menu stored in advance in the information terminal 30. Or can be sent to.

  Next, the operation of the present embodiment having such a configuration will be described.

(Basic principle)
First, the basic principle of the method (maximum lift weight estimation method and training menu creation method) used in the present embodiment will be described with reference to FIGS.

In the course of making the present invention, the present inventors conducted an experiment in which a test of the following contents was performed on seven subjects using a chest press machine (manufactured by Nautilus). That is, with respect to five types of load weights in the range of about 60% L _{1RM to} 95% L _1RM with reference to the _{maximum lifting} weight L _1RM , each subject is repeatedly _lifted until exhaustion occurs. It was. In addition, the lifting speed was measured every one reps (one lifting operation).

  As a result, the relationship between the load weight and the number of repetitions, the relationship between the load weight and the lifting speed, and the relationship between the lifting speed and the number of repetitions in this experimental example are shown in FIGS. 7, 8, and 9, respectively. It became. 7, 8, and 9 show the trial results of a specific subject, but the fundamental characteristics of the trial results of other subjects are the same as those shown in FIGS. 7, 8, and 9. It was.

  Here, the conventional indirect estimation method (elevation iteration count estimation method) is extremely linear between the load weight and the iteration count at 15 iterations or less in the relationship between the load weight and the iteration count shown in FIG. In this case, the value of y (maximum lift weight) is estimated by substituting 1 for x (number of iterations) of the regression line equation. To do.

On the other hand, the estimation method proposed by the present inventors pays attention to the relationship between the lifting speed and the number of iterations shown in FIG. That is, as can be seen from the results shown in FIG. 9, there is an extremely linear relationship (relation represented by a regression line equation) between the lifting speed and the number of iterations, and x ( By substituting 1 into the number of iterations, y (the lifting speed during the lifting operation of the maximum lifting weight (1RM lifting speed V _1RM )) is estimated.

Here, based on the trial results of all subjects, the relationship between the lifting speed and the number of iterations (regression linear equation) and the lifting speed during the lifting operation of the maximum lifting weight (1RM lifting speed V _1RM ) are obtained. As shown in Table 1 below. In Table 1, r ² represents a correlation coefficient.

The present inventors have found the following knowledge from Table 1 above, that is, the estimated 1 RM elevation speed V _1RM is different from the maximum elevation weight, and the physical characteristics (power, skeleton, muscle strength, etc.) of the subject, etc. Regardless of this, a very epoch-making knowledge was obtained that the speed was almost the same (in the case of Table 1, about 0.19 m / s).

According to this finding, all subjects the 1RM elevation velocity V _1RM of assuming 0.19 m / s, the load weight and elevation velocity and linear regression equation determined from the relationship of x (elevation rate) Substituting 0.19 into, the maximum lifting weight is estimated as shown in Table 2 below. In Table 2, r ² represents a correlation coefficient.

Comparing the maximum elevation weight (1RM) estimated in this way with the maximum elevation weight (1RM) estimated by the conventional indirect estimation method (elevation iteration number estimation method), the following table 3 and FIG. As shown in FIG. 10, there was almost no difference between the two.

  When the maximum lifting weight is estimated as described above, the optimum load weight according to the training purpose set in the training machine can be obtained based on the estimated lifting weight.

However, the load weight required in this way is an indispensable element for actual training, but it is not enough to consider only this element for safe and effective training. . In particular, in the training (resistance training) as performed in the above-described experimental example, as shown in the following Table 4 and FIG. 11, as shown in the following table 4 and FIG. However, it is very dangerous to repeat the lifting operation in a state where the demonstrative power (lifting speed) is below a certain value.

  For this reason, for example, when performing training with intervals (interval training), care should be taken that the power maintenance rate is always above a certain value, and an appropriate training menu (load weight, resting) according to the training purpose It is necessary to create a menu that is a combination of time and number of iterations.

In relation to this point, the present inventors conducted an experiment in which a test of the following contents was performed on eight subjects using a chest press machine (manufactured by Nautilus). In other words, with respect to the weight of 85% L _{1RM based} on the maximum _lifting weight L _1RM , each subject was allowed to repeatedly perform the lifting operation until exhaustion occurred. At that time, each subject performs the trial in four modes, a mode in which he does not take a rest between the raising operations, a mode in which he takes a rest for 5 seconds, a mode in which he takes a rest for 10 seconds, and a mode in which he takes a rest for 15 seconds. It was. In addition, the lifting speed and the demonstrative power were measured every one reps (one lifting operation).

Here, assuming that the total work of trials performed by each subject is W _lim-RT , the average performance power is P _ave , and the duration is T _lim-RT , P _ave is W _lim-RT is T _lim-RT. Is obtained by dividing by (the following equation (1)).

P _ave = W _lim−RT / T _lim−RT (1)
_{Further, W lim-RT is} determined by multiplying the _{P ave} and _{T lim-RT} (equation (2)).

W _lim-RT = P _ave × T _lim-RT (2)
FIG. 12 shows the relationship between W _lim-RT and T _lim-RT, and FIG. 13 shows the relationship between P _ave and T _lim-RT .

As shown in FIG. 12, W _lim-RT and T _lim-RT in a trial that is resistance training are in a proportional relationship, and the regression line equation can be expressed as the following equation (3).

W _lim−RT = a + b × T _lim−RT (3)
Here, when the above equation (2) is substituted into the above equation (3), the following equation (4) is obtained.

P _ave × T _lim−RT = a + b × T _lim−RT (4)
Further, the following expression (5) is obtained from the above expression (4).

P _ave = a / T _lim−RT + b (5)
Here, in resistance training, when taking a rest (interval training), it is assumed that P _cri-RT is the maximum level of average power that can theoretically repeat the lifting operation without causing fatigue. _Pcri-RT is obtained as the value of _Pave when _Tlim-RT is infinite in the above equation (5). _{Incidentally,} in the case where the _{T lim-RT infinite,} so approaches _{a / T lim-RT} is infinitely 0, _P ave at that time _{(P = cri-RT)} is the slope b of the regression line equation (Formula (6)).

P _cri-RT ≈ b (6)
Moreover, in training with rest (interval training), multiplied by the elevation on the time T _E to maximum voluntary power P _max of the operation elevation of the top en masse on weight, P _cri as the slope of the regression line equation the _-RT, equal to those obtained by multiplying the maximum voluntary power _{P max} elevation time _{T E} and rest time _{T R} and the pair and to the unit time in _(T E + _{T R)} (equation (7)). The relationship of the following formula (7) is shown in FIG.

_{P max × T E = P cri} -RT × (T E + T R) ... (7)
Therefore, rest time _{T R} is calculated by the following equation (8).

_{T R = T E × (P} max / P cri-RT -1) ... (8)
Here, thus resting time T _R to be theoretically defined, in an actual experimental examples are determined as follows.

  Now, it is assumed that the trial result (relationship between the display power (lifting speed) maintenance rate and the number of repetitions) of one subject in the experimental example described above is obtained as shown in FIG.

  In this case, first, a regression linear equation (y = ax + b) is obtained for each mode having a different resting time from the relationship between the demonstrative power (lifting speed) and the number of iterations shown in FIG. Next, the number of repetitions (for example, 10) of the lifting motion is input to x of the regression line equation thus determined, and the relationship between the display power (lifting speed) maintenance rate and the resting time is determined. Since such a relationship is expressed in the form of a regression line equation as shown in FIG. 15A, if a desired display power (lifting speed) maintenance rate to be maintained in actual training is determined, an optimum result is obtained. An appropriate rest time can be estimated.

  In addition, the regression line formula shown to Fig.15 (a) is calculated | required similarly about arbitrary repetition frequency (for example, 2-20 times). That is, the relationship among the display power (lifting speed) maintenance rate, the rest time, and the number of repetitions under a specific load weight is obtained in the form of a relationship table as shown in FIG.

(Specific implementation method)
The training system 1 according to the present embodiment uses a training support apparatus including the measurement sensor 20 and the information terminal 30 to execute a method (maximum lifting weight estimation method and training menu creation method) according to the basic principle described above. Has been realized.

  Hereinafter, the specific operation of the training system 1 according to the present embodiment will be described with reference to FIGS. 1 to 6.

  First, a user sits on the seat 12 of the weight stack type training machine 10 and operates the information terminal 30 to instruct to perform processing for setting a load weight according to the training purpose.

  Upon receiving such an instruction, the information terminal 30 performs processing according to the procedure shown in FIG. 2 and estimates the maximum lifting weight of the user.

Specifically, as shown in FIG. 2, first, a preset 1RM raising speed _V1RM is captured (step 101). Here, it is assumed that _0.19 m / s is set in advance as the 1RM raising speed _V1RM .

  Next, a preset N-stage load weight is taken in (step 102). Here, two or three or more load weights less than the maximum lifting weight are set in advance.

Then, under the load weight at each stage (n = 1 to N), the user is encouraged to perform the lifting operation using the weight stack type training machine 10, and the lifting speed at the time of the lifting operation is increased. measuring a V _n (step 103-108).

Specifically, first, the n-th stage load weight L _n is presented to the user via the information terminal 30, and the user is set so that the weight 16 of the load unit 15 becomes the load weight L _n ( Step 104).

Next, the user under load weight L _n of the n stage encourage user via the information terminal 30 to perform the elevation operation to perform the elevation operation to the user (step 105). At this time, the user may perform the lifting operation M times in addition to performing the lifting operation once. In the latter case, the raising speed may be changed consciously. Specifically, for example, the lifting speed may be changed in the order of “slow” → “normal” → “as fast as possible” so that the lifting operation is performed M times (for example, 3 times).
Then, in this way elevation rate during elevation operation performed by a user using the training machine 10 is measured by the measuring sensor 20, information as elevation velocity V _n of the load weight L _n of the n steps It is transmitted to the terminal 30 (step 106). At this time, if the user's lifting operation is performed a plurality of times (M times) in step 105, the average value of the lifting speeds during each lifting operation is obtained, and this is the nth stage. It is transmitted to the information terminal 30 as elevation velocity V _n of the load weight L _n.

When N number of elevation velocity V _n corresponding to the load weight L _n of the above manner each stage (n = 1 to N) is measured, the information terminal 30, under load weight L _n of each stage The maximum _lift weight L _1RM that is _lifted under maximum effort is estimated based on the lift speed V _{n at 1} and the preset 1 RM lift speed (V _1RM ) (step 109). That is, when the steps 101 to 108 are completed, N combinations of the lifting speed V _n and the load weight L _n have been obtained. Therefore, a 1 RM lifting speed is obtained using a regression linear equation connecting these combinations. A maximum _lifting weight L _1RM corresponding to V _1RM is estimated (see FIG. 3).

  As described above, when the relationship between the lifting speed and the load weight, including the 1RM lifting speed and the maximum lifting weight, is obtained, the display power (the lifting speed and the load weight is related to this). The relationship between the product and the load weight is also obtained (see FIG. 4).

  In general, the appropriate display power and elevation speed are determined according to the training purpose. Therefore, the relationship table (relation table of elevation speed, load weight and display power) obtained as shown in FIG. By using it, the optimal load weight according to the training purpose can be obtained.

  As typical training, the following four items A to D are listed. These load weights and lifting speeds are as described in parentheses, and are respectively the areas of symbols A to D in the relational table shown in FIG. It corresponds to.

A: Introduction power training (50-60% L _1RM , operation is slow)
B: Peak power training ( _50-65 % L _1RM , fast)
C: Force-based power training ( _65-80 % L _1RM , fast)
D: Max force power training (80-95% L _1RM , fast)
Therefore, if the relation table shown in FIG. 4 is obtained as described above, the optimum load weight can be obtained based on the relation table and the training purpose. The load weight thus obtained is presented to the user via the information terminal 30.

  Thereafter, the user sets the weight 16 of the load unit 15 according to the load weight presented via the information terminal 30, and the user performs training according to a predetermined training menu. Taking training with interval (interval training) as an example, the training menu is defined as a combination of load weight, rest time, and number of repetitions (see FIG. 5).

  Here, although such a training menu needs to be appropriately prescribed according to the training purpose, it is generally difficult for a user to create such a training menu. For this reason, in this embodiment, the information terminal 30 creates such a training menu and presents it to the user.

  That is, when the user operates the information terminal 30 to instruct to present an appropriate training menu according to the training purpose, the information terminal 30 performs processing according to the procedure shown in FIG. , A menu composed of a combination of rest time and number of repetitions).

  As shown in FIG. 6, first, the training purpose input by the user via the information terminal 30 is captured (step 201).

Next, a load weight corresponding to the training purpose is obtained based on the training purpose _acquired in step 201 and the maximum _lift weight _L1RM obtained previously (step 202). Specifically, for example, when the training purpose is “force power training”, a value obtained by multiplying the _{maximum lift} weight L _1RM by 85% is obtained as the load weight set in the training machine 10. At this time, the load weight value finally obtained may be increased or decreased according to the personal data of the user.

  Thereafter, an appropriate number of iterations (for example, 6 times) is determined according to the training purpose captured in step 201 (step 203). At this time, the number of iterations finally obtained may be increased or decreased according to the personal data of the user.

Then, after the load weight and the number of iterations are obtained in this way, it is obtained on the basis of a relationship table (relationship table showing the relationship between the performance power maintenance rate, the rest time, and the number of iterations) preset for each training purpose. A resting time is determined so that the display power maintenance rate becomes equal to or higher than a predetermined display power maintenance rate (for example, 60%) under the given load weight (step 204). Specifically, for example, _assuming that a relationship table as shown in FIG. 16 (a relationship table when the load weight is 85% L _1RM ) is set in advance, the number of iterations is set based on such a relationship table. The rest time is determined to be 5 seconds under the condition of 6 times and the power maintenance rate of 60%.

  When the rest time is determined as described above, a training menu suitable for the user (a menu including the load weight, rest time, and number of repetitions) is finally created (step 205).

  The training menu created in this way is presented to the user via the information terminal 30, and the user is prompted to perform training according to such a training menu (step 206). At this time, when the user is training, the measurement sensor 30 measures the elevation speed (demonstration power) during the elevation operation, and the elevation speed (demonstration power) is a predetermined value. You may make it issue a warning to a user at the time of becoming the following.

  Note that the results of training performed by the user using the training machine 10 as described above (elevation speed, number of repetitions, etc.) are measured by the measurement sensor 30 and stored in the information terminal 30 as output data. The output data stored in this manner is evaluated by the information terminal 30 or the host computer 40, and used as the personal data unique to the user in the next training, or is made into a database by the host computer 40. .

Thus, according to the present embodiment, the lifting speed V _n under the load weight L _n of each stage (n = 1 to N) measured by the measurement sensor 30 and the preset 1 RM lifting Since the maximum _lift weight L _{1RM raised} under the maximum effort is estimated on the basis of the speed V _1RM , the maximum _lift weight in resistance training can be easily estimated at high speed and with high accuracy. For this reason, compared to the conventional method of setting the load weight based on the experience of the user or the instructor and the conventional estimation method (direct estimation method and indirect estimation method) that puts a burden on the body, it corresponds to the training purpose An appropriate load weight can be set with high accuracy, and the training effect can be maximized.

Further, according to the present embodiment, an appropriate training menu (load weight) corresponding to the training purpose is determined based on the appropriate load weight corresponding to the training purpose obtained based on the estimated maximum _lifting weight L _1RM. , A menu consisting of a combination of rest time and number of repetitions), so that safe and effective training that reflects individual physical fitness levels, regardless of the gender or age of the user, etc. Can do.

  In the above-described embodiment, the maximum lifting weight estimation method and the training menu creation method performed in the training system 1 are both included in the steps included in each method by a program operating on the information terminal 30. This can be realized by causing a computer to execute a corresponding procedure. Such a program is stored in a computer-readable recording medium such as a memory, a hard disk, a flexible disk, a CD-ROM, a DVD, and the like, and is sequentially read from a computer processor and executed to execute the program as described above. Functions or procedures are realized.

1 is a schematic diagram showing the overall configuration of a training system according to an embodiment of the present invention. The flowchart which shows the procedure of the estimation method of the maximum lift weight (1RM) performed using the training system shown in FIG. The conceptual diagram which shows the principle of the estimation method of the maximum raising weight shown in FIG. The figure for demonstrating the relationship between the maximum lifting weight estimated by the estimation method shown in FIG. 2, and the load weight set by various training. The figure for demonstrating the relationship between the maximum lifting weight estimated by the estimation method shown in FIG. 2, and the element contained in the training menu created based on it. The flowchart figure which shows the procedure of the preparation method of the training menu performed by the user using the training system shown in FIG. The figure which shows the relationship between the load weight in an experiment example, and the repetition frequency. The figure which shows the relationship between the load weight in an experiment example, and the raising speed. The figure which shows the relationship between the raising speed and the repetition frequency in an experiment example. The figure which shows the relationship between the maximum lift weight (1RM) obtained by the estimation method of this invention, and the maximum lift weight (1RM) obtained by the conventional estimation method. The figure which shows the relationship between the demonstrative power (lifting speed) maintenance rate and the number of repetitions in training without a rest. The figure which shows the relationship between the work amount and duration in training with a rest. The figure which shows the relationship between the average display power and duration in the training accompanied by a rest. The conceptual diagram for demonstrating the relationship of four elements (demonstration power, duration, rest time, and the number of repetitions) of the training accompanying a rest. The figure which shows the relationship between the demonstrative power (lifting speed) maintenance rate in a training accompanied by a rest, and rest time or the number of repetitions. The figure which shows the relationship of the display power maintenance rate under the specific load weight in the training accompanying a rest, a rest time, and the number of repetitions.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Training system 10 Weight stack type training machine 11 Training unit 12 Seat 13 Movable part 14 Connection mechanism 15 Load unit 16 Weight 17 Wire 20 Measurement sensor 30 Information terminal (terminal device)
40 Host computer

Claims (8)

Weight stack type training machine that can give multiple levels of exercise load to the user,
A measurement sensor mounted on the training machine and measuring a lifting speed during a lifting operation performed by a user using the training machine;
A terminal device that is connected to the measurement sensor and urges the user to perform a lifting operation under a plurality of preset load weights;
The terminal device is based on the lifting speed under the load weight of each stage measured by the measurement sensor and the lifting speed during the lifting operation of the preset maximum lifting weight. Estimating the maximum lifting weight raised under effort, and presenting to the user the load weight corresponding to the training purpose set in the training machine based on the estimated maximum lifting weight. A characteristic training system.   The terminal device has a predetermined power display rate under the load weight determined based on a relation table indicating a relationship between a power output maintenance rate, a rest time, and the number of repetitions set in advance for each training purpose. Obtaining a resting time and number of repetitions that will be equal to or higher than the power maintenance rate, creating a training menu consisting of load weight, resting time and number of repetitions suitable for the user, and presenting it to the user The training system according to Item 1. In a training support device used together with a weight stack type training machine capable of giving multiple stages of exercise load,
A measurement sensor mounted on the training machine and measuring a lifting speed during a lifting operation performed by a user using the training machine;
A terminal device that is connected to the measurement sensor and urges the user to perform a lifting operation under a plurality of preset load weights;
The terminal device is based on the lifting speed under the load weight of each stage measured by the measurement sensor and the lifting speed during the lifting operation of the preset maximum lifting weight. Estimating the maximum lifting weight raised under effort, and presenting to the user the load weight corresponding to the training purpose set in the training machine based on the estimated maximum lifting weight. A characteristic training support device.   The terminal device has a predetermined power display rate under the load weight determined based on a relation table indicating a relationship between a power output maintenance rate, a rest time, and the number of repetitions set in advance for each training purpose. Obtaining a resting time and number of repetitions that will be equal to or higher than the power maintenance rate, creating a training menu consisting of load weight, resting time and number of repetitions suitable for the user, and presenting it to the user Item 4. The training support device according to Item 3. Using a weight stack type training machine capable of giving a plurality of stages of exercise load, urging the user to perform a lifting operation under a preset number of stages of load weight; and
Measuring a lifting speed during a lifting operation under a load weight of each stage performed by a user using the training machine by a measurement sensor attached to the training machine;
Based on the measured lifting speed under the load weight at each stage and the lifting speed during the lifting operation of the preset maximum lifting weight, the maximum lifting lifted under maximum effort is achieved. And a method for estimating a maximum weight. Using a weight stack type training machine capable of giving a plurality of stages of exercise load, urging the user to perform a lifting operation under a preset number of stages of load weight; and
Measuring a lifting speed during a lifting operation under a load weight of each stage performed by a user using the training machine by a measurement sensor attached to the training machine;
Based on the measured lifting speed under the load weight at each stage and the lifting speed during the lifting operation of the preset maximum lifting weight, the maximum lifting lifted under maximum effort is achieved. Estimating an upper weight and determining a load weight according to a training purpose set in the training machine based on the estimated maximum lifting weight;
Based on the relation table showing the relationship between the preset power maintenance rate, the rest time and the number of repetitions set in advance for each training purpose, the power output maintenance rate is not less than a predetermined power output maintenance rate under the obtained load weight. A training menu comprising the steps of determining a resting time and the number of repetitions and creating a training menu suitable for the user consisting of a weight, a resting time and the number of repetitions, and presenting the training menu to the user How to create   A program for estimating a maximum lift weight, which causes a computer to execute a procedure corresponding to a step included in the method according to claim 5.   A training menu creation program for causing a computer to execute a procedure corresponding to a step included in the method according to claim 6.

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