JP2014046151A - Calculation program, portable electronic device, and calculation method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a portable electronic device etc. capable of easily calculating an activity amount of a user carrying a load.SOLUTION: A portable terminal 2 calculates a regression curve based on both a walking pressure value of a user in a state of not carrying a load and activity intensity relating to the time of acquiring the walking pressure value. The portable terminal 2 acquires the walking pressure value of the user in a state of carrying the load, and calculates a ratio of the acquired walking pressure value of the user to the walking pressure value on the regression curve corresponding to the activity intensity at the time of acquiring the walking pressure value. The portable terminal 2 calculates a weight of the load on the basis of the calculated ratio and a weight of the user, and calculates the activity intensity of the user carrying the load, in accordance with the weight of the load. The portable terminal 2 calculates an activity amount corresponding to the weight of the load, on the basis of the activity intensity of the user.

Description

  The present invention relates to a calculation program, a portable electronic device, and a calculation method.

  In the technique of calculating the amount of activity of a user using various sensors, the amount of activity varies depending on whether the user is accompanied by a baggage. Therefore, as a technique for calculating the amount of activity, a portable terminal having a function of calculating the amount of activity in consideration of the weight of the attached baggage and inputting the weight of the attached baggage is widely known.

JP 2011-104139 A

  However, in a conventional mobile terminal having a function for calculating the amount of activity, it is necessary to input in advance the weight of the baggage incidental to the user, so that the input work is troublesome.

  It is an object of the present invention to provide a calculation program, a portable electronic device, and a calculation method that can easily calculate an activity amount of a user accompanying a package.

  The processor of the portable electronic device calculates a regression curve that associates the walking pressure value of the user with no load attached and the activity intensity at the time of obtaining the walking pressure value, and uses the bag with the load attached The walking pressure value of the person is acquired. Further, the processor calculates a ratio between the acquired walking pressure value of the user and the walking pressure value on the regression curve corresponding to the activity intensity at the time of acquiring the walking pressure value, and the calculated ratio and the usage Based on the weight of the person, the weight of the luggage is calculated. Further, the processor calculates the activity intensity of the user accompanying the luggage according to the weight of the luggage.

  In the disclosed aspect, the activity intensity of the user accompanying the luggage can be easily calculated.

FIG. 1 is an explanatory diagram illustrating an example of a mobile terminal in the activity intensity calculation system according to the embodiment. FIG. 2 is an explanatory diagram illustrating an example of the insole according to the embodiment. FIG. 3 is an explanatory diagram illustrating an example of a process configuration in the CPU of the embodiment and an example of a program configuration of the flash memory. FIG. 4 is an explanatory diagram illustrating an example of a table in which measurement times and walking pressure values are stored in association with each other. FIG. 5 is an explanatory diagram illustrating an example of a table in which measurement time zones and average pressure values are stored in association with each other. FIG. 6 is an explanatory diagram showing an example of a table that stores the measurement time zone and the average activity intensity in association with each other. FIG. 7 is an explanatory diagram illustrating an example of a table in which a measurement time zone, an average activity intensity, and an average pressure value are stored in association with each other. FIG. 8 is an explanatory diagram showing an example of a regression curve. FIG. 9 is an explanatory diagram showing an example of a walking speed-activity intensity conversion table. FIG. 10 is an explanatory diagram illustrating an example of a display screen when the mobile terminal is preset. FIG. 11 is a flowchart illustrating an example of the processing operation of the insole CPU related to the insole processing. FIG. 12 is a flowchart illustrating an example of the processing operation of the CPU on the mobile terminal side related to the mobile side processing. FIG. 13 is a flowchart illustrating an example of the processing operation of the CPU on the mobile terminal side involved in the activity amount display processing. FIG. 14 is an explanatory diagram illustrating an example of an activity amount display. FIG. 15 is an explanatory diagram illustrating an example of an activity amount display. FIG. 16 is an explanatory diagram illustrating an information processing apparatus that executes a calculation program.

  Hereinafter, embodiments of a calculation program, a portable electronic device, and a calculation method disclosed in the present application will be described in detail based on the drawings. The disclosed technology is not limited by the present embodiment. Moreover, you may combine suitably each Example shown below in the range which does not cause contradiction.

  FIG. 1 is an explanatory diagram illustrating an example of a mobile terminal in the activity intensity calculation system according to the embodiment. The activity intensity calculation system 1 shown in FIG. 1 includes a portable terminal 2 and an insole 3 that can be attached to and detached from a user's shoes. The portable terminal 2 is a portable electronic device such as a smartphone, for example. The insole 3 measures a walking pressure value applied to the sole of the user during walking, and notifies the portable terminal 2 of the measured walking pressure value. Then, the mobile terminal 2 calculates the activity intensity of the user at the time of luggage attachment based on the walking pressure value of the user acquired from the insole 3, and further calculates the activity amount of the user at the time of luggage attachment based on the activity intensity. calculate.

  1 includes a communication unit 11, a short-range wireless communication unit 12, an accelerometer 13, a clock unit 14, a battery unit 15, an input unit 16, an output unit 17, and a flash memory 18. And a memory 19 and a CPU (Central Processing Unit) 20. The communication unit 11 is a communication interface that controls wireless communication used for voice communication, data communication, and the like. The near field communication unit 12 is an interface that manages near field communication with the insole 3 described above. The accelerometer 13 is a sensor that measures the acceleration value of the mobile terminal 2 itself in, for example, the x-axis, y-axis, and z-axis directions. The clock unit 14 measures the current time. The battery unit 15 supplies power to the mobile terminal 2. The input unit 16 includes operation keys 16A, a touch panel 16B, and a microphone 16C. The operation key 16A is an operation interface for inputting various types of information in response to key operations. The touch panel 16B is an operation interface that inputs various types of information in response to a touch operation. The microphone 16C is an interface that collects sound.

  The output unit 17 includes a display 17A, a speaker 17B, and a vibrator 17C. The display 17A is, for example, an LCD (Liquid Crystal Display) that displays various information on the screen. The speaker 17B acoustically outputs audio information. Vibrator 17C notifies and outputs to the user of portable terminal 2 by vibration operation. The flash memory 18 is a storage area that stores various information, various programs, and the like. The memory 19 is a storage area that stores various types of information. The CPU 20 controls the entire mobile terminal 2. Further, the CPU 20 reads various programs stored in the flash memory 18 and executes various processes as functions based on the read programs.

  FIG. 2 is an explanatory diagram illustrating an example of the insole 3 according to the embodiment. The insole 3 shown in FIG. 2 includes a short-range wireless communication unit 31, a pressure sensor 32, a clock unit 33, a battery unit 34, an output unit 35, a flash memory 36, a memory 37, and a CPU 38. The short-range wireless communication unit 31 is an interface that manages short-range wireless communication with the mobile terminal 2. The pressure sensor 32 measures a walking pressure value applied to the soles of the users during walking every predetermined time. The predetermined time is, for example, 40 milliseconds. The clock unit 33 measures the current time. The battery unit 34 supplies power for the entire insole 3. The output unit 35 includes a display 35A and a speaker 35B. The display 35A is a display unit that displays various information on the screen. The display 35A displays, for example, the remaining battery level of the battery unit 34 on the screen. For example, when it is determined that the remaining battery level of the battery unit 34 is less than a predetermined value, the speaker 35B outputs a notification that the remaining battery level is low. The flash memory 36 is a storage area for storing various programs. The memory 37 is a storage area for storing various information. When the walking pressure value exceeds a predetermined threshold, the pressure sensor 32 determines that the user has started walking and starts the power feeding operation to the entire insole 3 by the battery unit 34.

  The CPU 38 measures the walking pressure value of the user every 40 milliseconds through the pressure sensor 32 and acquires the current measurement time through the clock unit 33. Then, when the walking pressure value and the measurement time are acquired, the CPU 38 notifies the portable terminal 2 of the walking pressure value and the measurement time via the short-range wireless communication unit 31. The user mounts the insole 3 in the shoes he / she will wear. Further, in this embodiment, since the function of measuring the walking pressure value is incorporated in the insole 3 that can be attached to and detached from the shoe, instead of the shoe itself, various shoes can be handled.

  FIG. 3 is an explanatory diagram illustrating an example of a process configuration in the CPU 20 and an example of a program configuration of the flash memory 18 according to the embodiment. The flash memory 18 stores a pressure acquisition program 18A, an activity intensity acquisition program 18B, a regression curve program 18C, a ratio calculation program 18D, a weight calculation program 18E, a corrected activity intensity program 18F, a corrected activity amount program 18G, and the like. is there.

  The CPU 20 reads various programs in the flash memory 18 and executes each process corresponding to the read various programs. The CPU 20 executes a pressure acquisition process 20A according to the pressure acquisition program 18A, an activity intensity acquisition process 20B according to the activity intensity acquisition program 18B, and a regression curve process 20C according to the regression curve program 18C. Further, the CPU 20 executes a ratio calculation process 20D according to the ratio calculation program 18D, a weight calculation process 20E according to the weight calculation program 18E, and a corrected activity intensity process 20F according to the corrected activity intensity program 18F. Further, the CPU 20 executes a corrected activity amount process 20G according to the corrected activity amount program 18G.

  The pressure acquisition process 20A in the CPU 20 sequentially acquires the walking pressure value and measurement time from the insole 3 via the short-range wireless communication unit 12, and stores the acquired walking pressure value and measurement time in the table 41 shown in FIG. To do. FIG. 4 is an explanatory diagram illustrating an example of a table 41 that stores measurement times and walking pressure values in association with each other. The table 41 shown in FIG. 4 stores a walking pressure value 41B for each measurement time 41A that is an interval of 40 milliseconds. The table 41 is stored in the memory 19.

  Further, the pressure acquisition process 20A averages walking pressure values in a measurement time zone for 12 seconds to calculate an average pressure value, and stores the average pressure value and the measurement time zone in a table 42 shown in FIG. FIG. 5 is an explanatory diagram showing an example of the table 42 that stores the measurement time zone and the average pressure value in association with each other. The table 42 shown in FIG. 5 stores an average pressure value 42B in association with each measurement time period 42A. Note that the table 42 shown in FIG. 5 is stored in the memory 19.

  The activity intensity acquisition process 20B in the CPU 20 uses the accelerometer 13 to calculate the activity intensity. The activity intensity acquisition process 20B calculates the activity intensity by the following (Equation 1) based on the acceleration values in the three-axis directions of the x-axis, y-axis, and z-axis measured by the accelerometer 13. Here, “n” is the number of acceleration values sampled per unit time, the triaxial acceleration values xi, yi, zi (i = 0,... N) of each sampling, and the function g is 1 for the activity intensity at rest. It is a function.

  The activity intensity acquisition process 20B sequentially calculates the activity intensity at each measurement time, averages the activity intensity within the measurement time zone for 12 seconds, and calculates the average activity intensity. Then, the activity intensity acquisition process 20B stores the calculated average activity intensity in the table 43 shown in FIG. 6 for each measurement time zone. FIG. 6 is an explanatory diagram showing an example of the table 43 that stores the measurement time zone and the average activity intensity in association with each other. The table 43 shown in FIG. 6 stores the average activity intensity 43B in association with each measurement time zone 43A for 12 seconds. The table 43 shown in FIG. 6 is stored in the memory 19. And CPU20 matches and memorize | stores a measurement time slot | zone, an average activity intensity | strength, and an average pressure value in the table 44 shown in FIG. FIG. 7 is an explanatory diagram showing an example of the table 44 that stores the measurement time zone, the average activity intensity, and the average pressure value in association with each other. The table 44 shown in FIG. 7 stores the average activity intensity 44B and the average pressure value 44C in association with each other for each measurement time zone 44A for 12 seconds.

  The regression curve process 20C in the CPU 20 is based on the least square method in which the average pressure value for each average activity intensity within the regression analysis time is distributed based on the average pressure value and the average activity intensity of the user who is not attached to the luggage. Generate a quadratic regression curve. For example, the regression curve process 20C calculates the slope a of the regression line by the following (Equation 2), as shown by an example of a regression line.

  Further, the regression curve process 20C calculates the regression line intercept b by the following (Equation 3).

  Then, for example, when the average pressure value is Y and the average activity intensity is X, the regression curve process 20C generates a regression line of Y = a × X + b. The regression curve process 20 </ b> C stores the generated regression line in the memory 19. The regression analysis time is set in advance such as 1 hour, 3 hours, etc. FIG. 8 is an explanatory diagram showing an example of a regression curve. The regression curve shown in FIG. 8 (A) is a distribution of walking pressure values of users in a state in which no load is attached in each activity intensity such as walking and running other than upright. In other words, the user's regression curve with no luggage attached is generated and stored in advance.

  When the current walking pressure value and the measurement time are acquired from the insole 3, the ratio calculation process 20D in the CPU 20 averages the walking pressure values in the measurement time zone for 12 seconds through the pressure acquisition process 20A and averages the pressure values. Is calculated. Further, the ratio calculation process 20D calculates the average activity intensity by averaging the activity intensity within the measurement time zone through the activity intensity acquisition process 20B. Then, the ratio calculation process 20D acquires the walking pressure value on the regression curve corresponding to the calculated average activity intensity within the measured time period. The ratio calculation process 20D calculates the ratio between the walking pressure value acquired on the regression curve and the calculated average pressure value within the measurement time zone. The ratio between the walking pressure value obtained on the regression curve and the calculated average pressure value within the measured time zone is the ratio of the weight of the user without luggage and the weight of the user with luggage. Proportional to weight ratio. In the example shown in FIG. 8B, the weight of the user with luggage is 1.2f, which is a 20% increase in the ratio of the walking pressure value f on the regression curve corresponding to the average activity intensity m within the measurement time zone. It will be.

  The weight calculation process 20E in the CPU 20 calculates the weight of the luggage from the weight including the clothes of the user based on the ratio calculated by the ratio calculation process 20D. In addition, the weight calculation process 20E is (weight of luggage) = {(measured walking pressure value) × (body weight + clothing weight) / (walking pressure value on regression curve)} − (body weight + clothing weight) Use to calculate the weight of the package. For example, the preset (body weight + clothing weight) is 70 kg, the measured walking pressure value is 829, the activity intensity is 3 (4 km / h), and the walking pressure value on the regression curve is 738. In this case, the weight of the load is 829 × 70 / 738−70≈9 kg. The weight calculation process 20E identifies the presence / absence of a user's baggage attachment based on the calculated baggage weight.

Then, the corrected activity intensity process 20F in the CPU 20 calculates an activity intensity in consideration of the total weight of the user who attached the luggage. The corrected activity intensity process 20F attaches the luggage based on the oxygen intake V1 with the luggage attached, the oxygen intake V2 with no luggage attached, and the activity intensity L calculated by the accelerometer 13 during the same time period. The activity intensity of the user in the state is calculated. The oxygen uptake V1 with the load attached can be calculated as V1 = 4.1 × Mb + 0.367 (Mb + Mload) × S ² + 2.017 × Ms × S ² . Oxygen intake [ml / kg * min], Mb is body weight including clothes [kg], Mload is weight of luggage [kg], Ms is weight of one shoe [kg], and S is walking speed [km / h]. The oxygen uptake V2 in a state where no supplementary luggage can be calculated by V2 = 4.1 × Mb + 0.367 ( Mb) × S 2. The walking speed S is converted from the activity intensity using a walking speed-activity intensity conversion table of the American Sports Medicine Association. FIG. 9 is an explanatory diagram showing an example of a walking speed-activity intensity conversion table. The conversion table 45 shown in FIG. 9 manages the walking speed 45A and the activity intensity 45B in association with each other. The walking speed 45A is expressed as a distance m per minute. The CPU 20 refers to the conversion table 45 and converts the activity intensity (Mets) in the same time zone into the walking speed. Then, the CPU 20 calculates the walking speed S according to the walking speed. Then, the corrected activity intensity process 20F calculates the activity intensity LE of the user with the package attached based on LE = V1 / V2 × L.

  Then, the corrected activity amount process 20G in the CPU 20 calculates the corrected activity amount [EX] by multiplying the activity intensity LE in consideration of the total weight of the user attached to the luggage with the time h. Then, the corrected activity amount process 20G displays the corrected activity amount on the screen of the display 17A.

  Next, the operation of the activity intensity calculation system 1 of the present embodiment will be described. The user uses the mobile terminal 2 to perform pre-setting of the activity intensity calculation system 1. FIG. 10 is an explanatory diagram illustrating an example of a display screen when the mobile terminal 2 is set in advance. The user designates the presetting on the display screen of FIG. 10A on the display 17A of the mobile terminal 2. The pre-setting is a pre-setting for using the activity intensity calculation system 1. The user inputs the user's own body weight including the weight of clothes and the regression analysis time in the body weight input field 50A and the regression analysis time input field 50B on the display screen shown in FIG. The user confirms the input contents of the weight input field 50A and the regression analysis time input field 50B according to the button operation of the setting button 50C on the display screen shown in FIG. Further, the screen shifts to the previous screen in response to the user operating the cancel button 50D on the display screen. Then, the user can select the device search button 51A or the cancel button 51B on the display screen of FIG. 10C, and executes an automatic connection destination search operation according to the button operation of the device search button 51A. Further, the user cancels the presetting according to the button operation of the cancel button 51B on the display screen.

  Then, the user searches for the wireless address of the insole 3 in response to the button operation of the device search button 51A, and sets the wireless address of the insole 3 searched for in the registered device address field 52A on the display screen of FIG. Automatically enter. Note that before the search, the power source of the insole 3 is turned on so that the search is performed. Then, the user can select the setting button 52B and the cancel button 52C on the display screen, and registers the address of the insole 3 in the registered device address field 52A according to the button operation of the setting button 52B. Then, the user sets the body weight including the weight of the user's own clothes and the regression analysis time, and completes the presetting by registering the registered device address of the insole 3 for wireless communication. Furthermore, after completing the pre-setting, the mobile terminal 2 generates a regression curve on a display screen (not shown), and continuously asks the user to walk for the regression analysis time with no luggage attached. A message to that effect is displayed. When the user visually recognizes the message on the display screen of the mobile terminal 2 and generates a regression curve, the user wears the insole 3 in the shoes he wears and walks continuously for the regression analysis time with no luggage attached. Prepare to do and walk.

  FIG. 11 is a flowchart showing an example of the processing operation of the CPU 38 on the insole 3 side related to the insole side processing. The insole process shown in FIG. 11 is a process of measuring the walking pressure value according to the user's walking and notifying the portable terminal 2 of the measured walking pressure value and measurement time. Note that the user wears the insole 3 in the shoes that he / she will wear. In FIG. 11, the pressure sensor 32 on the insole 3 side determines whether or not the walking pressure value exceeds a predetermined threshold value (step S11). When the walking pressure value exceeds a predetermined threshold value (Yes in step S11), the pressure sensor 32 determines that the user has started walking while wearing the shoes with the insole 3 attached thereto, and turns on the power source of the insole 3 ( Step S12). That is, the CPU 38 starts a power feeding operation from the battery unit 34 to the entire insole 3 when the walking pressure value exceeds a predetermined threshold value. After turning on the power, the CPU 38 establishes an automatic wireless connection with the portable terminal 2 through the short-range wireless communication unit 31 (step S13). CPU38 measures a walking pressure value every 40 milliseconds through the pressure sensor 31 after carrying out automatic wireless connection with the portable terminal 2 (step S14). Furthermore, CPU38 will acquire the measurement time of a walk pressure value through the clock part 33, if a walk pressure value is measured (step S15).

  The CPU 38 notifies the portable terminal 2 of the walking pressure value and the measurement time through the short-range wireless communication unit 31 (step S16). As a result, the portable terminal 2 sequentially acquires a walking pressure value and a measurement time every 40 milliseconds. The CPU 38 determines whether or not the state where the walking pressure value is “0” continues and exceeds the predetermined number of times through the pressure sensor 32 (step S17). The predetermined number is, for example, 20 times. The CPU 38 starts the counting operation when the walking pressure value acquired by the pressure sensor 32 continues “0”, and continues the counting operation when the walking pressure value “0” is acquired. And CPU38 resets the count frequency, when a walking pressure value acquires numerical values other than "0".

  When the state where the walking pressure value is “0” continues and exceeds the predetermined number of times (Yes at Step S17), the CPU 38 determines that the state where the user does not wear shoes continues for a certain period of time, Is disconnected (step S18), and the processing operation shown in FIG. 11 is terminated. As a result, power consumption can be reduced by preventing useless notification of the walking pressure value and measurement time from the insole 3 to the portable terminal 2 when the user is not wearing shoes. Further, when the walking pressure value “0” continues and does not exceed the predetermined number of times (No at Step S17), the CPU 38 determines whether or not the mobile terminal 2 is wirelessly connected (Step S19). . When the CPU 38 is wirelessly connected to the portable terminal 2 (Yes at Step S19), the CPU 38 proceeds to Step S14 in order to measure the walking pressure value every 40 milliseconds. On the other hand, if the CPU 38 is not wirelessly connected to the mobile terminal 2 (No at Step S19), the CPU 38 ends the processing operation shown in FIG.

  When the walking pressure value does not exceed the predetermined threshold (No at Step S11), the CPU 38 ends the processing operation illustrated in FIG.

  CPU38 which performs the insole process shown in FIG. 11 measures the walking pressure value for every 40 milliseconds, and notifies the portable terminal 2 of the walking pressure value and measurement time sequentially. As a result, the portable terminal 2 can sequentially acquire the walking pressure value and the measurement time every 40 milliseconds.

  Furthermore, when the walking pressure value exceeds a predetermined threshold value, the CPU 38 determines that the user has started walking, and turns on the entire insole 3. As a result, the user does not need to turn on the insole 3.

  When the state where the walking pressure value is “0” continues and exceeds a predetermined number of times, the CPU 38 determines that the user's walking has ended or is interrupted, and disconnects the wireless connection with the portable terminal 2. As a result, useless power consumption of the insole 3 when the user's walking is completed or interrupted can be reduced.

  FIG. 12 is a flowchart showing an example of the processing operation of the CPU 20 on the mobile terminal 2 side related to the mobile side processing. The mobile-side process shown in FIG. 12 generates a regression curve based on the walking pressure value acquired from the insole 3 and the activity intensity when no luggage is attached, and the luggage is attached using this regression curve. This is a process of calculating an activity amount based on the activity intensity of the user.

  In FIG. 12, the CPU 20 of the portable terminal 2 turns on the accelerometer 13 (step S21), and acquires the activity intensity. The CPU 20 calculates the activity intensity based on the triaxial acceleration values. After the accelerometer 13 is turned on, the CPU 20 automatically connects to the insole 3 through the short-range wireless communication unit 12 (step S22), and starts a timer operation for the set regression analysis time (step S23). The CPU 20 determines whether or not the walking pressure value and the measurement time have been acquired from the insole 3 through the short-range wireless communication unit 12 (step S24). CPU20 determines whether the walk pressure value for every measurement time slot | zone for 12 seconds was acquired, when a walk pressure value and measurement time are acquired (step S24 affirmation) (step S25). In addition, CPU20 memorize | stores the acquired walking pressure value and measurement time in the table 41 shown in FIG. 4 at the time of the acquisition.

  When the walking pressure value for each measurement time zone for 12 seconds is acquired (Yes at Step S25), the CPU 20 averages the walking pressure value for each measurement time zone for 12 seconds to calculate an average pressure value (Step S26). ). In addition, CPU20 memorize | stores the average pressure value for every measurement time slot | zone in the table 42 shown in FIG. CPU20 calculates average activity intensity | strength based on the activity intensity | strength for every measurement time slot | zone for 12 seconds (step S27). In addition, CPU20 memorize | stores the average activity intensity | strength for every measurement time slot | zone in the table 43 shown in FIG. Furthermore, CPU20 memorize | stores the average pressure value and average activity intensity | strength for every measurement time slot | zone in the table 44 shown in FIG. 7 (step S28).

  The CPU 20 determines whether or not it is within the regression analysis time for which the timer operation is started in step S23 (step S29). In addition, CPU20 acquires the user's walking pressure value and activity intensity | strength for regression analysis time in the state in which the user does not attach a baggage. When it is within the regression analysis time (Yes at Step S29), the CPU 20 waits for a certain time, for example, 20 seconds to determine whether or not the walking pressure value and the measurement time are acquired from the insole 3, and proceeds to Step S24. . On the other hand, when the CPU 20 has not acquired the walking pressure value and the measurement time (No at Step S24), the CPU 20 proceeds to Step S29 in order to determine whether it is within the regression analysis time. On the other hand, when the CPU 20 has not acquired the walking pressure value for the measurement time zone for 12 seconds (No at Step S25), the CPU 20 proceeds to Step S29 to determine whether or not it is within the regression analysis time.

  Further, when it is not within the regression analysis time (No at Step S29), the CPU 20 calculates a regression curve based on the average activity intensity and the average pressure value for the regression analysis time (Step S30). The CPU 20 determines whether or not the insole 3 is wirelessly connected (step S31). If the CPU 20 is wirelessly connected to the insole 3 (Yes at Step S31), the CPU 20 determines whether or not the walking pressure value and the measurement time are acquired from the insole 3 (Step S32). When the CPU 20 acquires the walking pressure value and the measurement time from the insole 3 (Yes in Step S32), the CPU 20 determines whether or not the walking pressure value in the measurement time zone for 12 seconds has been acquired (Step S33). In addition, CPU20 memorize | stores the acquired walking pressure value and measurement time in the table 41 shown in FIG. 4 at the time of the acquisition.

  When acquiring the walking pressure value in the measurement time zone for 12 seconds (Yes at Step S33), the CPU 20 averages the walking pressure value in the measurement time zone for 12 seconds to calculate the average pressure value (Step S34). In addition, CPU20 memorize | stores the average pressure value for every measurement time slot | zone in the table 42 shown in FIG. Further, the CPU 20 calculates the average activity intensity by averaging the activity intensity in the same measurement time zone (step S35). In addition, CPU20 memorize | stores the average activity intensity | strength of a measurement time slot | zone in the table 43 shown in FIG. CPU20 acquires the walking pressure value on the regression curve corresponding to the average activity intensity | strength of the same measurement time slot | zone (step S36). And CPU20 calculates the ratio of the walking pressure value on the acquired regression curve, and the average pressure value of the measurement time slot | zone (step S37). Then, the CPU 20 calculates the weight of the luggage from the body weight including the user's clothes based on the calculated ratio (step S38). As a result, the CPU 20 can calculate the weight of the luggage attached by the user without inputting the weight of the luggage in advance.

  The CPU 20 calculates the activity intensity according to the calculated weight of the luggage (step S39). As a result, the CPU 20 can calculate the activity intensity of the user when the luggage is attached. Further, after calculating the corrected activity amount based on the calculated activity intensity (step S40), the CPU 20 waits for a certain time, for example, 20 msec, to determine whether or not the insole 3 is wirelessly connected. Control goes to step S31. As a result, the CPU 20 can calculate the amount of activity of the user at the time of accompanying luggage.

  If the CPU 20 is not wirelessly connected to the insole 3 (No at Step S31), the CPU 20 ends the processing operation shown in FIG. When the CPU 20 does not acquire the walking pressure value and the measurement time from the insole 3 (No at Step S32), or does not acquire the walking pressure value for 12 seconds (No at Step S33), the CPU 20 is wirelessly connected to the insole 3. In order to determine whether or not, it waits for a fixed time, for example, 20 milliseconds, and proceeds to step S31.

  The CPU 20 of the mobile side processing shown in FIG. 12 calculates the average pressure value and the average activity intensity within the regression analysis time from the insole 3 in a state where the user's luggage is not attached, and the average pressure value within the regression analysis time and Based on the average activity intensity, a regression curve is calculated with no luggage attached. As a result, the CPU 20 can hold the regression curve of the user when no luggage is attached.

  Furthermore, after calculating the regression curve, the CPU 20 calculates the average pressure value and the average activity intensity even when the luggage is attached, and acquires the walking pressure value on the regression curve corresponding to the average activity intensity. Further, the CPU 20 calculates a ratio between the walking pressure value on the acquired regression curve and the calculated average pressure value, and calculates the weight of the luggage from the weight of the user including the clothes based on the calculated ratio. As a result, the CPU 20 can calculate the weight of the user's luggage with the luggage attached.

  The CPU 20 calculates the activity intensity of the user accompanying the luggage according to the weight of the luggage. Further, the CPU 20 calculates the activity level (EX) of the user accompanying the package with the activity intensity (Mets) of the user accompanying the package × the duration (h). As a result, the CPU 20 can calculate the activity intensity and activity amount of the user when the baggage is attached. Moreover, the CPU 20 can also calculate calorie consumption (Kcal) by physical activity (EX) × weight (Kg) × 1.05.

  FIG. 13 is a flowchart illustrating an example of the processing operation of the CPU 20 on the mobile terminal 2 side involved in the activity amount display process. CPU20 by the side of the portable terminal 2 shown in FIG. 13 determines whether the activity amount after correction | amendment was calculated (step S51). When calculating the corrected activity amount (Yes at Step S51), the CPU 20 displays the pre-correction activity amount, the weight of the luggage, the time zone, and the corrected activity amount on the display 17A (Step S52). FIG. 14 is an explanatory diagram illustrating an example of an activity amount display. The activity amount display 60 shown in FIG. 14 includes an activity amount 60A before correction, a weight 60B of luggage, a time zone (date and time) 60C, and an activity amount 60D after correction.

  Furthermore, the CPU 20 determines whether or not there is a screen transition request after displaying the pre-correction activity amount, the weight of the luggage, the time zone, and the corrected activity amount on the display 17A (step S53).

  When there is a screen transition request (Yes at Step S53), the CPU 20 transitions to the requested screen (Step S54) and ends the processing operation shown in FIG. If there is no screen transition request (No at Step S53), the CPU 20 waits for a certain period of time to calculate the corrected activity amount, and proceeds to Step S51.

  When the CPU 20 has not calculated the corrected activity amount (No at Step S51), the CPU 20 proceeds to Step S53 in order to determine whether or not there is a screen transition request.

  The user can visually recognize the activity amount display on the display 17A of the mobile terminal 2 and can recognize the activity amount before correction, the weight of the luggage, the time zone, and the activity amount after correction.

  FIG. 15 is an explanatory diagram illustrating an example of an activity amount display. When there are activity amounts for a plurality of time periods on the same activity amount display, the user designates the designated date 61A on the activity amount display 61 shown in FIG. 15A on the display 17A of the portable terminal 2. When the designated date is designated, as shown in FIG. 15 (B), the CPU 20 determines the amount of activity 62A before correction in the first measurement time period (12: 0 to 13:00), the weight 62B of the luggage, and the time period. An activity amount display 62 including 62C and the corrected activity amount 62D is displayed on the screen of the display 17A. Furthermore, when the CPU 20 visually recognizes the activity amount display 63 in the second (14:00 to 15:00) measurement time zone, the activity amount display 63 in FIG. 15C is displayed according to the button operation of the next page button 62E. Is displayed on the screen. As shown in FIG. 15 (C), the CPU 20 displays an activity amount including the pre-correction activity amount 63A, the luggage weight 63B, the time zone 63C, and the corrected activity amount 63D in the measurement time zone from 14:00 to 15:00. 63 is displayed on the screen. Further, when returning to the activity amount display 62 in the latest measurement time zone, the user operates the previous page button 63E on the activity amount display 63 by button operation.

  The portable terminal 2 according to the embodiment sequentially acquires walking pressure values every 40 msec from the insole 3 with no baggage attached, calculates an average pressure value and an average activity intensity in the measurement time zone, and is constant. A regression curve is generated based on the average pressure value and the average activity intensity during the time period. Furthermore, after generating the regression curve in advance, the mobile terminal 2 sequentially acquires walking pressure values every 40 milliseconds with the luggage attached from the insole 3, and the average pressure value and average activity during the measurement time zone The intensity is calculated, and the walking pressure value on the regression curve corresponding to the average activity intensity is obtained. Then, the mobile terminal 2 calculates a ratio between the walking pressure value acquired on the regression curve and the current walking pressure value, and calculates the weight of the luggage based on the ratio and the weight of the user itself. Furthermore, the mobile terminal 2 calculates the activity intensity of the user who attached the luggage according to the weight of the luggage. As a result, the user can automatically calculate the weight of the baggage without having to input the weight of the baggage, and can easily calculate the activity intensity of the user with the baggage attached.

  In addition, the mobile terminal 2 calculates the amount of activity of the user in the state where the luggage is attached by multiplying the calculated activity intensity of the user by time. As a result, the user can easily calculate the amount of activity of the user with the package attached.

  Since the insole 3 incorporating the pressure sensor 32 and the short-range wireless communication unit 31 is made detachable in the shoe, the user can automatically calculate the weight of the baggage and change the weight of the bag even if the shoe is changed. User activity intensity and activity amount can be easily calculated.

  When the remaining battery level of the battery unit 34 in the insole 3 is equal to or less than a predetermined threshold, the insole 3 according to the embodiment notifies and outputs an alarm indicating that the remaining battery level is low from the speaker 35B. As a result, the user can recognize that the battery level of the battery unit 34 in the insole 3 is low. Note that the speaker 35B is exemplified as the alarm notification output means, but the alarm 35 may be output on the display 35A or the like.

  In each of the above-described embodiments, the mobile terminal 1 such as a smartphone has been illustrated, but for example, a mobile phone, a portable game terminal, a tablet terminal, a mobile terminal that does not have an Internet communication function and a voice communication function, and the like. Also good.

  Moreover, in the said Example, although the walking pressure value was acquired every 40 milliseconds and the average pressure value was computed with the walking pressure value of the measurement time slot | zone for 12 seconds, it is not limited to these numerical values, It changes suitably. Is possible.

  Moreover, in the said Example, although the short-distance wireless communication part 31, the pressure sensor 32, etc. were incorporated in the insole 3 detachably mounted | worn in shoes, you may incorporate in shoes, for example.

  Moreover, in the said Example, although the activity intensity | strength for every measurement time was computed with the accelerometer 13 incorporated in the portable terminal 2, for example, you may incorporate an accelerometer in the insole 3, In this case, the insole 3 You may notify the portable terminal 2 of the walking pressure value and activity intensity for every measurement time.

  Further, in the activity amount display processing of the above embodiment, the activity amount before correction and the activity amount after correction at the time of luggage attachment are displayed on the screen on the display 17A, but only the activity amount after correction at the time of luggage attachment is displayed on the screen. You may do it.

  Moreover, in the portable terminal 2 of the said Example, although calculating the activity intensity | strength and activity amount of the user of the state which attached the luggage | load was illustrated, the activity intensity | strength and activity amount of the user of the state which is not attached to a luggage | load are illustrated. It goes without saying that can be calculated.

  In addition, each component of each part illustrated does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution / integration of each part is not limited to the one shown in the figure, and all or a part thereof may be functionally or physically distributed / integrated in arbitrary units according to various loads and usage conditions. Can be configured.

  Furthermore, various processing functions performed in each device are performed on a CPU (Central Processing Unit) (or a microcomputer such as an MPU (Micro Processing Unit), MCU (Micro Controller Unit), etc.) in whole or in part. You may make it perform. Various processing functions may be executed entirely or arbitrarily on a program that is analyzed and executed by a CPU (or a microcomputer such as an MPU or MCU) or hardware based on wired logic. Needless to say.

  By the way, the various processes described in the present embodiment can be realized by executing a program prepared in advance by the information processing apparatus. Therefore, in the following, an example of an information processing apparatus that executes a program having the same function as in the above embodiment will be described. FIG. 16 is an explanatory diagram illustrating the information processing apparatus 100 that executes a calculation program.

  16 includes a ROM 110, a RAM 120, a processor 130, an operation unit 140, a display unit 150, and a communication unit 160.

  The ROM 110 stores in advance a calculation program that exhibits the same function as in the above embodiment. Note that the calculation program may be recorded on a recording medium that can be read by a drive (not shown) instead of the ROM 110. Further, as the recording medium, for example, a portable recording medium such as a CD-ROM, a DVD disk, a USB memory, an SD card, or a semiconductor memory such as a flash memory may be used. As shown in FIG. 16, the calculation programs are a regression curve calculation program 110A, a ratio calculation program 110B, a weight calculation program 110C, and an activity intensity calculation program 110D. Note that the programs 110A, 110B, 110C, and 110D may be appropriately integrated or distributed.

  Then, the processor 130 reads these programs 110A to 110D from the ROM 110, and executes each of the read programs. Then, the processor 130 functions the programs 110A to 110D as a regression curve calculation process 130A, a ratio calculation process 130B, a weight calculation process 130C, and an activity intensity calculation process 130D.

  The processor 130 calculates a regression curve based on the walking pressure value of the user with no luggage attached and the activity intensity at the time of acquiring the walking pressure value. The processor 130 obtains the walking pressure value of the user with the luggage attached, and the walking pressure on the regression curve corresponding to the obtained walking pressure value of the user and the activity intensity at the time of obtaining the walking pressure value. Calculate the ratio to the value. Further, the processor 130 calculates the weight of the package based on the calculated ratio and the weight of the user. Further, the processor 130 calculates the activity intensity of the user attached to the package according to the calculated weight of the package. As a result, the user can easily calculate the amount of activity of the user who attached the luggage without the trouble of inputting the weight of the luggage.

  As described above, the following supplementary notes are further disclosed regarding the embodiment including the present example.

(Supplementary note 1) In the processor of the portable electronic device,
Calculate a regression curve that correlates the walking pressure value of the user with no luggage attached and the activity intensity at the time of acquiring the walking pressure value,
The user's walking pressure value with the luggage attached is acquired, the acquired walking pressure value of the user, and the walking pressure value on the regression curve corresponding to the activity intensity at the time of acquiring the walking pressure value, The ratio of
Based on the calculated ratio and the weight of the user, calculate the weight of the luggage,
A calculation program for executing each process of calculating an activity intensity of a user attached to the package according to the calculated weight of the package.

(Additional remark 2) The calculation program of Additional remark 1 which makes the said processor perform the process which further calculates the activity amount of the said user based on the said activity intensity and time.

(Supplementary note 3) The supplementary note 1 or 3, wherein the processor further executes a process of acquiring a walking pressure value of the user through a pressure sensor provided in the shoe of the user wirelessly connected to the portable electronic device. 2. The calculation program according to 2.

(Appendix 4) A portable electronic device having a processor,
The processor is
Calculate a regression curve that correlates the walking pressure value of the user with no luggage attached and the activity intensity at the time of acquiring the walking pressure value,
The user's walking pressure value with the luggage attached is acquired, the acquired walking pressure value of the user, and the walking pressure value on the regression curve corresponding to the activity intensity at the time of acquiring the walking pressure value, The ratio of
Based on the calculated ratio and the weight of the user, calculate the weight of the luggage,
A portable electronic device that executes each process of calculating an activity intensity of a user attached to the package according to the calculated weight of the package.

(Appendix 5) A method for calculating a portable electronic device,
The portable electronic device is
Calculate a regression curve that correlates the walking pressure value of the user with no luggage attached and the activity intensity at the time of acquiring the walking pressure value,
The user's walking pressure value with the luggage attached is acquired, the acquired walking pressure value of the user, and the walking pressure value on the regression curve corresponding to the activity intensity at the time of acquiring the walking pressure value, The ratio of
Based on the calculated ratio and the weight of the user, calculate the weight of the luggage,
A calculation method comprising: executing each process of calculating an activity intensity of a user attached to the package according to the calculated weight of the package.

(Appendix 6) An information processing apparatus having a processor and a memory,
The processor is
Calculate a regression curve that correlates the walking pressure value of the user with no luggage attached and the activity intensity at the time of acquiring the walking pressure value,
The user's walking pressure value with the luggage attached is acquired, the acquired walking pressure value of the user, and the walking pressure value on the regression curve corresponding to the activity intensity at the time of acquiring the walking pressure value, The ratio of
Based on the calculated ratio and the weight of the user, calculate the weight of the luggage,
An information processing apparatus that executes each process of calculating an activity intensity of a user attached to the package according to the calculated weight of the package.

(Supplementary note 7) A calculation system having a portable electronic device and a measuring device wirelessly connected to the portable electronic device,
The processor of the measuring device is
Get the user's walking pressure value,
Send the acquired walking pressure value to the portable electronic device,
The processor of the portable electronic device is:
Calculate a regression curve that associates the walking pressure value of the user with no load attached from the measuring device and the activity intensity at the time of acquiring the walking pressure value,
On the regression curve corresponding to the user's walking pressure value and the activity intensity at the time of acquisition of the walking pressure value is acquired from the measuring device with the luggage attached Calculate the ratio with the walking pressure value,
Based on the calculated ratio and the weight of the user, calculate the weight of the luggage,
A calculation system that executes each process of calculating an activity intensity of a user attached to the package according to the calculated weight of the package.

DESCRIPTION OF SYMBOLS 1 Activity intensity calculation system 2 Portable terminal 3 Insole 12 Near field communication part 13 Accelerometer 18 Flash memory 20 CPU
20A Pressure acquisition process 20B Activity intensity acquisition process 20C Regression curve process 20D Ratio calculation process 20E Weight calculation process 20F Corrected activity intensity process 31 Short-range wireless communication unit 32 Pressure sensor 38 CPU

Claims (5)

In the processor of portable electronic devices,
Calculate a regression curve that correlates the walking pressure value of the user with no luggage attached and the activity intensity at the time of acquiring the walking pressure value,
The user's walking pressure value with the luggage attached is acquired, the acquired walking pressure value of the user, and the walking pressure value on the regression curve corresponding to the activity intensity at the time of acquiring the walking pressure value, The ratio of
Based on the calculated ratio and the weight of the user, calculate the weight of the luggage,
A calculation program for executing each process of calculating an activity intensity of a user attached to the package according to the calculated weight of the package. The calculation program according to claim 1, further causing the processor to execute a process of further calculating an activity amount of the user based on the activity intensity and time. 3. The processing according to claim 1, further comprising: causing the processor to execute a process of further acquiring the walking pressure value of the user through a pressure sensor provided in the shoe of the user wirelessly connected to the portable electronic device. Calculation program. A portable electronic device having a processor,
The processor is
Calculate a regression curve that correlates the walking pressure value of the user with no luggage attached and the activity intensity at the time of acquiring the walking pressure value,
The user's walking pressure value with the luggage attached is acquired, the acquired walking pressure value of the user, and the walking pressure value on the regression curve corresponding to the activity intensity at the time of acquiring the walking pressure value, The ratio of
Based on the calculated ratio and the weight of the user, calculate the weight of the luggage,
A portable electronic device that executes each process of calculating an activity intensity of a user attached to the package according to the calculated weight of the package. A calculation method for a portable electronic device,
The portable electronic device is
Calculate a regression curve that correlates the walking pressure value of the user with no luggage attached and the activity intensity at the time of acquiring the walking pressure value,
The user's walking pressure value with the luggage attached is acquired, the acquired walking pressure value of the user, and the walking pressure value on the regression curve corresponding to the activity intensity at the time of acquiring the walking pressure value, The ratio of
Based on the calculated ratio and the weight of the user, calculate the weight of the luggage,
A calculation method comprising: executing each process of calculating an activity intensity of a user attached to the package according to the calculated weight of the package.

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