JP6247956B2 - Exercise support system - Google Patents

Description

  The present invention relates to an exercise support system that presents a user's target exercise amount before exercise.

  As an exercise support system that presents an amount of exercise, there is an “exercise evaluation net system using heart sounds” disclosed in Japanese Patent Application Laid-Open No. 2007-20687 (Patent Document 1). In this motion evaluation network system using heart sounds, a heart sound sensor such as a microphone records a user's heart sound after exercising, and a digital signal of the recorded heart sound is transmitted from the user terminal to the management server via the Internet. Based on user information data such as age and sex, measurement data accumulated and measured in the past, and medically verified scientific data by the measurement data analysis means of the management server The measured measurement data is analyzed, and the obtained exercise load intensity evaluation is transmitted to the user terminal via the Internet.

  However, in the exercise support system that presents the conventional amount of exercise disclosed in Patent Document 1, recording of a heart sound by a heart sound sensor is most desirable because noise hardly enters immediately after exercise by the user. Therefore, there is a problem that it is not suitable for presenting the user's target exercise amount before exercise. In addition, since heart sounds are recorded immediately after exercise, there is a problem that it may become a notification / alarm to the user after physical condition deterioration.

Japanese Patent Laid-Open No. 2007-20689

  Therefore, an object of the present invention is to provide an exercise support system that can correct a target exercise amount to a target exercise amount that matches a user's physical condition before exercise.

In order to solve the above problems, the exercise support system of the present invention provides:
A biological sensor unit that is mounted on a human body and detects biological information;
A target momentum input unit that is operated by a user and receives a target momentum that is a target value of the momentum;
A normal biological information acquisition unit for acquiring normal biological information without exercise;
A storage unit for storing the target exercise amount input from the target exercise amount input unit;
Based on the pre-exercise biometric information detected by the biometric sensor unit before starting the exercise and the normal biometric information acquired by the normal biometric information acquisition unit, before the user's exercise A momentum correction determination unit that determines the physical condition and determines the correction amount of the target exercise amount according to the physical condition before the exercise,
A momentum correction unit that corrects the target momentum stored in the storage unit according to a determination result by the momentum correction determination unit;
A momentum presentation unit that presents the target momentum corrected by the momentum correction unit to the user ;
The exercise amount correction determination unit obtains a displacement rate indicating a rate at which the value of the biological information before the exercise is separated from the value of the normal biological information, and based on the displacement rate, the physical condition of the user before the exercise It is characterized by being able to judge .
The exercise support system of the present invention comprises:
A biological sensor unit that is mounted on a human body and detects biological information;
A target momentum input unit that is operated by a user and receives a target momentum that is a target value of the momentum;
A normal biological information acquisition unit for acquiring normal biological information without exercise;
A storage unit for storing the target exercise amount input from the target exercise amount input unit;
Based on the pre-exercise biometric information detected by the biometric sensor unit before starting the exercise and the normal biometric information acquired by the normal biometric information acquisition unit, before the user's exercise A momentum correction determination unit that determines the physical condition and determines the correction amount of the target exercise amount according to the physical condition before the exercise,
A momentum correction unit that corrects the target momentum stored in the storage unit according to a determination result by the momentum correction determination unit;
A momentum presentation unit for presenting the target momentum corrected by the momentum correction unit to the user;
With
The storage unit stores an exercise amount correction table in which the physical condition rank determined by the exercise amount correction determination unit and the correction amount for the target exercise amount are associated with each other.
The exercise amount correction determination unit is configured to determine a correction amount of the target exercise amount with reference to the exercise amount correction table in accordance with the determined physical condition before exercise.

  As is clear from the above, the exercise support system of the present invention corrects the target exercise amount according to the correction amount of the target exercise amount determined according to the physical condition of the user before exercise, and sets the corrected target exercise amount as described above. It is presented to the user. Therefore, before the exercise, the target exercise amount can be corrected and presented to the exercise amount suitable for the user's physical condition, and the target exercise amount according to the user's physical strength and exercise ability is recommended, and the physical condition by the exercise is recommended. Deterioration can be prevented in advance.

  Furthermore, when the user's physical condition exceeds a predetermined standard, the user can be warned to refrain from exercising.

It is a functional block diagram in the exercise support system of this invention. It is a flowchart of health check processing operation. It is a conceptual diagram of the biometric information memorize | stored in the memory | storage part in FIG. It is a flowchart of pre-exercise diagnosis processing operation. It is a conceptual diagram of the physical condition determination table memorize | stored in the memory | storage part in FIG. It is a figure which shows the display content of the display part in a smart phone.

  Hereinafter, the present invention will be described in detail with reference to the illustrated embodiments.

First Embodiment FIG. 1 is a functional block diagram of an exercise support system according to the present embodiment.

  In FIG. 1, a biological sensor unit 1 is attached to a human body, detects biological information including a pulse, blood pressure, and body temperature, and sends the detected biological information to a general biological information calculation unit 2 and a storage unit 3. The biometric sensor unit 1 is preferably capable of detecting the biometric information by a method that does not bother the user operation, and is composed of, for example, a wristwatch type wearable device. In the case of the wristwatch type biometric sensor unit 1, the biometric information is periodically detected from the time when the user puts it in his / her arm.

  The comprehensive biological information calculation unit 2 calculates the comprehensive biological information based on the measurement value of the biological information sent from the biological sensor unit 1. Here, the comprehensive biological information is one guideline indicating the physical condition of the living body, and is calculated as described in detail later. Further, the comprehensive biological information includes “general biological information before exercise” calculated before exercise and “general biological information for normal time” calculated during normal time without exercise. The biological information is sent to the momentum correction determination unit 4, while the normal biological information is stored in the storage unit 3.

  The exercise amount correction determination unit 4 compares the normal biological information stored in the storage unit 3 with the general biological information before the exercise, and determines whether or not to correct the target exercise amount. Then, the determination result is output to the exercise switching unit 6. The screen input unit 5 includes a touch pad, an electrostatic pad, and the like, and is stacked on the display unit 9 to configure a touch panel. Characters, user instructions, and the like are input from the screen input unit 5, and a target exercise amount is input in the present embodiment. The input target exercise amount is sent to the exercise amount correction determination unit 4 and stored in the storage unit 3. Here, in addition to the “biological information”, the “general general biological information”, and the “target exercise amount”, a “physical condition determination table” created and registered in advance is stored in the storage unit 3. ing.

  The exercise switching unit 6 switches an exercise mode, which will be described in detail later, according to the determination result from the exercise amount correction determination unit 4. Then, the motion mode after switching is sent to the correction control unit 7, the display control unit 8, and the voice control unit 10. The correction control unit 7 corrects the target exercise amount input from the screen input unit 5. Then, the target exercise amount stored in the storage unit 3 is updated with the corrected target exercise amount.

  The display control unit 8 controls screen display by the display unit 9. The display unit 9 is configured by a liquid crystal display, an organic EL (electro-luminescence) display, or the like, and is stacked below the screen input unit 5 to configure the touch panel. The display unit 9 displays a word prompting input from the screen input unit 5, icons, buttons, an exercise mode after switching, and the like.

  The voice control unit 10 controls voice output by the voice output unit 11. The audio output unit 11 includes a speaker or the like, and the exercise mode after switching is output as audio.

  That is, in the present embodiment, the normal biological information acquisition unit is configured by the biological sensor unit 1, the exercise amount correction determination unit is configured by the total biological information calculation unit 2 and the exercise amount correction determination unit 4, and the exercise amount The correction unit is configured by the exercise switching unit 6 and the correction control unit 7, and the exercise amount presentation unit is configured by the display control unit 8 and the display unit 9.

  Here, the comprehensive biological information calculation unit 2, the exercise amount correction determination unit 4, the exercise switching unit 6, the correction control unit 7, the display control unit 8, and the voice control unit 10 are specifically configured by a CPU (Central Processing Unit). Realized.

  Hereinafter, the exercise amount correction processing operation performed by the exercise support system having the above configuration will be described in detail. In this momentum correction processing operation, normal biological information (pulse A, blood pressure B / C (B: systolic blood pressure, C: diastolic blood pressure) and body temperature D ° C.) is detected, and general biometric information P at normal times is detected. Two modes, a “health check mode” that stores information in the storage unit 3 and a “pre-exercise diagnosis mode” that corrects the target exercise amount by comparing the general biometric information at normal times with the general biometric information before exercise have. Further, the case where the exercise is running will be described as an example.

  FIG. 2 is a flowchart of the health check processing operation executed under the control of the CPU. The health check processing operation will be described with reference to FIG. For example, when the “exercise amount correction application” is activated and the “health check mode” is selected, the health check processing operation starts.

  In step S1, the pulse A, the maximum blood pressure B, the minimum blood pressure C, and the body temperature D in the normal state are detected based on the signal from the biosensor unit 1, and are sent to the storage unit 3 and stored therein. Here, as shown in FIG. 3, in the storage unit 3, a set of biological information composed of a pulse A, a systolic blood pressure B, a diastolic blood pressure C, and a body temperature D in a normal state is set to n sets (in FIG. 3, Only 4 groups) are memorized. Therefore, when a new set is stored with n sets already stored, the oldest set is deleted and the latest n sets are stored. In step S2, the display control unit 8 displays the pulse A, the maximum blood pressure B, the minimum blood pressure C, and the body temperature D detected most recently on the display unit 9.

  In step S3, the general biological information calculation unit 2 reads a set of biological information including the normal pulse A, the highest blood pressure B, the lowest blood pressure C, and the body temperature D stored in the storage unit 3, and the normal biological information is calculated. Average values of the pulse A, the maximum blood pressure B, the minimum blood pressure C, and the body temperature D are calculated. Then, the general biological information P in normal time is calculated based on each average value.

Here, the general biological information P in the normal time is calculated by the following equation.
P = α × Aa + β × (Ba + Ca) + γ × Da
Where Aa is the average value of the pulse,
Ba: Average value of systolic blood pressure
Ca: Average value of diastolic blood pressure
Da: Average body temperature
α, β, γ: Weight

  In step S <b> 4, the general biometric information P calculated by the general biometric information calculation unit 2 is stored in the storage unit 3. In step S5, based on the input signal from the screen input unit 5, it is determined whether or not the “health check mode” has been completed. If not finished, the process returns to step S1. On the other hand, when the process is completed, the health check processing operation is completed.

  Thus, when the normal pulse A, maximum blood pressure B, minimum blood pressure C, body temperature D and normal total biological information P are stored in the storage unit 3, the pre-exercise diagnosis processing operation for correcting the target exercise amount is executed. It becomes possible.

  FIG. 4 is a flowchart of the pre-exercise diagnosis processing operation executed under the control of the CPU. The pre-exercise diagnosis processing operation will be described below with reference to FIG. For example, when the “exercise amount correction system application” is activated and the “pre-exercise diagnosis mode” is selected, the pre-exercise diagnosis processing operation starts. In this case, it is assumed that the “health check mode” has already been executed and the “general biological information P in normal times” is stored in the storage unit 3.

  In step S11, the target exercise amount input by the user is acquired based on the input signal from the screen input unit 5. In step S12, the running route R, speed V, and time T are determined based on the target momentum acquired in step S11. In step S13, based on the signal from the biosensor unit 1, the pulse A1, the maximum blood pressure B1, the minimum blood pressure C1, and the body temperature D1 before the exercise are detected and sent to the total biological information calculation unit 2. In step S14, the total biological information calculation unit 2 and the display control unit 8 display the pulse A1, the maximum blood pressure B1, the minimum blood pressure C1, and the body temperature D1 before exercise on the display unit 9.

  In step S15, the comprehensive biological information calculation unit 2 calculates the comprehensive biological information P1 before exercise based on the detected pulse A1, maximum blood pressure B1, minimum blood pressure C1, and body temperature D1 before exercise. .

Here, the general biological information P1 before the exercise is calculated by the following equation.
P1 = α × A1 + β × (B1 + C1) + γ × D1
However, A1: Pulse
B1: High blood pressure
C1: Minimum blood pressure
D1: Body temperature
α, β, γ: Weight

  In step S16, the exercise amount correction determination unit 4 obtains the normal biological information P stored in the storage unit 3 and the calculated general biological information P1 before exercise in step S11. It is determined whether or not to correct the target exercise amount. As a result, if it is corrected, the process proceeds to step S19, and if not corrected, the process proceeds to step S17.

Here, the presence or absence of the correction of the target momentum is determined as follows. First, a displacement rate Q representing the ratio of the general biometric information P1 before exercise away from the normal general biometric information P is calculated by the following equation. When the displacement rate Q is 5% or more, it is determined that the target momentum needs to be corrected.
Q = | P1-P | / P × 100 (%)

  In step S 17, the exercise switching unit 6 and the correction control unit 7 refer to the “physical condition determination table” registered in the storage unit 3, and the exercise mode is switched to the operation mode 1. FIG. 5 shows a configuration example of the “physical condition determination table”. In FIG. 5, the displacement rate Q of the general biometric information P1 before exercise is divided in increments of 5%, and the exercise amounts are “target exercise amount CAL”, “CAL-c1”, “CAL-c2”, “CAL” according to each division. -C3 "(where c1, c2, c3 are positive numbers). Further, in accordance with each set amount of exercise, correction values for the running route R, speed V, and time T determined based on the target amount of exercise CAL in step S12 are set. In this step, since “displacement rate Q <5%”, the mode is switched to motion mode 1 having “route R, speed V, time T” determined to be “target motion amount CAL”. .

  That is, in the present embodiment, the “physical condition determination table” is also used as the “exercise amount correction table”.

  In step S18, the display control unit 8 displays the target exercise amount in the exercise mode 1 on the display unit 9.

  After that, the momentum correction processing operation is terminated.

  In step S19, the momentum correction determination unit 4 determines whether or not the displacement rate Q is within the range of “5 ≦ Q <10”. As a result, if it is within the above range, the process proceeds to step S20. On the other hand, if it is not within the above range, the process proceeds to step S22. In step S 20, the exercise switching unit 6 and the correction control unit 7 refer to the “physical condition determination table” registered in the storage unit 3 and set in advance so that the exercise amount becomes “CAL-c 1”. Further, the movement mode 2 is switched to “route 1, speed (V−v1), time (T−t1)” (where v1 and t1 are positive numbers). In step S <b> 21, the target exercise amount in the exercise mode 2 is displayed on the display unit 9 by the display control unit 8. After that, the momentum correction processing operation is terminated.

  Similarly, if the displacement rate Q is “10 ≦ Q <15”, the mode is switched to the exercise mode 3, and if “15 ≦ Q <20”, the mode is switched to the motion mode 4. If “20 ≦ Q”, the mode is switched to the exercise mode 5 in step S28. In step S29, the display control unit 8 and the display unit 9 display a message “please refrain from exercising”. In addition, the voice control unit 10 and the voice output unit 11 output a warning or warning “Please refrain from exercising”. After that, the momentum correction processing operation is terminated.

  That is, the use expressed in the range of the displacement rate Q based on the values of the pulse A1, the maximum blood pressure B1, the minimum blood pressure C1, and the body temperature D1 before exercise by the comprehensive biological information calculation unit 2 and the exercise amount correction determination unit 4. The physical condition of the person before exercise is determined, and the correction amount (route correction amount, speed correction amount, time correction amount) of the target exercise amount is obtained based on the range of the displacement rate Q which is the determination result.

  FIG. 6 shows display contents of the display unit 9 in the “health check mode” and the “pre-exercise diagnosis mode” when the exercise support system having the above configuration is mounted on a multifunctional mobile terminal device such as a smartphone. FIG. 6A to FIG. 6C show transition of display contents in the “health check mode”. 6 (a), 6 (d) to 6 (j) show changes in display contents in the “pre-exercise diagnosis mode”. For the sake of space, the display screen 9 in FIGS. 6A to 6G is drawn more than the other display screens 9 in FIGS. 6H to 6J.

  When the “exercise amount correction application” is activated, as shown in FIG. 6A, the display unit 9 includes a button 12 for selecting “health check mode” and a button for selecting “pre-exercise diagnosis mode”. A “mode selection screen” having buttons 13 is displayed. When the user presses the button 12 and selects the “health check mode”, as shown in FIG. 6B, it is displayed that the health check is being performed, and as shown in FIG. 6C. The pulse A, the highest blood pressure B, the lowest blood pressure C, and the body temperature D detected in the normal time are displayed on the display unit 9 (step S2 in FIG. 2). Thus, if the biological sensor unit 1 is left attached, the biological information is periodically detected and displayed on the display unit 9. When the user presses the “return to mode selection screen” button 14, the screen returns to the “mode selection screen” shown in FIG.

  Thereafter, when the user selects the “pre-exercise diagnosis mode” by pressing the button 13 on the “mode selection screen” shown in FIG. 6A, as shown in FIG. 15 is set. Then, after the user inputs the target exercise amount, when the “next” button 16 is pressed, as shown in FIG. 6 (e), it is determined in the above step S12 of the pre-exercise diagnosis processing operation shown in FIG. The running route R, speed V and time T based on the target exercise amount are displayed on the display unit 9. Here, when the “MAP” button 17 displayed beside the route R is pressed, a map clearly showing the route R is displayed in a pop-up (not shown).

  Then, when the “Next” button 18 in FIG. 6 (e) is pressed, a health check before exercise is displayed as shown in FIG. 6 (f). As shown in FIG. 4, the detected pulse A1, maximum blood pressure B1, minimum blood pressure C1, and body temperature D1 before exercise are displayed on the display unit 9 (step S14 in FIG. 4). When the user presses the “physical condition determination” button 19, the route, speed, and time corrected according to the switched exercise mode are displayed on the display unit 9.

  Here, when the operation mode is switched to step S17 in FIG. 4, the route R, speed V, and time T in the exercise mode 1 are displayed as shown in FIG. 6 (h). Further, when the mode is switched to the operation mode 2 in step S20 of FIG. 4, as shown in FIG. 6 (i), the route 1, speed (V-v1) and time (T-t1) in the motion mode 2 are set. Is displayed. In addition, when the operation mode is switched to step S28 in FIG. 4, the route, speed, and time are not displayed as shown in FIG. 6 (j), and the message “Please refrain from exercising” is displayed. It is.

  As described above, in the present embodiment, the biosensor unit 1 that is worn on a human body and detects biometric information is included, and the total biometric information calculation unit 2 performs the detection based on the biometric information. “Total biological information”, which is one guideline indicating the physical condition of the living body, is calculated. Here, in the case of the “health check mode”, “general biological information in a normal state” without exercise is calculated. On the other hand, in the “pre-exercise diagnosis mode”, “total biological information before exercise” before exercise is calculated. The “general biological information in normal times” is stored in the storage unit 3.

  Then, before the user exercises, the exercise amount correction determination unit 4 compares the calculated “total biological information before exercise” with the stored “general biological information at normal time”, and A displacement rate Q is calculated. Then, referring to the “physical condition determination table”, a correction value for the target exercise amount that is input and designated in advance by the user is obtained according to the displacement rate Q of the “total biological information before exercise” and displayed on the display unit 9. Like to do.

  Therefore, before the exercise, the target exercise amount can be corrected to the exercise amount that matches the physical condition of the user and presented to the user. Further, when the displacement rate Q exceeds 20%, the user can be warned to refrain from exercising.

  In the above embodiment, exercise is assumed to be running, and the target exercise amount and its correction amount are presented by the running route (distance), speed and time, and their correction amounts. Therefore, it is possible to present the target exercise amount and the correction amount in an easy-to-understand manner with items relating to running that the user is actually going to perform instead of an unclear unit such as “kCal”.

Second Embodiment The configuration of the exercise support system of the present embodiment is the same as the functional block diagram of the first embodiment shown in FIG. The basic operations of the health check processing operation and the pre-exercise diagnosis processing operation executed under the control of the CPU are the same as the flowcharts shown in FIGS. 2 and 4 in the first embodiment. Therefore, in the present embodiment, detailed descriptions regarding the configuration of the exercise support system, the health check processing operation, and the pre-exercise diagnosis processing operation are omitted, and FIGS. 1 to 5 are used in the following description.

  In the exercise support system of the present embodiment, the integrated biological information P calculated in step S3 of the health check processing operation shown in FIG. 2 and the integrated biological information calculated in step S15 of the pre-exercise diagnosis processing operation shown in FIG. The calculation method of the information P1 and the displacement rate Q calculated in step S16 is different from the exercise support system of the first embodiment.

That is, the total biological information P calculated by the health check processing operation is obtained for each piece of biological information stored in the storage unit 3 by the number of the biological information. In other words, overall biometric information P at the time of the normal is made in P _A to P _D, is that obtained by the following equation.
P _A = Aa, P _B = Ba, P _C = Ca, P _D = Da
Where Aa: average value of pulse, Ba: average value of systolic blood pressure,
Ca: Average value of minimum blood pressure, Da: Average value of body temperature

In addition, the total biological information P1 calculated in the pre-exercise diagnosis processing operation is obtained for each of the detected pieces of biological information before the exercise. That is, overall biological information P1 before the motion is made at P1 _A to P1 _D, is that obtained by the following equation.
P1 _A = A1, P1 _B = B1, P1 _C = C1, P1 _D = D1
However, A1: Pulse, B1: High blood pressure
C1: Minimum blood pressure, D1: Body temperature

Furthermore, the displacement rate Q calculated when determining whether or not the target exercise amount is corrected is also obtained by the number of the biological information for each detected biological information before the exercise. That is, the displacement rate Q is composed of Q _{A to} Q _D and is obtained by the following equation.
Q _A = | P 1 _A− P _A | / P _A × 100 (%)
_{Q B = | P1 B -P B} | / P B × 100 (%)
_{Q C = | P1 C -P C} | / P C × 100 (%)
_{Q D = | P1 D -P D} | / P A × 100 (%)

When the displacement rates Q _A, Q _B, QC _{, and} Q _D are all greater than “0” _, the minimum value (%) in each displacement rate Q _A, Q _B, QC _, Q _D Is the displacement rate Q for determining whether or not the target momentum is corrected and for determining the operation mode.

That is, for example,
If Q _A <5%, Q _A <5%, Q _A <5%, Q _A <5%, then Q <5%.
Also,
If 5% ≦ Q _A <10%, Q _A <5%, Q _A <5%, Q _A <5%, then Q <5%.

  Then, according to the displacement rate Q of the “total biological information before exercise” obtained in this way, as in the case of the first embodiment, referring to the “physical condition determination table”, the target exercise amount Determination of the presence / absence of correction and determination and switching of the exercise mode are performed.

As described above, according to this embodiment, the average value Aa~Da of each biometric information during normal as it is a comprehensive biometric information P _A to P _D at normal times, the detection value of each biometric information before exercise A1~ D1 can be obtained as it is as the general biometric information P1 _{A to} P1 _D before exercise. Therefore, it is not necessary to calculate the general biological information P in the normal state and the general biological information P1 before the exercise as in the first embodiment, and it is determined whether or not the target exercise amount is corrected and the exercise mode is determined. Can be easily performed in a short time.

Third Embodiment The configuration of the exercise support system of the present embodiment is the same as the functional block diagram of the first embodiment shown in FIG. The basic operations of the health check processing operation and the pre-exercise diagnosis processing operation executed under the control of the CPU are the same as the flowcharts shown in FIGS. 2 and 4 in the first embodiment. Therefore, in the present embodiment, detailed descriptions regarding the configuration of the exercise support system, the health check processing operation, and the pre-exercise diagnosis processing operation are omitted, and FIGS. 1 to 5 are used in the following description.

  In the exercise support system of the present embodiment, the basic calculation method of the general biometric information P in normal times, the general biometric information P1 before exercise, and the displacement rate Q is the same as that of the exercise support system of the second embodiment. is there.

  However, in the present embodiment, vital information essential for the pre-exercise diagnosis is predetermined for each exercise. When calculating the general biological information P during normal times in the health check processing operation and when calculating the total biological information P1 before exercise in the pre-exercise diagnosis processing operation, the above-described predetermined necessity is required. Essential vital information is used.

For example, when the predetermined indispensable vital information is the pulse A, the highest blood pressure B, and the body temperature D, the normal pulse A, the highest blood pressure B, the lowest blood pressure C, Based on the values of pulse A, A1, maximum blood pressure B, B1, body temperature D, D1 among body temperature D and detected pulse A1, maximum blood pressure B1, minimum blood pressure C1, body temperature D1, Similarly to the case of the exercise support system according to the second embodiment, P _A , P _B and P _D which are the general biological information P in the normal state, and P 1 _A and P 1 _B which are the general biological information P 1 before the exercise. , P1 _D.

Furthermore, the displacement rate Q calculated when determining whether or not the target exercise amount is corrected is the same as the exercise support system of the second embodiment, Q _A and Q _B being the displacement rates Q. , Q _D is obtained.

As in the case of the exercise support system of the second embodiment, when the displacement rates Q _A, Q _{B, and} Q _D are all greater than “0”, the displacement rates Q _A, Q _{B ,} Q _D is the minimum value (%) as the displacement rate Q for determining whether or not the target momentum is corrected and for determining the operation mode.

  As described above, according to the present embodiment, biological information indispensable for the pre-exercise diagnosis is determined in advance for each exercise. Then, the determined indispensable biological information is selected from the biological information stored in the storage unit 3 and the detected biological information before exercise, and the exercise support of the second embodiment is selected. In the same manner as in the case of the system, the general biological information P at normal times in the health check processing operation and the general biological information P1 before exercise in the pre-exercise diagnosis processing operation are obtained. Therefore, the number of biological information to be used is less than in the case of the second embodiment, and it is possible to more easily and quickly determine the presence / absence of correction of the target exercise amount and the determination of the exercise mode. It becomes.

  In each of the above-described embodiments, the “exercise amount correction system application” is started, and the “health check mode” selection button 12 and the “pre-exercise diagnosis mode” selection button as shown in FIG. From the top screen (mode selection screen) provided with the button 13, the health check processing operation is executed when the user presses the button 12, while the pre-exercise diagnosis processing operation is executed when the user presses the button 13. ing.

  However, the present invention is not limited to this, and the “health check application” and the “pre-exercise diagnosis application” are installed independently of each other. When the “health check application” is activated, the health check processing operation shown in FIG. 2 is executed. On the other hand, when the “pre-exercise diagnosis application” is activated, the pre-exercise diagnosis processing operation shown in FIG. You may make it perform.

  Further, “biological information” for obtaining a reference value at the time of the pre-exercise diagnosis processing operation may be acquired from warning reference value data serving as a reference value of biological information stored in the server.

  In the first and second embodiments, the pre-exercise diagnosis has been described by taking the case where the exercise is running as an example. However, it goes without saying that the invention is not limited to running and can be applied to any exercise. Yes.

  In addition, the calculation formulas for the normal biometric information P at normal times and the general biometric information P1 before exercise calculated in the first embodiment are not limited to the above-described formulas. In short, any expression can be used as long as it can calculate a vector value that can serve as a guide for representing the physical condition of the living body.

  Further, in each of the above-described embodiments, the calculation date and time of the normal general biological information P that can be used at the time of the pre-exercise diagnosis is limited to the day before a set period preset from the time of diagnosis. It is desirable because the general biological information P at normal times close to the time can be used. In that case, the calculation date / time of the general biometric information P in normal times is stored, and it is only necessary to determine whether or not the calculation date / time is within the set period based on the stored “date / time”. .

As described above, the exercise support system of the present invention is
A biological sensor unit 1 that is mounted on a human body and detects biological information;
A target momentum input unit 5 that is operated by a user and receives a target momentum that is a target value of the momentum;
A normal biological information acquisition unit for acquiring normal biological information without exercise;
A storage unit 3 for storing the target exercise amount input from the target exercise amount input unit 5;
Based on the biological information before exercise detected by the biological sensor unit 1 before starting the exercise and the normal biological information acquired by the normal biological information acquisition unit, before the user's exercise An exercise amount correction determination unit 2, 4 for determining the correction amount of the target exercise amount according to the physical condition before the exercise,
According to the determination results by the momentum correction determination units 2 and 4, the momentum correction units 6 and 7 for correcting the target exercise amount stored in the storage unit 3;
It is characterized by comprising the momentum presenting sections 8 and 9 for presenting the target momentum corrected by the momentum correcting sections 6 and 7 to the user.

  According to the above configuration, the target exercise amount is corrected according to the correction amount of the target exercise amount determined according to the physical condition of the user before exercise, and the corrected target exercise amount is presented to the user. . Therefore, before the exercise, the target exercise amount can be corrected and presented to the exercise amount suitable for the user's physical condition, and the target exercise amount according to the user's physical strength and exercise ability is recommended, and the physical condition by the exercise is recommended. Deterioration can be prevented in advance.

  Furthermore, when the user's physical condition exceeds a predetermined standard, the user can be warned to refrain from exercising.

In the exercise support system of one embodiment,
The normal biological information acquisition unit is the biological sensor unit 1,
Normal biological information detected by the biological sensor unit 1 is stored in the storage unit 3.
The exercise amount correction determination units 2 and 4 use the normal biological information stored in the storage unit 3 when determining the physical condition of the user before exercise.

  According to this embodiment, since normal biological information is detected by the biological sensor unit 1 of the exercise support system, the normal biological information of the user can be appropriately obtained from the user. Therefore, it is possible to more accurately determine the physical condition of the user before exercise by the exercise amount correction determination units 2 and 4.

In the exercise support system of one embodiment,
The momentum correction determination units 2 and 4 obtain a displacement rate Q that represents a rate at which the value of the biological information before the exercise is away from the value of the normal biological information, and based on the displacement rate Q, the user The physical condition before exercise is to be judged.

  According to this embodiment, the physical condition of the user before exercise can be objectively determined based on the normal biological information.

In the exercise support system of one embodiment,
The momentum correction determination units 2 and 4
Based on the value of the normal biological information, the normal general biological information P, which is one vector value representing the physical condition of the normal biological condition, is obtained, while on the basis of the value of the biological information before the exercise, A total biometric information calculation unit 2 for obtaining total biometric information P1 before exercise, which is one vector value representing the physical condition of the previous biopsy,
The displacement rate Q is obtained from the general biological information P at normal times and the general biological information P1 before exercise.

  According to this embodiment, based on one displacement rate Q obtained from the normal general biological information P that is one vector value and the general biological information P1 before the exercise that is one vector value. Thus, the user's physical condition before exercise is judged. Therefore, the physical condition determination unit 2 and 4 can quickly determine the physical condition of the user before exercise.

In the exercise support system of one embodiment,
The storage unit 3 stores an exercise amount correction table in which the physical condition rank determined by the exercise amount correction determination units 2 and 4 and the correction amount for the target exercise amount are associated with each other.
The exercise amount correction determination units 2 and 4 determine the correction amount of the target exercise amount with reference to the exercise amount correction table according to the determined physical condition before the exercise.

  According to this embodiment, the momentum correction determination units 2 and 4 determine the correction amount of the target exercise amount with reference to the exercise amount correction table, so that the correction amount of the target exercise amount is determined quickly and accurately. be able to.

1 ... biological sensor part,
2 ... Total biological information calculation unit,
3 ... memory part,
4 ... momentum correction determination unit,
5 ... Screen input part,
6 ... movement switching part,
7: Correction control unit,
8: Display control unit,
9: Display unit 10: Audio control unit,
11 ... Audio output unit,
12 ... Button for selecting health check mode,
13 ... Button for selecting pre-exercise diagnosis mode,
14 ... Button for returning to the mode selection screen,
15 ... Target momentum input area,
16, 18 ... Next button,
17 ... MAP button,
19 ... Physical condition judgment button.

Claims (5)

A biological sensor unit that is mounted on a human body and detects biological information;
A target momentum input unit that is operated by a user and receives a target momentum that is a target value of the momentum;
A normal biological information acquisition unit for acquiring normal biological information without exercise;
A storage unit for storing the target exercise amount input from the target exercise amount input unit;
Based on the pre-exercise biometric information detected by the biometric sensor unit before starting the exercise and the normal biometric information acquired by the normal biometric information acquisition unit, before the user's exercise A momentum correction determination unit that determines the physical condition and determines the correction amount of the target exercise amount according to the physical condition before the exercise,
A momentum correction unit that corrects the target momentum stored in the storage unit according to a determination result by the momentum correction determination unit;
A momentum presentation unit that presents the target momentum corrected by the momentum correction unit to the user ;
The exercise amount correction determination unit obtains a displacement rate indicating a rate at which the value of the biological information before the exercise is separated from the value of the normal biological information, and based on the displacement rate, the physical condition of the user before the exercise An exercise support system characterized by being able to judge . The exercise support system according to claim 1,
The normal biological information acquisition unit is the biological sensor unit,
Normal biological information detected by the biological sensor unit is stored in the storage unit,
The exercise amount correction determination unit uses the normal biological information stored in the storage unit when determining the physical condition of the user before exercise. The exercise support system according to claim 1 ,
The momentum correction determination unit is
Based on the value of the normal biological information, the normal general biological information, which is a single vector value representing the physical condition of the normal biological body, is obtained. A general biometric information calculation unit for obtaining general biometric information before exercise, which is one vector value representing the physical condition of the human body,
An exercise support system characterized in that the displacement rate is obtained from the general biological information in the normal state and the general biological information before the exercise. The exercise support system according to any one of claims 1 to 3 ,
The storage unit stores an exercise amount correction table in which the physical condition rank determined by the exercise amount correction determination unit and the correction amount for the target exercise amount are associated with each other.
The exercise support system, wherein the exercise amount correction determination unit determines the correction amount of the target exercise amount with reference to the exercise amount correction table according to the determined physical condition before exercise. A biological sensor unit that is mounted on a human body and detects biological information;
  A target momentum input unit that is operated by a user and receives a target momentum that is a target value of the momentum;
  A normal biological information acquisition unit for acquiring normal biological information without exercise;
  A storage unit for storing the target exercise amount input from the target exercise amount input unit;
  Based on the pre-exercise biometric information detected by the biometric sensor unit before starting the exercise and the normal biometric information acquired by the normal biometric information acquisition unit, before the user's exercise A momentum correction determination unit that determines the physical condition and determines the correction amount of the target exercise amount according to the physical condition before the exercise,
  A momentum correction unit that corrects the target momentum stored in the storage unit according to a determination result by the momentum correction determination unit;
  A momentum presentation unit for presenting the target momentum corrected by the momentum correction unit to the user;
With
The storage unit stores an exercise amount correction table in which the physical condition rank determined by the exercise amount correction determination unit and the correction amount for the target exercise amount are associated with each other.
  The exercise amount correction determination unit determines the correction amount of the target exercise amount with reference to the exercise amount correction table according to the determined physical condition before exercise.
An exercise support system characterized by that.

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