JPH04197278A - Health control system - Google Patents

Abstract

PURPOSE:To optimize the health maintenance of a person to be measured by selecting the purpose of an exercise in accordance with the overall evaluation on physical strength, selecting the adequate exercise item from this purpose, the physical strength of the person to be measured and executability and presenting the execution intensity and time thereof concerning the exercise item which can easily be executed. CONSTITUTION:The person to be measured receives the physical strength measurement consisting of various measurement items. A means 1 evaluates the physical strength in accordance with this measurement data. A means 3 determines the exercise purpose from this evaluation on the physical strength. A means 4 determines the exercise intensity from the same evaluation on the physical strength. Further, a means 5 similarly determines the calorie consumption per unit time to be target. A 1st selecting means 6 selects the exercise item meeting the purpose from a fundamental data holding means 2. A 2nd selecting means 7 selects the target exercise intensity from the data holding means 2 and further, a 3rd selecting means 8 selects the exercise item which can be selected in accordance with the determined calorie consumption per unit time determined from the data holding means 2. A means 9, thereafter, determines the recommended exercise intensity, exercise frequencies and exercise continuation time of the selected exercise item and presents the same to the person to be measured.

Description

[Detailed Description of the Invention] [Industrial Field of Application] The present invention relates to a health management system, and in particular, it analyzes data obtained from physical fitness measurement using an information processing device to determine the optimal exercise type and exercise intensity. Regarding the system presented.

[Prior art and its problems] Conventionally, in this type of health management system, an information processing device analyzes data obtained through physical measurements, such as height and weight, and analyzes the exercise event specified by the person being measured, such as The aim was to show how intense walking should be in order to maintain and even improve health.

For example, assume that the subject is evaluated as having a moderate degree of obesity as a result of physical measurements. If the person to be measured has no particular favorite exercise type and specifies general walking, the information processing device specifies the walking speed necessary to improve the health of the person to be measured. However, when the person to be measured specifies baseball, the information processing device presents the number of game times the person should participate in per week without considering the feasibility of playing the game.

To be more specific, in such conventional health management systems, first, a measurer measures the physique of a person to be measured and supplies the data to an information processing device. Calculate the calorie consumption required to reduce the deviation from the desired body shape.

Next, the information processing device calculates the exercise intensity required for consuming the calculated calories in the specified exercise type, and presents this to the subject.

Conventional health management systems simply analyze data indicating body shape, so they can accept specified exercise events as appropriate without determining whether the exercise event specified by the person being measured is appropriate or unsuitable. He was calculating his exercise intensity.

In this calculation of exercise intensity, acceptance was accepted without determining whether the specified exercise event was suitable for the subject from a medical standpoint such as cardiopulmonary function. This has the problem that it may harm the health of the person being measured, making it impossible to achieve comprehensive health management.

Furthermore, in conventional health management systems, exercise intensity is simply presented in terms of calories burned per unit time and frequency of exercise, without determining whether it is achievable based on the essence of the specified exercise. Was. However, for a normal adult with a job, team sports are played for a unit period (e.g.
There is a limit to the frequency of exercise that can be performed per month, and if the exercise intensity presented by the information processing device exceeds that limit, the presentation itself is meaningless, and conventional health management systems have no effect on the effectiveness of the information they can provide. There was also a problem.

[Means for Solving the Problems] The gist of the present invention is as shown in FIG. basic data holding means 2 that supplies the purpose of each exercise, exercise intensity, calories burned, and possible number of times of exercise per unit period; and exercise purpose determining means 3 that determines the exercise purpose in consideration of the physical fitness evaluation of the subject. means 4 for determining exercise intensity taking into consideration the physical fitness evaluation of the subject; and means 5 for determining the target calorie consumption per unit period taking into consideration the physical fitness evaluation of the subject; A first selection means 6 selects an exercise event that matches the exercise purpose from the exercise events in the basic data holding means, and selects an exercise event having an exercise intensity within the determined target exercise intensity range from the basic data holding means. A second selection means 7 selects from among the exercise types, and the calorie consumption per unit period to be the determined target is compared with the calorie consumption per unit number of times of execution of each exercise type and the possible number of times the exercise can be performed. A third selection means 8 selects an exercise event from among the exercise events in the basic data holding means, and an exercise event, exercise intensity, and frequency recommended from the logical product of the exercise events selected by the first, second, and third selection means. This is a health management system including means 9 for determining and presenting the information to the subject.

[Operation of the invention] When a person wants to know the type of exercise, amount of exercise, and frequency of exercise that is suitable for his or her physical strength, that person first undergoes a physical fitness measurement consisting of various measurement items, and means 1 measures the subject's physical strength. The physical strength of the person to be measured is evaluated based on the physical strength measurement data. on the other hand,
The basic data holding means 2 holds the purpose of each exercise, exercise intensity, calories burned, and the number of times the exercise can be performed per unit period in an accessible state.

When determining the type of exercise, etc., the exercise purpose determining means 3 determines the exercise purpose in consideration of the physical fitness evaluation of the subject;
The exercise intensity is determined by taking into account the physical fitness evaluation of the person being measured.

Furthermore, the means 5 determines the target calorie consumption per unit period in consideration of the physical fitness evaluation of the subject.

Next, the first selection means 6 selects an exercise event that matches the determined exercise purpose from among the exercise events in the basic data holding means, and the second selection means 7 selects an exercise event that matches the determined exercise purpose, and a second selection means 7 selects an exercise event that matches the determined exercise purpose. An exercise event having an exercise intensity is selected from the exercise events in the basic data holding means, and furthermore, the third selection means 8 selects the calorie consumption per unit period that should be the target determined above per unit number of times of exercise for each exercise event. An exercise item that can be performed is selected from the exercise items in the basic data holding means in comparison with the consumed calories and the number of times the exercise can be performed. In this way, when the first, second, and third selection means each make a selection, the means 9 determines the recommended exercise type, exercise intensity, and frequency from the logical product of the selected exercise types, and presents them to the subject. .

[Example] Fig. 2 is a block diagram showing the A-doware configuration of the health management system according to the present invention, and Fig. 3 is a flowchart showing the procedure executed by the hardware shown in Fig. 2. .

In FIG. 2, 21 indicates a central processing unit, and in the case of this embodiment, this central processing unit 21 is realized by a microprocessor. When the health care program is loaded into the program memory 23 under the control of the operating system, the central processing unit 21 sequentially fetches the instruction codes in the program memory 23 via the internal bus system 22 and executes the instruction codes shown in FIG. Realize each function. That is, the central processing unit 21 causes the floppy disk controller 24 to transfer data from the floppy disk 26 in the floppy disk driver 25 to the working memory 27, and causes the working memory 27 to hold a database and a message list, which will be described later.

The central processing unit 21 further determines key operations input from the keyboard 28 via the interface 29 and temporarily holds various data in the working memory 27. Various data in the working memory 27 are transferred, calculated, and compared with a database, as will be described in detail later, and the results are referred to a message list to represent recommended exercise types, exercise intensity, and frequency. Form message data. Subsequently, the central processing unit 21 transfers the message data to the video memory 30, and instructs the graphics controller 31 to sequentially read out the message data. The graphic controller 31 supplies the read message data to the character display 32, and displays a message presenting the type of exercise, exercise intensity, frequency, etc.

Furthermore, in response to a user's command given from the keyboard 28, the central processing unit 21 supplies the message data in the working memory 27 to the printer 33, and prints the message on a predetermined recording paper 34.

Next, the sequence of instruction codes constituting the health management program will be explained with reference to FIG.

The central processing unit 21 first initializes the hardware, and then instructs the floppy disk controller 24 to transfer the data constituting the database and message list stored on the floppy disk 26. The floppy disk controller 24 gives the floppy disk driver 25 the sector address of the floppy 26, and stores the specified data in the working memory 27.
Transfer to. As a result, the database and message list are set in the working memory 27 (step Sl
), the central processing unit 2] periodically scans the keyboard 28 and determines whether or not the physical fitness measurement data indicates human strength (step S2). Step S while physical strength data is not input.
Since the determination in step 2 is no (N), the central processing unit 21 repeatedly executes step 2 and waits for input of the physical fitness measurement data.

In the case of this example, physical fitness measurements include maximum oxygen intake (1 kg per milliliter), body fat percentage (%), muscle strength and muscular endurance (number of sit-up movements), and flexibility (possible distance of forward bending while sitting). ) and coordination power (duration of standing on one leg with eyes open and distance during bar response), and each measurement value (hereinafter,
(referred to as measured value data) is input from the keyboard 28.

Furthermore, the age and gender of the person to be measured (hereinafter referred to as personal data) are also input from the keyboard 28.

In line with this, BetaHeath provides a maximum oxygen uptake data file consisting of data by gender and age level for maximum oxygen uptake, and a body fat data file consisting of gender and age level data for body fat percentage. fat percentage data file,
Muscle strength/muscular endurance data file consisting of level-specific data on the number of sit ups by gender and age, Flexibility data file consisting of level-specific data on long sitting forward bending distance by gender and age, Open eyes Contains a coordination force data file consisting of data on one-leg standing time and distance during bar reaction by level for each gender and age. The database further includes a standard combination of level data of the above-mentioned measurement items, a message related to the overall physical fitness evaluation, and an overall physical fitness evaluation data file indicating the relationship with the purpose of exercise. Other data files that make up the database are
Each part necessary for explaining the flowchart will be explained.

When the measured value data and personal data of the physical fitness measurement are input, the measured value data and the personal data are taken into the central processing unit 21 via the interface 29, and the central processing unit 21 stores the measured value data and the personal data. is determined by software (detailed explanation will be omitted), and then transferred to the working memory 27 and held at a predetermined address. When the measured value data and personal data are stored in the working memory 27 in this way, the determination in step S2 is yes (Y), so the central processing unit! 21 executes a physical fitness evaluation subroutine S3.

The sequence of the physical fitness evaluation subroutine S3 is shown in Figures 4 to 5.
As shown in the figure. Central processing unit! Step 531) reads one sorting and age level data that matches the personal data from the maximum oxygen uptake data file.
, it is determined whether or not they match the measured value data (Step 532). If the judgment result in step S32 is NO, read out other level-specific data from the maximum intake data file and check whether it matches the measured value data again.
] To refuse. In this way, the level-specific data of the maximum oxygen uptake data file is sequentially accessed to search for level-specific data that matches the measured value data. The maximum oxygen uptake data file is structured as shown in FIG. 6), and when gender and age are specified in the personal data, a series of level-based data are selected. Therefore, these series of data are sequentially compared with the measured value data.

If any of the level-specific data matches the measured value data, the judgment result in step S32 is YES, so the evaluation level (1, 2,
.

The central processing unit 21 then accesses two level-by-level data of the body fat percentage data file. Since the body fat percentage data file also has the structure shown in FIG. 6, a series of level-specific data selected by the gender and age range indicated in the personal data is read out in sequence. That is, one of the series of level-specific data is read out (
Step 534), and it is determined whether or not it matches the measured value data (Step 535). While they do not match, steps S34 and 535 are repeated to search for level-based data that match the measured value data. When level-based data that matches the measured value data is found, the central processing unit 21 transfers the evaluation level data representing the evaluation level given to the level-based data to the working memory 27, and transfers the evaluation level data representing the evaluation level given to the level-based data to the working memory 27, It is held at the address (step 536).

The central processing unit 21 then accesses the level-specific data of the muscle strength/muscular endurance data file.

The muscle strength/muscular endurance data file also has the structure shown in Figure 6, so a series of level-specific data selected by the gender and age range indicated in the personal data is read out in sequence. Ru. That is, one of the series of level-specific data is read out (step 537), and it is determined whether it matches the measured value data (step 838).

While they do not match, steps S37 and S38 are repeatedly executed to search for level-based data that match the measured value data. When level-specific data that matches the measured value data is found, the central processing unit 21 transfers the evaluation level data representing the evaluation level given to the level bell data to the working memory 27, and transfers the evaluation level data representing the evaluation level given to the level bell data to the working memory 27, It is held at the address (step 539).

Central processing unit 21 then accesses the level-specific data of the flexibility data file. Since the flexibility data file also has the structure shown in Figure 6,
A series of level-specific data selected based on the gender and age range indicated in the personal data are sequentially read out. That is,
One of the series of level-specific data is read out (step 540), and it is determined whether it matches the measured value data (step 541). While there is no match, step 54
0 and 541 are repeatedly executed to search for level-based data that matches the measured value data. When level-specific data that matches the measured value data is found, the central processing unit 21 transfers the evaluation level data representing the evaluation level given to the level bell data to the working memory 27, and transfers the evaluation level data representing the evaluation level given to the level bell data to the working memory 27, hold at address (step 542)
.

The central processing unit 21 then accesses the level-specific data of the adjustment force data file. The adjustment force data file is a general term for the data file related to the time of standing on one leg with eyes open and the data file related to the distance during bar reaction, and both data files have the configuration as shown in FIG.

The central processing unit 21 first accesses the level-specific data of the data file regarding the eye-opening one-leg standing time. That is, a series of level-specific data selected based on the gender and age range indicated in the personal data are sequentially read out. One of the series of level data is read out (step 5).
43), it is determined whether or not it matches the measured value data (
Step 544). While they do not match, steps S43 and S44 are repeatedly executed to search for level-based data that match the measured value data. When level-specific data that matches the measured value data is found, the central processing unit 21 transfers the evaluation level data representing the evaluation level given to the level bell data to the working memory 27, and transfers the evaluation level data representing the evaluation level given to the level bell data to the working memory 27, It is held at the address (step 545). Next, the central processing unit 21 accesses the level-by-level data of the data file regarding the distance during rod reaction. That is, a series of level-specific data selected based on the gender and age range indicated in the personal data are sequentially read out. One of the series of leveled data is read (step 546).
), it is determined whether or not they match the measured value data (step 547). - steps 34B and 34 unless
Steps 7 and 7 are repeated to search for level-specific data that matches the measured value data. When level-specific data that matches the measured value data is found, the central processing unit 21 transfers the evaluation level data representing the evaluation level given to the level bell data to the working memory 27, and transfers the evaluation level data representing the evaluation level given to the level bell data to the working memory 27, It is held at the address (step 848). Once the evaluation level for each item is determined in this manner, the central processing unit 21 executes the exercise purpose determination subroutine S4.

When the exercise purpose determination subroutine S4 starts, the central processing unit 21 reads the evaluation level data from the working memory 27 and creates a combination of evaluation levels (step 549). As shown in Figure 7, the comprehensive physical fitness evaluation data file consists of a part that shows standard combinations of evaluation levels for measurement items, and a part that shows the overall evaluation message for each combination. Once the balance of evaluation levels for the person to be measured is determined,
An overall evaluation corresponding to that morning meeting is determined.

Therefore, the central processing unit 21 sequentially reads out the standard combination examples (Step 550), and determines whether the read standard combination matches the combination of the subject's evaluation level (Step 550). . While there is no match, steps S50 and S51 are repeatedly executed, and when there is a match, the parameters indicating the selection type, the parameters indicating the selection priority, and the exercise effect data corresponding to the matched standard combination are pre-allocated in the working memory 27. It is held at the specified address (step 552). The selection type parameters are combined with the selection priority parameters to determine the overall message of fitness evaluation. Examples of comprehensive messages include, ``I'm overweight, so my first goal is to lose weight,'' or ``Let's improve my cardiovascular system and build my endurance.''
Improve joint movement and increase flexibility.''

When the exercise purpose determination subroutine S4 ends, an exercise event that matches the exercise purpose determined in the subroutine S4 is selected. This selection will be referred to as a gold object selection subroutine S5 in the following explanation. As already explained, the database includes various data files in addition to the data files used in the physical fitness evaluation subroutine S3 and the exercise purpose determination subroutine S4.
One of them is the exercise event effect data file shown in FIG. 8A, which is composed of data indicating the degree of effect for each exercise event. This data file is integrated with the exercise intensity data file, which is made up of data indicating the exercise intensity for each exercise type, and the exercise time data file (see Figure 8B @), which is made up of data about the duration of exercise, which will be described later. It shows the extent to which various exercise types contribute to improving endurance, increasing muscle strength, improving flexibility, and improving coordination. For example, walking at a speed of 60 meters per minute is effective in improving endurance, but other items have data showing that the effects are small or not expected.

Therefore, the central processing unit 21 sequentially reads out data indicating the degree of effectiveness from the exercise item effect data file, and selects an exercise item that can be expected to have a significant effect on the already determined exercise objective. Information regarding the exercise category thus selected is recorded in the working memory 27.

Next, the central processing unit 21 calculates the target exercise intensity. As shown in FIG. 9, the central processing unit 21 first reads level data related to body fat percentage from the working memory 27 (step 571), and further reads the maximum exercise intensity data file (see FIG. 10). ) is read out for body fat percentage (step 572). The maximum exercise intensity data file is composed of pages 1 to N, and level data of body fat percentage is written at the beginning of each member. Therefore, step S71 and step S? If the level data read out in step S73 match each other, the determination in step S73 is yes (Y), and one page in the maximum exercise intensity data file is designated. However, if they do not match, the central processing unit 21 repeats steps S72 and 573 to search for a page with matching level data. - Sometimes, as the required page is identified (step 574), the central processing unit 21
The maximum oxygen uptake level data is read from No. 7 (step 575). Next, the central processing unit 21 reads the maximum oxygen uptake level data from the specified page (step 576), and determines whether they match (step 57).
7). If they do not match, steps S76 and S77 are repeated, and if they match, the maximum exercise intensity data V O2MAX associated with the maximum oxygen intake level data is specified (step 578). Next, the central processing unit 21
calculates the target exercise intensity METI by substituting the maximum exercise intensity data into a predetermined equation (step 579). next,
Step 580: Read one piece of data related to the exercise event selected in step S5 from the working memory 27.
), the exercise intensity MET2 of the exercise event is read out from the exercise intensity data file (step 582). If the read exercise intensity MET2 is equal to or larger than the target exercise intensity METI, the exercise type is inappropriate, so the central processing unit 21 repeats steps S80 to S81 and selects the exercise type selected in step S5 from the working memory 27. Read data related to other exercise events and calculate their exercise intensity MET
2 with the target exercise intensity METI. If the exercise intensity of the exercise event is less than the target exercise intensity, the exercise event is appropriate from the standpoint of exercise intensity, and if the gender and age range are appropriate from the personal data (step S83 is YES).
, the exercise type is recorded at a predetermined address in the working memory 27 (step 584).

The central processing unit 21 checks whether or not the determinations in steps S82 and S83 have been made for all exercise events selected in step S5 (step 585), and if there are exercise events that have not yet been determined, steps S80 to S84 are repeated. ,
Once decisions have been made on all exercise events, return.

Subsequently, the central processing unit 21 proceeds to a combined exercise time event subroutine (step S7), and selects an appropriate exercise event from the viewpoint of execution time from among the exercise events selected in step S6. That is, as shown in FIG. 11, the central processing unit 21 reads data W indicating the weight of the person to be measured and data indicating the gender from the personal data (step 591).
), then one of the exercise events selected in step S6.
Step 59
2). The exercise intensity MET2, executable frequency M, and executable exercise time TI and T2 regarding the exercise item are read from the data file (step 593). Next, the central processing unit 21 substitutes the exercise intensity MET2 and the body weight W into a predetermined equation to calculate the calorie consumption E when the exercise type is performed for 1 minute (step 594). The central processing unit 21 divides the calorie consumption E by the frequency M, and calculates the exercise time T that should be performed per exercise in order to consume the calories necessary for one week's tooth brushing (step 595). The central processing unit 21 determines whether or not this exercise time T is within the range of exercise time that can be performed (step 596), and if it is within the range, the central processing unit 21 stores information related to the exercise event in the working memory 27 (step 597). ), if it is out of range, step 5
Repeat steps 92 to 596. Thus step S
When the exercise times have been considered for all the exercise types selected in step 6, the determination result in step 59B is YES, so the central processing unit 21 returns.

In this way, the exercise items stored in the working memory 27 after performing steps S5 to S7 are the logical product of the three selections, and can be said to be appropriate exercise types from the standpoint of physical strength and feasibility.

Therefore, the central processing unit 21 creates messages regarding appropriate exercise events, recommended exercise intensities and recommended exercise times between the events, and messages regarding overall physical fitness evaluation while referring to the message list, and creates data representing these messages. is transferred to the video memory 30 (step S8). Thereafter, the central processing unit 21 instructs the graphics controller 31 to display data representing the message on the display 32, and if printing of the message is requested from the keyboard 28, the central processing unit 21 instructs the graphics controller 31 to display data representing the message. The data is sent to the printer 33 via the interface 29. The printer 33 prints the message on a predetermined recording paper (step S9).

When the series of subroutines is completed in this manner, the central processing unit 21 determines whether or not to re-execute the series of subroutines for other subjects (step 510).
In the case of re-execution, the process returns to step S2. On the other hand, if there is no instruction to re-execute, it is determined whether there is an instruction to terminate (step 511); if there is no instruction, the process returns to step 510; if there is an instruction, the process ends.

In addition, in the above example, the selection was made based on the exercise intensity, exercise time, etc. after the selection was made based on the exercise purpose, but in advance, the exercise intensity that should be targeted to achieve the exercise purpose and the target After calculating the desired replenishment rate, selection based on exercise purpose, exercise intensity, and exercise time may be performed successively.

In addition, when selecting based on exercise purpose, an exercise that has a remarkable effect on the exercise purpose is selected, but if the selected exercise type is determined to be inappropriate due to exercise intensity, etc., the selection based on exercise purpose is repeated. In this re-selection, it is also possible to select one that can not be expected to have a remarkable effect but can be expected to have a normal effect. In this case, in the first loop, a parameter indicating the degree of effect is set to a value indicating a significant effect, and step S5
．． S6. After performing S7, if there is no exercise item that can be recommended, the parameter indicating the degree of effect may be reset to a value indicating the second stage effect, and steps S5 to S7 may be executed again.

[Effects of the Invention] As explained above, the health management system according to the present invention selects the purpose of exercise based on comprehensive physical fitness evaluation,
Moreover, an appropriate exercise type is selected in consideration of the purpose, the physical strength of the person to be measured, and the possibility of performing the exercise. Therefore, the exercise intensity and time are presented for exercise items that can be easily performed, and the subject can perform them without jeopardizing his or her health.

[Brief explanation of the drawing]

Fig. 1 is a claim correspondence diagram of the claimed invention. Fig. 2 is a block diagram showing the hardware configuration of an embodiment of the claimed invention. Fig. 3 shows a procedure executed by a health management system according to an embodiment. Flowchart, Figure 4 is a flowchart showing the steps of the physical fitness evaluation subroutine, Figure 5 is a flowchart showing the steps of the exercise purpose determination subroutine, Figure 6 is a diagram showing the structure of each data file, and Figure 7 is the overall physical fitness evaluation data. Figure 8A and Figure 8B are diagrams showing the composition of the overall physical fitness evaluation data file. Figure 9 is a flowchart of the combined strength event selection subroutine. Figure 10 is the composition of the maximum exercise intensity data file. The figure shown in FIG. 11 is a flowchart of the combined exercise time event selection subroutine. 2. Means for evaluating physical fitness, 2. Means for holding basic data, 3. Means for determining purpose of exercise, 4. Means for determining exercise intensity, 5. , , , ,Means for determining calorie consumption, 6. , ,First selection means, ? , , , second selection means, 8. , , third selection means. Patent Applicant Mitsubishi Metals Co., Ltd. Agent Patent Attorney Kiyoshi Kuwai - (1 other person) Diagram S Flowchart of exercise purpose determination subroutine 6th factor Diagram showing the structure of each data file ↓－－－－－－－－－ ---↓ Fig. 7 shows the composition of the combined body strength data file 0 2 Fig. 8A shows the structure of the 1 work effect data file Fig. 8B shows the structure of the motility index file and the exercise time data file 2 Figure 10

Claims (1)

[Scope of Claims] A means for evaluating the physical strength of a subject based on physical fitness measurement data of the subject, and a basis for providing the purpose of each exercise, exercise intensity, calorie consumption, and possible number of times of exercise per unit period. a data holding means; an exercise purpose determining means for determining an exercise purpose in consideration of the physical fitness evaluation of the subject; a means for determining exercise intensity in consideration of the physical fitness assessment of the subject; and an evaluation of the physical fitness of the subject. means for determining the target calorie consumption per unit period in consideration of the above-mentioned goals; and first selection means for selecting an exercise type that matches the determined exercise purpose from among the exercise types in the basic data holding means; a second selection means for selecting an exercise event having an exercise intensity within the determined target exercise intensity range from among the exercise events in the basic data holding means; and a second selection means for selecting an exercise event having an exercise intensity within the determined target exercise intensity range; a third selection means for selecting an exercisable exercise event from among the exercise events in the basic data holding means in comparison with the calories consumed per unit execution number of each event and the possible number of executions; 3. A health management system comprising means for determining a recommended exercise type, exercise intensity and frequency from the logical product of the exercise types selected by the selection means and presenting the recommended exercise type, exercise intensity and frequency to the subject.