JP2009301286A - Portable equipment, stride correction method, information equipment and stride correction program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To automatically and accurately correct a stride coefficient to be used for calculation of a stride by use of step count information of a user. <P>SOLUTION: A data storage means (data storage part 4) stores a stride coefficient W in association with the step count per unit time (Cm). A coefficient correction means (stride coefficient correction part 10) calculates a step count per unit time by use of the step count for a predetermined period detected by a step count detection means (step count detection part 6), uses this step count to determine a stride coefficient from the data storage means, and uses this stride coefficient as a reference value to correct the stride coefficient in the data storage means according to the step count of the user. By using this corrected coefficient, an accurate stride can be acquired, and the accuracy of calculating walking distance, exercise intensity, calorie consumption, fat burning or the like can be enhanced. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

The present invention relates to correction of a stride used for calculation of walking distance, exercise intensity, calorie consumption, fat burning amount, and the like, and in particular, a portable device that automatically corrects a stride coefficient according to the number of steps per unit time, a stride correction method, and information The present invention relates to a device and a stride correction program.

  The stride when a person walks (including running) is obtained by actually multiplying the height by a coefficient (for example, 0.37) in addition to the actual measurement and the average value thereof. It also depends on the number of wins (walking pitch). Increasing the walking pitch increases the stride. However, if the stride exceeds a predetermined value, the walking state changes and the stride decreases because the increased walking pitch is maintained. Knowing the exact walking distance, exercise intensity, calories burned, etc. is extremely important for the health management of the user, and the step value is required to be accurate for the calculation. A specific stride is used as a reference value, and a stride coefficient is used as information for obtaining a stride according to the number of steps.

  Regarding the measurement of walking distance, Patent Document 1 discloses that the accumulated distance is calculated using the step length and the number of steps, the step length is obtained from the accumulated distance and the number of steps, and this step length is used for the next measurement.

  Regarding the calculation of the stride factor, Patent Document 2 discloses that a stride factor, which is a stride per unit pitch, is calculated from the number of steps and the walking time when walking a specific distance.

Regarding step length measurement, Patent Document 3 discloses that a walking acceleration is detected by an acceleration sensor, a corresponding step length is obtained from the acceleration by a table search, and displayed.
Japanese Patent Laid-Open No. 8-18459 JP 2004-118410 A JP-A-9-152355

  By the way, as described above, the stride differs depending on the number of steps per unit time (walking pitch). However, the fluctuation factor of the user stride has an influence such as a walk time. The calculation result of the walking speed, walking distance, exercise intensity, etc. based on the stride is affected by changes in the stride, so it is required to know the correct stride, and the stride coefficient, which is the basic information for determining the stride, is corrected. is necessary.

  Patent Documents 1 to 3 do not disclose or suggest such requests and problems related to the correction of the stride coefficient, and do not disclose or suggest a configuration or the like that solves it.

  Accordingly, an object of the present invention is to automatically correct an accurate stride coefficient based on the number of steps information of a user, regarding a stride coefficient used for calculating a stride.

Another object of the present invention is to calculate an accurate stride using a step coefficient automatically corrected with respect to a stride coefficient used for calculating a stride.

  In order to achieve the above object, the present invention relates to a portable device for carrying by a user and an information device for calculating exercise information such as walking distance, exercise intensity, calorie consumption, fat combustion amount, etc. Stores the step coefficient in association with the number of steps per unit time, and uses the number of steps for a predetermined period detected by the number of steps detection means, so that the coefficient correction means calculates the number of steps per unit time and uses this number of steps. Then, a stride coefficient is obtained from the data storage means, the stride coefficient of the data storage means is corrected using this stride coefficient as a reference (reference value), and corrected to a stride coefficient according to the number of steps of the user. By using this corrected stride coefficient, it is possible to know the correct stride and to improve the calculation accuracy of the walking distance, exercise intensity, calorie consumption, fat burning amount, and the like.

  Therefore, in order to achieve the above object, the present invention is a portable device, in which a data storage means for storing a step coefficient in association with the number of steps per unit time, a number of steps detecting means for detecting the number of steps, and the number of steps detection The number of steps per unit time is calculated from the number of steps detected by the means, and the step coefficient is obtained from the data storage means using the number of steps, and the step coefficient of the data storage means is calculated using the step coefficient as a reference value. Coefficient correction means for correcting.

  According to such a configuration, the step coefficient associated with the number of steps per unit time stored in the data storage unit based on the calculation of the number of steps per unit time from the number of steps in the predetermined period detected by the number of steps detection unit. Since the step coefficient of the data storage means is corrected using this step coefficient as a reference value, the step coefficient is updated according to the number of steps of the user. As a result, if such a stride coefficient is used, an accurate stride can be obtained, and the calculation accuracy using the stride can be increased, thereby achieving the above object.

  In order to achieve the above object, the portable device includes a stride calculation means for calculating a stride using the step count detected by the step count detection means and the stride coefficient corrected by the coefficient correction means. It is good. The above object can also be achieved by such a configuration.

  In order to achieve the above object, the present invention provides a step correction method for correcting a step by walking, the step of detecting the number of steps per unit time, and the number of steps per unit time based on the number of steps detected by the step count detection. A step number is calculated from the data storage means for storing the step coefficient associated with the number of steps per unit time using the number of steps, and the data storage means uses the step coefficient as a reference value. Correcting the stride factor. The above object can also be achieved by such a configuration.

  In order to achieve the above object, the present invention is an information device for calculating exercise information using a stride, a data storage means for storing a step coefficient in association with the number of steps per unit time, and a number of steps for detecting the number of steps. A step number per unit time is calculated from the number of steps detected by the detection unit and the step number detection unit, a step coefficient is obtained from the data storage unit using the step number, and the data is obtained using the step coefficient as a reference value. Coefficient correction means for correcting the stride coefficient of the storage means. The above object can also be achieved by such a configuration.

In order to achieve the above object, the present invention is a step correction program for correcting a step by walking, and has a function for causing a computer to calculate the number of steps per unit time, and calculates the number of steps per unit time from the number of steps in a predetermined period. A step coefficient is obtained from a data storage means for storing a step coefficient associated with the number of steps per unit time using the step number, and the step coefficient of the data storage means is determined using this step coefficient as a reference value. And a function to correct. The above object can also be achieved by such a configuration.

  According to the present invention, the following effects can be obtained.

  (1) Since the step coefficient for the number of steps is corrected according to the number of steps per unit time for a predetermined period detected by the user's walking, the step coefficient is corrected to the latest state. A stride is required.

(2) Since it is corrected to an accurate stride, it is possible to improve the calculation accuracy of exercise information such as walking distance, exercise intensity, and calorie consumption calculated using such a stride.

Other objects, features, and advantages of the present invention will become clearer with reference to the accompanying drawings and each embodiment.

[First Embodiment]

  The first embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating a functional configuration of the mobile device according to the first embodiment. The configuration shown in FIG. 1 is an example, and the present invention is not limited to such a configuration.

  This portable device 2 has a functional configuration for automatically correcting and notifying a stride, which is reference information used for calculating a human walking speed, walking distance, exercise intensity, calorie consumption, fat burning amount, etc. As shown in FIG. 4, the data storage unit 4, the step count detection unit 6, the stride / height acquisition unit 8, the stride coefficient correction unit 10, the time management unit 12, the corrected stride calculation unit 14, and the notification processing unit 16 It is the structure provided with.

  The data storage unit 4 is an example of a non-volatile data storage unit, and includes a stride factor table 18 (FIG. 2) or a stride factor table 28 (FIG. 3) that stores the relationship between the step count and the stride factor. The stride coefficient tables 18 and 28 store a stride coefficient with respect to the number of steps per unit time. The stride coefficient table 28 is a correction table for the stride coefficient table 18, that is, the stride coefficient table 18 includes a step coefficient before correction. The stride coefficient table 28 stores the corrected stride coefficient.

  The number-of-steps detection unit 6 is a detection unit that detects the number of steps from the user's walk, determines the walk, and detects a preset number of steps per unit time. In this embodiment, the unit time is set to 1 minute. The step detection unit 6 includes, for example, an acceleration sensor capable of detecting an acceleration of two or more axes, converts the output of the acceleration sensor from analog to digital (AD), determines a walk from the digitized output, and determines from the walk A processing unit for detecting the number of steps is provided.

The stride / height acquisition unit 8 is means for acquiring the user's stride S ′ [cm] and height L [cm]. There is a certain relationship between the stride S '[cm] and the height L [cm], and the stride S' [cm] is calculated by multiplying the height L [cm] by a coefficient (= 0.37) as follows. By using the formula:
S ′ = L × 0.37 (1)
Desired.

  The step coefficient correction unit 10 is a correction means for correcting the step coefficient, and includes the step count Cm per unit time, which is an average value of the number of steps for several days, and the step coefficient Wc obtained from the step coefficient table 18 (FIG. 2). Is used as a reference value to correct the stride factor.

In the step coefficient correction by the step coefficient correction unit 10, the number of steps Cn [steps] per unit time, for example, every minute until several days before the correction is held in the form of a histogram, and from the histogram, every minute. The average number of steps Ca [steps] is calculated. The difference value | Ca−Cn | between the step count Cn and the average step count Ca is between ± 0.2 × Ca, that is,
−0.2 × Ca <| Ca—Cn | <+ 0.2 × Ca (2)
The average number of steps Cw [steps] is calculated by using a sample of the number of steps Cn [steps] that satisfies the above. In this case, when the number of samples is n, the walking time is Tw (= n) [min].

Therefore, the average number of steps per minute Cm [steps / min] is
Cm = Cw ÷ Tw (3)
Is calculated from

  By using this average step count Cm [steps / min], the corresponding stride factor W is obtained with reference to the stride factor table 18 (FIG. 2). In this case, when searching for the step coefficient table 18 (FIG. 2) for the number of steps Cm, if there is no corresponding numerical value and it is an intermediate value, the value on the fast walking speed side, that is, the larger numerical value side. The stride coefficient Wc may be applied.

Using this stride factor W as a reference (1.00),
W ′ = Wc ÷ W (4)
The step coefficient Wc is corrected to the step coefficient W ′. For example, when the average number of steps is 103 [steps], the reference value is W = 1.15, and therefore W ′ = Wc / 1.15, the stride factor table 18 (FIG. 2) is corrected to the corrected stride factor table. It is updated to 28 (FIG. 3).

  The time management unit 12 is an example of management means such as date and time, and provides time information necessary for the stride correction of the stride coefficient correction unit 10.

  The corrected stride calculation unit 14 is a stride calculation means that determines the stride coefficient W ′ based on the step length per unit time, for example, the number of steps per minute, and calculates the corrected stride S [cm].

The stride coefficient table 28 (FIG. 3) is referred to for the stride calculation by the corrected stride calculation unit 14. For example, based on the number of steps per minute, the step coefficient W ′ is determined from the closest number of steps in the step coefficient table 28 (FIG. 3). The corrected stride S [cm] is calculated by using the stride coefficient W ′ and the stride S ′ [cm] acquired by the user, that is, the stride / height acquisition unit 6. The stride S ′ [cm] is a value obtained by the equation (1), and the stride S [cm] is a value obtained by correcting the stride S ′ [cm]. This stride S is
S = S '× W' [cm] (5)
It is requested from.

  The notification processing unit 16 is a means for notifying the user of information such as the number of steps, the stride, the height, and the corrected stride. For example, in response to a user instruction, the notification processing unit 16 performs a process of acquiring and notifying a calculation result, and This is performed using a display device such as an LCD (Liquid Crystal Display) display.

  Next, with reference to FIG. 2, FIG. 3, and FIG. 2 is a diagram showing a stride coefficient table, FIG. 3 is a diagram showing a corrected stride coefficient table, and FIG. 4 is a diagram showing stride coefficients before and after correction. The configurations shown in FIGS. 2, 3 and 4 are examples, and the present invention is not limited to such configurations.

  The stride coefficient table 18 records the number of steps per unit time in correspondence with the stride coefficient. As shown in FIG. 2, the stride coefficient [step / min] 20 and the stride coefficient (Wc) 22 are recorded. Stored. The number of steps [steps / min] 20 is the number of steps per minute and corresponds to the walking pitch. The number of steps [steps / min] 20 is “68”, “80”, “91”, “100”, “106”, “110”, “115”, “122”, “126”, “130”, “ For 135, “145”, “170”, the step coefficient (Wc) 22 is “1.00”, “1.02”, “1.05”, “1.09”, “1.15”. , “1.24”, “1.30”, “1.34”, “1.40”, “1.46”, “1.51”, “1.50”, “1.36” . Where the number of steps [steps / min] = “68” to “135”, the step coefficient (Wc) 22 increases from Wc = “1.00” to “1.51” as the number of steps increases, whereas the number of steps [ In step / min] = “145” and “170”, the step coefficient (Wc) 22 decreases to Wc = “1.50” and “1.36” despite the increase in the number of steps. This is because walking has changed from running to running to maintain the walking state. The number of steps [steps / min] 20 is, for example, an average number of steps.

  The corrected stride coefficient table 28 is recorded with the number of steps per unit time and the corrected stride coefficient corresponding to each other. As shown in FIG. 3, the step count [step / min] 20 and the stride coefficient (W ′) 23 is stored. For the number of steps [steps / min] 20, the step coefficient (W ′) 23 is “0.87”, “0.89”, “0.91”, “0.95”, “1.00”, “ 1.08 "," 1.13 "," 1.17 "," 1.22 "," 1.27 "," 1.31 "," 1.30 "," 1.18 ".

  As described above, the step coefficient (W ′) 23 is calculated based on the step coefficient (Wc) = 1.15 when the number of steps [steps / min] = “106”. .

  With respect to the step coefficients Wc and W ′, if the number of steps is taken on the horizontal axis and the step coefficients Wc and W ′ are taken on the vertical axis, the change before and after the correction of the step coefficients is obvious as shown in FIG.

  Next, the average number of steps used for correcting the stride coefficient will be described with reference to FIGS. FIG. 5 is a diagram showing a histogram of the number of steps, and FIG. 6 is a diagram showing a histogram of samples extracted from the histogram. The configurations shown in FIGS. 5 and 6 are examples, and the present invention is not limited to such configurations.

  At a predetermined time on the use start (N + 1) day (N> 0), for example, at AM 0:00, 1 is used as the unit time from the use start (N-9) day to the N day in the stride factor table 18 (FIG. 2). A histogram (FIG. 5) is created for the number of steps Cn [steps] per minute. In this histogram, as shown in FIG. 5, the highest frequency (frequency) is obtained with the number of steps Cn = 100 [steps].

From this histogram (FIG. 5), an average number of steps Ca [steps] per minute is calculated. In this case, Ca = 110 [steps] is obtained, and the number of steps Cn between ± 0.2 × Ca in which the value of | Ca−Cn | is within 20% of a specific range, that is, the average number of steps Ca [steps]. A histogram (FIG. 6) of only the [walk] sample is created. in this case,
± 0.2 × Ca [walk] = ± 22 [walk] (6)
It is. Therefore, in this histogram (FIG. 5), the number of steps satisfying the number of steps Cn [steps] between ± 0.2 × Ca, that is, Ca = 110 [steps], as shown in FIG. Frames with the number of steps Cn = 90, 100, 110, 120, 130 [steps] in the range of Cn <132 are extracted as samples. Using this histogram (FIG. 6), the average number of steps Cw [steps] of the number of steps is calculated. If the number of samples in this case is n [pieces], the walking time is Tw (= n) [min].

  Next, FIG. 7 will be referred to regarding the correction of the stride coefficient and the calculation of the stride. FIG. 7 is a flowchart showing a processing procedure for step coefficient correction and step calculation. The processing shown in FIG. 7 is an example, and the present invention is not limited to such a configuration.

  This processing procedure is an example of a step coefficient correction method or correction program. As shown in FIG. 7, the user's step S '[cm] is acquired (step S101). Therefore, the number of steps Cn [steps] per minute is held in the form of a histogram from one day to several days before (step S102). This histogram is, for example, the histogram shown in FIG.

  The average number of steps Ca [steps] per minute is calculated, and only the sample of the number of steps Cn [steps] with a value of | Ca−Cn | of ± 0.2 × Ca is used, and the average number of steps Cw [steps] is calculated. When the number of samples is n, the walking time is Tw (= n) [min] (step S103). The average number of steps Cm per minute (= Cw ÷ Tw) [steps / min] is calculated (step S104).

  A corresponding stride coefficient (W) is obtained from the average step count Cm [steps / min] and the stride coefficient table 18 (FIG. 2), and if the average step count Cm is an intermediate value of each value, a fast stride coefficient is used ( Step S105). Using this step coefficient (W) as a reference (1.00), the step coefficient is changed as W ′ (FIG. 3) = Wc ÷ W (step S106).

Based on “the number of steps per minute”, the step coefficient (W ′) closest to the number of steps in the step coefficient table 28 (FIG. 3) is determined (step S107). Then, the corrected stride S [cm] is obtained by S ′ [cm] × W ′, where S ′ is the stride [cm] input by the user (step S108).

  By such a processing procedure, an accurate stride can be obtained from the corrected stride coefficient.

  Next, FIG. 8 will be referred to regarding the step coefficient correction processing. FIG. 8 is a flowchart showing a processing procedure for correcting the stride coefficient. The process shown in FIG. 8 is an example, and the present invention is not limited to such a configuration.

  This step coefficient correction processing procedure is an example of a step coefficient correction method or correction program, and is an update processing procedure from the step coefficient table 18 (FIG. 2) to the step coefficient table 28 (FIG. 3). As shown in FIG. 8, in step S201, the default stride coefficient table 18 is used on the first day of use. In step S202, the stride factor table 18 is updated to the stride factor table 28 at AM 0:00 on the second day of use. That is, it is updated using the step count data on the first day of use (histogram of the number of steps Cn [steps] per minute on the first day of use). The time information is acquired from the time management unit 12.

  In step S203, the stride coefficient table is updated at AM 0:00 on the third day of start of use as in step S202. That is, update using step count data from the first day of use to the second day {histogram of steps Cn [steps] per minute from the first day of use to the second day (FIGS. 5 and 6)}. To do.

  In step S204, the stride coefficient table is updated in the same manner as in step S203 at AM 0:00 on the use start (N + 1) day (N ≦ 10). This update is performed using the step count data from the first day of use to the Nth day (histogram of the number of steps Cn [steps] per minute from the first day of use to the Nth day).

  In step S205, the stride coefficient table is updated in the same manner as in step S204 at AM 0:00 on the use start (N + 1) day (N> 10). Update using step count data from the first use day (N-9) to the Nth day (histogram of step counts Cn [steps] per minute from the first use day (N-9) to the Nth day). .

  In this processing procedure, the default stride coefficient table 18 is updated to the corrected stride coefficient table 28, and this stride coefficient table 28 becomes the default in the next process, and is updated to the corrected stride coefficient table. By repeatedly performing the process, the stride coefficient is always updated with high accuracy. Therefore, the histograms (FIGS. 5 and 6) are not fixed values and are constantly updated according to the walking history.

  Next, the update process of the stride coefficient table will be described with reference to FIGS. FIG. 9 is a flowchart showing a processing procedure for updating the stride factor table, FIG. 10 is a diagram showing a stride factor table on the Nth day of use start, and FIG. 11 is a diagram showing a stride factor table on the start of use (N + 1). is there. The configurations of FIGS. 9 to 11 are examples, and the present invention is not limited to such configurations. In the stride factor tables 38 and 48 shown in FIGS. 10 and 11, the same parts as those in FIG. 2 or 3 are denoted by the same reference numerals, the description thereof is omitted, and the data contents are only examples.

  This step coefficient table update processing procedure is an example of a step coefficient correction method or a correction program. As shown in FIG. 9, in step S301, AM0 on the use start day (N + 1) (N> 10): At 00, a histogram (FIG. 5) is created for the number of steps Cn [steps] per minute from the start of use (N-9) to the Nth day.

  In step S302, the average number of steps Ca [steps] per minute is calculated from the histogram created in step S301, and the number of steps Cn [steps] with a value of | Ca−Cn | The average number of steps Cw [steps] is calculated using only the histogram (FIG. 6). When the number of samples is n [pieces], the walking time is Tw (= n) [min].

  In step S303, the average number of steps Cm per minute (= Cw ÷ Tw) [steps / min] is calculated from the average number of steps Cw [steps] obtained in step S302.

  In step S304, the corresponding step coefficient W is obtained from the step count Cm [step / min] and the step coefficient table 38 (FIG. 10) on the Nth day of use, and when Cm is an intermediate value, the fast step coefficient is calculated. Apply.

  In step S305, using the step coefficient W calculated in step S304 as a reference (1.00), the step coefficient in the step coefficient table 38 (FIG. 10) on the Nth day of use is set to W ′ (FIG. 11) = Wc ÷ W. The stride coefficient table 48 (FIG. 11) on the start of use (N + 1) day is newly created. In this case, for example, when the average number of steps Cm is 103 [steps / min], the step coefficient Wc is 1.15, so the step coefficient table 38 is changed to the step coefficient table 48. In this case, the reference value is W = 1.15.

  The characteristic items of the embodiment described above are listed as follows.

  (1) The stride coefficient is automatically corrected, and an accurate stride can be calculated using the corrected stride coefficient.

  (2) The step coefficient table is automatically corrected using the number of steps per unit time (for example, one minute) in the past several days, and the relationship between the number of steps per unit time and the step coefficient can be always properly maintained.

  (3) As the user continues walking, the stride factor in the stride factor table is automatically updated, and the stride factor and stride as the latest data possessed by the user can be corrected.

  (4) The correct stride factor and stride can be corrected, and the stride can be calculated easily and accurately.

[Second Embodiment]

  The second embodiment will be described with reference to FIG. 12, FIG. 13, FIG. 14, and FIG. 12 is a diagram showing a functional configuration of the mobile device according to the second embodiment, FIG. 13 is a diagram showing an exercise intensity calculation table, FIG. 14 is a flowchart showing a processing procedure of walking distance calculation, and FIG. It is a flowchart which shows the process sequence of calorie consumption and exercise amount calculation. The configurations shown in FIGS. 12 to 15 are examples, and the present invention is not limited to such configurations. In FIG. 12, the same parts as those of FIG.

  This mobile device 200 has a functional configuration for automatically correcting and notifying a stride, which is reference information used for calculating a human walking speed, walking distance, exercise intensity, calorie consumption, fat burning amount, and the like. As shown in the figure, the configuration of the portable device 2 of the first embodiment includes an exercise intensity calculation table 30, a walking distance calculation processing unit 32, an exercise intensity calculation unit 34, and a calorie consumption / exercise amount calculation unit 36. This is an added configuration.

  As shown in FIG. 13, the exercise intensity calculation table 30 is a data table of exercise intensity (METs) 42 corresponding to the walking speed [m / min] 40, and the exercise intensity is calculated from the walking speed [m / min] 40. The intensity can be obtained, or the walking speed can be obtained from the exercise intensity.

  The walking distance calculation processing unit 32 is a means for calculating the walking distance from the number of steps and the step length, and in this embodiment, the detected step number of the step number detecting unit 6 and the corrected step length calculated by the corrected step length calculating unit 14 The walking distance is calculated from the above.

  The exercise intensity calculation unit 34 is a means for calculating exercise intensity from the walking speed. In this case, the exercise intensity is calculated according to the walking speed with reference to the exercise intensity calculation table 30 using the walking speed.

The calorie consumption / exercise amount calculation unit 36 calculates the calorie consumption per unit time using the exercise intensity calculated by the exercise intensity calculation unit 34. This calorie consumption [kcal]
Calories burned [kcal] = exercise intensity [METs] x O x body weight [kg] x C x T (7)
It is represented by here,
O: Oxygen consumption at rest (fixed value: for example, 3.5 [ml / (kg · min)]),
C: amount of heat when oxygen 1 [ml] is consumed (fixed value: for example, 0.005 [kcal / ml]),
T: walking time (corresponding to 1 minute unit time),
It is. The body weight [kg] is user input data and is stored in the data storage unit 4.

  All the calories burned in the predetermined time range may be integrated with the calculated calories burned. Data representing this total calorie consumption is stored in the data storage unit 4. If the calorie consumption is stored together with the time information, the transition of the calorie consumption can be known.

In addition, the calorie consumption / exercise amount calculation unit 36 calculates the amount of exercise in addition to the calorie consumption.
The momentum is
Momentum [METs / hour] = Exercise intensity [METs] / 60 (8)
It is represented by In order to calculate the total amount of exercise within a predetermined time range, the amount of exercise may be integrated. The exercise amount may be integrated by adding the exercise amount of the unit time calculated this time to the total exercise amount so far. This total amount of exercise is also stored in the data storage unit 4.

  The other functional units are the same as those in the first embodiment (FIG. 1), and thus the same reference numerals are given and description thereof is omitted.

  Next, FIG. 14 will be referred to regarding the walking distance calculation processing procedure. This processing procedure is an application example of the method for correcting the stride coefficient or the correction program, and is a process of calculating an accurate stride using the corrected stride coefficient described above and calculating a walking distance based on the stride.

  In this processing procedure, as shown in FIG. 14, it is determined whether or not the number of steps acquired within a unit time is greater than 0 (step S401). In this embodiment, if the walk is 1 or more, it is regarded as a walk. Therefore, if the number of steps> 0 (YES in step S401), the step coefficient is obtained (step S402). If the number of steps is not> 0 (NO in step S401), the walking distance calculation process is performed because the user is not walking. finish.

  The step coefficient is acquired by acquiring a step coefficient corresponding to the detected number of steps from the step coefficient table (for example, the step coefficient table 18: FIG. 2) and executing the step correction process (step S403). Since this step correction is as described above, its description is omitted.

Therefore, the walking distance is calculated using the step length (S) and the number of steps per unit time (Cn) (step S404). This walking distance [cm]
Walking distance [cm] = Cn x S (9)
Is required. From this equation (9), the walking distance per unit time (1 minute) is calculated.

  Then, using this walking distance [cm], the walking distance is integrated (step S405). The total walking distance is, for example, a variable for calculating the total walking distance of the day, and the integrated value is displayed on the display unit by the notification processing unit 16.

  Next, FIG. 15 is referred to for the processing procedure of calorie consumption and exercise amount. This processing procedure is a process of calculating an accurate stride using the corrected stride coefficient described above and calculating calorie consumption and exercise amount using the stride.

  This processing procedure is an example of application of a correction method or a correction program for a stride coefficient. As shown in FIG. 15, in steps S501, S502, and S503, processing similar to steps S401, S402, and S403 in the flowchart of FIG. Therefore, the description thereof is omitted.

Therefore, the walking speed is calculated using the number of steps (Cn) and the step length (S) (step S504). This walking speed [m / min]
Walking speed [m / min] = Cn × S ÷ 100 (10)
Is required.

  Exercise intensity (METs) is determined using this walking speed [m / min] (step S505). In determining the exercise intensity, the exercise intensity corresponding to the walking speed [m / min] is obtained with reference to the exercise intensity calculation table 30 (FIG. 13).

  Then, the calorie consumption and the amount of exercise are calculated (step S506). The calorie consumption is obtained from the above-described equation (7), and the momentum is obtained from the above-mentioned equation (8). These calculated values are displayed on the display means by the notification processing unit 16.

[Third Embodiment]

  For the third embodiment, reference is made to FIG. 16, FIG. 17 and FIG. FIG. 16 is a diagram illustrating a hardware configuration of a mobile device according to the third embodiment, FIG. 17 is a diagram illustrating an external configuration of the mobile device in an open state, and FIG. 18 is a diagram of the mobile device in a closed state. It is a figure which shows an external appearance structure. The configurations shown in FIGS. 16 to 18 are examples, and the present invention is not limited to such configurations. In FIG. 16, the same parts as those in FIG.

  The mobile device 300 is an example of a hardware configuration that constitutes the mobile devices 2 and 200 described above, and specifically, configures a mobile terminal device that is an information device. As illustrated in FIG. , A CPU (Central Processing Unit) 302, a storage unit 304, a RAM (Random-Access Memory) 306, an operation input unit 308, a timer 310, a main display unit 312 and a sub display unit 314.

  As described above, the step detection unit 6 may include the acceleration sensor 316 and the AD converter 318, and may include the CPU 302 as a calculation unit. The acceleration sensor 316 is an example of a walking detection unit, and detects acceleration of two or more axes generated by walking, and the step count detection unit 6 detects the number of steps from the detected acceleration. In this case, since the acceleration detected by the acceleration sensor 316 is an analog signal, the AD converter 318 converts the output into a digitized output. If a digital output can be obtained from the acceleration sensor 316, the AD converter 318 is unnecessary.

  The CPU 302 is a processing means that executes an OS (Operating System) in the storage unit 304 and a stride correction program as an application program, a walking distance calculation program using the stride correction program, a calorie consumption calculation program, and the like. In addition, data is exchanged to the storage unit 304 and each functional unit is controlled.

  The storage unit 304 is a storage unit that stores various programs and data, and includes, for example, a recording medium such as a flash memory. In this embodiment, the storage unit 304 includes a program storage unit 320 and a data storage unit 322. The Various programs are stored in the program storage unit 320, and the data storage unit 322 constitutes the data storage unit 4 described above. The RAM 306 is a work area and includes the above-described stride / height acquisition unit 8, stride coefficient correction unit 10, correction stride calculation unit 14, notification processing unit 16 (FIG. 1), walking distance calculation processing unit 32, and exercise intensity calculation. The unit 34, the calorie consumption / exercise amount calculation unit 36 (FIG. 12), and the like are configured.

  The operation input unit 308 is information input means by a user, and includes a keyboard or the like. The timer 310 is a time measuring unit in the time management unit 12. The main display unit 312 and the sub display unit 314 are display means controlled by the CPU 302 and constitute a display output unit of the notification processing unit 16. The main display unit 312 and the sub display unit 314 are configured by an LCD (Liquid Crystal Display), for example.

  As shown in FIG. 17, the portable device 300 includes a fixed-side casing unit 330 and a movable-side casing unit 332 as casings, and the fixed-side casing unit 330 and the movable-side casing unit 332. Are connected by a hinge portion 334 and can be opened and closed. An operation input unit 308 is installed in the stationary housing unit 330 and an acceleration sensor 316 is built in. A main display unit 312 is installed in the movable casing 332. Then, as shown in FIG. 18, a sub display unit 314 is installed on the back side of the movable housing portion 332.

  According to such a configuration, the above-described portable device 2 (FIG. 1) or portable device 200 (FIG. 12) can be realized, and stride correction, accurate walking distance, exercise intensity, calorie consumption, exercise amount, and fat burning amount are calculated. And can be displayed.

[Other Embodiments]

  (1) In the above embodiment, the portable devices 2, 200, and 300 are exemplified as the portable device, the stride correction method, the information device, and the stride correction program. However, the present invention is not limited to the portable information terminal ( It can be applied to devices such as PDA (Personal Digital Assistant) 400 (FIG. 19), health management device 500 (FIG. 20) including a pedometer, and watch 600 (FIG. 21) having a pedometer function. It is not limited to. In PDA 400 (FIG. 19), health care device 500 (FIG. 20), and watch 600 (FIG. 21), the same parts as those in the above embodiment are given the same reference numerals, and the description thereof is omitted.

  (2) In the above embodiment, as shown in FIG. 2, FIG. 3 and FIG. 4, the stride coefficient is corrected in the decreasing direction because the reference value is larger than 1, but if the reference value is less than 1, For example, the correction is made in the increasing direction, and the correction value is not limited to being reduced.

  (3) In the above embodiment, walking distance, exercise intensity, calorie consumption, and exercise amount are exemplified as exercise information, but in addition to fat burning amount, it can be applied to calculation of various exercise information using the number of steps and step length. In addition, the present invention is not limited to the calculation of the exercise information exemplified in the embodiment.

  (4) In the above embodiment, when referring to the stride factor table, if there is no step value corresponding to the input step count, the value on the side with the higher walking speed is applied, but the side with the lower walking speed is applied. The numerical value of may be applied.

  (5) In the above embodiment, the number of steps Cn per unit time is used to calculate the walking distance [cm] and the walking speed [m / min], but the average number of steps Cm may be used. It is not limited to the calculation of.

  Next, technical ideas extracted from the embodiments of the present invention described above are listed as appendices according to the description format of the claims. The technical idea according to the present invention can be grasped by various levels and variations from a superordinate concept to a subordinate concept, and the present invention is not limited to the following supplementary notes.

(Supplementary Note 1) Data storage means for storing a step coefficient in association with the number of steps per unit time;
Step detection means for detecting the number of steps;
The number of steps per unit time is calculated from the number of steps in the predetermined period detected by the number of steps detecting means, and the step coefficient is obtained from the data storage means using the number of steps, and the step number is used as the reference value for the step of the data storage means. Coefficient correction means for correcting the stride coefficient;
A portable device characterized by including:

(Appendix 2) In the mobile device of Appendix 1,
A portable device comprising stride calculation means for calculating a stride using the number of steps detected by the step count detection means and the stride coefficient corrected by the coefficient correction means.

(Appendix 3) In the mobile device of Appendix 1,
A portable device, wherein a step is calculated using the number of steps detected by the step detection unit and the step coefficient corrected by the coefficient correction unit, and user exercise information is calculated using the step. .

(Appendix 4) In the mobile device of Appendix 3,
The exercise information includes any one of walking distance, walking speed, exercise intensity, and calorie consumption.

(Supplementary Note 5) A step correction method for correcting a step by walking,
Detecting steps per unit time;
Calculating the number of steps per unit time from the number of steps in a predetermined period detected by the number of steps detection;
Obtaining a step coefficient from a data storage unit that stores a step coefficient associated with the number of steps per unit time using the step number, and correcting the step coefficient of the data storage unit using the step coefficient as a reference value; ,
A stride correction method characterized by comprising:

(Appendix 6) In the step correction method of Appendix 5,
A step correction method comprising the step of calculating a step using the number of steps detected by the step detection and the corrected step coefficient.

(Appendix 7) In the step correction method of Appendix 5,
In response to the start of walking, generating a histogram of the number of steps Cn per unit time in a predetermined period before the start;
Calculating an average step count Ca per unit time, sampling a frequent step count Cn from the histogram of | Ca-Cn |, and calculating the average step count Cw;
Calculating an average number of steps Cm per unit time using the walking time Tw and the average number of steps Cw;
Obtaining a step coefficient W from the step coefficient table storing a step coefficient with respect to the number of steps by the average step count Cm;
Changing each stride factor in the stride factor table using the stride factor W as a reference value, and correcting the stride factor table;
A step correction method comprising the steps of:

(Appendix 8) An information device that calculates exercise information using a stride,
Data storage means for storing the step coefficient in association with the number of steps per unit time;
Step detection means for detecting the number of steps;
The number of steps per unit time is calculated from the number of steps in the predetermined period detected by the number of steps detecting means, and the step coefficient is obtained from the data storage means using the number of steps, and the step number is used as the reference value for the step of the data storage means. Coefficient correction means for correcting the stride coefficient;
Information equipment characterized by including.

(Supplementary note 9) In the information equipment of Supplementary note 8,
An information device comprising: a stride calculation means for calculating a stride using the number of steps detected by the step count detection means and the stride coefficient corrected by the coefficient correction means.

(Supplementary Note 10) In the information equipment of Supplementary Note 8,
An information device, wherein a step is calculated using the number of steps detected by the step detection unit and the step coefficient corrected by the coefficient correction unit, and user exercise information is calculated using the step. .

(Additional remark 11) In the information equipment of Additional remark 10,
The exercise information includes any of walking distance, walking speed, exercise intensity, and calorie consumption.

(Supplementary note 12) A step correction program for correcting a step by walking,
A function that allows a computer to calculate the number of steps per unit time;
A function for calculating the number of steps per unit time from the number of steps in a predetermined period;
A function of obtaining a stride coefficient from a data storage means for storing a stride coefficient associated with the number of steps per unit time using the step count, and correcting the stride coefficient of the data storage means using the stride coefficient as a reference value; ,
A stride correction program characterized by realizing the above.

(Supplementary note 13) In the stride correction program of Supplementary note 12,
A step correction program including a function of calculating a step by using the number of steps in a predetermined period and the corrected step coefficient.

(Supplementary Note 14) In the stride correction program of Supplementary Note 12,
A function of generating a histogram of the number of steps Cn per unit time in a predetermined period before the start of walking,
A function of calculating an average step count Cw per unit time, sampling a frequent step count Cn from the histogram of | Ca-Cn |, and calculating the average step count Cw;
A function of calculating an average number of steps Cm per unit time using the walking time Tw and the average number of steps Cw;
A function for obtaining a stride factor W from the stride factor table storing a stride factor with respect to the step counts based on the average step count Cm;
A function of correcting each step coefficient table by changing each step coefficient in the step coefficient table using the step coefficient W as a reference value;
A stride correction program characterized by comprising:

As described above, the most preferable embodiment and the like of the present invention have been described. However, the present invention is not limited to the above description, and is described in the claims or the best for carrying out the invention. It goes without saying that various modifications and changes can be made by those skilled in the art based on the gist of the invention disclosed in the embodiments, and such modifications and changes are included in the scope of the present invention.

The present invention relates to correction of a stride used for calculating a walking distance, exercise intensity, calorie consumption, fat burning amount, etc., and a step coefficient for the number of steps is determined according to the number of steps per unit time for a predetermined period detected by a user's walk. Because the correction is made, the stride coefficient is corrected to the latest state, and if this stride coefficient is used, an accurate stride is obtained, and it is widely applied to portable devices, information devices, etc. that use the stride as calculation information to increase calculation accuracy. Can be useful.

It is a figure which shows the function structure of the portable apparatus which concerns on 1st Embodiment. It is a figure which shows a stride coefficient table. It is a figure which shows the stride coefficient table after correction | amendment. It is a figure which shows the stride coefficient before and behind correction | amendment. It is a figure which shows the histogram of the step count. It is a figure which shows the histogram of the sample extracted from the histogram of FIG. It is a flowchart which shows the process sequence of step coefficient correction | amendment and step calculation. It is a flowchart which shows the process sequence of step coefficient correction | amendment. It is a flowchart which shows the process sequence of a stride coefficient table update. It is a figure which shows the stride coefficient table of the Nth use start. It is a figure which shows the stride coefficient table of use start (N + 1) day. It is a figure which shows the function structure of the portable apparatus which concerns on 2nd Embodiment. It is a figure which shows an exercise intensity calculation table. It is a flowchart which shows the process sequence of walking distance calculation. It is a flowchart which shows the process sequence of calorie consumption and exercise amount calculation. It is a figure which shows the hardware constitutions of the portable apparatus which concerns on 3rd Embodiment. It is a figure which shows the external appearance structure of the portable apparatus in an open state. It is a figure which shows the external appearance structure of the portable apparatus in a closed state. It is a figure which shows PDA which concerns on other embodiment. It is a figure which shows the health care apparatus which concerns on other embodiment. It is a figure which shows the timepiece which concerns on other embodiment.

Explanation of symbols

2 portable device 4 data storage unit 6 step detection unit 8 step / height acquisition unit 10 step coefficient correction unit 12 time management unit 14 correction step calculation unit 16 notification processing unit 18, 28, 38, 48 step coefficient table 20 step [step / min]
22 Stride coefficient (Wc)
23 Stride coefficient (W ')
30 Exercise intensity calculation table 32 Walking distance calculation processing unit 34 Exercise intensity calculation unit 36 Calorie consumption / exercise amount calculation unit

Claims (5)

Data storage means for storing the step coefficient in association with the number of steps per unit time;
Step detection means for detecting the number of steps;
The number of steps per unit time is calculated from the number of steps in the predetermined period detected by the number of steps detecting means, and the step coefficient is obtained from the data storage means using the number of steps, and the step number is used as the reference value for the step of the data storage means. Coefficient correction means for correcting the stride coefficient;
A portable device characterized by including:
The mobile device according to claim 1, wherein
A portable device comprising stride calculation means for calculating a stride using the number of steps detected by the step count detection means and the stride coefficient corrected by the coefficient correction means.
A step correction method for correcting a step by walking,
Detecting steps per unit time;
Calculating the number of steps per unit time from the number of steps in a predetermined period detected by the number of steps detection;
Obtaining a step coefficient from a data storage unit that stores a step coefficient associated with the number of steps per unit time using the step number, and correcting the step coefficient of the data storage unit using the step coefficient as a reference value; ,
A step correction method comprising the steps of:
An information device that calculates exercise information using stride,
Data storage means for storing the step coefficient in association with the number of steps per unit time;
Step detection means for detecting the number of steps;
The number of steps per unit time is calculated from the number of steps in the predetermined period detected by the number of steps detecting means, and the step coefficient is obtained from the data storage means using the number of steps, and the step number is used as the reference value for the step of the data storage means. Coefficient correction means for correcting the stride coefficient;
Information equipment characterized by including.
A step correction program for correcting a step by walking,
A function that allows a computer to calculate the number of steps per unit time;
A function for calculating the number of steps per unit time from the number of steps in a predetermined period;
A function of obtaining a stride coefficient from a data storage means for storing a stride coefficient associated with the number of steps per unit time using the step count, and correcting the stride coefficient of the data storage means using the stride coefficient as a reference value; ,
A stride correction program characterized by realizing the above.

Images