JP6004160B2 - Information processing apparatus, exercise support information providing system, exercise support information providing method, exercise support information providing program, and recording medium - Google Patents

Description

  The present invention relates to an information processing apparatus, an exercise support information providing system, an exercise support information providing method, and the like.

  It is generally known that telemetry systems are used in automobile racing. In a car race, a telemetry system allows a person outside the vehicle to grasp detailed information about the vehicle, such as the state of the engine, in real time. A person outside the vehicle can make a strategy for driving the vehicle based on the detailed vehicle information obtained in real time.

  Here, with regard to the races performed by humans, the competition strategy (corresponding to the user described later) is often considered by the athlete himself / herself. For example, pace-up, pace-down, spurt timing, etc. in a marathon are determined based on the athlete's practice and experience.

  However, as in Patent Document 1 and Patent Document 2, for example, by attaching a small sensor of tag or card shape to the athlete, the ranking and time of each athlete can be automatically managed. By analyzing this, it is possible to obtain data that will be useful for later marathon race strategies.

JP-A-9-117542 JP 2004-248703 A

  Patent Document 1 and Patent Document 2 propose a system for automatically managing ranking and time. However, it does not acquire biological information such as the heart rate and breathing rate of the runner and weather changes such as wind direction and wind speed in real time. For this reason, in a running race, a person other than the competitor (corresponding to the manager described later) cannot make a strategy according to the change of the situation and tell the player. Further, the same strategy is not always effective in a marathon race at a later date, for example, when the weather is completely different.

  In practice, the manager or coach may want to strategically instruct players to adjust their pace in order to improve their records. However, in the systems of Patent Document 1 and Patent Document 2, although time can be taken during the course, it cannot be associated with the biological information of the runner. For this reason, for example, it is impossible to make a strategy according to the real-time situation in consideration of the fatigue level of the runner.

  The present invention has been made in view of the above problems, and according to some aspects of the present invention, it is possible to realize a telemetry system in which a non-competitor makes a strategy in a race performed by a human. It is possible to provide an exercise support information providing system and an exercise support information providing method for generating information indicating the exercise pace suitable for the athlete in consideration of the biological information of the athlete and the prediction of the environmental change.

  SUMMARY An advantage of some aspects of the invention is to solve at least a part of the problems described above, and the invention can be implemented as the following aspects or application examples.

[Application Example 1]
An information processing apparatus according to this application example includes an environment prediction unit that predicts an environmental change of the exercise path using environment information of an exercise path in which the user exercises, the biological information of the user, and a prediction result of the environment prediction unit And an exercise support information generation unit that predicts a change in the biological information of the user and generates exercise support information that is information indicating a suitable exercise pace of the user.

  According to the information processing apparatus according to this application example, by providing an environment prediction unit, an environment change of an exercise route (hereinafter referred to as a course) in which a user (exercise person, for example, a player) exercises based on the environment information is exercised. Predictable. Moreover, exercise support information based on the user's biological information can be generated by providing the exercise support information generation unit. That is, it is possible to generate information indicating the pace of exercise suitable for the user in consideration of the user's biological information and prediction of environmental changes. A telemetry that allows a person other than the user (administrator, for example, a director or coach) to develop a strategy that responds to changes in the situation in real time by looking at exercise support information on a mobile terminal or server, for example. A system can be realized.

  Here, the environment information is, for example, environment data related to the weather measured by the environment measuring devices distributed in the area including the course. As the environmental data, for example, one or a plurality of data such as atmospheric pressure, temperature, humidity, wind direction, wind speed, rainfall, air quality, etc. may be used. The biological information may be one or a plurality of data such as a heart rate, a pulse rate, a respiratory rate, a blood sugar level, a sweating amount, a body temperature, a salt concentration in blood, an electrocardiogram, an electromyogram, an electroencephalogram, and the like.

  The exercise support information may be, for example, contents directly indicating the user's suitable exercise pace, such as “pace up to 300 m ahead” or “pace down when fatigue level is rapidly increasing”, that is, the instruction itself. Further, for example, it may be information used to change the user's pace, such as “following downhill up to 300 m ahead, stable temperature” and “heart rate suddenly increases by 30% and water supply is necessary”.

  The exercise is not limited to a specific one, but is suitable for endurance exercise such as marathon and long distance running. In such exercise, it is necessary to maintain the user's behavioral physical strength (especially endurance) to the goal. In order to improve recording while maintaining endurance, it is necessary to adjust the pace in consideration of environmental changes in addition to biological information. Therefore, the information processing apparatus according to this application example can be used effectively particularly during endurance-type exercise racing or practice.

[Application Example 2]
The information processing apparatus according to the application example includes performance data including at least one of the biological information of the user when the user has exercised along the same exercise path in the past, the prediction result of the environment prediction unit, and the exercise support information. The exercise support information generation unit may generate the exercise support information by using performance data from the storage unit.

[Application Example 3]
In the information processing apparatus according to the application example described above, the storage unit may also store a record when the user has exercised in the same exercise path in the past as the performance data.

  According to the information processing apparatus according to these application examples, exercise support information suitable for each of the users can be generated by, for example, performing comparison using the past performance data of the users. At this time, record may be contained in performance data. It is possible to set exercise target information by setting a shortened target time for past records. Here, the shortened target time is, for example, a content that is shortened by 3 minutes from the past record, and may be stored in the storage unit by the director or the coach.

  According to the information processing apparatus according to these application examples, each user can use the biological information of the user when the user has exercised along the same exercise path in the past, the prediction result of the environment prediction unit, exercise support information, and the like. It is possible to generate exercise support information that supports the improvement of individual records.

[Application Example 4]
The information processing apparatus according to the application example includes a fatigue level calculation unit that calculates the fatigue level of the user using the biological information of the user, and the exercise support information generation unit predicts a change in the fatigue level. Then, the exercise support information may be generated.

[Application Example 5]
In the information processing apparatus according to the application example, the exercise support information generation unit may generate exercise support information that instructs the user to maintain or change the pace of exercise.

  According to the information processing apparatus according to these application examples, the fatigue level calculation unit that calculates the fatigue level of the user using the biological information of the user is included. The exercise support information generation unit predicts the change in the fatigue level using, for example, the prediction result of the environment prediction unit, and can determine whether the goal can be reached or whether the fatigue level reaches the limit in the middle. Is possible. Therefore, it is possible to generate exercise support information that enables an effective strategy with high feasibility.

  At this time, the exercise support information generation unit may generate exercise support information that instructs the user to maintain or change the exercise pace (for example, pace up or pace down). Users receive direct pace instructions, so they can strategically improve their records even when practicing without a supervisor or coach.

[Application Example 6]
The exercise support information providing system according to this application example includes any one of the information processing devices described above and a plurality of environment measurement devices arranged in a distributed manner in a region including the exercise path.

  According to the exercise support information providing system according to this application example, environmental conditions are analyzed in real time using environmental information measured by each of a plurality of environmental measurement devices distributed and arranged in an area including a course. Therefore, it is possible to more accurately predict changes in the course environment, and to allow the information processing apparatus to present more accurate exercise support information to the user.

[Application Example 7]
The method for providing exercise support information according to the application example includes a step of predicting an environmental change of the exercise path using environment information of an exercise path where the user exercises, and a step of acquiring the biological information of the user. Further, by using the change in the environment of the exercise path and the acquired biometric information of the user, the change of the biometric information of the user is predicted, and exercise support information that is information indicating a suitable exercise pace of the user is obtained. Generating.

[Application Example 8]
The program according to this application example includes an environment prediction unit that predicts an environment change of the exercise path using environment information of an exercise path that the user exercises, and the biometric information of the user and the prediction of the environment prediction unit. The result is used to predict a change in the biometric information of the user and to function as an exercise support information generation unit that generates exercise support information that is information indicating a suitable exercise pace of the user.

[Application Example 9]
The recording medium according to the application example is a recording medium in which the program according to the application example is recorded.

FIG. 1A to FIG. 1B are explanatory diagrams of an outline of an exercise support information providing system. 2A to 2C are diagrams illustrating an example of an appearance of an information terminal. The figure which shows the structural example of the exercise assistance information provision system of 1st Embodiment. The figure which shows the structural example of an environmental measurement apparatus. The figure which shows the structural example of the information terminal in 1st Embodiment. The figure which shows the structural example of the server in 1st Embodiment. FIGS. 7A to 7D are diagrams illustrating an example of a prediction result of an environmental change. The figure which shows an example of the flowchart of the process of the server in 1st Embodiment. The figure which shows an example of the flowchart of the process of the information terminal in 1st Embodiment. The figure which shows an example of the display screen of an information terminal. The figure which shows another example of the display screen of an information terminal. The figure which shows the structural example of the information terminal in 2nd Embodiment. The figure which shows the structural example of the server in 2nd Embodiment. The figure which shows an example of the flowchart of the process of the information terminal in 2nd Embodiment. The figure which shows an example of the flowchart of the process of the server in 2nd Embodiment.

  DESCRIPTION OF EMBODIMENTS Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the drawings. The embodiments described below do not unduly limit the contents of the present invention described in the claims. Also, not all of the configurations described below are essential constituent requirements of the present invention.

1. 1. First embodiment 1-1. Outline of Exercise Support Information Providing System FIG. 1A to FIG. 1B are explanatory diagrams about an outline of an exercise support information providing system. In the exercise support information providing system of the first embodiment, as shown in FIG. 1A, there are a plurality of environment measuring devices 2 (indicated by white circles) in an area including a competition course such as a marathon. Dispersed and arranged at intervals of 10 m to several hundred m. Each environment measuring device 2 may be arranged along a course or may not necessarily be arranged along a course. Moreover, the environment measuring device 2 may not be arranged at a uniform density, and may be dense depending on the location. For example, the density of the environmental measurement device 2 may be high around the course, and the density of the environmental measurement device 2 may be low in other locations.

  These environmental measurement devices 2 form an environmental measurement network in the area including the course, and each environmental measurement device 2 measures environmental data such as the current weather and transmits it to a server (not shown).

  Further, in the exercise support information providing system of the present embodiment, as shown in FIG. 1B, the user 7 (each user 7 in a race or the like in which a plurality of people participate) receives the information terminal 5 and the biological information sensor 6 (6a). , 6b etc.) and carry out the competition. The information terminal 5 and the biological information sensor 6 (6a, 6b, etc.) are connected by wire or wireless.

  The information terminal 5 (each information terminal 5 in a race or the like in which a plurality of people participate) acquires the biometric information of the user 7 from the biometric information sensor 6 (6a, 6b, etc.) and generates position information, and a server (not shown) Send to.

  The server predicts the temporal transition of the environment in the area from the time series of the environmental data measured in real time by each environmental measuring device 2. Further, the server receives the biological information and position information of the user 7 from the information terminal 5. Then, the server generates information (hereinafter referred to as “exercise support information”) indicating a suitable exercise pace of the user from the environmental prediction result, the user's biological information and position information, and the information terminal 5 carried by the user. Send to.

  2A, 2 </ b> B, and 2 </ b> C are diagrams illustrating an example of the appearance of the information terminal 5. The information terminal 5 may be, for example, a wristwatch type as shown in FIG. 2 (A), put in a pocket of clothes as shown in FIG. 2 (B), or a user with a band or clip. 7 may be a type fixed to the body or clothes. Alternatively, the information terminal 5 may be a terminal such as a smartphone or a mobile phone as shown in FIG. Further, it may be a navigation terminal. The user 7 switches the screen or transmits information to the server by operating the operation unit 40 of the information terminal 5, and the exercise support information received from the server is displayed on the display unit (display screen) 70 of the information terminal 5. Is displayed. Note that the information terminal 5 may be provided with a contact detection mechanism for the display unit 70 and also use the display unit 70 as an operation unit.

  In addition, the exercise support information provision system of this embodiment can be applied not only to a marathon event but also to an arbitrary competition that moves a course and its practice. Examples of competitions moving on the course include marathon (running), racewalking (walking), triathlon, cross country, Nordic skiing, bicycle road racing (cycling) and the like.

1-2. Configuration of exercise support information provision system [Overall configuration]
FIG. 3 is a diagram illustrating a configuration example of the exercise support information providing system according to the first embodiment. The exercise support information providing system of this embodiment may omit or change some of the components (each unit) in FIG. 3, or may have a configuration in which other components are added.

  As shown in FIG. 3, the exercise support information providing system 1 according to the first embodiment includes a plurality of environment measurement devices 2, a server 4, a plurality of information terminals 5 carried by each user, and an information terminal attached to each user. 5 includes a biological information sensor 6 (6a, 6b, etc.) that communicates with 5 in a wired or wireless manner. In FIG. 3, a plurality of users are assumed, and a plurality of information terminals 5 carried by each user are shown. However, one user and one information terminal 5 may be provided. The exercise support information providing system 1 can be used even when the user is practicing alone.

  The environment measuring device 2 is distributed in the area including the course, measures the environment such as the weather at each point in the area in real time, and transmits the measured environment data (environment information) to the communication network 3 (Internet or LAN). Etc.) to the server 4.

  The biological information sensor 6 is a sensor that acquires a user's biological information. The biological information is information such as heart rate, pulse rate, respiratory rate, blood sugar level, sweating volume, body temperature, blood salinity, electrocardiogram, electromyogram, electroencephalogram, and the like. The biological information sensor 6 is a sensor that acquires one or a plurality of pieces of biological information of these various types of biological information, and is attached to a position where necessary biological information can be acquired. For example, the biological information sensor 6 that acquires the pulse wave number may be mounted so as to come into contact with the user's wrist. Further, for example, the biological information sensor 6 that acquires an electroencephalogram may be incorporated in a headband or a sun visor. Part or all of the biological information sensor 6 may be integrated with the information terminal 5.

  The information terminal 5 generates user location information and transmits it to the server 4 via the communication network 3. Further, the information terminal 5 acquires the user's biometric information from the biometric information sensor 6 and transmits it to the server 4 via the communication network 3.

  The server 4 (an example of an information processing device) receives environment data from the environment measurement device 2 via the communication network 3 and receives user location information, biological information, and the like from the information terminal 5. Then, the server 4 analyzes the received information to generate exercise support information and transmits it to the information terminal 5.

  The information terminal 5 receives the exercise support information and notifies the user 7 by display or sound.

[Configuration of environmental measurement equipment]
FIG. 4 is a diagram illustrating a configuration example of the environment measuring device 2 in the present embodiment. As shown in FIG. 4, in this embodiment, the environmental measurement device 2 includes an atmospheric pressure sensor 10, a temperature sensor 11, a humidity sensor 12, a wind direction / wind speed sensor 13, a rainfall sensor 14, an air quality sensor 15, and a transmission unit 16. Prepare. However, the environment measuring device 2 may not include a part of the various sensors described above, and conversely, may include another sensor (such as a radiation sensor).

  The atmospheric pressure sensor 10 is a sensor that measures ambient atmospheric pressure. For example, the lower the atmospheric pressure, the lower the oxygen absorption rate of the user, so the user is more tired and the fatigue level is higher.

  The temperature sensor 11 is a sensor that measures the ambient temperature (air temperature). For example, the higher the temperature (air temperature), the greater the amount of sweating of the user. Therefore, physical strength is deprived and the degree of fatigue increases. Conversely, the lower the temperature (air temperature), the more the user's body temperature is deprived, and the user consumes calories to maintain the body temperature. Therefore, there is a possibility that the user's physical strength is consumed and the fatigue level becomes high.

  The humidity sensor 12 is a sensor that measures ambient humidity. For example, as the humidity increases, the amount of sweating of the user increases, so that the user becomes dehydrated and the fatigue level increases.

  The wind direction / wind speed sensor 13 is a sensor that measures the wind direction and wind speed in the vicinity. For example, the stronger the headwind, the greater the resistance received by the user, so that the user's physical strength is consumed and the fatigue level increases.

  The rainfall sensor 14 is a sensor that measures the rainfall per unit time in the surrounding area. For example, when the temperature is low and the amount of rainfall is large, the user's body temperature is lost, so the user consumes calories to maintain the body temperature. Therefore, there is a possibility that the user's physical strength is consumed and the fatigue level becomes high.

The air quality sensor 15 is a sensor that measures the concentration of fine particles (smoke, sand, pollen, etc.) and nitrogen oxides (NO _x ) in the surrounding air. For example, the higher the concentration of fine particles or the like present in the air, the lower the oxygen concentration, so that the user is more likely to get tired and the fatigue level is higher.

  Each environment measuring device 2 measures the environment such as weather in real time with a period of, for example, a second order, and the atmospheric pressure sensor 10, the temperature sensor 11, the humidity sensor 12, the wind direction / wind speed sensor 13, the rainfall sensor 14, and the air quality sensor 15 The environmental data (atmospheric pressure data, temperature data, humidity data, wind direction / wind speed data, rainfall amount data, air quality data) measured by the above is transmitted to the server 4 by the transmission unit 16.

  Even if the environmental measuring device 2 is not equipped with a wind direction / velocity sensor, the atmospheric pressure gradient between two arbitrary points (between the two environmental measuring devices 2) (= pressure difference between two points / 2 points) Distance), and the current wind direction and speed can be estimated from the distribution of the atmospheric pressure gradient.

  Here, as described above, various forms can be adopted for the arrangement of the environmental measurement device. For example, as shown in FIG. 1 (A), there may be a form in which they are distributed at regular intervals of several tens of meters to several hundreds of meters. At this time, since the distance between the measuring devices is determined, the processing load in the calculation based on the measurement data is reduced. Further, for example, it is possible to adopt an arrangement in which the density of the environmental measurement device is increased as the user's course is closer. At this time, it is possible to improve the measurement accuracy near the course.

[Configuration of information terminal]
FIG. 5 is a diagram illustrating a configuration example of the information terminal 5 in the present embodiment. As shown in FIG. 5, in this embodiment, the information terminal 5 includes an operation unit 40, a processing unit (CPU) 50, a biological information receiving unit 60, a GPS data receiving unit 62, a storage unit 66, a recording medium 68, and a display unit. 70, a sound output unit 72, and a communication unit 74. The information terminal 5 of the present embodiment may omit or change some of the components (each unit) in FIG. 5 or may have a configuration in which other components are added.

  The operation unit 40 is an input device including operation keys, button switches, and the like, and outputs an operation signal corresponding to an operation by a user to a processing unit (CPU) 50.

  The display unit 70 is a display device configured by an LCD (Liquid Crystal Display) or the like, and displays various types of information based on display signals input from the processing unit (CPU) 50.

  The sound output unit 72 is a device that outputs sound such as a speaker, and outputs various sounds (including sound) based on a signal input from the processing unit (CPU) 50.

  The biometric information receiving unit 60 performs a process of receiving the biometric information of the user acquired by the biometric information sensor by performing wired communication or short-range wireless communication with the biometric information sensor.

  The GPS data receiving unit 62 receives a radio signal transmitted from a GPS satellite and performs a process of demodulating a navigation message including orbit information and time information of the GPS satellite superimposed on the radio signal.

  The storage unit 66 stores programs, data, and the like for the processing unit (CPU) 50 to perform various types of calculation processing and control processing. The storage unit 66 is used as a work area of the processing unit (CPU) 50 and receives data input from the operation unit 40, programs and data read from the recording medium 68, and received from the server via the communication unit 74. It is also used to temporarily store the data and the calculation results executed by the processing unit (CPU) 50 according to various programs.

  The processing unit (CPU) 50 performs various types of calculation processing and control processing according to programs stored in the storage unit 66 and the recording medium 68. Specifically, the processing unit (CPU) 50 receives data from the biological information receiving unit 60 and the GPS data receiving unit 62 and performs various calculation processes. In addition, the processing unit (CPU) 50 performs various processes in accordance with operation signals from the operation unit 40, processes for displaying various types of information on the display unit 70, processes for outputting various types of sounds to the sound output unit 72, and communication. Processing for controlling data communication with the server via the unit 74 is performed.

  In particular, in the present embodiment, the processing unit (CPU) 50 includes a position information generation unit 51, a communication control unit 52, a display control unit 53, and a sound output control unit 54. However, the processing unit (CPU) 50 of the present embodiment may omit or change some of these configurations (elements), or may have a configuration in which other configurations (elements) are added.

  The position information generation unit 51 performs a positioning calculation using the trajectory information and time information included in the navigation message demodulated by the GPS data reception unit 62, and performs a process of generating the position information of the information terminal 5. In the present embodiment, the position information generation unit 51 generates the position information of the information terminal 5 using the navigation message demodulated by the GPS data reception unit 62, but the information terminal uses other means. 5 pieces of position information may be generated. In that case, the GPS data receiving unit 62 may be omitted.

  For example, the position information generation unit 51 receives radio waves from a plurality of base stations (base stations such as mobile phones), and uses a technique such as triangulation using the received radio wave intensity and the position information of each base station. The position information of the information terminal 5 may be generated.

  The communication control unit 52 performs processing for controlling data communication performed with the server via the communication unit 74. In particular, in the present embodiment, the communication control unit 52 performs processing for transmitting the biological information received by the biological information receiving unit 60 and the positional information generated by the positional information generating unit 51 to the server 4 via the communication unit 74. . Further, the communication control unit 52 performs processing for receiving exercise support information from the server via the communication unit 74.

  The display control unit 53 performs processing for controlling display on the display unit 70. In particular, in the present embodiment, the display control unit 53 performs processing for causing the display unit 70 to display exercise support information received from the server.

  The sound output control unit 54 performs processing for causing the sound output unit 72 to output various sounds. For example, the sound output control unit 54 may cause the sound output unit 72 to output a sound that reads out exercise support information.

  The recording medium 68 is a computer-readable recording medium. In particular, in the present embodiment, a program for causing the computer to function as each of the above-described units is stored. Then, the processing unit (CPU) 50 according to the present embodiment executes a program stored in the recording medium 68, so that the position information generation unit 51, the communication control unit 52, the display control unit 53, and the sound output control unit 54. Function as. Alternatively, the program is received from a server connected to a wired or wireless communication network via the communication unit 74 or the like, the received program is stored in the storage unit 66 or the recording medium 68, and the program is executed. Also good.

  Note that at least a part of the position information generation unit 51, the communication control unit 52, the display control unit 53, and the sound output control unit 54 may be realized by hardware (a dedicated circuit).

  The recording medium 68 can be realized by, for example, an optical disk (CD, DVD), a magneto-optical disk (MO), a magnetic disk, a hard disk, a magnetic tape, or a memory (ROM, flash memory, etc.).

  The information terminal 5 may include an activity amount sensor that acquires activity data necessary for calculating the activity amount of the user carrying the information terminal 5 (not shown). For example, when calculating the amount of activity based on the number of steps of the user (an example of activity data), a pedometer may be used as the activity amount sensor. Further, when calculating an activity amount based on a user's movement (movement speed or movement time) (an example of activity data), a triaxial acceleration sensor or the like may be used as the activity amount sensor. Activity data from the activity amount sensor may be transmitted to the server 4 by the communication control unit 52 via the communication unit 74. For example, the server 4 may perform the correction of the fatigue level based on the activity data.

Server configuration
FIG. 6 is a diagram illustrating a configuration example of the server 4 in the present embodiment. As shown in FIG. 6, in the present embodiment, the server 4 includes a processing unit (CPU) 20, a storage unit 30, a recording medium 32, a communication unit 34, an operation unit 36, a display unit 38, and a sound output unit 39. It is configured. The server 4 of this embodiment may omit or change some of the components (each unit) in FIG. 6 or may have a configuration in which other components are added.

  The operation unit 36 is an input device including operation keys, button switches, and the like, and outputs an operation signal corresponding to an operation by an administrator (for example, a supervisor or a coach) to the processing unit (CPU) 20.

  The display unit 38 is a display device configured by an LCD or the like, and displays various types of information based on a display signal input from the processing unit (CPU) 20.

  The sound output unit 39 is a device that outputs sound, such as a speaker, and outputs various sounds (including sound) based on signals input from the processing unit (CPU) 20.

  The storage unit 30 stores programs, data, and the like for the processing unit (CPU) 20 to perform various calculation processes and control processes. The storage unit 30 is used as a work area of the processing unit (CPU) 20, and programs and data read from the recording medium 32, information received via the communication unit 34, and various types of processing unit (CPU) 20 are used. It is also used for temporarily storing calculation results executed according to a program.

  The data stored in the storage unit 30 may include user performance data. The performance data may include biological information, prediction results, exercise support information, records, and the like when the user has exercised along the same exercise path in the past. These are written in the storage unit 30 in accordance with an instruction from the processing unit (CPU) 20 or from the operation unit 36 as appropriate. Further, it is read when the exercise support information generating unit 23 generates exercise support information.

  The processing unit (CPU) 20 performs various calculation processes and control processes according to programs stored in the storage unit 30 and the recording medium 32. Specifically, the processing unit (CPU) 20 receives data from the environment measurement device 2 and the information terminal 5 via the communication unit 34 and performs various calculation processes. In addition, the processing unit (CPU) 20 performs various processes in accordance with operation signals from the operation unit 36, processes for displaying various types of information on the display unit 38, processes for outputting various types of sound on the sound output unit 39, and communication The processing etc. which control data communication with the environment measuring device 2, the information terminal 5, etc. via the part 34 are performed.

  In particular, in this embodiment, the processing unit (CPU) 20 includes an environment data acquisition unit 21, an environment prediction unit 22, an exercise support information generation unit 23, a communication control unit 24, a display control unit 25, a sound output control unit 26, and a terminal. A data acquisition unit 27 and a fatigue level calculation unit 28 are included. However, the processing unit (CPU) 20 of the present embodiment may omit or change some of these configurations (elements), or may have a configuration in which other configurations (elements) are added.

  The environmental data acquisition unit 21 continuously acquires environmental data together with the identification ID from the environmental measurement device 2 via the communication unit 34, and sequentially stores the storage unit 30 in association with the identification ID assigned to each environmental measurement device 2. Save the file.

  The environment prediction unit 22 performs a process of predicting the environment of the area including the course from the time series of the environment data acquired by the environment data acquisition unit 21. Specifically, the environment prediction unit 22 comprehensively analyzes changes in the environment at a measurement point of the environment measurement device from a predetermined time (preferably a time before the user starts the competition) to the present. Then, the environment at the measurement point is predicted until a predetermined time interval at a predetermined time interval (for example, 1 hour after an interval of 10 minutes).

  For example, if the temperature distribution around the course is 30 minutes before, the distribution is as shown in FIG. 7A, and the current distribution is as shown in FIG. 7B. Although the temperatures of A, B, and D have not changed, the temperatures of areas C, E, F, and G have decreased. In such a case, for example, after 30 minutes, the environment predicting unit 22 does not change the temperatures of the areas A, B, and D as shown in FIG. As shown in FIG. 7 (D), the temperature in Areas A, B, and D does not change and the temperatures in Areas C, E, F, and G further decrease after one hour. It may be predicted.

  The terminal data acquisition unit 27 continuously acquires the user's location information and biometric information together with the identification ID (terminal ID) from the information terminal 5 via the communication unit 34, and the identification ID assigned to each information terminal 5 Are stored in the storage unit 30 in association with each other.

  The fatigue level calculation unit 28 performs processing for calculating the fatigue level of the user. In order to objectively grasp the physical condition of each person, the fatigue level calculation unit 28 acquires the user's biological information from the terminal data acquisition unit 27 and calculates the fatigue level. For example, the fatigue level may be calculated by a method of adding points when a specific condition is satisfied. For example, if there is a heart rate, a pulse rate, an increase in respiratory rate, a decrease in blood sugar level, an increase in sweating, an increase in body temperature, a decrease in muscle activity in an electromyogram, points may be added. Further, an algorithm that recovers fatigue according to the physical ability of the user, that is, a calculation method in which the degree of fatigue decreases to some extent with time may be employed. The calculated fatigue level may be stored in the storage unit.

  The exercise support information generation unit 23 generates exercise support information that is information indicating a suitable exercise pace of the user from the prediction result of the environment prediction unit 22 and the fatigue level calculated by the fatigue level calculation unit 28. For example, the exercise support information may be content directly indicating the user's suitable exercise pace, such as “pace up to 300 meters ahead” or “pace down when fatigue level is rapidly increasing”, that is, the instruction itself. Further, for example, it may be information used to change the user's pace, such as “following downhill up to 300 m ahead, stable temperature” and “heart rate suddenly increases by 30% and water supply is necessary”.

  At this time, the exercise support information generation unit 23 may acquire a prediction result about the environment at the current and future positions of the user from the environment prediction unit 22 and simulate the fatigue level from the prediction result. Simulate is the prediction of the change in the degree of fatigue until the goal. For example, in consideration of physical wear due to sweating, a point of fatigue may be added according to the temperature when the temperature is high, and a point may be added according to the wind speed even in the case of headwind.

  Further, past records, biological information, prediction results of the environment prediction unit, exercise support information, and the like may be stored in the storage unit as performance data. The exercise support information generation unit 23 can generate exercise support information suitable for each user by reading and comparing them. At this time, the exercise support information may be generated so that the shortened target time for the past record is set in advance and the record is updated. Here, the shortened target time is, for example, a content that is shortened by 3 minutes from the past record, and may be stored in the storage unit by the director or the coach.

  The exercise support information generation unit 23 generates exercise support information so that the simulated fatigue level does not reach a limit value (hereinafter, limit value) at which the user cannot move to the goal. This allows users to adjust their pace according to a feasible strategy. It is also possible to generate exercise support information that adjusts the pace so as not to leave fatigue by adjusting the shortened target time in practice just before the race.

  The communication control unit 24 performs processing for controlling data communication and the like with the environment measurement device 2 and the information terminal 5 performed via the communication unit 34.

  The display control unit 25 performs processing for controlling display on the display unit 38. In particular, in the present embodiment, the display control unit 25 performs processing for causing the display unit 38 to display exercise support information generated by the exercise support information generation unit 23. Further, the display control unit 25 may display the fatigue level generated by the fatigue level calculation unit 28 on the display unit 38.

  The sound output control unit 26 performs processing for causing the sound output unit 39 to output various sounds. For example, the sound output control unit 26 may perform a process of causing the sound output unit 39 to output an alarm sound or a sound when there is a change in the exercise support information.

  The recording medium 32 is a computer-readable recording medium. In particular, in the present embodiment, a program for causing the computer to function as each of the above-described units is stored. Then, the processing unit (CPU) 20 according to the present embodiment executes a program stored in the recording medium 32, whereby an environment data acquisition unit 21, an environment prediction unit 22, an exercise support information generation unit 23, and a communication control unit. 24, a display control unit 25, a sound output control unit 26, a terminal data acquisition unit 27, and a fatigue level calculation unit 28. Alternatively, the program is received from another server connected to a wired or wireless communication network via the communication unit 34 or the like, the received program is stored in the storage unit 30 or the recording medium 32, and the program is executed. It may be. However, at least one of the environment data acquisition unit 21, the environment prediction unit 22, the exercise support information generation unit 23, the communication control unit 24, the display control unit 25, the sound output control unit 26, the terminal data acquisition unit 27, and the fatigue level calculation unit 28. The unit may be realized by hardware (dedicated circuit).

  The recording medium 32 can be realized by, for example, an optical disk (CD, DVD), a magneto-optical disk (MO), a magnetic disk, a hard disk, a magnetic tape, or a memory (ROM, flash memory, etc.).

1-3. Process of Exercise Support Information Providing System FIGS. 8 and 9 are diagrams illustrating an example of a flowchart of the process of the exercise support information providing system 1 of the present embodiment. FIG. 8 is a diagram illustrating an example of a flowchart of processing by the processing unit (CPU) 20 of the server 4, and FIG. 9 is a diagram illustrating an example of a flowchart of processing by the processing unit (CPU) 50 of the information terminal 5. .

  The processing unit (CPU) 20 of the server 4 waits until a process start operation is performed by an administrator (for example, a director or a coach) (N in S10). When the start operation is performed (Y in S10), Then, the information terminal 5 is instructed to start measurement via the communication network 3 (S12).

  Next, the processing unit (CPU) 20 of the server 4 receives the environmental data from the environmental measurement device 2 and stores it in the storage unit 30 (S14).

  The processing unit (CPU) 50 of the information terminal 5 waits until receiving a measurement start instruction from the server 4 (N in S50). When receiving a measurement start instruction (Y in S50), first, the user's position information is obtained. The terminal ID and position information are generated and transmitted to the server 4 (S52).

  The processing unit (CPU) 20 of the server 4 receives the terminal ID and the user location information from the information terminal 5, and stores them in the storage unit 30 (S16).

  Next, the processing unit (CPU) 50 of the information terminal 5 acquires the user's biometric information from the biometric information sensor 6, and transmits the terminal ID and the biometric information to the server 4 (S54).

  The processing unit (CPU) 20 of the server 4 receives the terminal ID and the user's biological information from the information terminal 5, and stores them in the storage unit 30 (S18).

  The processing unit (CPU) 20 of the server 4 calculates the fatigue level based on the user's biological information and stores it in the storage unit 30 (S20).

  Next, the processing unit (CPU) 20 of the server 4 predicts environmental changes around the course from the time series of environmental data up to the present (environment data stored in order in step S14) (S22).

  Then, the processing unit (CPU) 20 of the server 4 reads out the terrain data (for example, the state of the road such as distance, undulation, straight line, and curve) of the course on which the user runs and divides it into areas based on the change and distance (S24). ). For example, the course may be divided by a curve and managed by assigning a number to each area. Further, the roads may be classified according to road conditions such as uphill, downhill, and horizontal. Furthermore, when there is an area where the distance is too long, it may be divided by a certain distance (for example, 500 m).

  The processing unit (CPU) 20 of the server 4 divides the course in which the user travels into areas as described above, and then represents an attribute (described later) representing a change in pace for each area boundary (hereinafter referred to as a boundary point). Pace up point, pace down point, pace maintenance point).

  Further, the processing unit (CPU) 20 of the server 4 reads the result data from the storage unit 30 (S26). Here, the result data includes a record when the user has exercised along the same exercise path in the past, and may include past biological information, prediction results, and exercise support information.

  The processing unit (CPU) 20 of the server 4 sets each of the boundary points as a pace-up point, a pace-down point, and a pace maintenance point so as to exceed this record by the shortened target time (S28). The pace-up point means that the running pace is increased more than the previous area, and the pace-down point means that the running pace is lowered than the previous area. Note that the base maintenance point means maintaining the pace of the previous area.

  At this time, past records, biological information, prediction results of the environment prediction unit, exercise support information, and the like may be referred to.

  The processing unit (CPU) 20 of the server 4 determines the time series of the fatigue level up to the present (environmental data stored in order in step S20), the predicted environmental change around the course, and the set pace (pacing up) for each boundary point. A fatigue degree from a point, a pace down point, or a pace maintenance point) to a goal is predicted (simulated) (S30).

  Then, the processing unit (CPU) 20 of the server 4 confirms that the simulated fatigue level does not reach the limit value at any point (S32). If the fatigue level exceeds the limit value (N in S32), it means that the user cannot continue the competition, so adjustments such as shortening the shortened target time are made (S34), and again to S28. It returns and performs the process of S28-S32.

  If the simulated fatigue level does not reach the limit value at any point (Y in S32), the processing unit (CPU) 20 of the server 4 generates exercise support information to be transmitted to the information terminal 5 (S36). ). Exercise support information includes all or part of the necessary course information, the set pace of the boundary point where the user will run next, the predicted environmental change, the degree of fatigue, and the necessary biological information in consideration of the user's location information. including. Then, the processing unit (CPU) 20 of the server 4 transmits the generated exercise support information to the information terminal 5.

  The processing unit (CPU) 50 of the information terminal 5 receives exercise support information from the server 4 (S60). For example, the processing unit (CPU) 50 of the user information terminal 5 may display a screen 100 as shown in FIG. In the screen 100 of FIG. 10, exercise support information, which is a specific pace change instruction (here, “please raise the pace”) for the user, is written. Therefore, the user can strategically adjust the running pace even when the coach or coach is not nearby.

  When the director or coach is near the user, the processing unit (CPU) 50 of the information terminal 5 of the director or coach may display a screen 100 as shown in FIG. 11, for example. In the screen 100 of FIG. 11, exercise support information for the players A and B running nearby is written. In order to enable judgment based on the experience of the director or coach, that is, to select a strategy, biometric information such as fatigue, heart rate, respiratory pitch, and comparison with past times are also displayed. At this time, the manager or coach may give instructions to the players A and B, for example, verbally. That is, when a director or a coach is nearby, the screen 100 as shown in FIG. 10 may not be displayed on the user information terminal 5. For example, when a user wants to concentrate on a race, it is preferable to receive verbal instructions from a manager or coach, and this embodiment can cope with such a situation.

  It should be noted that the process of S28 to S34 of the present embodiment does not instruct an increase in pace that would result in a fatigue level exceeding the limit value, and thus a strategy that can be actually realized is established. Then, exercise support information corresponding to the current position of the user is transmitted based on a strategy from a wide viewpoint that simulates the degree of fatigue to the goal (S36). Therefore, the possibility of improving the recording is higher than when a human gives an instruction (exercise support information) from a narrow viewpoint based on experience.

  The processing unit (CPU) 20 of the server 4 performs steps S14 to S14 every time a predetermined time Δt (for example, 1 minute) elapses (N in S38) until the processing end operation is performed by the administrator (N in S38). When the process of S36 is repeated and an end operation is performed (Y of S38), the information terminal 5 is instructed to end the measurement (S42), and the process ends.

  On the other hand, the processing unit (CPU) 50 of the information terminal 5 performs a step every time a predetermined time Δt (for example, 1 minute) elapses (Y in S64) until a measurement end instruction is received from the server 4 (N in S62). When the process of S52 to S60 is repeated and an instruction to end the measurement is received (Y of S62), the process ends.

  According to the exercise support information providing system of the first embodiment described above, the server 4 uses the environmental data measured by each of the plurality of environmental measurement devices 2 distributed and arranged in the area including the course. By analyzing in real time, environmental changes around the course can be accurately captured.

  Then, the server 4 calculates the fatigue level representing the degree of fatigue from the user's biological information, and simulates the fatigue level to the goal using the time series of the fatigue level, the predicted environmental change, and the set pace for each boundary point. To do. Therefore, based on a highly feasible strategy, it is possible to provide appropriate exercise support information regarding actions (pace distribution, pace change) that the user should take in the future.

  That is, it is possible to realize a telemetry system in which a person other than the user makes a strategy in a race performed by a human, and it is possible to generate information indicating the pace of exercise suitable for the user in consideration of the user's biological information and prediction of environmental changes.

  Further, according to the exercise support information providing system of the present embodiment, the server 4 having a high processing capacity directly receives the environmental data measured by the large number of environmental measuring devices 2 without using the information terminal 5, and receives the environmental data. By centrally managing and centrally processing exercise support information generation and the like, the processing load on the information terminal 5 can be greatly reduced.

2. Second Embodiment 2-1. Outline of Exercise Support Information Providing System In the exercise support information providing system of the second embodiment, the information terminal 5 performs the processing performed by the server 4 in the first embodiment. That is, the information terminal 5 generates exercise support information similar to that in the first embodiment by using the position information and biological information of the user 7 who carries the information terminal 5 and provides it to the user. Here, the information terminal 5 that generates exercise support information may be the information terminal 5 carried by each user, or may be only the information terminal 5 carried by the director or coach.

  Here, the information terminal 5 transmits the exercise support information of the user 7 having the information terminal 5 to the server 4, and the server 4 can collect and display the exercise support information of all the users 7. At this time, it may be stored and made into a database.

2-2. Configuration of exercise support information provision system [Overall configuration]
Since the overall configuration diagram of the exercise support information providing system of the second embodiment is the same as that of FIG. 3, the illustration thereof is omitted.

  In the exercise support information providing system 1 of the second embodiment, the information terminal 5 (an example of an information processing device) receives environmental data from each environmental measurement device 2 via the communication network 3. Alternatively, the information terminal 5 may directly receive environment data by performing data communication with each environment measurement device 2. Then, the information terminal 5 analyzes the environmental data, the biological information of the user 7 and the like, and generates exercise support information.

  If the exercise support information is generated only by the information terminal 5 carried by the director or coach, the user information terminal 5 can provide exercise support via the communication network 3 as in the first embodiment. It is only necessary to receive and display information.

  The server 4 collects the exercise support information generated by the information terminal 5 via the communication network 3 and can collect and display the exercise support information of all the users 7 on the display unit 38, for example. This is useful, for example, for a director or coach to grasp the status of all users 7.

  Since the configuration diagram of the environment measuring apparatus 2 in the second embodiment is the same as that in FIG. 4, illustration and description thereof are omitted.

[Configuration of information terminal]
FIG. 12 is a diagram illustrating a configuration example of the information terminal 5 in the second embodiment. As shown in FIG. 12, in this embodiment, the information terminal 5 includes an operation unit 40, a processing unit (CPU) 50, a biological information receiving unit 60, a GPS data receiving unit 62, a storage unit 66, a recording medium 68, and a display unit. 70, a sound output unit 72, and a communication unit 74. The information terminal 5 of the present embodiment may omit or change some of the components (each unit) in FIG. 12 or may have a configuration with other components added. The functions of the operation unit 40, the biological information receiving unit 60, the GPS data receiving unit 62, the storage unit 66, the recording medium 68, the display unit 70, the sound output unit 72, and the communication unit 74 are the same as those in the first embodiment. The description is omitted.

  The processing unit (CPU) 50 performs various types of calculation processing and control processing according to programs stored in the storage unit 66 and the recording medium 68. In particular, in this embodiment, the processing unit (CPU) 50 includes a position information generation unit 51, a communication control unit 52, a display control unit 53, a sound output control unit 54, an environment data acquisition unit 80, an environment prediction unit 81, and an exercise support. An information generation unit 82 and a fatigue level calculation unit 83 are included. However, the processing unit (CPU) 50 of the present embodiment may omit or change some of these configurations (elements), or may have a configuration in which other configurations (elements) are added.

  Since the functions of the position information generation unit 51, the communication control unit 52, the display control unit 53, and the sound output control unit 54 are the same as those in the first embodiment, description thereof is omitted.

  The environment data acquisition unit 80 continuously acquires the environment data measured by each environment measurement device 2 via the communication unit 74, and sequentially stores the data in association with the identification ID assigned to each environment measurement device 2. The process which preserve | saves to 66 is performed.

  Each process of the environment prediction unit 81, the exercise support information generation unit 82, and the fatigue level calculation unit 83 is the same as the environment prediction unit 22, the exercise support information generation unit 23, and the fatigue level calculation unit 28 in the first embodiment. Therefore, the description is omitted.

Server configuration
FIG. 13 is a diagram illustrating a configuration example of the server 4 in the second embodiment. As shown in FIG. 13, in the present embodiment, the server 4 includes a processing unit (CPU) 20, a storage unit 30, a recording medium 32, a communication unit 34, an operation unit 36, a display unit 38, and a sound output unit 39. It is configured. The server 4 of this embodiment may omit or change some of the components (each unit) in FIG. 13 or may have a configuration with other components added. Since the functions of the storage unit 30, the recording medium 32, the communication unit 34, the operation unit 36, the display unit 38, and the sound output unit 39 are the same as those in the first embodiment, description thereof will be omitted.

  The processing unit (CPU) 20 performs various calculation processes and control processes according to programs stored in the storage unit 30 and the recording medium 32. In particular, in the present embodiment, the processing unit (CPU) 20 includes a communication control unit 24, a display control unit 25, a sound output control unit 26, and a terminal data acquisition unit 27. However, the processing unit (CPU) 20 of the present embodiment may omit or change some of these configurations (elements), or may have a configuration in which other configurations (elements) are added.

  The terminal data acquisition unit 27 performs processing for acquiring exercise support information from the information terminal 5 via the communication unit 34.

  The communication control unit 24 performs processing for controlling data communication and the like with the information terminal 5 performed via the communication unit 34.

  The display control unit 25 performs a process of collecting the exercise support information acquired by the terminal data acquisition unit 27 and displaying it on the display unit 38.

  Since the process of the sound output control unit 26 is the same as that of the first embodiment, the description thereof is omitted.

2-3. Processing of Exercise Support Information Providing System FIGS. 14 and 15 are diagrams illustrating an example of a flowchart of processing of the exercise support information providing system 1 of the present embodiment.

  FIG. 14 is a diagram illustrating an example of a flowchart of processing performed by the processing unit (CPU) 50 of the information terminal 5.

  As shown in FIG. 14, the processing unit (CPU) 50 of the information terminal 5 waits until a start operation is performed by the user (N in S150). When the start operation is performed (Y in S150), first, the environment Environmental data is received from the measuring device 2 and stored in the storage unit 66 (S152).

  Next, the processing unit (CPU) 50 of the information terminal 5 generates user location information and stores it in the storage unit 66 (S154).

  And the process part (CPU) 50 of the information terminal 5 acquires a user's biometric information from the biometric information sensor 6, and preserve | saves it in the memory | storage part 66 (S156).

  The processing unit (CPU) 50 of the information terminal 5 calculates the degree of fatigue based on the user's biological information (S158).

  Next, the processing unit (CPU) 50 of the information terminal 5 predicts environmental changes around the course from the time series of environmental data up to the present (environment data stored in order in step S152) (S160).

  Then, the processing unit (CPU) 50 of the information terminal 5 reads the terrain data (for example, the state of the road such as distance, undulation, straight line, and curve) of the course on which the user travels, and divides it into areas based on the change and distance ( S162).

  Moreover, the process part (CPU) 50 of the information terminal 5 reads performance data from the memory | storage part 66 (S164). Here, the result data includes a record when the user has exercised along the same exercise path in the past, and may include past biological information, prediction results, and exercise support information.

  The processing unit (CPU) 50 of the information terminal 5 sets each of the boundary points as a pace-up point, a pace-down point, and a pace maintenance point so as to exceed this record by the shortened target time (S166). At this time, past records, biological information, prediction results of the environment prediction unit, exercise support information, and the like may be referred to.

  The processing unit (CPU) 50 of the information terminal 5 determines the time series of the fatigue level up to the present (environmental data stored in order in step S158), the predicted environmental change around the course, and the set pace (pacing) for each boundary point. The fatigue level is simulated from any one of the up point, the pace down point, and the pace maintenance point (S168).

  Then, the processing unit (CPU) 50 of the information terminal 5 confirms that the simulated fatigue level does not reach the limit value at any point (S170). If the fatigue level exceeds the limit value (N in S170), it means that the user cannot continue the competition. Therefore, the shortened target time is adjusted (S172), and the process returns to S166 again. The process returns to S166 to S170.

  If the simulated fatigue level does not reach the limit value at any point (Y in S170), the processing unit (CPU) 50 of the information terminal 5 generates exercise support information (S174). Exercise support information includes all or part of the necessary course information, the set pace of the boundary point where the user will run next, the predicted environmental change, the degree of fatigue, and the necessary biological information in consideration of the user's location information. including. Then, the processing unit (CPU) 50 of the information terminal 5 displays the generated exercise support information on the display unit 70.

  For example, when the processing unit (CPU) 50 of the user information terminal 5 performs the processing of S150 to S174, a screen 100 as shown in FIG. 10 may be displayed on the display unit 70, for example. On the screen 100 in FIG. 10, exercise support information, which is a specific pace change instruction to the user, is written. Therefore, the user can strategically adjust the running pace even when the coach or coach is not nearby.

  In addition, when only the processing unit (CPU) 50 of the director / coach information terminal 5 performs the processing of S150 to S174, a screen 100 as shown in FIG. 11 is displayed on the director / coach information terminal 5, for example. May be. At this time, the manager or coach may give instructions to the players A and B, for example, verbally. That is, when a director or a coach is nearby, the screen 100 as shown in FIG. 10 may not be displayed on the user information terminal 5.

  Even if only the processing unit (CPU) 50 of the information terminal 5 of the director or coach performs the processing of S150 to S174, if the user is away, exercise support from the information terminal 5 of the director or coach The information may be transmitted to the user information terminal 5 via the communication network 3. At this time, for example, a screen 100 as shown in FIG. 10 is displayed on the display unit 70 of the information terminal 5 of the user.

  It should be noted that the process of S166 to S172 of the present embodiment does not instruct an increase in pace that would result in a fatigue level exceeding the limit value, and therefore a strategy that can be actually realized is established. Then, exercise support information corresponding to the current position of the user is displayed based on a strategy from a wide viewpoint that simulates the degree of fatigue to the goal (S174). Therefore, the possibility of improving the recording is higher than when a human gives an instruction (exercise support information) from a narrow viewpoint based on experience.

  Then, the processing unit (CPU) 50 of the information terminal 5 transmits the generated exercise support information to the server 4 (S176).

  The processing unit (CPU) 50 of the information terminal 5 performs a step every time a predetermined time Δt (for example, 1 minute) elapses (N in S178) until an end operation is performed by a user or a director or coach (N in S178) (Step S180 Y). When the processes of S152 to S176 are repeated and an end operation is performed (Y of S178), the process is terminated.

  FIG. 15 is a diagram illustrating an example of a flowchart of processing performed by the processing unit (CPU) 20 of the server 4.

  As shown in FIG. 15, the processing unit (CPU) 20 of the server 4 waits until a start operation is performed by an administrator (for example, a director or a coach) (N in S110), and when the start operation is performed (S110). Y), the terminal ID and the exercise support information are received from the information terminal 5 and stored in the storage unit 30 (S112).

  Next, the processing unit (CPU) 20 of the server 4 aggregates the exercise support information stored in the storage unit 30 in step S112 and displays the list on the display unit 38, for example (S114).

  Then, the processing unit (CPU) 20 of the server 4 repeats the processes of steps S112 and S114 until the end operation is performed by the administrator (N in S116), and when the end operation is performed (Y in S116), The process ends.

  According to the exercise support information providing system of the second embodiment described above, the information terminal 5 uses the environmental data measured by each of the plurality of environmental measurement devices 2 distributed and arranged in the area including the course. By analyzing this in real time, it is possible to accurately capture environmental changes around the course.

  Then, the information terminal 5 calculates the fatigue level from the user's biological information, and simulates the fatigue level to the goal using the time series of the fatigue level, the predicted environmental change, and the set pace for each boundary point. Therefore, based on a highly feasible strategy, it is possible to provide appropriate exercise support information regarding actions (pace distribution, pace change) that the user should take in the future.

  That is, it is possible to realize a telemetry system in which a person other than the user makes a strategy in a race performed by a human, and it is possible to generate information indicating the pace of exercise suitable for the user in consideration of the user's biological information and prediction of environmental changes.

3. Modification [Modification 1]
In the first embodiment, the server 4 and the information terminal 5 in the second embodiment directly communicate with each environment measuring device 2 to acquire environment data. However, the environment measuring devices 2 communicate with each other ad hoc. The environmental data may be collected in one environmental measurement device 2 and the environmental measurement device 2 may transmit the environmental data to the server 4 or the information terminal 5 in a lump.

  In this way, it is possible to reduce the overhead of the server 4 or the information terminal 5 due to the switching of the communication target and improve the communication speed of the environmental data.

[Modification 2]
In the second embodiment, the information terminal 5 communicates with each environmental measurement device 2 to acquire environmental data. However, as in the first embodiment, the server 4 acquires environmental data from each environmental measurement device 2. Then, the information terminal 5 may acquire environmental data from the server 4.

  The above-described embodiments and modifications are merely examples, and the present invention is not limited to these. For example, it is possible to appropriately combine each embodiment and each modification.

  In the above-described embodiment and the like, the user is an athlete who performs an athletic competition. However, the exercise support information providing system may be used for the purpose of knowing the user's fatigue level by a person who is an administrator who is not a person. For example, the user may be a pet such as a dog or a cat, and the owner may use it to grasp the fatigue level of a pet during a walk or exercise. At this time, when the degree of fatigue becomes greater than a predetermined value, an alarm may sound and the owner may notice abnormality. In addition to pets, it can also be applied to animals involved in labor. For example, biological information such as a horse running in a horse race, an elephant performing a show at a circus, a cow working in a farmland, or a camel carrying a person on a sightseeing spot may be acquired.

  The present invention includes configurations that are substantially the same as the configurations described in the embodiments (for example, configurations that have the same functions, methods, and results, or configurations that have the same objects and effects). In addition, the invention includes a configuration in which a non-essential part of the configuration described in the embodiment is replaced. In addition, the present invention includes a configuration that exhibits the same operational effects as the configuration described in the embodiment or a configuration that can achieve the same object. Further, the invention includes a configuration in which a known technique is added to the configuration described in the embodiment.

1 exercise support information provision system, 2 environment measurement device, 3 communication network, 4 server, 5 information terminal, 6, 6a, 6b biological information sensor, 7 user, 10 atmospheric pressure sensor, 11 temperature sensor, 12 humidity sensor, 13 wind direction Wind speed sensor, 14 Rainfall sensor, 15 Air quality sensor, 16 Transmitter, 20 Processing unit (CPU), 21 Environmental data acquisition unit, 22 Environmental prediction unit, 23 Exercise support information generation unit, 24 Communication control unit, 25 Display control Unit, 26 sound output control unit, 27 terminal data acquisition unit, 28 fatigue degree calculation unit, 30 storage unit, 32 recording medium, 34 communication unit, 36 operation unit, 38 display unit, 39 sound output unit, 40 operation unit, 50 Processing unit (CPU) 51 Position information generation unit 52 Communication control unit 53 Display control unit 54 Sound output control unit 60 Biological information receiving unit, 62 GPS data receiving unit, 66 storage unit, 68 recording medium, 70 display unit, 72 sound output unit, 74 communication unit, 80 environmental data acquisition unit, 81 environmental prediction unit, 82 exercise support information generation unit, 83 Fatigue level calculator, 100 screens

Claims (17)

An environment prediction unit that predicts an environmental change of the exercise path using environment information of the exercise path that the user exercises;
Using the prediction result of the biological information and the environment prediction unit of the user to predict a change in the user's biometric information, generating exercise support information for generating the exercise support information is information indicating the pace of the user's movements And
Including an information processing apparatus. The information processing apparatus according to claim 1,
Performance data including at least one of the user's past biological information, the prediction result of the environment prediction unit, and the generated past exercise support information when the user has exercised in the same exercise path in the past. Including a storage unit for storing,
An information processing apparatus in which the performance data is used to generate the exercise support information. The information processing apparatus according to claim 2,
The storage unit
An information processing apparatus that stores a time when the user has exercised in the same exercise path in the past as the performance data. The information processing apparatus according to any one of claims 1 to 3,
Using the user's biometric information, including a fatigue level calculation unit for calculating the fatigue level of the user,
An information processing apparatus that uses the prediction of the change in the degree of fatigue to generate the exercise support information. The information processing apparatus according to claim 4,
The exercise support information generation unit
An information processing apparatus that generates exercise support information that instructs the user to maintain or change an exercise pace. An information processing apparatus according to any one of claims 1 to 5,
An environmental measurement device disposed in a region including the movement path;
Including exercise support information provision system. Predicting an environmental change of the exercise path using environmental information of an exercise path where the user exercises;
Obtaining the user's biometric information;
Using the predicted said user biometric information environmental changes and is the acquisition of the motion path, predicting a change in the user's biological information, the exercise support information is information indicating the pace of the user's movements Generating step;
Including exercise support information. The exercise support information providing method according to claim 7,
Performance data including at least one of the user's past biological information, the prediction result of the environment prediction unit, and the generated past exercise support information when the user has exercised in the same exercise path in the past. Including the step of memorizing,
Wherein the generation of the exercise support information, the actual data is available,
Exercise support information provision method. The exercise support information providing method according to claim 8,
The storing step includes
A method for providing exercise support information, wherein a time when the user has exercised on the same exercise path in the past is also stored as the performance data. The exercise support information providing method according to any one of claims 7 to 9,
Using the user's biometric information to calculate the fatigue level of the user,
The method for providing exercise support information , wherein the generation of the exercise support information uses prediction of the change in the fatigue level . The exercise support information providing method according to claim 10,
The step of generating the exercise support information includes:
An exercise support information providing method for generating exercise support information for instructing the user to maintain or change an exercise pace. Predicting an environmental change of the exercise path using environmental information of an exercise path where the user exercises;
Obtaining the user's biometric information;
Using the predicted said user biometric information environmental changes and is the acquisition of the motion path, predicting a change in the user's biological information, the information indicating the user's suitable exercise pace of exercise support Generating information;
Exercise support information provision program that makes computer execute. The exercise support information providing program according to claim 12,
Performance data including at least one of the user's past biological information, the prediction result of the environment prediction unit, and the generated past exercise support information when the user has exercised in the same exercise path in the past. Including the step of memorizing,
Wherein the generation of the exercise support information, the actual data is available,
Exercise support information provision program. The exercise support information providing program according to claim 13,
The storing step includes
The exercise support information provision program which memorize | stores the time when the said user exercise | moved by the same exercise route in the past as said performance data. The exercise support information providing program according to any one of claims 12 to 14,
Using the user's biometric information to calculate the fatigue level of the user,
For the generation of the exercise support information , prediction of the change in the fatigue level is used ,
Exercise support information provision program. The exercise support information providing program according to claim 15,
The step of generating the exercise support information includes:
An exercise support information providing program for generating exercise support information for instructing the user to maintain or change an exercise pace. A recording medium in which the exercise support information providing program according to any one of claims 12 to 16 is stored.

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