JP2014006091A - Portable device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To calculate traveling speed and distance with high accuracy even when data considered to be external disturbance has been obtained.SOLUTION: A body vibration frequency in a direction in which the user's body vertically moves is detected by an acceleration sensor during running (S2), and correlation between speed information obtained by processing signals included in a radio wave from a position information satellite and the body vibration frequency is determined. Here, external disturbance data indicating a frequency exceeding a preset upper value of the body vibration frequency and a preset lower value of the body vibration frequency is excluded (S4), and then correlation is determined (S5).

Description

  The present invention relates to a portable device including a receiving module that receives radio waves from a position information satellite and an acceleration sensor.

  In running watches that display speed information obtained by processing signals from position information satellites such as GPS (Global Positioning System) satellites, it is no longer possible to receive radio wave information from position information satellites such as in tunnels. In this case, how to display the traveling speed becomes a problem.

  Conventionally, as shown in Patent Document 1, when an acceleration sensor that is separate from the running watch is used and radio wave information cannot be received from the position information satellite, the user's signal is output based on the output signal from the acceleration sensor. A method has been proposed in which driving ability is learned and a user's driving speed is estimated.

US Patent Publication US 7,827,000 B2

  However, in the method of the cited document 1, a lot of data regarding the relationship between the cadence and the speed is acquired, but a specific method for how to obtain the correlation from these many data groups is not shown. . In particular, in the method of Cited Document 1, if data considered to be disturbance is acquired, it is unclear what kind of processing is performed, so that the accuracy of the output value may deteriorate due to the disturbance. It is done.

  An object of the present invention is to provide a portable device capable of calculating a traveling speed and a distance with high accuracy even when data considered to be disturbance is obtained.

  In order to solve the above problems, the portable device of the present invention includes a receiving unit that receives radio waves from a position satellite, and a detecting unit that can detect a body vibration frequency in a direction in which the user's body moves up and down during traveling. Display means for displaying driving information, and speed information obtained by processing a body vibration frequency detected by the detection means and a signal included in the radio wave when the reception state of the radio wave satisfies a predetermined standard; A means for identifying the correlation between the frequency and the speed information based on the measurement data given by the set, and a body detected by the detection means when the reception state of the radio wave does not satisfy a predetermined standard. An estimation means for estimating a running speed or a running pace based on the vibration frequency and the correlation specified by the specifying means; a frequency exceeding an upper limit value of a preset body vibration frequency; And when the measurement data indicating a frequency lower than a preset lower limit value of the body vibration frequency is disturbance data, the specifying means specifies the correlation based on the measurement data excluding the disturbance data. It is characterized by doing.

  In this portable device, when the reception state of the radio wave satisfies a predetermined standard, the correlation between the body vibration frequency detected by the detection unit and the velocity information included in the radio wave is specified by the specifying unit. The At this time, the upper limit value and the lower limit value of the body vibration frequency are set in advance, and the frequency that exceeds the preset upper limit value of the body vibration frequency and the frequency that is lower than the preset lower limit value of the body vibration frequency. As a disturbance, it is excluded from specifying the correlation. When the reception state of the radio wave does not satisfy a predetermined standard, the estimation unit estimates the travel speed or the travel pace based on the body vibration frequency detected by the detection unit and the correlation specified by the specification unit. To do.

  Therefore, according to the present invention, since the detection means is provided in the portable device, there is no trouble of mounting the sensor on other parts of the body besides the portable device. In addition, since the running speed or running pace is estimated based on the body vibration frequency in the direction in which the user's body moves up and down during running, the running speed or running speed is reliably and accurately regardless of the user's stride and exercise ability. The pace can be estimated. In particular, since the correlation is specified after excluding the data that is clearly not considered to be human movement as a disturbance, it is possible to accurately estimate the running speed or the running pace.

  In this portable device, the specifying means includes means for calculating an average speed based on the speed information, and means for calculating an average frequency based on the frequency, and the average frequency is equal to or less than the average speed. The measured data and the measured data that is greater than the average speed and less than or equal to the average frequency are disturbance data, and the correlation is specified based on the measured data excluding the disturbance data. Good. By configuring in this way, since the data below the average speed and above the average frequency and the data above the average speed and below the average frequency are clearly not considered human movement, It is possible to accurately estimate the running speed or the running pace by specifying the correlation after excluding the data as disturbance.

  In this portable device, the specifying unit includes a primary formula calculating unit that calculates a primary formula as the correlation, and the primary formula calculating unit is configured to calculate the primary formula based on the measurement data excluding the disturbance data. May be calculated. By configuring in this way, it is possible to estimate the running speed or the running pace with high accuracy because the linear expression is specified after excluding data that is clearly not considered human movement as disturbance. Become.

  In this portable device, the linear equation calculating means may calculate the linear equation using a least square method. If comprised in this way, the said linear equation with high precision will be easily calculated and it will become possible to estimate a running speed or a running pace with sufficient precision.

  In the portable device, the specifying unit includes a generating unit that generates a table for specifying the correlation, and the generating unit generates the table based on the measurement data excluding the disturbance data. It may be. If comprised in this way, it will become possible to estimate the traveling speed or traveling pace with high accuracy easily.

  In this portable device, when the reception state of the radio wave satisfies a predetermined standard, a traveling speed or a traveling pace based on speed information included in the radio wave may be displayed on the display unit. If comprised in this way, it will become possible to perform an exact speed display or running pace display.

1 is an overall view of a GPS system including a GPS running watch 100 according to an embodiment of the present invention. 1 is a plan view of a GPS running watch 100. FIG. 1 is a block diagram showing a circuit configuration of a GPS running watch 100. FIG. It is a figure for demonstrating the error of the stride at the time of using a separate-type acceleration sensor. It is a figure which shows the relationship between a body vibration frequency and traveling speed. It is a figure for demonstrating the process at the time of GPS reception in the one Embodiment of this invention, and GPS reception impossible. It is a flowchart which shows the calculation process of the speed and distance in one Embodiment of this invention. It is a figure which shows the output waveform of each axis | shaft of an acceleration sensor. It is the figure which calculated | required the relationship between a body vibration frequency and running speed about various users. It is a figure which shows the area excluded from the calculation process of a primary equation as disturbance in one Embodiment of this invention. It is a figure which shows the example of the primary type | formula calculated after excluding the data considered as disturbance from the data shown in FIG. It is a figure which shows the direction of each axis | shaft at the time of mounting GPS running watch 100 on an arm. It is a figure which shows the vibration of each axial direction at the time of seeing the screen of the GPS running watch 100 during normal driving | running | working. It is the figure which calculated | required the relationship between the body vibration frequency of the runner A, and a travel speed. It is a figure which shows the primary formula calculated | required from the data of FIG. It is the figure which calculated | required the relationship between the body vibration frequency of a runner B, and driving speed. It is a figure which shows the primary formula calculated | required from the data of FIG. It is the figure which calculated | required the relationship between the body vibration frequency of a driving person, and driving speed. It is a figure which shows the primary formula calculated | required from the data of FIG. It is a figure which shows the secondary type | formula calculated | required from the data of FIG. It is a figure which shows the secondary type | formula calculated | required from the data of FIG. It is a figure which shows the secondary type | formula calculated | required from the data of FIG.

  Preferred embodiments of the present invention will be described below in detail with reference to the accompanying drawings. However, in each figure, the size and scale of each part are appropriately changed from the actual ones. Further, since the embodiments described below are preferable specific examples of the present invention, various technically preferable limitations are attached thereto. However, the scope of the present invention is particularly limited in the following description. Unless otherwise stated, the present invention is not limited to these forms.

<A: Mechanical configuration of GPS running watch>
FIG. 1 is an overall view of a GPS system including a GPS running watch 100 as a portable device according to an embodiment of the present invention. The GPS running watch 100 is a portable device that displays radio wave information (radio signal) from the GPS satellite 20 and displays speed information and the like. The GPS running watch 100 is opposite to the surface that contacts the arm (hereinafter referred to as “back surface”). The time is displayed on the side surface (hereinafter referred to as “surface”).

  The GPS satellite 20 is a position information satellite that orbits a predetermined orbit over the earth, and transmits a navigation message superimposed on a 1.57542 GHz radio wave (L1 wave) to the ground. In the following description, the 1.57542 GHz radio wave on which the navigation message is superimposed is referred to as a “satellite signal”. The satellite signal is a right-handed circularly polarized wave.

  Currently, there are about 31 GPS satellites 20 (in FIG. 1, only 4 out of about 31 are shown), and in order to identify which GPS satellite 20 the satellite signal was transmitted from, The GPS satellite 20 superimposes a unique pattern of 1023 chips (1 ms period) called a C / A code (Coarse / Acquisition Code) on the satellite signal. The C / A code looks like a random pattern with each chip being either +1 or -1. Therefore, by correlating the satellite signal and the pattern of each C / A code, the C / A code superimposed on the satellite signal can be detected.

  The GPS satellite 20 is equipped with an atomic clock, and the satellite signal includes extremely accurate time information (hereinafter referred to as “GPS time information”) measured by the atomic clock. Further, a slight time error of the atomic clock mounted on each GPS satellite 20 is measured by a control segment on the ground, and the satellite signal includes a time correction parameter for correcting the time error. The GPS running watch 100 receives a satellite signal transmitted from one GPS satellite 20, and corrects the internal time to an accurate time by using GPS time information and time correction parameters included therein.

  The satellite signal includes satellite orbit information indicating the position of the GPS satellite 20 in the orbit. The GPS running watch 100 can perform positioning calculation using GPS time information and satellite orbit information. The positioning calculation is performed on the assumption that a certain amount of error is included in the internal time of the GPS running watch 100. That is, in addition to the x, y, and z parameters for specifying the three-dimensional position of the GPS running watch 100, the time error becomes an unknown. For this reason, the GPS running watch 100 generally receives satellite signals transmitted from four or more GPS satellites, and performs positioning calculation using GPS time information and satellite orbit information included therein.

  FIG. 2 is a plan view of the GPS running watch 100. As shown in FIG. 2, the GPS running watch 100 includes an exterior case 80. The exterior case 80 is configured by fitting a cover glass 82 made of glass or plastic to a case 81 made of plastic. In the present embodiment, the exterior case is composed of two parts, but may be composed of one part. Or you may make it comprise by 3 parts using a back cover. The liquid crystal panel 40 is disposed below the cover 82, and the traveling speed, the traveling distance, the traveling time, the traveling pace (for example, the required time per minute (minutes)), the pitch (the number of steps per minute), Running information such as the number of steps is displayed.

  In addition, the GPS running watch 100 can be switched to a running mode for displaying traveling speed, a time display mode for displaying time, and the like by manually operating the operation buttons 16 to 19.

<B: Circuit configuration of GPS running watch>
FIG. 3 is a block diagram showing a circuit configuration of the GPS running watch 100. As shown in FIG. 3, the GPS running watch 100 includes an MCU 30, a power circuit 31, a liquid crystal panel display unit 32, a flash ROM 33, a GPS module 34, a wireless communication unit 35, a buzzer 36, a light 37, an acceleration sensor 38, and a crystal oscillator 39. The reset circuit 41 and the operation buttons 16 to 19 are included.

  The MCU 30 includes a memory for storing a program therein, and controls each part of the GPS running watch 100, and also performs a storage process of a user's running state and a speed calculation process as described later. ing. When the power supply circuit 31 is connected to the AC adapter 42, the power supply circuit 31 charges the secondary battery 31a. The secondary battery 31a supplies driving power to the liquid crystal panel display unit 32, the GPS module 34, and the like.

  The GPS module 34 performs a process of acquiring satellite information such as satellite orbit information, GPS time information, or position information included in the navigation message from a 1.5 GHz band satellite signal extracted by a SAW filter (not shown). The flash ROM 33 stores time difference information, for example. The time difference information is information in which time difference data (such as a correction amount for UTC associated with coordinate values (for example, latitude and longitude)) is defined. As will be described later, the correlation between the body vibration frequency and the speed is also recorded in the flash ROM 33.

  The wireless communication unit 35 is configured to perform wireless communication between the GPS running watch 100 and a personal computer and transmit log data stored in the GPS running watch 100 to a personal computer or the like. The buzzer 36 is used to notify the completion of the user setting process. The light 37 is used to irradiate the liquid crystal panel 40 with light by operating the operation buttons by the user so that the user can easily see at night.

  As shown in FIG. 2, the acceleration sensor 38 includes an X-axis direction corresponding to the horizontal direction when the GPS running watch 100 is viewed from the front, a Y-axis direction corresponding to the vertical direction, and a cover glass 82 of the GPS running watch 100. This is a sensor capable of detecting acceleration in the three-axis direction in the Z-axis direction corresponding to the direction perpendicular to. In other words, when the GPS running watch 100 is worn on the arm and running with the thumb up, the user's traveling direction is the X-axis direction, the user's vertical movement direction (gravity) direction is the Y-axis direction, and the user The direction of left and right movement is the Z-axis direction. Details will be described later. The crystal oscillation circuit 39 is a crystal oscillation circuit with a temperature compensation circuit, and generates a reference clock signal having a substantially constant frequency regardless of the temperature. The reset circuit 41 is used for resetting the operation of the GPS running watch 100. The operation buttons 16 to 19 are used to switch the operation mode (running mode, time display mode, etc.), to perform display settings of the liquid crystal panel 40 and various setting inputs.

<C: Speed estimation processing and distance calculation processing by acceleration sensor of GPS running watch>
Next, speed estimation processing and distance calculation processing by the acceleration sensor of the GPS running watch 100 of the present embodiment will be described in detail. When receiving radio wave information from GPS satellites or when radio waves from GPS satellites are weak, use speed information obtained by processing signals contained in radio wave information from GPS satellites. I can't.

  As a method for estimating the traveling speed when the speed information obtained by processing the signal included in the radio wave information from the GPS satellite cannot be used, a separate type device with a built-in acceleration sensor is used. There is a method of measuring the running speed using this device attached to shoes. However, in this method, the measurement value varies depending on how the user sets the stride. In addition, even for the same user, the stride differs depending on whether the running pace is high pace or slow pace. As shown in FIG. 4, for example, even if the stride is set to 110 cm, the stride may be 120 cm at a high pace such as downhill, or the stride may be 100 cm at a slow pace such as uphill. Therefore, there is an error of ± 10 cm per step, and this error always accumulates. Therefore, it is difficult to accurately measure the traveling speed with the method using a separate acceleration sensor.

  However, as a result of the study, it was found that the body vibration frequency, that is, the frequency of the vibration that the runner's body moves up and down while traveling is correlated with the actual run speed of the runner regardless of the runner's stride. did. In addition, the relationship between the body vibration frequency and the running speed does not depend on the difference in the athletic ability of the runner, and as shown in FIG. 5, it is almost proportional from the general runner to the athletes of athletics. It was found that the higher the body vibration frequency, the higher the traveling speed. For example, as shown in FIG. 5, when a general runner runs, the body vibration frequency is about 2.5 Hz to 3.2 Hz, and in a marathon athlete, the body vibration frequency is about 3.5 Hz to 3.7 Hz, about 100 m. It was found that the body vibration frequency was about 5.1 Hz for Olympic athletes.

  Therefore, in the present embodiment, as an example, the correlation between the body vibration frequency and the running speed is specified using the vibration frequency of the acceleration sensor 38 in the Y-axis direction as the body vibration frequency of the user. Specifically, as shown in FIG. 6, when radio wave information from the GPS satellite is being received well, the user's body vibration frequency is measured and included in the radio wave information from the GPS satellite at that time. The speed information obtained by processing the signal is used as the traveling speed, and the data of the body vibration frequency of the user and the data of the traveling speed are recorded in association with each other. And the primary expression which shows the correlation with a user's body vibration frequency and running speed is specified from the recorded data. For example, the least square method is used to specify the linear expression. If it is determined that the radio wave information from the GPS satellite cannot be received satisfactorily, the user's body vibration frequency measured from the acceleration sensor is applied to the specified primary equation, the traveling speed is estimated, and the distance from the speed is estimated. I asked for.

  Next, a specific example of the speed estimation process and the distance calculation process of this embodiment will be described based on the flowchart of FIG. 7 and the output waveform diagram of the acceleration sensor of FIG. First, when starting the running, the user operates the operation button 16 of the GPS running watch 100 to start the measurement of the speed and the distance. When the measurement is started, the acceleration sensor 38 outputs amplitude values of vibrations in the respective directions of the X axis, the Y axis, and the Z axis as shown in FIG. Therefore, as an example, the lower peak value of the acceleration waveform in the Y-axis direction is detected from the acceleration waveform output from the acceleration sensor 38, and the time when the lower peak value is obtained is stored as needed (FIG. 7: S1). .

  Then, from the time when the lower peak value is obtained, the vibration frequency in the Y-axis direction per time, that is, the wave number of vibration in the Y-axis direction is detected and stored (FIG. 7: S2). In the present embodiment, as an example, when 36 lower peak values are obtained, the frequency is detected by dividing the value of 36 by the required time to date. Next, it is determined whether or not the reception state of the radio wave from the GPS satellite satisfies a predetermined standard (FIG. 7: S3), and when the reception state of the radio wave from the GPS satellite satisfies the predetermined standard (FIG. 7). : S3; YES), clearly the human movement from the data consisting of the stored frequency and the speed information obtained by processing the signal from the GPS satellite when the lower peak value was obtained For the data that cannot be obtained, a process of excluding it as a disturbance is performed (FIG. 7: S4).

  For example, as shown in FIG. 5, a frequency exceeding 5.5 Hz, which is a higher frequency than the world record holder of 100m competition, is clearly not considered human movement, so such a frequency can be obtained. In the event of a failure, the data is excluded. In addition, the frequency below 1.5 Hz, which is lower than the frequency when walking by ordinary people, is clearly not considered human movement, so even if such a frequency is obtained, the data is exclude. Thus, in this embodiment, the upper limit value of the frequency is set to 5.5 Hz, the lower limit value is set to 1.5 Hz, and the case where the upper limit value is exceeded and the case where the lower limit value is not reached Was excluded.

  In this embodiment, as shown in FIG. 10, the average speed and the average frequency are calculated based on the recorded data. Then, data having a frequency slower than the average speed and higher than the average frequency is obviously not considered to be a human movement, and is excluded from the calculation process of the primary expression as a disturbance. Furthermore, data with a frequency that is faster than the average speed and lower than the average frequency is clearly not considered to be a human motion, and is therefore excluded from the calculation process of the primary expression as a disturbance.

  In the present embodiment, after the data considered to be disturbance is excluded from the recording data as described above, a linear expression is obtained from the recording data using, for example, the least square method (FIG. 7: S5). The linear equation shown in FIG.

  In addition, the speed information obtained by processing the signal from the GPS satellite at that time is displayed as the traveling speed, and the time from when the previous speed information is acquired to the time when the current speed information is acquired is the acquired speed. The travel distance from the time when the previous speed information is acquired to the time when the current speed information is acquired is multiplied by the information (FIG. 7: S6). The calculated travel distance may be displayed together with the travel speed, or may be displayed at any time according to the operation of the user's operation button. Then, the calculated distance is added to the total distance so far (FIG. 7: S8). The display of the total distance may be performed at any time or according to the operation of the operation buttons by the user.

  Next, it is determined whether or not the user's travel has ended (FIG. 7: S9). This determination may be made when the user operates the operation button 16 of the GPS running watch 100 to end the measurement of the speed and the distance, and determines that the traveling has ended. If the travel has not ended (FIG. 7: S9; NO), the above-described processing is repeated.

  In addition, when it is determined that the reception state of the radio wave from the GPS satellite does not satisfy the predetermined standard (FIG. 7: S3; NO), the body vibration frequency obtained from the output of the acceleration sensor 38 is obtained by the obtained linear expression. The running speed is calculated and displayed. Also, the time from when the previous speed information was acquired or the travel speed was calculated to the time when the current travel speed was calculated is multiplied by the calculated travel speed to calculate the previous speed information or the travel speed. The travel distance from when the travel speed is calculated until the current travel speed is calculated and displayed (FIG. 7: S7). Then, the calculated distance is added to the total distance so far (FIG. 7: S8). The display of the total distance may be performed at any time or according to the operation of the operation buttons by the user.

  Next, it is determined whether or not the user's travel has ended (FIG. 7: S9). This determination may be made when the user operates the operation button 16 of the GPS running watch 100 to end the measurement of the speed and the distance, and determines that the traveling has ended. If the travel has not ended (FIG. 7: S9; NO), the above-described processing is repeated. Note that the calculated linear expression may be stored as it is even after the running is completed, or may be cleared when the user using the GPS running watch 100 changes.

  FIG. 9 shows the results of recording data showing the relationship between the body vibration frequency and the running speed of various users, and obtaining the primary equations from the recorded data. As shown in FIG. 9, even if there is a difference in traveling speed depending on the user, the relationship between the body vibration frequency of each user and the traveling speed can be expressed by a linear expression.

  Therefore, according to the present embodiment, even when traveling in a section where radio wave information from GPS satellites such as in a tunnel cannot be received satisfactorily, based on a linear expression calculated while radio wave information from GPS satellites can be received satisfactorily. Since the user's traveling speed can be estimated, the user can always check his / her traveling speed and can travel at a desired pace or an appropriate pace.

In this embodiment, the vibration frequency in the Y-axis direction of the acceleration sensor 38 is obtained and used as the body vibration frequency. However, the vibration direction used as the body vibration frequency is a direction in which the user's body moves up and down during traveling. What is necessary is just to use the vibration of the axis closest to the weight direction. The vibration of the axis closest to the gravitational direction refers to the vibration in the axial direction in which the amplitude is the largest among the vibrations in the X-axis direction, the Y-axis direction, and the Z-axis direction. For example, in a state where the GPS running watch 100 is worn on the arm and the thumb is on the top, the amplitude of vibration in the Y-axis direction shown in FIG. The vibration in the Y-axis direction is used. However, as shown in FIG. 12, when looking at the liquid crystal panel of the GPS running watch 100 while running, the amplitude of vibration in the Z-axis direction, which is the direction perpendicular to the liquid crystal panel of the GPS running watch 100, becomes the largest. Therefore, in this case, the vibration in the Z-axis direction is used as the vibration of the axis closest to the gravity direction. FIG. 13 shows an example of vibration in each axial direction.
As shown in FIG. 13, it can be seen that the amplitude of vibration in the Y-axis direction is the largest in the state where the GPS running watch 100 is worn on the arm and the thumb is up. However, when looking at the screen of the GPS running watch 100, it can be seen that the amplitude of vibration in the Z-axis direction is the largest, as shown in region A of FIG. In this embodiment, the vibration in the axial direction with the largest amplitude is adopted as the vibration of the axis closest to the gravity direction, and the vibration frequency of the axis closest to the gravity direction is obtained as the body vibration frequency.
However, the present invention is not limited to such an example, and the frequency of the waveform obtained by synthesizing the vibration waveform of each axis of the acceleration sensor 38 may be used as the body vibration frequency.

  In the above-described embodiment, the example in which the linear expression is calculated from the relationship between the body vibration frequency and the traveling speed and the primary expression is stored has been described. However, the relationship between the body vibration frequency and the traveling speed is stored as a table. Then, the travel speed may be estimated using this table. Whether or not the GPS satellite radio wave reception condition satisfies a predetermined standard is determined based on whether or not the number of receivable satellites is equal to or less than the predetermined number, or whether the error of the measurement position by each satellite is a predetermined value. What is necessary is just to judge by whether it became above.

  As described above, according to the present embodiment, since data that is clearly not considered human movement is excluded from the recorded data as disturbance, the linear expression is calculated, so that the body vibration frequency and the traveling speed are accurate. Can be obtained.

  In addition, according to the present embodiment, the multi-axis acceleration sensor 38 is provided in the GPS running watch 100 to estimate the running speed, so that a sensor separate from the running watch is attached to the foot and chest. There is no need to make preparations before driving easier. Further, since the acceleration sensor 38 is built in the GPS running watch 100, there is no risk of data recording failure due to battery exhaustion or old battery as in the case of using a separate sensor.

  In addition, in this embodiment, since the movement of body vibration with a large amplitude is detected, even if the movement of the arm while traveling is various and complicated by the user, it is possible to accurately capture the waveform peak, The accuracy of the output value can be improved. Furthermore, some runners do not swing their arms when running, but in this embodiment, since the movement of body vibration with a large amplitude is detected, even when such a runner that does not swing arms is used, The accuracy of the output value can be improved.

  In addition, since the user does not need to input the distance traveled before traveling, even when the user travels on an arbitrary route, the travel distance can be appropriately grasped. Since it is not necessary to set and input the stride (stride), it is possible to accurately calculate the travel distance without being affected by the setting error and the error of the stride while traveling.

<D: Modification 1>
In the above-described embodiment, the example in which the primary expression is obtained from the relationship between the body vibration frequency and the traveling speed has been described, but the secondary expression may be obtained. FIG. 14, FIG. 16, and FIG. 18 are plots of data showing the relationship between the body vibration frequency and the traveling speed of the traveling person A, the traveling person B, and the traveling person C, respectively. FIGS. 15, 17 and 19 are examples in which a linear expression is calculated based on the data shown in FIGS. 14, 16 and 18, respectively. On the other hand, FIG. 20, FIG. 21, and FIG. 22 are examples in which a quadratic expression is calculated based on the data shown in FIG. 14, FIG. 16, and FIG. Thus, according to this embodiment, the relationship between the body vibration frequency and the traveling speed can be learned as a quadratic expression. Note that the quadratic expression may be specified by using the least square method as in the case of the linear expression.
In the example illustrated in FIG. 5, the case where the data whose frequency exceeds 5.5 Hz and the data when the frequency falls below 1.5 Hz is excluded as a disturbance has been described. However, the present invention is not limited to such an example, and high-speed and low-speed data that are clearly not considered human movements may be excluded as disturbances. . Furthermore, in consideration of both frequency and speed, the corresponding data may be excluded as a disturbance.

  In the above-described embodiment, the GPS satellite 20 is exemplified as the position information satellite included in the GPS system, but this is merely an example. The GPS system is a location that transmits satellite signals from other global navigation satellite systems (GNSS) such as Galileo (EU), GLONASS (Russia), Hokuto (China), and geostationary and quasi-zenith satellites such as SBAS. Any device having an information satellite may be used. That is, the GPS running watch 100 may be configured to acquire speed information obtained by processing radio waves (radio signals) from position information satellites including satellites other than the GPS satellites 20.

The velocity information may be velocity information itself included in the radio wave from the position information satellite, or positioning calculation is performed using GPS time information and satellite orbit information included in the radio wave from the position information satellite. May be information on the ground speed calculated from the travel distance (travel distance) obtained by the above and the elapsed time.
Furthermore, in the above-described embodiments and modifications, the example of specifying the correlation between the body vibration frequency and the running speed has been described, but the correlation between the body vibration frequency and the running pace may be specified. The travel pace may be expressed by the time (minutes) per km by the reciprocal of the travel speed. Further, the running pace may be estimated from the correlation between the specified body vibration frequency and the running speed and the measured body vibration frequency. However, the present invention is not limited to such an example, and it may be anything represented by a time per second (second, minute, hour).

  DESCRIPTION OF SYMBOLS 100 ... GPS running watch, 16, 17, 18, 19 ... Operation button, 30 ... MCU, 31 ... Power supply circuit, 31a ... Secondary battery, 32 ... Liquid crystal panel display part, 33 ... Flash ROM, 34 ... GPS module, 35 ... wireless communication part, 38 ... acceleration sensor, 40 ... liquid crystal panel, 80 ... exterior case, 81 ... case, 82 ... cover glass.

Claims (6)

Receiving means for receiving radio waves from a position satellite;
A detecting means capable of detecting a body vibration frequency in a direction in which the user's body moves up and down during traveling;
Display means for displaying driving information;
Based on measurement data given as a set of body vibration frequency detected by the detection means and speed information obtained by processing a signal included in the radio wave when the reception state of the radio wave satisfies a predetermined standard Identifying means for identifying a correlation between the frequency and the speed information;
An estimation unit that estimates a traveling speed or a traveling pace based on the body vibration frequency detected by the detection unit and the correlation specified by the specifying unit when the reception state of the radio wave does not satisfy a predetermined standard. And comprising
When the measurement data indicating the frequency that exceeds the preset upper limit value of the body vibration frequency and the frequency that is lower than the preset lower limit value of the body vibration frequency is the disturbance data, the specifying means sets the disturbance data as the disturbance data. Identifying the correlation based on the excluded measurement data;
A portable device characterized by that.   The specifying means includes means for calculating an average speed based on the speed information, means for calculating an average frequency based on the frequency, and the measurement data indicating the average frequency equal to or lower than the average speed; The measurement data indicating the average speed and the average frequency is used as the disturbance data, and the correlation is specified based on the measurement data excluding the disturbance data. Portable devices.   The specifying unit includes a primary formula calculating unit that calculates a primary formula as the correlation, and the primary formula calculating unit calculates the primary formula based on the measurement data excluding the disturbance data. The portable device according to claim 1 or 2.   The portable device according to claim 3, wherein the linear expression calculation unit calculates the linear expression using a least square method.   The said specifying means is provided with the production | generation means which produces | generates the table which identifies the said correlation, The said production | generation means produces | generates the said table based on the said measurement data which excluded the said disturbance data. The portable device according to 1 or 2.   When the reception state of the radio wave satisfies a predetermined standard, the display means displays the travel speed or the travel pace based on speed information obtained by processing a signal included in the radio wave. The portable device according to any one of claims 1 to 5.

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