Recommended running speed calculation system and recommended running speed calculation method

Abstract

A recommended running speed calculation system and a recommended running speed calculation method can calculate a recommended running speed for a distance run recommended for a determined runner. The recommended running speed calculation system includes: a correspondence storage unit storing a first correspondence, wherein the first correspondence is a correspondence between a running distance run by an unspecified number of runners and a fastest running speed; a running speed acquisition unit acquiring the running speeds of each specified interval in a distance run of a specified distance run by the determined runner; a correction unit extracting the fastest running speed of the running speeds of each specified interval of the determined runner, and correcting the running speeds of each specified interval of the determined runner based on the extracted fastest running speed and the first correspondence; and a recommended running speed calculation unit calculating the recommended running speed for the distance run recommended for the determined runner based on the corrected running speeds of each specified interval of the determined runner.

Description

[0001] Related divisional applications

[0002] This application is a divisional application of the original application with application number 201980036409.X, application date November 1, 2019, and invention name “Recommended running speed calculation system and recommended running speed calculation method”. Technical Field

[0003] The present invention relates to a recommended running speed calculation system and a recommended running speed calculation method for calculating a recommended running speed in a distance run of a predetermined distance such as a full marathon. In particular, the present invention relates to a recommended running speed calculation system and a recommended running speed calculation method for calculating a recommended running speed in a distance run recommended for a determined runner based on the running speed in the distance run obtained by the determined runner actually running. Background Art

[0004] In long-distance running such as a full marathon or a half marathon, it is common to see examples of a runner stalling in the middle stage to the second half due to running at a faster running speed than the runner's ability in the first half. Long-distance running is ideally run at a fixed running speed from the beginning to the end, and it is believed that if the runner who has stalled runs at a fixed running speed according to the runner's ability, the record will be better. Therefore, it is desirable to calculate a fixed running speed that matches the runner's ability as a recommended running speed.

[0005] Here, Patent Document 1 proposes a device for predicting the running time of a long-distance run based on the running time of a shorter distance than a long-distance run such as a full marathon.

[0006] Specifically, the device described in Patent Document 1 is a device formed with the following problem as its subject: in daily short-distance running exercises, when the running time is shortened, one can know that one's running ability has improved, but in actual long-distance running such as a full marathon, if one does not actually run a long distance, one has no idea to what extent the time will be shortened (Paragraph 0003 of Patent Document 1).

[0007] In order to solve the above-mentioned problem, the device described in Patent Document 1 has the following structure: running time data (formula data) that establishes a correspondence between the running time (best result) of 5km or 10km as a benchmark running distance and the predicted running time of a full marathon is obtained and stored in a statistical manner; based on the formula data, the predicted running time of the full marathon or the target lap time for each section of the runner being determined is calculated according to the best result of the benchmark running distance of the runner being determined (claims, paragraph 0020, abstract, etc. of Patent Document 1).

[0008] According to the device described in Patent Document 1, the predicted running time for a long-distance run such as a full marathon can be calculated based on the best 5km or 10km performance of the determined runner. Furthermore, it is considered that if the calculated predicted running time is divided by the distance run in the long-distance run to calculate the average running speed, the fixed average running speed can be calculated as the recommended running speed recommended to the determined runner.

[0009] However, the device described in Patent Document 1 has the following problem: in order to calculate the recommended running speed for a long-distance run such as a full marathon, it takes time to measure the running time of the runner, who is judged to have actually run at full speed for 5 km or 10 km, which is shorter than the long-distance run.

[0010] Prior art literature

[0011] Patent Literature

[0012] Patent Document 1: Japanese Patent Laid-Open No. 9-178869 Summary of the invention

[0013] Problems to be solved by the invention

[0014] The present invention is formed to solve the problems of the above-mentioned prior art, and its subject is to provide a recommended running speed calculation system and a recommended running speed calculation method that can calculate the recommended running speed for a determined runner in a running of a specified distance such as a full marathon based on the running speed of the determined runner in the running of the same distance.

[0015] Technical means of solving problems

[0016] In order to solve the above-mentioned problem, the inventors and others have made great efforts to study and focus on the running speeds of each specified interval in the distance run obtained by the runner to be determined to actually run, and regard the fastest running speed as the running speed that matches the original strength of the runner to be determined. Based on the above-mentioned focus, it is thought that, for example, the corresponding relationship between the running distances that an unspecified number of runners have run and the fastest running speed is obtained in a statistical manner, and the running speeds of each specified interval in the distance run obtained by the runner to be determined to actually run are corrected based on the fastest running speed among these running speeds and the above-mentioned corresponding relationship. In addition, it is found that if the corrected running speeds of each specified interval are used, a suitable recommended running speed for the runner to be determined in the same distance run can be obtained.

[0017] The present invention was completed based on the findings of the present inventors.

[0018] That is, in order to solve the above-mentioned problem, as a first scheme of the present invention, a recommended running speed calculation system is provided, comprising: a correspondence storage unit storing a second correspondence, wherein the second correspondence is a correspondence between a running speed characteristic quantity specified by an average running speed and a deviation of a running speed in a distance run of a specified distance run by an unspecified number of runners, and a recommended running speed in a distance run of the specified distance; a running speed characteristic quantity calculation unit calculating a running speed characteristic quantity, wherein the running speed characteristic quantity is specified by an average running speed and a deviation of a running speed in a distance run of the specified distance run by a determined runner; and a recommended running speed calculation unit calculating a recommended running speed in a distance run of the specified distance recommended for the determined runner based on the running speed characteristic quantity of the determined runner calculated by the running speed characteristic quantity calculation unit and the second correspondence stored in the correspondence storage unit.

[0019] According to the first scheme of the present invention, a running speed characteristic quantity calculated by a running speed characteristic quantity calculation unit is calculated by the average running speed and the deviation of the running speed in a distance run of a specified distance actually run by the determined runner. As the running speed characteristic quantity, for example, a characteristic quantity represented by the linear sum of the average running speed and the deviation of the running speed (standard deviation, mean square error, etc.) can be used. Moreover, a recommended running speed calculation unit is used to calculate the recommended running speed in the same distance run recommended to the determined runner based on the calculated running speed characteristic quantity of the determined runner and the second corresponding relationship (correspondence relationship between the running speed characteristic quantity in the distance run and the recommended running speed) stored in the corresponding relationship storage unit. According to the view of the inventors and others, there is a relatively good correlation between the running speed characteristic quantity specified by the average running speed and the deviation of the running speed and the recommended running speed. Therefore, the recommended running speed calculated by the recommended running speed calculation unit is a recommended running speed suitable for the determined runner.

[0020] As described above, according to the first aspect of the present invention, the recommended running speed for the same distance run recommended for the determined runner can be calculated based on the running speed (average running speed and running speed deviation) in the distance run actually run by the determined runner.

[0021] In addition, for example, the running speeds of an unspecified number of runners in each specified interval of a distance run of a specified distance are measured, the average running speed and the deviation between the running speeds are calculated, and the VO2max (maximum oxygen uptake) of the same unspecified number of runners is measured, and the recommended running speeds that match their respective abilities are calculated, and a correspondence between them is established and sorted, thereby creating a second correspondence.

[0022] Specifically, in the first aspect of the present invention, the second correspondence relationship is preferably created by statistical processing or machine learning using the running speed feature value and the recommended running speed of an unspecified number of runners.

[0023] Specifically, in the first aspect of the present invention, the recommended running speed for the distance running of the predetermined distance in the second correspondence is calculated by measuring the maximum oxygen uptake of the unspecified plurality of runners.

[0024] In addition, in order to solve the above-mentioned problem, the present invention is also provided as a method for calculating a recommended running speed, which is characterized in that it includes: a correspondence storage process for storing a second correspondence, wherein the second correspondence is a correspondence between a running speed characteristic quantity specified by an average running speed and a deviation of a running speed in a distance run of a specified distance that an unspecified number of runners have run, and a recommended running speed in a distance run of the specified distance; a running speed characteristic quantity calculation process for calculating a running speed characteristic quantity, wherein the running speed characteristic quantity is specified by an average running speed and a deviation of a running speed in a distance run of the specified distance that a determined runner has run; and a recommended running speed calculation process for calculating a recommended running speed in a distance run of the specified distance that is recommended for the determined runner based on the running speed characteristic quantity of the determined runner calculated by the running speed characteristic quantity calculation process and the second correspondence stored by the correspondence storage process.

[0025] Effects of the Invention

[0026] According to the present invention, based on the running speed of a predetermined distance actually run by the determined runner, a recommended running speed for the same distance run recommended for the determined runner can be calculated. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a diagram showing a schematic configuration of a recommended running speed calculation system according to the first embodiment of the present invention.

[0028] Figure 2 This is a flowchart showing a schematic procedure of a recommended running speed calculation method according to the first embodiment of the present invention.

[0029] Figure 3 This is a diagram schematically showing an example of the first correspondence relationship.

[0030] Figure 4 This is an explanatory diagram for explaining an example of a method for creating a correction function.

[0031] Figure 5 Yes Description Figure 22 is an explanatory diagram of the correction step S4 and the recommended running speed calculation step S5 shown in FIG.

[0032] Figure 6 The following is a result of a test to verify the validity of the recommended running speed calculated by the recommended running speed calculation method according to the first embodiment of the present invention.

[0033] Figure 7 It is a diagram showing a schematic configuration of a recommended running speed calculation system according to a second embodiment of the present invention.

[0034] Figure 8 This is a flowchart showing a schematic procedure of a method for calculating a recommended running speed according to a second embodiment of the present invention.

[0035] Fig. 9 This is a diagram showing an example of a second correspondence relationship created by statistical processing.

[0036] Explanation of symbols

[0037] 1: Portable terminal

[0038] 2.2A: Server

[0039] 11: Running speed acquisition component

[0040] 21, 21A: Correspondence storage component

[0041] 22: Calibration parts

[0042] 23, 23A: Recommended running speed calculation parts

[0043] 24: Running speed characteristic quantity calculation component

[0044] 100, 100A: Recommended running speed calculation system

[0045] L1~L5: Distance

[0046] P1~P5: Running speed

[0047] Pmax: Maximum running speed

[0048] Pw: running speed while walking

[0049] N: Electric communication line

[0050] S1, S1A: Correspondence storage steps

[0051] S2: Steps to obtain running speed

[0052] S3: Running speed sending step

[0053] S4: Calibration Steps

[0054] S5, S5A: Recommended running speed calculation steps

[0055] S6: Recommended running speed sending steps

[0056] S7: Running speed feature value calculation step DETAILED DESCRIPTION

[0057] Hereinafter, a recommended running speed calculation system and a recommended running speed calculation method according to an embodiment of the present invention will be described with reference to the drawings as appropriate.

[0058] <First embodiment>

[0059] Figure 1 It is a diagram showing a schematic configuration of a recommended running speed calculation system according to the first embodiment of the present invention. Figure 1 (a) is a schematic diagram showing the system structure. Figure 1 (b) is a block diagram showing the system structure.

[0060] like Figure 1 As shown, the recommended running speed calculation system 100 of this embodiment includes: a correspondence storage unit 21, a running speed acquisition unit 11, a correction unit 22, and a recommended running speed calculation unit 23.

[0061] In this embodiment, the running speed acquisition unit 11 is provided on a portable terminal 1 (in Figure 1 In the example shown in , it is a smart watch that is determined to be worn by a runner.) Specifically, the GPS function or the like included in the portable terminal 1 (smart watch) functions as the running speed acquisition unit 11.

[0062] In addition, in the present embodiment, the correspondence storage unit 21, the correction unit 22 and the recommended running speed calculation unit 23 are provided in the server 2 which is electrically connected to the portable terminal 1 via the electric communication line N such as the Internet. Specifically, the correspondence storage unit 21 includes a memory such as a read-only memory (ROM) or a random access memory (RAM) or a hard disk etc. included in the server 2. In addition, the correction unit 22 and the recommended running speed calculation unit 23 include programs installed in the server 2 for obtaining the functions of the above-mentioned components.

[0063] In addition, in the present embodiment, as described above, the structure in which the running speed acquisition component 11 is arranged in the portable terminal 1, and the corresponding relationship storage component 21, the correction component 22 and the recommended running speed calculation component 23 are arranged in the server 2 is cited as an example for explanation, but the present invention is not limited to this. It is also possible to adopt a structure in which the running speed acquisition component 11, the corresponding relationship storage component 21, the correction component 22 and the recommended running speed calculation component 23 are all arranged in the portable terminal 1, or a structure in which they are all arranged in the server 2.

[0064] Hereinafter, a method for calculating a recommended running speed using the recommended running speed calculation system 100 having the above-described configuration will be described.

[0065] Figure 2 This is a flowchart showing a schematic procedure of a recommended running speed calculation method according to the first embodiment of the present invention.

[0066] like Figure 2 As shown, the recommended running speed calculation method of this embodiment includes a correspondence storage step S1, a running speed acquisition step S2, a correction step S4, and a recommended running speed calculation step S5. In addition, in this embodiment, as described above, since the running speed acquisition component 11 is set in the portable terminal 1, and the correspondence storage component 21, the correction component 22 and the recommended running speed calculation component 23 are set in the server 2 (that is, the running speed acquisition component 11 and the correspondence storage component 21, the correction component 22 and the recommended running speed calculation component 23 are set in different devices), it further includes a running speed sending step S3 and a recommended running speed sending step S6.

[0067] Hereinafter, each step S1 to S6 will be described in sequence.

[0068] [Correspondence relationship storage step S1]

[0069] In the correspondence storage step S1, a first correspondence, which is a correspondence between the running distances already run by an unspecified number of runners and the fastest running speed, is stored in the correspondence storage unit 21. The first correspondence stored in the correspondence storage unit 21 may be stored permanently (in the case where the correspondence storage unit 21 includes a ROM or a hard disk, etc.), or may be temporarily stored when input from the outside to the server 2 (in the case where the correspondence storage unit 21 includes a RAM, etc.) when executing the recommended running speed calculation method of the present embodiment.

[0070] Figure 3 This is a diagram schematically showing an example of the first correspondence relationship.

[0071] The first correspondence relationship can be prepared in a statistical manner by measuring the time required for an unspecified number of runners to run various running distances at the fastest speed and dividing the running speed obtained by the running distance, establishing a correspondence relationship between the running distance and the running speed, and collating the results.

[0072] Figure 3 The first correspondence shown in is expressed in a table form, such as a person who can run 5 km at a maximum running speed of 260 sec / km can run 10 km at a maximum running speed of 270 sec / km, a person who can run a half marathon at a maximum running speed of 280 sec / km, and a person who can run a full marathon at a maximum running speed of 310 sec / km, etc. However, the present invention is not limited to this, and the first correspondence may also be expressed in a function form.

[0073] [Running speed acquisition step S2]

[0074] In the running speed acquisition step S2, the running speed acquisition component 11 acquires the running speed of each specified interval in the distance run of the specified distance that the runner is determined to have run. For example, in the case where the distance run of the specified distance is a full marathon, the first four intervals can be considered to be 10km or the first eight intervals can be considered to be 5km, and the remaining intervals can be 2.195km, and the running speed of each interval can be acquired. In addition, for example, in the case where the distance run of the specified distance is a half marathon, the first two intervals can be considered to be 10km or the first four intervals can be considered to be 5km, and the remaining intervals can be 1.0975km, and the running speed of each interval can be acquired.

[0075] [Running speed transmission step S3]

[0076] In the running speed transmission step S3 , the running speed of each predetermined section of the runner to be determined acquired by the running speed acquisition unit 11 is transmitted from the mobile terminal 1 to the server 2 via the electric communication line N.

[0077] In addition, when the running speed acquisition unit 11, the correspondence storage unit 21, the correction unit 22 and the recommended running speed calculation unit 23 are all provided in the portable terminal 1, the running speed transmission step S3 of transmitting the running speed from the portable terminal 1 to the server 2 via the electrical communication line N is not required.

[0078] [Calibration Step S4]

[0079] In the correction step S4, the correction unit 22 extracts the fastest running speed among the running speeds of the determined runner in each predetermined interval acquired in the running speed acquisition step S2 and sent in the running speed sending step S3. Furthermore, the correction unit 22 corrects the running speeds of the determined runner in each predetermined interval acquired in the running speed acquisition step S2 based on the extracted fastest running speed and the first correspondence stored in the correspondence storage step S1. In addition, in the correction step S4 of the present embodiment, the correction is performed using a correction function created based on the first correspondence instead of directly using the first correspondence.

[0080] Hereinafter, the correction step S4 of the present embodiment will be described in more detail.

[0081] The correspondence storage unit 21 of the present embodiment stores a correction function corresponding to the fastest running speed made based on the first correspondence. Specifically, the correction function is a function that uses the fastest running speed and the running speed of each specified interval in the distance run as variables. The correction function can be manually made based on the first correspondence and stored in the correspondence storage unit 21, or the correction function can be automatically made by the correction unit 22 based on the first correspondence and stored in the correspondence storage unit 21. The storage of the correction function in the correspondence storage unit 21 can be permanent, similar to the first correspondence, or can be temporarily stored when the recommended running speed calculation method of the present embodiment is executed by inputting it from the outside to the server 2.

[0082] The following specifically describes the method of creating the correction function.

[0083] Figure 4 This is an explanatory diagram for explaining an example of a method for creating a correction function. Figure 4 The horizontal axis represents the running distance, and the vertical axis represents the running speed. The value becomes larger as the vertical axis moves downward. Figure 4 In the above table, Li refers to the distance run (in Figure 4 In the example shown in , it is the distance of each predetermined interval i (i=1 to 5) in a full marathon). In addition, Pi refers to the running speed of each predetermined interval i. In addition, Pmax refers to the fastest running speed among the running speeds Pi of each predetermined interval i. In addition, Pw refers to the running speed when walking. Furthermore, F(Pmax, Pi) refers to the correction function. In addition, Figure 4 In the example shown in , L1=L2=L3=L4=10km, L5=2.195km.

[0084] When making a correction function, first as a first step, Figure 4As shown in (a), the first correspondence relationship is used to calculate the ideal average running speed in a distance run assuming that the runner runs at the fastest running speed Pmax in a certain interval and walks at the running speed Pw in the remaining intervals. Figure 4 In the example shown in (a), Figure 4 In (a), "0" indicates that the running speed Pmax is the fastest in the first interval 1 (the interval of distance L1) (i.e., P1 = Pmax), and the walking speed is the fastest in the remaining intervals 2 to 5 (the intervals of distance L2 to distance L5) (i.e., P2 = P3 = P4 = P5 = Pw). The average running speed at this time corresponds to the running speed Pw when walking and becomes a large value. And, for example, if the running speed P1 = Pmax = 270sec / km in interval 1 with a running distance of 10km, then according to Figure 3 The first correspondence relationship shown in corresponds to the fastest running speed of 310 sec / km in a full marathon, and therefore the ideal average running speed is 310 sec / km, which is smaller than the average running speed.

[0085] Next, as a second step, based on a correction function corresponding to the fastest running speed Pmax (more specifically, a function with the fastest running speed Pmax and the running speed Pi of each specified interval i as variables) F(Pmax, Pi), when the running speed Pi of each specified interval i in the assumed distance run is corrected as shown in the following formula (1), the correction function F(Pmax, Pi) is determined in such a way that the ideal average running speed calculated in the first step can be obtained.

[0086] [Mathematical formula 3]

[0087] Corrected running speed in each predetermined interval i = F(Pmax, Pi) (1)

[0088] Where, F(Pmax,Pmax)=Pmax

[0089] Specifically, in Figure 4 In the example shown in , the running speed in section 1 is P1=Pmax, and the running speeds in sections 2 to 5 are P2=P3=P4=P5=Pw. Therefore, Figure 4 As shown in (b), regarding interval 1, the corrected running speed of each predetermined interval is F(Pmax, Pmax)=Pmax, and regarding intervals 2 to 5, the corrected running speed of each predetermined interval is F(Pmax, Pw).

[0090] Therefore, if the corrected running speeds in each predetermined section i are averaged, the following equation (2)′ holds true.

[0091] [Formula 4]

[0092]

[0093] In the second step, the corrected average running speed is compared with the ideal average running speed calculated in the first step (in Figure 4 In the example shown in , the correction function F(Pmax, Pw) is determined in a manner that is equal to 310 sec / km).

[0094] Moreover, for example, the running speed Pw during walking can be fixed, and the value of the fastest running speed Pmax can be changed to repeatedly perform the first and second steps described above, thereby creating a correction function F(Pmax, Pi). In addition, as long as the average running speed after correction represented by the above formula (2)' is equal to the ideal average running speed, the correction function F(Pmax, Pi) can be a linear function or a nonlinear function.

[0095] Figure 5 It is an explanatory diagram for explaining the correction step S4 and the recommended running speed calculation step S5. Figure 5 The horizontal axis represents the running distance, and the vertical axis represents the running speed. The value becomes larger as the vertical axis goes downward.

[0096] In the correction step S4 of the present embodiment, the correction unit 22 calculates the maximum running speed Pmax (in Figure 5 In the example shown in (a), P1 = Pmax), and the correction function F (Pmax, Pi) prepared in the above manner is similar to the above formula (1) for the running speed Pi (in each predetermined interval of the runner to be determined) Figure 5 In the example shown in (a), correction is performed with i=1 to 5).

[0097] That is, when the runner is determined to have run each predetermined interval i (i = 1 to n, in Figure 5 In the example shown in (a) of FIG. 1 , n=5) is set as Li, the running speed of each specified interval i is set as Pi, and the fastest running speed among the running speeds Pi of each specified interval i is set as Pmax. The correction component 22 uses the prepared correction function F (Pmax, Pi) to correct the running speed Pi of each specified interval i of the determined runner based on the following formula (1). Figure 5 In the example shown in (a), Figure 5As shown in (b), the running speed P1 is the fastest running speed Pmax, so P1 (Pmax) is maintained, but the running speed P2 is corrected to F (Pmax, P2), the running speed P3 is corrected to F (Pmax, P3), the running speed P4 is corrected to F (Pmax, P4), and the running speed P5 is corrected to F (Pmax, P5).

[0098] [Formula 5]

[0099] Corrected running speed in each predetermined interval i = F(Pmax, Pi) (1)

[0100] Where, F(Pmax,Pmax)=Pmax

[0101] [Recommended running speed calculation step S5]

[0102] In the recommended running speed calculation step S5, the recommended running speed calculation unit 23 calculates the recommended running speed for the determined runner in the distance running recommended based on the corrected running speed F (Pmax, Pi) of each predetermined interval of the determined runner corrected in the correction step S4. Specifically, the recommended running speed calculation unit 23 calculates the recommended running speed of the determined runner based on the following formula (2).

[0103] [Mathematical formula 6]

[0104]

[0105] like Figure 5 As shown in (b), the calculated recommended running speed is consistent with the Figure 3 The value becomes smaller than the ideal average running speed obtained by the first correspondence shown in .

[0106] [Recommended running speed transmission step S6]

[0107] In the recommended running speed transmission step S6 , the recommended running speed for the determined runner calculated by the recommended running speed calculation unit 23 is transmitted from the server 2 to the mobile terminal 1 via the electrical communication line N.

[0108] In addition, when the running speed acquisition unit 11, the correspondence storage unit 21, the correction unit 22 and the recommended running speed calculation unit 23 are all provided in the server 2, the recommended running speed transmission step S6 of transmitting the recommended running speed from the server 2 to the portable terminal 1 via the electrical communication line N is not required.

[0109] According to the recommended running speed calculation system 100 and the recommended running speed calculation method using the same according to the present embodiment described above, in the running speed acquisition step S2, the running speed of each predetermined interval i in the distance running of the predetermined distance actually run by the determined runner is acquired by the running speed acquisition unit 11. In addition, in the correction step S4, the fastest running speed Pmax among the running speeds of the determined runner in each predetermined interval is extracted by the correction unit 22, and the running speed of each predetermined interval i of the determined runner is corrected based on the extracted fastest running speed Pmax and the first correspondence relationship stored in the correspondence relationship storage unit 21 in the correspondence relationship storage step S1. The corrected running speed F (Pmax, Pi) of each predetermined interval i is the fastest running speed Pmax of the determined runner, in other words, the running speed of each predetermined interval i that matches the original ability of the determined runner. Furthermore, in the recommended running speed calculation step S5, the recommended running speed calculation unit 23 calculates the recommended running speed for the same distance run recommended for the determined runner (in this embodiment, the average value of the corrected running speeds in each predetermined interval i) based on the corrected running speeds in each predetermined interval i of the determined runner. According to the knowledge of the present inventors, the calculated recommended running speed is a recommended running speed appropriate for the determined runner.

[0110] An example of a test for verifying the validity of the recommended running speed calculated by the recommended running speed calculation method according to the present embodiment will be described below.

[0111] In the experiment, the selected runners actually ran in 12 full marathon races, and the running speeds in each specified interval were obtained, and the recommended running speeds were calculated based on the speeds. On the other hand, the same selected runners measured their anaerobic threshold (AT) speeds a few days before the race, and the predicted running speeds in the full marathon were calculated based on the measurement results.

[0112] Figure 6 The results of the test are shown. Figure 6 The horizontal axis represents the running speed calculated (predicted) based on the AT speed, and the vertical axis represents the recommended running speed calculated by the recommended running speed calculation method of this embodiment. Figure 6 The average running speed in the actual running of the full marathon is also shown in the figure ( Figure 6 The data indicated by "●" in the figure are represented by a dotted line to indicate the regression line. In addition, a dashed line is used to indicate the case where the values ​​of the horizontal axis and the vertical axis are consistent.

[0113] As per Figure 6It can be seen that the recommended running speed ( Figure 6 The data represented by "0" in the figure and the regression line represented by the solid line are relatively consistent with the running speed calculated based on the AT speed. It can be said that the recommended running speed calculated by the recommended running speed calculation method of this embodiment is appropriate.

[0114] <Second embodiment>

[0115] Figure 7 It is a diagram showing a schematic configuration of a recommended running speed calculation system according to a second embodiment of the present invention. Figure 7 (a) is a schematic diagram showing the system structure. Figure 7 (b) is a block diagram showing the system structure.

[0116] like Figure 7 As shown, the recommended running speed calculation system 100A of the present embodiment includes a correspondence storage unit 21A, a running speed acquisition unit 11, a running speed feature quantity calculation unit 24, and a recommended running speed calculation unit 23A.

[0117] Hereinafter, differences from the recommended running speed calculation system 100A of the first embodiment will be mainly described, and components having the same functions are denoted by the same reference numerals, and description thereof will be appropriately omitted.

[0118] In this embodiment, the running speed acquisition unit 11 is also provided on the portable terminal 1 (in Figure 7 In the example shown in , it is a smart watch that is determined to be worn by a runner.) Specifically, the GPS function or the like included in the portable terminal 1 (smart watch) functions as the running speed acquisition unit 11.

[0119] In addition, in the present embodiment, the correspondence storage unit 21A, the running speed characteristic quantity calculation unit 24, and the recommended running speed calculation unit 23A are provided in the server 2A electrically connected to the portable terminal 1 via the electric communication line N such as the Internet. Specifically, the correspondence storage unit 21A includes a memory such as a ROM, a RAM, or a hard disk included in the server 2A. In addition, the running speed characteristic quantity calculation unit 24 and the recommended running speed calculation unit 23A include a program installed in the server 2A to obtain the functions of the above-mentioned components.

[0120] In addition, in the present embodiment, as described above, the structure in which the running speed acquisition component 11 is arranged in the portable terminal 1, and the corresponding relationship storage component 21A, the running speed characteristic quantity calculation component 24 and the recommended running speed calculation component 23A are arranged in the server 2A is cited as an example for explanation, but the present invention is not limited to this. It is also possible to adopt a structure in which the running speed acquisition component 11, the corresponding relationship storage component 21A, the running speed characteristic quantity calculation component 24 and the recommended running speed calculation component 23A are all arranged in the portable terminal 1, or a structure in which they are all arranged in the server 2A.

[0121] Hereinafter, a method for calculating a recommended running speed using the recommended running speed calculation system 100A having the above-described configuration will be described.

[0122] Figure 8 This is a flowchart showing a schematic procedure of a method for calculating a recommended running speed according to a second embodiment of the present invention.

[0123] like Figure 8 As shown, the recommended running speed calculation method of this embodiment includes a corresponding relationship storage step S1A, a running speed acquisition step S2, a running speed characteristic amount calculation step S7, and a recommended running speed calculation step S5A. In addition, in this embodiment, as described above, since the running speed acquisition component 11 is set in the portable terminal 1, the corresponding relationship storage component 21A, the running speed characteristic amount calculation component 24, and the recommended running speed calculation component 23A are set in the server 2A (that is, the running speed acquisition component 11 and the corresponding relationship storage component 21A, the running speed characteristic amount calculation component 24, and the recommended running speed calculation component 23A are set in different devices), it further includes a running speed sending step S3 and a recommended running speed sending step S6.

[0124] The running speed acquisition step S2, the running speed transmission step S3, and the recommended running speed transmission step S6 are the same as those in the first embodiment, and thus description thereof is omitted. Hereinafter, the correspondence storage step S1A, the running speed feature value calculation step S7, and the recommended running speed calculation step S5A are sequentially described.

[0125] [Correspondence relationship storage step S1A]

[0126] In the correspondence storage step S1A, a second correspondence is stored in the correspondence storage unit 21A, wherein the second correspondence is a correspondence between a running speed characteristic quantity defined by an average running speed and a running speed deviation in a distance run of a predetermined distance that an unspecified number of runners have run, and a recommended running speed in the distance run. The second correspondence in the correspondence storage unit 21A may be stored permanently (when the correspondence storage unit 21 includes a ROM or a hard disk, etc.), or may be temporarily stored when input from the outside to the server 2A when executing the recommended running speed calculation method of the present embodiment (when the correspondence storage unit 21A includes a RAM, etc.).

[0127] As the running speed feature quantity constituting the second correspondence, for example, the linear sum of the average running speed and the deviation of the running speed, or the linear sum of the Nth power (N≧2) of the average running speed and the Nth power (N≧2) of the deviation of the running speed, or the average running speed of the deviation of the running speed and the deviation of the running speed itself can be used. As the deviation of the running speed, for example, the standard deviation or the mean square error of the running speed can be used. On the other hand, as the recommended running speed constituting the second correspondence, for example, the recommended running speed calculated (predicted) based on the measured VO2max (maximum oxygen uptake) or the recommended running speed calculated (predicted) based on the measured AT speed can be used, or the first correspondence used in the first embodiment (refer to Figure 3 ) is used as the recommended running speed.

[0128] The second correspondence relationship can be created by statistical processing using the running speed feature values ​​of an unspecified number of runners and the recommended running speed, or by machine learning such as a neural network.

[0129] Fig. 9 This is a diagram showing an example of a second correspondence relationship created by statistical processing. Fig. 9 The horizontal axis is the running speed characteristic (in Fig. 9 In the example shown in FIG, the linear sum of the average running speed and the standard deviation of the running speed is plotted, and the vertical axis is the recommended running speed. Fig. 9 As shown, the two have a relatively good correlation. In addition, Fig. 9 The second correspondence shown in derives from the use of many data points ( Fig. 9 The second correspondence relationship is represented by a function form (a regression line represented by a dotted line) obtained by performing regression calculation on the point represented by "0" in the figure, but the present invention is not limited to this, and the second correspondence relationship can also be represented in a table form.

[0130] [Running Speed ​​Feature Quantity Calculation Step S7]

[0131] In the running speed characteristic quantity calculation step S7, the running speed characteristic quantity calculation component 24 calculates the average running speed and the running speed deviation based on the running speed of each specified interval in the distance run of the determined runner obtained in the running speed acquisition step S2 and sent by the running speed sending step S3, and calculates the running speed characteristic quantity specified by the average running speed and the running speed deviation.

[0132] [Recommended running speed calculation step S5A]

[0133] In the recommended running speed calculation step S5A, the recommended running speed calculation unit 23A calculates a recommended running speed for the determined runner in the distance run based on the running speed characteristic quantity of the determined runner calculated in the running speed characteristic quantity calculation step S7 and the second correspondence stored in the correspondence storage step 21A. Specifically, for example, the value of the running speed characteristic quantity of the determined runner calculated in the running speed characteristic quantity calculation step S7 is input into the running speed characteristic quantity calculation unit 23A. Fig. 9 The horizontal axis of the graph is used to calculate the value of the corresponding vertical axis as the recommended running speed recommended for the determined runner.

[0134] According to the recommended running speed calculation system 100A of the present embodiment described above and the recommended running speed calculation method using the same, in the running speed characteristic quantity calculation step S7, the running speed characteristic quantity specified by the average running speed and the running speed deviation in the distance run of the predetermined distance actually run by the determined runner is calculated by the running speed characteristic quantity calculation unit 24. Moreover, in the recommended running speed calculation step S5A, the recommended running speed in the same distance run recommended for the determined runner is calculated by the recommended running speed calculation unit 23A based on the calculated running speed characteristic quantity of the determined runner and the second correspondence (correspondence between the running speed characteristic quantity in the distance run and the recommended running speed) stored in the correspondence storage unit 21A in the correspondence storage step S1A. According to the knowledge of the present inventors, there is a relatively good correlation between the running speed characteristic quantity specified by the average running speed and the running speed deviation and the recommended running speed. Therefore, the recommended running speed calculated by the recommended running speed calculation step S5A is a recommended running speed suitable for the determined runner.

Claims

1. A recommended running speed calculation system, characterized in that: include: a correspondence storage unit storing a second correspondence, the second correspondence being a correspondence between a running speed characteristic quantity defined by an average running speed in a distance run of a predetermined distance that has been run by an unspecified plurality of runners and a deviation of the running speed in each predetermined interval in the distance run of the predetermined distance that has been run, and a recommended running speed in the distance run of the predetermined distance; a running speed characteristic value calculation unit that calculates a running speed characteristic value, the running speed characteristic value being defined by an average running speed in a distance run of the predetermined distance that the runner has run and a deviation of the running speed in each predetermined interval in the distance run of the predetermined distance that the runner has run; and The recommended running speed calculation unit calculates a recommended running speed for the determined runner in a distance run of the predetermined distance, which is recommended for the determined runner, based on the running speed characteristic quantity of the determined runner calculated by the running speed characteristic quantity calculation unit and the second correspondence relationship stored in the correspondence relationship storage unit.

2. The recommended running speed calculation system according to claim 1, characterized in that: The second correspondence relationship is created by statistical processing or machine learning using the running speed feature value and the recommended running speed of an unspecified number of runners.

3. The recommended running speed calculation system according to claim 1 or 2, characterized in that: The recommended running speed for the distance running of the predetermined distance in the second correspondence relationship is calculated by measuring the maximum oxygen uptake of the unspecified plurality of runners.

4. A method for calculating a recommended running speed, characterized in that: include: a correspondence storage step for storing a second correspondence, wherein the second correspondence is a correspondence between a running speed characteristic quantity defined by an average running speed in a distance run of a predetermined distance that has been run by an unspecified number of runners and a deviation of the running speed in each predetermined interval in the distance run of the predetermined distance that has been run, and a recommended running speed in the distance run of the predetermined distance; a running speed characteristic quantity calculation step of calculating a running speed characteristic quantity, the running speed characteristic quantity being defined by an average running speed in a distance run of the predetermined distance that the runner has run and a deviation of the running speed in each predetermined interval in the distance run of the predetermined distance that the runner has run; and The recommended running speed calculation step calculates a recommended running speed for the determined runner in a distance run of the specified distance based on the running speed characteristic value of the determined runner calculated by the running speed characteristic value calculation step and the second correspondence stored by the correspondence storage step.

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