JP2007024580A - Motion data display controller, mobile type equipment and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide correct motion data to a user even in the case the positional data cannot be acquired. <P>SOLUTION: In the case, the motional data display controller discriminates that the positional data is acquired while the user is moving, calculates the present motion data from the positional data (A7 to A13, and A15), but in the case of discrimination that not acquired, calculates and stores the conversion data for converting from vibration data into the motion data from the calculated motion data (A7 to A 19), between the time point of discrimination that not acquired and the time point discriminated that acquired, converts and estimates from the detected vibration to the present motional data (A7 to A29, and A31), and while discriminated that acquired, displays and controls the calculated motional data as the latest motional data, and between the time point discriminated that not acquired and the time point discriminated that acquired, displays and controls the estimated motional data as the latest motional data (A21 to A23). <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to an exercise data display control device including a display unit on which exercise data during exercise of a user is displayed.

  Conventionally, wristwatches worn by users such as long-distance runners as a type of portable device equipped with an exercise data display control device, and exercise data (for example, travel distance and travel speed) that are information related to the user's travel Etc.) is calculated and displayed.

Such a wristwatch acquires position data indicating the current position of the user for each unit time by a position measurement system (GPS: Global Positioning System) using GPS satellites, and calculates exercise data based on the acquired position data. (For example, Patent Document 1).
Japanese Patent Laid-Open No. 10-39059

  By the way, a wristwatch as disclosed in Patent Document 1 can acquire position data when a signal (radio wave) from a GPS satellite can be received, but the sky is shielded by a building or a tree, and the GPS satellite. The position data could not be acquired when the signal (radio wave) could not be received.

  As long as the configuration is such that the motion data is calculated based on the position data, there is a problem that if the position data cannot be acquired, accurate motion data cannot be provided to the user.

  The present invention has been made in view of such problems, and an object thereof is to provide accurate motion data to a user even when position data cannot be acquired.

In order to solve the above problems, the exercise data display control device according to claim 1 is:
In an exercise data display control device (for example, the wristwatch 1 in FIG. 1) including a display unit (for example, the display unit 40 in FIG. 2) on which exercise data during the user's exercise is displayed.
Vibration detecting means for detecting vibration (for example, vibration detecting unit 60 in FIG. 2);
Position data acquisition means (for example, the GPS receiver 50 in FIG. 2) for acquiring position data indicating the current position;
Position data acquisition determination means (for example, CPU 20 in FIG. 2; step A7 in FIG. 7) for determining whether or not position data has been acquired by the position data acquisition means;
When it is determined that the position data has been acquired by the position data acquisition determination means, the exercise data calculation means (for example, FIG. 2) calculates current exercise data based on the position data acquired by the position data acquisition means. CPU 20; step A7 in FIG. 7; No → A13, A15),
When the position data acquisition determining means determines that position data has not been acquired, conversion data for converting motion data from vibration data indicating vibration detected by the vibration detecting means is converted by the vibration detecting means. Conversion calculated and stored when it is determined that the position data has been acquired by the position data acquisition determination unit based on the vibration data indicating the detected vibration and the movement data calculated by the movement data calculation unit Data storage means (for example, CPU 20 in FIG. 2; step A7 in FIG. 7; No → A19, RAM 80 in FIG. 2; first speed vibration conversion data storage area 817 in FIG. 3B);
The vibration detection based on the conversion data stored by the conversion data storage means from the time when the position data acquisition determination means determines that the position data has not been acquired until it is determined that the position data has been acquired. Motion data estimation means (for example, CPU 20 in FIG. 2; step A7 in FIG. 7; Yes → A29, A31) for converting and estimating current motion data from the vibration detected by the means;
While it is determined that the position data has been acquired by the position data acquisition determining means, the exercise data calculated by the exercise data calculating means is controlled to be displayed on the display unit as the latest exercise data, and the position data From the time when it is determined that the position data is not acquired by the acquisition determining means until the position data is determined to be acquired, the exercise data estimated by the exercise data estimating means is displayed as the latest exercise data. Exercise data display control means (for example, CPU 20 in FIG. 2; steps A21 and A23 in FIG. 7) for performing control to be displayed on the unit;
It is characterized by having.

Invention of Claim 2 is the exercise | movement data display control apparatus of Claim 1, Comprising:
The conversion data storage means converts conversion data for converting movement data from vibration time intervals based on vibration data indicating vibration detected by the vibration detection means and movement data calculated by the movement data calculation means. Means for calculating and storing (for example, CPU 20 in FIG. 2; step A7 in FIG. 7; No → A19, RAM 80 in FIG. 2; first velocity vibration conversion data storage area 817 in FIG. 3B);
The motion data estimation means is means for converting and estimating current motion data from the vibration time interval detected by the vibration detection means based on the conversion data stored in the conversion data storage means (for example, FIG. 2 CPU 20; step A7 in FIG. 7; Yes → A29, A31).
It is characterized by that.

Invention of Claim 3 is the exercise | movement data display control apparatus of Claim 1, Comprising:
The conversion data storage means converts motion data from the number of vibrations per unit time based on vibration data indicating vibration detected by the vibration detection means and motion data calculated by the motion data calculation means. Means for calculating and storing conversion data (for example, CPU 20 in FIG. 2; step A7 in FIG. 7; No → A19, RAM 80 in FIG. 2; first speed vibration conversion data storage area 817 in FIG. 3B). ,
The motion data estimation means converts and estimates current motion data from the number of vibrations per unit time detected by the vibration detection means based on the conversion data stored in the conversion data storage means ( For example, the CPU 20 in FIG. 2; step A7 in FIG. 7; Yes → A29, A31).
It is characterized by that.

Invention of Claim 4 is the exercise | movement data display control apparatus of Claim 3, Comprising:
Step number display control means (for example, the CPU 20 in FIG. 2; H30 in the display screen W30 in FIG. 11) that controls to display the number of vibrations detected by the vibration detection means as the number of steps is further provided.

Invention of Claim 5 is an exercise | movement data display control apparatus as described in any one of Claims 1-4,
The movement data calculation means is a distance calculation means for calculating a movement distance as the movement data based on the position data acquired by the position data acquisition means (for example, CPU 20 in FIG. 2; step A7 in FIG. 7; No → A13 )
The conversion data storage means calculates distance conversion data for converting a movement distance from vibration data based on vibration data indicating the vibration detected by the vibration detection means and the movement distance calculated by the distance calculation means. Distance conversion data storage means (for example, CPU 20 in FIG. 2; step A7 in FIG. 7; No → A19, RAM 80 in FIG. 2; first speed vibration conversion data storage area 817 in FIG. 3B). ,
The movement data estimation means is a distance estimation means for converting and estimating a current movement distance from vibration data of vibration detected by the vibration detection means based on the distance conversion data stored by the distance conversion data storage means ( For example, the CPU 20 in FIG. 2; step A7 in FIG. 7; Yes → A31)
The movement data display control means performs control to display the movement distance calculated by the distance calculation means as the latest movement distance while it is determined that the position data has been acquired by the position data acquisition determination means, From the time when it is determined that the position data is not acquired by the position data acquisition determining means until the position data is determined to be acquired, the moving distance estimated by the distance estimating means is set as the latest moving distance. Control to display (for example, CPU 20 in FIG. 2; step A21 in FIG. 7),
It is characterized by that.

Invention of Claim 6 is an exercise | movement data display control apparatus as described in any one of Claims 1-5,
The movement data calculation means is a speed calculation means for calculating a movement speed as the movement data based on the position data acquired by the position data acquisition means (for example, CPU 20 in FIG. 2; step A7 in FIG. 7; No → A15 )
The conversion data storage means calculates speed conversion data for converting the movement speed from the vibration data based on vibration data indicating the vibration detected by the vibration detection means and the movement speed calculated by the speed calculation means. 2 (for example, CPU 20 in FIG. 2; step A7 in FIG. 7; No → A19, RAM 80 in FIG. 2; first speed vibration conversion data storage area 817 in FIG. 3B). ,
The motion data estimation means is a speed estimation means for converting and estimating a current moving speed from vibration data of the vibration detected by the vibration detection means based on the speed conversion data stored in the speed conversion data storage means. For example, the CPU 20 in FIG. 2; step A7 in FIG. 7; Yes → A29)
The movement data display control means performs control to display the movement speed calculated by the speed calculation means as the latest movement speed while it is determined that the position data has been acquired by the position data acquisition determination means, From the time when it is determined that the position data is not acquired by the position data acquisition determining means to the time when it is determined that the position data is acquired, the moving speed estimated by the speed estimating means is set as the latest moving speed. Control to display (for example, CPU 20 in FIG. 2; step A21 in FIG. 7),
It is characterized by that.

  A seventh aspect of the present invention is a portable type comprising the movement data display control device according to any one of the first to sixth aspects in a mounting body that is mounted on a part of a user's body. A device (for example, the wristwatch 1 of FIG. 1).

The program according to claim 8 is:
A computer comprising vibration detection means for detecting vibration, position data acquisition means for acquiring position data indicating the current position, storage means, and display means,
A position data acquisition determination function (for example, step A7 in FIG. 7) for determining whether or not position data has been acquired by the position data acquisition means;
When it is determined that position data has been acquired by the position data acquisition determination function, an exercise data calculation function (for example, FIG. 7) calculates current exercise data based on the position data acquired by the position data acquisition means. Step A7; No → A13, A15),
When the position data acquisition determination function determines that position data has not been acquired, the vibration detection means converts conversion data for converting motion data from vibration data indicating vibration detected by the vibration detection means. Based on the vibration data indicating the detected vibration and the motion data calculated by the motion data calculation function, the storage means calculates when it is determined that the position data has been acquired by the position data acquisition determination function Conversion data storage function (for example, step A7 in FIG. 7; No → A19) to be stored in
Based on the conversion data stored in the storage means by the conversion data storage function from the time when it is determined that the position data is not acquired by the position data acquisition determination function until it is determined that the position data is acquired. A motion data estimation function (for example, step A7 in FIG. 7; Yes → A29, A31) for converting and estimating current motion data from the vibration detected by the vibration detection means;
While it is determined that the position data is acquired by the position data acquisition determination function, the exercise data calculated by the exercise data calculation function is displayed on the display means as the latest exercise data, and the position data acquisition determination function From the time when it is determined that position data has not been acquired until the position data is determined to be acquired, the motion data estimated by the motion data estimation function is displayed as the latest motion data on the display means. Exercise data display control function (for example, steps A21 and A23 in FIG. 7),
It is characterized by realizing.

  According to the first aspect of the present invention, vibration is detected, position data indicating the current position is acquired, and whether or not position data has been acquired is determined. If it is determined that the position data has been acquired, the current exercise data is calculated based on the acquired position data. Further, when it is determined that position data has not been acquired, conversion data for converting motion data from vibration data indicating the detected vibration is based on the vibration data indicating the detected vibration and the calculated motion data. When it is determined that position data has been acquired, it is calculated and stored.

  Then, from the time when it is determined that the position data is not acquired until the time when it is determined that the position data is acquired, the current motion data is converted from the detected vibration and estimated based on the stored conversion data. In addition, while it is determined that the position data has been acquired, the calculated exercise data is displayed as the latest exercise data, and from when it is determined that the position data has not been acquired, until it is determined that the position data has been acquired. In the meantime, the estimated motion data is displayed as the latest motion data. Therefore, even if the position data cannot be acquired, the movement data is calculated from the current vibration based on the movement data calculated when the position data can be acquired in the past and the conversion data calculated based on the vibration data. Since it can be converted and estimated and displayed, accurate exercise data can be provided to the user.

  According to the second aspect of the present invention, based on the vibration data indicating the detected vibration and the calculated motion data, the conversion data for converting the motion data from the vibration time interval is calculated and stored, and the stored conversion Based on the data, current motion data can be converted and estimated from the detected vibration time interval.

  According to the invention described in claim 3, based on the vibration data indicating the detected vibration and the calculated motion data, the conversion data for converting the motion data from the number of vibrations per unit time is calculated and stored, Based on the stored conversion data, current motion data can be converted and estimated from the number of detected vibrations per unit time.

  According to the fourth aspect of the present invention, the detected number of vibrations can be displayed as the number of steps. Therefore, the movement data display control device can realize the function of a pedometer (registered trademark).

  According to the fifth aspect of the present invention, the movement distance can be calculated as exercise data based on the acquired position data. Further, based on the vibration data indicating the detected vibration and the calculated movement distance, distance conversion data for converting the movement distance is calculated and stored from the vibration data, and the vibration of the detected vibration is calculated based on the stored distance conversion data. Current travel distance can be converted and estimated from data. And while it is determined that the position data has been acquired, the calculated movement distance is displayed as the latest movement distance, and from the time when it is determined that the position data has not been acquired, until it is determined that the position data has been acquired. In the meantime, the estimated moving distance can be displayed as the latest moving distance.

  According to the sixth aspect of the present invention, the moving speed can be calculated as motion data based on the acquired position data. Further, based on the vibration data indicating the detected vibration and the calculated movement speed, the speed conversion data for converting the movement speed is calculated and stored from the vibration data, and the vibration of the detected vibration is calculated based on the stored speed conversion data. The current moving speed can be converted and estimated from the data. And while it is determined that the position data has been acquired, the calculated moving speed is displayed as the latest moving speed, and from when it is determined that the position data has not been acquired, until it is determined that the position data has been acquired. In the meantime, the estimated moving speed can be displayed as the latest moving speed.

  According to the seventh aspect of the present invention, it is possible to realize a portable device that exhibits the same operational effects as the first aspect of the present invention.

  According to the eighth aspect of the present invention, the position data is stored in a computer including vibration detection means for detecting vibration, position data acquisition means for acquiring position data indicating the current position, storage means, and display means. It is determined whether or not it has been acquired, and when it is determined that position data has been acquired, a function of calculating current exercise data based on the acquired position data is realized. Further, when it is determined that position data has not been acquired, conversion data for converting motion data from vibration data indicating the detected vibration is based on the vibration data indicating the detected vibration and the calculated motion data. The function of calculating and storing when it is determined that the position data has been acquired is realized.

  And, from the time when it is determined that the position data has not been acquired until the time when it is determined that the position data has been acquired, based on the stored conversion data, the function of converting and estimating the current motion data from the detected vibration Is realized. In addition, while it is determined that the position data has been acquired, the calculated exercise data is displayed as the latest exercise data, and from when it is determined that the position data has not been acquired, until it is determined that the position data has been acquired. In the meantime, the function to display the estimated exercise data as the latest exercise data is realized. Therefore, even if the position data cannot be acquired, the movement data is calculated from the current vibration based on the movement data calculated when the position data has been acquired in the past and the conversion data calculated based on the vibration data. Since it can be converted and estimated and displayed, accurate exercise data can be provided to the user.

  Hereinafter, a wristwatch 1 which is a kind of portable device to which the present invention is applied will be described with reference to the drawings. The wristwatch 1 is worn by a long-distance runner who is a user (hereinafter referred to as “runner”) for long-distance running such as a marathon, and is used for the purpose of measuring and displaying exercise data during exercise.

[Overall configuration]
First, a configuration common to the embodiments will be described.
FIG. 1 is a schematic external view of the wristwatch 1, and FIG. 2 is a block diagram showing the internal configuration of the wristwatch 1. The wristwatch 1 includes a main body 2 and a band unit 3. The main body 2 includes a CPU (Central Processing Unit) 20, an input unit 30 including a button for selecting a mode, and data such as exercise data. A display 40 to be displayed, a GPS receiver 50 that receives a signal (radio wave) from the GPS satellite 5 and acquires position data indicating the current position of the runner, a vibration detector 60 that detects vibration, and a ROM ( A read only memory (RAM) 70, a random access memory (RAM) 80, and a timekeeping unit 90 are built in, and each unit is connected to the bus 100 so as to be able to communicate with each other.

  The CPU 20 executes various processes according to a program in the ROM 70 based on an instruction input via the input unit 30 and causes the display unit 40 to display the processing results.

  The input unit 30 outputs the signal of the pressed button to the CPU 20. By pressing the button on the input unit 30, the runner can select either a time display mode as a normal clock or a measurement mode for measuring and displaying exercise data. When the measurement mode is selected, the start / end of the measurement is instructed. The input unit 30 is not necessarily a button, and may be a touch panel, for example.

  The display unit 40 is a part for displaying various data such as measured exercise data, and is configured by an LCD (Liquid Crystal Display) or the like, and performs display based on a display signal input from the CPU 20.

  The GPS receiving unit 50 is a circuit unit that receives a GPS signal (radio wave) transmitted from the GPS satellite 5 and measures the current position in the earth coordinate system, and outputs the position data acquired by the positioning to the CPU 20.

  The vibration detection unit 60 is a vibration sensor including, for example, an inclination sensor, and detects vibration according to the swing of the runner's arm. Specifically, the vibration in accordance with the swing of the arm while the runner is running is detected as ON / OFF.

  The ROM 70 stores programs for realizing various functions provided in the wristwatch 1. The ROM 70 will be described as the ROM 71 in the first embodiment and as the ROM 73 in the second embodiment.

  The RAM 80 is a storage area for temporarily storing various data as a work area of the CPU 20. The RAM 80 will be described as the RAM 81 in the first embodiment and the RAM 83 in the second embodiment.

  The timekeeping unit 90 is a functional unit that includes a clock function for displaying the current time in the time display mode and a stopwatch function that serves as a stopwatch in the measurement mode.

[First Embodiment]
The first embodiment will be described with reference to FIGS.

〔Constitution〕
First, the configuration will be described.
FIG. 3A is a diagram illustrating a configuration of a ROM 71 provided in the wristwatch 1 according to the first embodiment in place of the ROM 70 of FIG. The ROM 71 stores a first exercise data measurement program 711 which is read out by the CPU 20 when a measurement mode is selected by the runner and the start of measurement is instructed and executed as a first exercise data measurement process (see FIG. 7). is doing. The first motion data measurement program 711 includes a first speed vibration conversion data update program 712 executed as the first speed vibration conversion data update process as a subroutine.

  The first motion data measurement process is performed when the CPU 20 causes the GPS receiving unit 50 to acquire position data and the GPS receiving unit 50 acquires position data every “1 second”, which is the time interval for acquiring position data. This is a process of calculating the run distance and running speed of the runner as exercise data based on the acquired position data, and updating the display of exercise data on the display unit 40. Further, the first speed vibration conversion data update process is executed to generate / update the first speed vibration conversion data.

  On the other hand, when the GPS receiving unit 50 cannot acquire the position data, the CPU 20 converts and estimates the travel speed and the travel distance from the first speed vibration conversion data based on the vibration detected by the vibration detection unit 60. Then, the display of the exercise data on the display unit 40 is updated. The first motion data measurement process will be described later in detail.

  The first speed vibration conversion data update process is a process for generating / updating first speed vibration conversion data for converting / estimating the travel speed and the travel distance from the vibration detected by the vibration detection unit 60.

  FIG. 3B is a diagram showing a configuration of a RAM 81 provided in the wristwatch 1 according to the first embodiment instead of the RAM 80 of FIG. The RAM 81 includes a first measurement data storage area 811 that stores first measurement data 812 and a first speed vibration conversion data storage area 817 that stores first speed vibration conversion data 818.

  The first measurement data 812 is data in which position data 813, motion data 814, vibration detection count 815, and vibration detection count 816 for the past 10 seconds are associated with each other. In the first motion data measurement processing, the CPU 20 Data generated every "1 second". A data configuration example of the first measurement data 812 is shown in FIG.

  The position data 813 is data acquired by the GPS receiving unit 50 based on a signal (radio wave) from the GPS satellite 5, and the current position of the runner is represented by latitude and longitude. In the first movement data measurement process, the CPU 20 determines whether or not the position data 813 is successfully acquired by the GPS receiving unit 50 every “one second”. If it is determined that the position data 813 has been acquired, the position data 813 is stored in the first measurement data 812. On the other hand, if it is determined that the position data 813 has not been acquired, the position data 813 is set to “none (−)”.

  The exercise data 814 is information related to the run of the runner, and includes a travel distance, a travel duration, and a travel speed. In the first motion data measurement process, when the CPU 20 determines that the position data 813 has been acquired by the GPS receiver 50, the CPU 20 calculates the motion data 814 every "1 second" based on the position data 813, The measurement data 812 is stored. For example, in FIG. 4, in the travel duration “4′37 ″ 00”, the CPU 20 calculates the latitude “37 ° 22′10.78” N ”and longitude“ 140 ° 51′8.21 ”E in the travel duration. ”And the latitude“ 37 ° 22′10.58 ”N” and longitude “140 ° 51′8.21” E ”in the travel duration“ 4′36 ”00” “1 second” ago, the runner The distance “6 m” moved in “1 second” is calculated. Then, the travel distance “2590 m” is calculated by adding “6 m” to the travel distance “2584 m” at the travel duration “4′36” 00 ”. Further, based on the distance traveled by the runner during “1 second” from the travel duration “4′36” 00 ”to“ 4′37 ”00” is “6 m”, the CPU 20 determines that the travel speed “ 21.6 km / h "is calculated.

  On the other hand, if it is determined that the position data 813 has not been acquired by the GPS receiver 50, the vibration detection interval is calculated from the number of vibration detections 815 detected by the vibration detector 60, and the first velocity vibration conversion data 818 (FIG. 5), the travel speed and the travel distance are converted and estimated from the calculated vibration detection interval and stored in the first measurement data 812. For example, in FIG. 4, in the travel duration “4′40” 00 ”, the CPU 20 calculates the vibration detection interval“ 0.33 s ”from the vibration detection count“ 3 times ”in the travel duration. Then, based on the first speed vibration conversion data 818 in FIG. 5, the travel speed “14.4 km / h” is converted and estimated from the calculated vibration detection interval “0.33 s”. Further, in this case, based on the fact that the movement distance per second (the distance the runner has moved per “second”) corresponding to the calculated vibration detection interval “0.33 s” is “4 m”, the CPU 20 “4 m” is added to the travel distance “2600 m” at the travel duration “4′39” 00 ”to estimate the travel distance“ 2604 m ”.

  The number of vibration detections 815 is the number of vibrations detected by the vibration detection unit 60 during the past “1 second” from the current travel duration. The vibration detection count 816 in the past 10 seconds is the sum of the vibration detection count 815 in the past “10 seconds” from the current travel duration. In the first motion data measurement process, the CPU 20 acquires the vibration detection frequency 815 from the vibration detection unit 60 every “second”, calculates the vibration detection frequency 816 for the past 10 seconds, and stores it in the first measurement data 812. Let For example, in FIG. 4, in the travel duration “4′37” 00 ”, the CPU 20 acquires the vibration detection count“ 5 times ”detected within“ 1 second ”from the travel duration“ 4′36 ”00”. Then, the sum total of the number of vibration detections 815 from the travel duration “4′28 ″ 00” to “4′37 ″ 00” is calculated, and the vibration detection frequency is “36 times” for the past 10 seconds.

  The first speed vibration conversion data 818 includes a 10 second interval moving distance 819, a moving distance 820 per second, a traveling speed 821, a vibration detection frequency 822 for the past 10 seconds, a vibration detection frequency 823 per second, and vibration detection. This is data associated with the interval 824, and is data generated and updated by the CPU 20 in the first speed vibration conversion data update processing.

  In the first speed vibration conversion data update process, the CPU 20 performs a 10 second interval moving distance 819, a moving distance 820 per second, a traveling speed 821, and a past speed every “one second” based on the first measurement data 812. The vibration detection count 822 for 10 seconds, the vibration detection count 823 per second, and the vibration detection interval 824 are calculated, and the first speed vibration conversion data 818 is sequentially updated with the calculated values. A data configuration example of the first velocity vibration conversion data 818 is shown in FIG.

  The 10-second interval travel distance 819 is a distance traveled by the runner in the past “10 seconds” from the current travel duration, and is calculated based on the travel distance of the first measurement data 812. The movement distance 820 per second is an average value per “second” of the movement distance 819 at intervals of 10 seconds. The traveling speed 821 is a speed calculated from the moving distance 820 per second and the time interval (“1 second”) for acquiring position data. That is, the traveling speed 821 is uniquely determined from the 10 second interval moving distance 819 or the moving distance 820 per second. For example, in FIG. 5, when the calculated 10 second interval moving distance 819 is “50 m”, the CPU 20 calculates the moving distance 820 per second as “5 m”, and the runner “ Since the vehicle moves 5 m, the traveling speed 821 is calculated as “18.0 km / h”.

  The vibration detection count 822 for the past 10 seconds is acquired from the vibration detection count 816 for the past 10 seconds in the first measurement data 812. The vibration detection frequency 823 per second is an average value per “1 second” of the vibration detection frequency 822 in the past 10 seconds. The vibration detection interval 824 is a time interval at which vibration is detected, and is calculated from the number of vibration detections 823 per second and the time interval for acquiring position data (“1 second”). For example, in FIG. 5, when the acquired vibration detection count 822 for the past 10 seconds is “40 times”, the CPU 20 calculates the vibration detection count 823 per second as “4 times”, and between “1 second” Since “four times” vibration is detected, the vibration detection interval 824 is calculated as “0.25 s”.

〔principle〕
Next, the principle of motion data measurement in this embodiment will be described with reference to FIG. Here, a case where a runner wears the wristwatch 1 and travels a travel course from point A to point D will be described as an example.

  First, an AB section from a point A to a point B is a section where the sky is open, and is a section where a signal (radio wave) from the GPS satellite 5 can be received. That is, since the position data 813 can be acquired in the AB section, the position data 813 is acquired every “second” in the section, and the exercise data 814 is calculated based on the acquired position data 813.

  Next, the B-C section from the B point to the C point is a section in a tunnel, for example, and is a section in which a signal (radio wave) from the GPS satellite 5 cannot be received. That is, the position data 813 cannot be acquired in the BC section, and the motion data 814 cannot be calculated. Therefore, in the section, the motion data is “every second” based on the first velocity vibration conversion data 818. 814 is estimated.

  Finally, the CD section from the point C to the point D is a section in which the sky is open and is a section in which a signal (radio wave) from the GPS satellite 5 can be received. That is, since the position data 813 can be acquired in the CD section, the position data 813 is acquired every “second” in the section, and the exercise data 814 is calculated based on the acquired position data 813.

[Operation]
Next, the operation will be described.
FIG. 7 shows the flow of the first movement data measurement process executed in the wristwatch 1 when the runner is instructed to start measurement in the measurement mode and the CPU 20 reads and executes the first movement data measurement program 711. It is a flowchart to show.

  First, the CPU 20 sets the position data acquisition time interval to “1 second” as an initial setting, starts the stopwatch in the time measuring unit 90, and displays the running duration on the display unit 40 as exercise data (step A1). . Thereafter, the displayed travel duration is constantly updated on the basis of the stopwatch principle.

  Next, the CPU 20 determines whether or not “1 second”, which is the time interval for acquiring the position data, has elapsed by determining whether or not the measurement time of the stopwatch is a regular second (step A3). When it is determined that the time has not elapsed (step A3; No), the process waits as it is, and when it is determined that the time has elapsed (step A3; Yes), the vibration detection frequency 815 detected by the vibration detection unit 60 is determined. It is acquired and stored in the first measurement data storage area 811 (step A5). Further, the vibration detection frequency 816 is calculated for the past 10 seconds and stored in the first measurement data storage area 811 (step A6).

  Next, the CPU 20 determines whether or not the position data 813 has not been acquired by the GPS receiving unit 50 (step A7). If it is determined that the position data 813 has been acquired (step A7; No), the CPU 20 The position data 813 is acquired (step A9) and stored in the first measurement data storage area 811 (step A11).

  Then, the CPU 20 calculates a travel distance based on the acquired position data 813 (step A13), and calculates a travel speed based on the position data 813 and the time interval for acquiring the position data (“1 second”) ( Step A15). Then, the CPU 20 sets the travel distance and travel speed calculated in steps A13 and A15 together with the travel duration measured by the stopwatch as the motion data 814, and associates the position data 813 with the first measurement data storage area. 811 (step A17).

  Then, the CPU 20 reads and executes the first speed vibration conversion data update program 712 to perform the first speed vibration conversion data update process (step A19). The first speed vibration conversion data update process is as described above.

  Next, the CPU 20 updates the display of the exercise data on the display unit 40 with the travel distance and travel speed calculated in steps A13 and A15 (steps A21 and A23). Then, the CPU 20 determines whether or not the end of measurement is instructed by the runner (step A25).

  If it is determined in step A25 that the end of measurement has not been instructed (step A25; No), the CPU 20 returns to step A3, and if it is determined that the end of measurement has been instructed (step A25; Yes). Then, the first motion data measurement process is terminated.

  On the other hand, if it is determined in step A7 that the position data 813 has not been acquired by the GPS receiving unit 50 (step A7; Yes), the CPU 20 displays a mark indicating that the estimation is in progress on the display unit 40 (step A27). . Then, the CPU 20 calculates a vibration detection interval from the vibration detection frequency 815 acquired in step A5 and the time interval (“1 second”) of position data acquisition (step A28).

  Next, the CPU 20 converts and estimates the travel speed from the vibration detection interval calculated in step A28 based on the first speed vibration conversion data 818 generated and updated by the first speed vibration conversion data update process in step A19. (Step A29). Further, the CPU 20 estimates the travel distance by adding the travel distance 820 per second corresponding to the travel speed estimated in Step A29 to the latest travel distance (Step A31).

  Then, the CPU 20 sets the travel speed and travel distance estimated in steps A29 and A31 as the motion data 814, stores them in the first measurement data storage area 811 (step A33), and shifts the processing to step A21.

[Display screen]
Next, the processing so far will be specifically described with reference to a display screen example.
In the display screen, the travel distance, travel duration, and travel speed are simply displayed as distance, time, and speed. Further, the numerical values of the exercise data shown in the display screen are based on the numerical values shown in the first measurement data 812 in FIG. 4 and the first velocity vibration conversion data 818 in FIG.

FIGS. 8A to 8C are diagrams illustrating transition examples of display screens displayed on the display unit 40 when the runner travels, for example, in the AB section of FIG. 6 when position data can be acquired.
First, on the display screen W10, of the exercise data, the travel distance D10 is displayed as “2590 m”, the travel duration T10 is “4′37” 75 ”, and the travel speed V10 is“ 21.6 km / h ”. After that, when the measurement time is “4′38” 00 ”which is the second, the travel distance“ 2595 m ”and the travel speed“ 18 ”are obtained based on the position data acquired from the GPS receiver 50 (step A9 in FIG. 7). .0 km / h "is newly calculated (steps A13 and A15 in FIG. 7), and updated with D12, T12, and V12 on the display screen W12 together with the travel duration“ 4′38 ”00” (FIG. 7). 7 steps A21, A23).

  Thereafter, the measurement time elapses, and during the measurement time “4′38” 32 ”,“ 4′38 ”32” is displayed as the travel duration T14 on the display screen W14, but “4” on the display screen W12. Since “1 second” has not elapsed since “38” 00 ”, the travel distance and the travel speed remain the travel distance“ 2595 m ”and the travel speed“ 18.0 km / h ”on the display screen W12. After that, when the measurement time becomes “4′39” 00 ”, the travel distance and travel speed are newly calculated and updated based on the newly acquired position data.

FIGS. 8D to 8F are diagrams illustrating transition examples of display screens displayed on the display unit 40 when the runner is traveling in the section B-C in FIG. 6, for example, when position data cannot be acquired.
After the display screen W14 is displayed, it is assumed that, for example, the runner enters the tunnel at the measurement time “4′38” 91 ”and the GPS receiver 50 cannot receive a signal (radio wave) from the GPS satellite 5. In this case, “4′39 ″ 00” is displayed as the travel duration time T16 on the display screen W16 when the measurement time becomes “4′39 ″ 00” which is the second in seconds. Further, “4 times” is acquired as the number of times of vibration detection from the vibration detection unit 60 (step A5 in FIG. 7), it is determined that position data is not acquired (step A7 in FIG. 7; Yes), and the display screen W16. A mark M16 indicating that estimation is in progress is displayed (step A27 in FIG. 7).

  Next, the vibration detection interval is calculated as “0.25 s” from the acquired vibration detection count “4 times” and the position data acquisition time interval (“1 second”) (step A28 in FIG. 7). Then, based on the first speed vibration conversion data 818 generated and updated by the first speed vibration conversion data update process, the traveling speed “18.0 km / h” is converted and estimated from the vibration detection interval “0.25 s”. (Step A29 in FIG. 7), the travel distance is estimated to be “2600 m” obtained by adding the travel distance “5 m” per second to the latest value “2595 m” (Step A31 in FIG. 7). The travel distance D16 is displayed as “2600 m”, and the travel speed V16 is displayed as “18.0 km / h” (steps A21 and A23 in FIG. 7).

  Thereafter, the measurement time elapses, and at the measurement time “4′39” 57 ”,“ 4′39 ”57” is displayed and updated as the travel duration time T18 on the display screen W18. The travel distance “2600 m” and the travel speed “18.0 km / h” remain on the display screen W16.

  The display screen when the travel duration T20 becomes “4′40” 00 ”is the display screen W20, and the number of vibration detections is“ 3 times ”, so the vibration detection interval is“ 0.33 s. ”And the travel speed“ 14.4 km / h ”is converted and estimated based on the first speed vibration conversion data 818 (step A29 in FIG. 7). Further, the travel distance is estimated to be “2604 m” obtained by adding the travel distance “4 m” per second to the latest value “2600 m” (step A31 in FIG. 7). The travel distance D20 is displayed as “2604 m”, and the travel speed V20 is displayed as “14.4 km / h” (steps A21 and A23 in FIG. 7).

[Function and effect]
As described above, according to the present embodiment, when the position data can be acquired, the travel distance and the travel speed are calculated as the motion data based on the acquired position data, and the display is updated. Is not obtained, the travel distance and travel speed are estimated and the display is updated.

  Specifically, when the position data cannot be acquired, the first speed vibration conversion data generated based on the motion data calculated when the position data can be acquired in the past and the vibration detected by the vibration detection unit 60 are used. Based on the current vibration detection interval, the travel speed is converted and estimated, and the travel distance is estimated and displayed from the travel distance per second corresponding to the estimated travel speed. The traveling speed is displayed. Therefore, even when position data cannot be acquired, accurate motion data can be provided to the user.

[Second Embodiment]
The second embodiment will be described with reference to FIGS. 9 and 10.
In the second embodiment, instead of the first speed vibration conversion data in the first embodiment, the second speed vibration conversion data is generated / updated, and the travel distance and the travel speed are converted / converted based on the second speed vibration conversion data. presume. The second speed vibration conversion data is different from the first speed vibration conversion data in the data configuration and generation / update method. Note that the estimation principle and display screen example are substantially the same as those in the first embodiment.

  FIG. 9A is a diagram showing a configuration of a ROM 73 provided in place of the ROM 70 of FIG. 2 in the wristwatch 1 according to the second embodiment. The ROM 73 stores a second exercise data measurement program 731 that is read out by the CPU 20 when the measurement mode is selected by the runner and the start of measurement is instructed, and executed as the second exercise data measurement process. The second motion data measurement program 731 includes a second speed vibration conversion data update program 732 executed as a second speed vibration conversion data update process as a subroutine.

  In the second motion data measurement process, in step A19 of the first motion data measurement process in the first embodiment, the first speed vibration conversion data update process is replaced with the second speed vibration conversion data update process, and in steps A29 and A31, This is a process realized by using data used for conversion / estimation of travel speed and travel distance as second speed vibration conversion data.

  The second speed vibration conversion data update process is a process of generating / updating second speed vibration conversion data for converting / estimating the travel speed and the travel distance from the vibration detected by the vibration detection unit 60.

  FIG. 9B is a diagram showing a configuration of a RAM 83 provided in place of the RAM 80 of FIG. 2 in the wristwatch 1 according to the second embodiment. The RAM 83 includes a first measurement data storage area 811 that stores first measurement data 812 and a second speed vibration conversion data storage area 831 that stores second speed vibration conversion data 832. The first measurement data storage area 811 and the first measurement data 812 are substantially the same as in the first embodiment.

  The second speed vibration conversion data 832 is data composed of vibration detection count 833 per second, vibration detection interval 834, the number of occurrences 835, a movement distance 836 per second, and a traveling speed 837. In the second speed vibration conversion data update process, the CPU 20 generates and updates data every "1 second".

  In the second speed vibration conversion data update process, the CPU 20 acquires the vibration detection frequency 833 per second from the vibration detection frequency 815 of the first measurement data 812 every “second”, and calculates the vibration detection interval 834. In addition, the number of occurrences 835 is calculated, a moving distance 836 per second is calculated based on the travel distance and the number of occurrences 835, and a traveling speed 837 is calculated. Then, the second speed vibration conversion data 832 is sequentially updated based on the newly calculated value. A data configuration example of the second speed vibration conversion data 832 is shown in FIG.

  The vibration detection frequency 833 per second is acquired from the vibration detection frequency 815 of the first measurement data 812. The vibration detection interval 834 is a time interval at which vibration is detected, and is calculated from the number of vibration detections 833 per second and the time interval for acquiring position data (“1 second”). That is, the vibration detection interval 834 is uniquely determined from the number of vibration detections 833 per second. For example, in FIG. 10, when the acquired vibration detection count 833 per second is “3 times”, the CPU 20 detects “3 times” vibration in “1 second”, so the vibration detection interval is increased. Calculated as “0.33 s”.

  The number of occurrences 835 is the total number of occurrences of vibration detection times 833 per second. For example, in FIG. 10, when the number of vibration detections 833 per second is “3”, the number of occurrences 835 is “87”, and the CPU 20 acquires vibrations per second acquired during the new travel duration. When the number of detections 833 is “3 times”, “1” is added to make “88 times”.

  The movement distance 836 per second is an average value of distance traveled by the runner during “one second”, and is calculated based on the travel distance of the first measurement data 812 and the number of occurrences 835. For example, when the vibration detection count 833 acquired per second in the new travel duration is “3 times”, the CPU 20 sets the vibration detection count 815 of the first measurement data 812 in FIG. 4 to “3 times”. The distance traveled by the runner during “1 second” is calculated from the travel duration immediately before that with reference to the travel distance in the travel duration. Then, the calculated values are added together and averaged with the number of occurrences “88 times” to calculate the moving distance 836 per second.

  The traveling speed 837 is calculated from the moving distance 836 per second and the time interval for acquiring position data (“1 second”). For example, in FIG. 10, when the calculated movement distance 836 per second is “3.6 m”, the CPU 20 moves the travel speed “837” to “3.6 m” in “one second”. It is calculated as “13.0 km / h”.

[Operation]
Next, the operation will be described.
When the start of measurement is instructed by the runner in the measurement mode, the CPU 20 reads and executes the second motion data measurement program 731 to perform the second motion data measurement process.

  In the second motion data measurement process, when the CPU 20 causes the GPS receiver 50 to acquire the position data 813 every “one second” which is the time interval for acquiring the position data, and the GPS receiver 50 acquires the position data 813, The travel distance and travel speed of the runner are calculated as motion data 814 based on the acquired position data 813, and the display of motion data on the display unit 40 is updated with the travel distance and travel speed calculated. Further, by reading and executing the second speed vibration conversion data update program 732, the second speed vibration conversion data update process is performed, and the second speed vibration conversion data 832 is generated and updated.

  On the other hand, when the GPS receiving unit 50 cannot acquire the position data 813, the CPU 20 calculates a vibration detection interval from the number of vibration detections 815 detected by the vibration detection unit 60, and based on the second speed vibration conversion data 832. The travel speed is converted and estimated from the calculated vibration detection interval. Further, the travel distance is estimated from the travel distance per second corresponding to the estimated travel speed, and the display of the motion data on the display unit 40 is updated with the estimated travel distance and travel speed. Then, when the end of measurement is instructed by the runner, the CPU 20 ends the second movement data measurement process.

[Function and effect]
As described above, in the present embodiment, it is determined whether or not the position data is acquired by the GPS receiving unit 50 every “one second”, and when the position data is acquired, the travel distance is calculated based on the position data. The traveling speed can be calculated as exercise data, and the display can be updated. On the other hand, when the position data is not acquired, the second speed vibration conversion data generated / updated based on the vibration detection frequency and the motion data calculated every “one second” when the position data has been acquired in the past. Based on this, the travel distance and travel speed can be converted and estimated, and the display can be updated.

[Modification]
Next, modified examples of the above-described two embodiments will be described.

(A) Time Interval for Obtaining Position Data In the above-described embodiment, the time interval for obtaining position data by the GPS receiver 50 is set to “1 second”, but this time interval can be changed as appropriate.

(B) Method for Generating Speed Vibration Conversion Data In the above-described embodiment, the first speed vibration conversion data and the second speed vibration conversion data (hereinafter, collectively referred to as “speed vibration conversion data”) are randomized by the runner. It has been described that it is generated / updated every "one second" according to the travel speed. However, instead of adopting such a configuration, the following may be adopted.

  First, by displaying a predetermined message on the display unit 40, an instruction is given to the runner to run at a constant running speed (for example, “10 km / h”). The instruction to the runner may be based on sound output.

  Next, when the runner's running speed is higher than “10 km / h”, an instruction is given to decrease the running speed. When the runner is slower than “10 km / h”, an instruction is given to increase the running speed while giving a predetermined instruction. The vehicle is run at a running speed of “10 km / h” for a time (eg, “1 minute”). Then, the total number of vibration detections in “1 minute” is calculated, and the number of vibration detections per second and the vibration detection interval at the traveling speed “10 km / h” are calculated from the calculated values.

  Hereinafter, the run speed of the runner is gradually increased (for example, “11 km / h”, “12 km / h”...) By changing the display instructions and the like, and vibration per second at each travel speed. The number of detections and the vibration detection interval are calculated. By adopting such a configuration, it becomes possible to easily generate velocity vibration conversion data.

(C) Data Configuration of Speed Vibration Conversion Data In the above-described embodiment, the first speed vibration conversion data 818 includes the 10 second interval moving distance 819, the moving distance 820 per second, the traveling speed 821, and the vibration for the past 10 seconds. The description has been made assuming that the number of detections is 822, the number of vibration detections per second 823, and the vibration detection interval 824. However, not all these six data are necessary for estimating the travel distance and travel speed. For example, the first speed vibration conversion data 818 is composed of two data, that is, a movement distance 820 per second and a vibration detection frequency 823 per second. Then, the travel distance and travel speed are estimated from the travel distance 820 per second corresponding to the acquired number of vibration detections. This is because the travel distance and travel speed can be calculated if the travel distance 820 per second is known. Further, the first speed vibration conversion data 818 is composed of two data of the traveling speed 821 and the vibration detection interval 824. Then, the travel speed and the travel distance are converted and estimated from the travel speed 821 corresponding to the calculated vibration detection interval 824. This is because the travel distance can be calculated if the travel speed is known. The same applies to the data structure of the second speed vibration conversion data.

(D) Display of step count The total number of vibration detections described in the above-described embodiment is considered to correspond to the step count of the runner. Therefore, the total number of vibration detections may be calculated every “second” and the step count H30 as shown in the display screen W30 of FIG. 11 may be displayed. Thereby, the wristwatch 1 can realize the function of a pedometer.

(E) Types of Vibration Sensor In the above-described embodiment, the vibration sensor has been described as a tilt sensor. However, for example, a sensor such as an acceleration sensor or a gyro sensor may realize the same function.

(F) Method for Acquiring Position Data In the above-described embodiment, it has been described that position data is acquired based on a signal (radio wave) transmitted from the GPS satellite 5. However, for example, a transmitter that transmits a signal at a predetermined installation position along a traveling course is installed, and when a runner passes the vicinity of the transmitter, a signal transmitted from the transmitter is received. It is good also as a structure which acquires position data.

(G) Form of portable apparatus provided with exercise data acquisition device In the above-described embodiment, the wristwatch 1 is described as an example of the portable apparatus to which the present invention is applied. For example, a small apparatus that can be accommodated in a pocket or the like. It is also good. Moreover, it is good also as an apparatus which can be attached to an arm, an ankle, etc. with a belt, and is good also as a headphone-type apparatus.

FIG. The block diagram which shows the internal structure of a wristwatch. (A) The figure which shows the data structure of ROM in 1st Embodiment. (B) The figure which shows the data structure of RAM in 1st Embodiment. The figure which shows an example of a data structure of 1st measurement data. The figure which shows an example of a data structure of 1st speed vibration conversion data. The figure which shows the principle of exercise | movement data measurement. The flowchart which shows the flow of a 1st exercise | movement data measurement process. The figure which shows an example of the display screen in 1st Embodiment. (A) The figure which shows the data structure of ROM in 2nd Embodiment. (B) The figure which shows the data structure of RAM in 2nd Embodiment. The figure which shows an example of a data structure of 2nd speed vibration conversion data. The figure which shows an example of the display screen in a modification.

Explanation of symbols

1 Watch 2 Body 3 Band 5 GPS Satellite 20 CPU
30 Input unit 40 Display unit 50 GPS reception unit 60 Vibration detection unit 70 ROM
80 RAM
90 clock 100 bus

Claims (8)

In an exercise data display control device comprising a display unit for displaying exercise data during user exercise,
Vibration detecting means for detecting vibration;
Position data acquisition means for acquiring position data indicating the current position;
Position data acquisition determining means for determining whether or not position data has been acquired by the position data acquiring means;
When it is determined that position data has been acquired by the position data acquisition determination means, exercise data calculation means for calculating current exercise data based on the position data acquired by the position data acquisition means,
When the position data acquisition determining means determines that position data has not been acquired, conversion data for converting motion data from vibration data indicating vibration detected by the vibration detecting means is converted by the vibration detecting means. Conversion calculated and stored when it is determined that the position data has been acquired by the position data acquisition determination unit based on the vibration data indicating the detected vibration and the movement data calculated by the movement data calculation unit Data storage means;
The vibration detection based on the conversion data stored by the conversion data storage means from the time when the position data acquisition determination means determines that the position data has not been acquired until it is determined that the position data has been acquired. Motion data estimating means for converting and estimating current motion data from vibration detected by the means;
While it is determined that the position data has been acquired by the position data acquisition determining means, the exercise data calculated by the exercise data calculating means is controlled to be displayed on the display unit as the latest exercise data, and the position data From the time when it is determined that the position data is not acquired by the acquisition determining means until the position data is determined to be acquired, the exercise data estimated by the exercise data estimating means is displayed as the latest exercise data. Exercise data display control means for performing control to be displayed on the unit;
An exercise data display control device. The conversion data storage means converts conversion data for converting movement data from vibration time intervals based on vibration data indicating vibration detected by the vibration detection means and movement data calculated by the movement data calculation means. Means for calculating and storing,
The motion data estimation means is means for converting and estimating current motion data from the time interval of vibration detected by the vibration detection means based on the conversion data stored by the conversion data storage means.
The motion data display control device according to claim 1. The conversion data storage means converts motion data from the number of vibrations per unit time based on vibration data indicating vibration detected by the vibration detection means and motion data calculated by the motion data calculation means. Means for calculating and storing conversion data;
The motion data estimation means is means for converting and estimating current motion data from the number of vibrations per unit time detected by the vibration detection means based on the conversion data stored in the conversion data storage means. is there,
The motion data display control device according to claim 1.   4. The exercise data display control device according to claim 3, further comprising a step number display control unit that performs control to display the number of vibrations detected by the vibration detection unit as a step number. The movement data calculation means has distance calculation means for calculating a movement distance as the movement data based on the position data acquired by the position data acquisition means,
The conversion data storage means calculates distance conversion data for converting a movement distance from vibration data based on vibration data indicating the vibration detected by the vibration detection means and the movement distance calculated by the distance calculation means. Distance conversion data storage means for storing
The movement data estimation means includes distance estimation means for converting and estimating a current moving distance from vibration data of vibration detected by the vibration detection means based on the distance conversion data stored in the distance conversion data storage means. Have
The movement data display control means performs control to display the movement distance calculated by the distance calculation means as the latest movement distance while it is determined that the position data has been acquired by the position data acquisition determination means, From the time when it is determined that the position data is not acquired by the position data acquisition determining means until the position data is determined to be acquired, the moving distance estimated by the distance estimating means is set as the latest moving distance. Control to display,
The exercise data display control apparatus according to any one of claims 1 to 4, wherein The movement data calculation means includes speed calculation means for calculating a movement speed as the movement data based on the position data acquired by the position data acquisition means,
The conversion data storage means calculates speed conversion data for converting the movement speed from the vibration data based on vibration data indicating the vibration detected by the vibration detection means and the movement speed calculated by the speed calculation means. Speed conversion data storage means for storing
The motion data estimation means includes speed estimation means for converting and estimating a current moving speed from vibration data of vibration detected by the vibration detection means based on the speed conversion data stored in the speed conversion data storage means. Have
The movement data display control means performs control to display the movement speed calculated by the speed calculation means as the latest movement speed while it is determined that the position data has been acquired by the position data acquisition determination means, From the time when it is determined that the position data is not acquired by the position data acquisition determining means to the time when it is determined that the position data is acquired, the moving speed estimated by the speed estimating means is set as the latest moving speed. Control to display,
The exercise data display control apparatus according to any one of claims 1 to 5, wherein   A portable device comprising the exercise data display control device according to any one of claims 1 to 6 in an attachment main body attached to a part of a user's body. A computer comprising vibration detection means for detecting vibration, position data acquisition means for acquiring position data indicating the current position, storage means, and display means,
A position data acquisition determination function for determining whether or not position data has been acquired by the position data acquisition means;
An exercise data calculation function for calculating current exercise data based on the position data acquired by the position data acquisition means when it is determined that the position data is acquired by the position data acquisition determination function;
When the position data acquisition determination function determines that position data has not been acquired, the vibration detection means converts conversion data for converting motion data from vibration data indicating vibration detected by the vibration detection means. Based on the vibration data indicating the detected vibration and the motion data calculated by the motion data calculation function, the storage means calculates when it is determined that the position data has been acquired by the position data acquisition determination function Conversion data storage function to be stored in,
Based on the conversion data stored in the storage means by the conversion data storage function from the time when it is determined that the position data is not acquired by the position data acquisition determination function until it is determined that the position data is acquired. A motion data estimation function for converting and estimating current motion data from vibration detected by the vibration detection means;
While it is determined that the position data is acquired by the position data acquisition determination function, the exercise data calculated by the exercise data calculation function is displayed on the display means as the latest exercise data, and the position data acquisition determination function From the time when it is determined that position data has not been acquired until the position data is determined to be acquired, the motion data estimated by the motion data estimation function is displayed as the latest motion data on the display means. An exercise data display control function,
A program to realize

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