JP2019109109A - Motion monitoring system and motion monitoring method and program and motion monitoring device - Google Patents

Abstract

To provide a motion monitoring system capable of shortening a time from measurement start until positioning of a position starts.SOLUTION: The motion monitoring system has: a wearable device including a sensor part outputting sensor data regarding motion of a user measured at time between a first time and a second time, a position measurement part outputting measurement position information of the user at the second time or a third time later than the second time, and a first communication part communicating the sensor data and the measurement position information to an information processing unit; and an information processing unit including a second communication part acquiring the sensor data and the measurement position information from the wearable device and a processing part determining calculated position information of the user at a time from the first time to the second time using the sensor data and the measurement position information.SELECTED DRAWING: Figure 5

Description

  The present invention relates to a motion monitoring system, a motion monitoring method, a program, and a motion monitoring device.

  Conventionally, a motion monitoring system using a GPS satellite signal transmitted from a GPS (Global Positioning System) satellite, which is a type of positioning satellite, is known. In such a system using GPS satellite signals, it takes a long time from the start of measurement to the start of positioning of position information, and there is a weakness that causes the user to wait. A method called A-GPS (Assisted Global Positioning System) is used. In this method, the position information (satellite orbit information) of the satellite acquired by the server is transmitted to the measuring device via the network, and the measuring device performs positioning based on this position information. It is possible to shorten the time until the positioning of the position is started (see, for example, Patent Document 1).

Japanese Patent Application Publication No. 2014-527176

  However, in the above-described method, it is assumed that the measuring device and the server are connected by a network at the start of positioning or at the time of measurement. For example, the measuring device is not compatible with network communication, or network communication There is a problem that it can not be used when the network connection is not made due to factors such as being out of range (for example, out of the communication range of the portable information device).

  The present invention has been made to solve at least a part of the above-described problems, and can be realized as the following modes or application examples.

  Application Example 1 An exercise monitoring system according to this application example is an exercise monitoring system provided with a wearable device attached to a user and measuring the exercise of the user, and an information processing apparatus capable of communicating with the wearable device. The wearable device further includes: a sensor unit that outputs sensor data related to the user's movement measured between the first time and the second time; and the second time or the second time later than the second time A position measurement unit that outputs measurement position information of the user at a third time, and a first communication unit that communicates the sensor data and the measurement position information to the information processing apparatus; A processing unit for acquiring the sensor data and the measurement position information from the wearable device; Serial sensor data, and characterized by having a, a processing unit for determining a calculated location information of the user during use the measurement position information from the first time in the second time.

  According to the exercise monitoring system according to the application example, the processing unit of the information processing apparatus uses the wearable device to use the sensor data regarding the user's exercise measured between the first time and the second time. The calculated position information as the position information corresponding to the time from 1 to the second time is determined. Therefore, between the first time and the second time, even if the wearable device and the information processing apparatus or the server are not connected by the network, when the user ends the exercise and network communication becomes possible, Alternatively, when network communication becomes possible during exercise, the sensor data and measurement position information acquired by the wearable device can be transmitted to the information processing apparatus, and the information processing apparatus can determine the calculated position information using the sensor data. . As a result, it is possible to determine and output the calculated position information as position information between the first time and the second time and the measurement position information of the user at the third time later. Thus, in the exercise monitoring system, it is possible to determine the position information between the first time and the second time, which is a period prior to the determination of the measurement position information of the user at the second time. it can. In other words, it is possible to determine the calculated position information as position information (position) retroactively before the measurement position information is determined.

  Application Example 2 In the exercise monitoring system according to the application example, it is preferable that the sensor data is relative movement information indicating relative movement in a predetermined direction along with movement of the user.

  According to this application example, even if the measurement position information can not be determined between the first time and the second time, the relative movement information associated with the user's exercise is used to use the first time to the second time. The trajectory of the user during the time can be determined.

  Application Example 3 In the exercise monitoring system according to the application example, the sensor unit preferably includes an acceleration sensor.

  According to this application example, even if the measurement position information can not be determined between the first time and the second time, the user between the first time and the second time is obtained from the sensor data of the acceleration sensor. It is possible to determine the movement distance and pace in exercise of

  Application Example 4 In the motion monitoring system described in the application example, the sensor unit preferably includes a gyro sensor or a direction sensor.

  According to this application example, even if the measurement position information can not be determined between the first time and the second time, the sensor data from the gyro sensor or the direction sensor is used to determine the second time from the first time. The movement trajectory of the user during the time of day can be determined.

  Application Example 5 In the motion monitoring system described in the application example, it is preferable that the position measurement unit use the signal from the satellite of the positioning satellite system to determine the measurement position information that is the current position of the user.

  According to this application example, based on the measured position information that is the current position of the user determined using the signal from the satellite of the positioning satellite system, the moving trajectory of the user between the first time and the second time is It can be determined accurately and reliably.

  Application Example 6 In the exercise monitoring system according to the application example, the processing unit sets the measurement position information as an initial position, and uses the sensor data to use the sensor data from the first time to the second time. It is preferable to determine the said calculated positional information which is a position of.

  According to this application example, by using the measurement position information as the initial position, it is possible to more accurately determine the calculated position information which is the position of the user from the first time to the second time.

  [Example 7 of application] In the exercise monitoring system according to the above example of application, the processing unit determines at least one of the moving distance of the user and the pace from the first time to the second time, the sensor data It is preferable to determine using.

  According to this application example, even if the measurement position information can not be determined between the first time and the second time, the movement distance during exercise from the first time of the user to the second time from the sensor data And / or pace can be determined.

  Application Example 8 In the exercise monitoring system according to the application example, the information processing device includes a display unit, and the display unit displays the measurement position information and the calculated position information on a map. Is preferred.

  According to this application example, by displaying the measurement position information and the calculation position information on the map, the display unit of the information processing device can visually recognize the movement locus from the start to the end of exercise on the map. It can be easily confirmed visually.

  Application Example 9 In the exercise monitoring system according to the application example, the wearable device may have a display unit, and the display unit may display the measurement position information and the calculated position information on a map. preferable.

  According to this application example, the display unit of the wearable device displays the measured position information and the calculated position information on the map, so that the movement locus from the start of exercise to the end can be visually recognized on the map. Can be easily confirmed.

  Application Example 10 The exercise monitoring method according to this application example is an exercise monitoring method of monitoring position information of the user during exercise, and is an exercise monitoring method of monitoring position information of the user during exercise. 1 communication unit includes sensor data on the user's exercise measured between the first time and the second time, and the second time or the third time later than the second time The measurement position information of the user is output, and the processing unit outputs the calculated position information of the user between the first time and the second time using the sensor data and the measurement position information. To be characterized.

  According to the exercise monitoring method of the present application example, the processing unit includes: sensor data relating to the user's exercise measured between the first time and the second time output from the first communication unit; The calculated position information of the user from the first time to the second time is output using the measured position information of the user at the third time later than the time or the second time. Therefore, even if the network is not connected between the first time and the second time, network communication becomes possible when the user finishes exercise and network communication becomes possible or during exercise Sometimes, calculated position information can be determined using sensor data regarding the user's movement measured during that time, and position information prior to determination of the user's measured position information at the second time can be determined . In other words, it is possible to determine the calculated position information as position information (position) retroactively before the measurement position information is determined.

  [Example 11 of application] A program according to this example of application includes the step of outputting sensor data regarding the motion of the user measured between the first time and the second time, and the second time or the second time Outputting measurement position information of the user at a third time later than time, communicating the sensor data and the measurement position information, acquiring the sensor data, and the measurement position information Determining the calculated position information of the user between the first time and the second time using the step, the acquired sensor data and the measured position information, and the measurement together with the calculated position information Outputting the position information.

  According to the program of this application example, the sensor data on the user's motion measured between the first time and the second time output from the first communication unit, and the second time or the second time The calculated position information of the user from the first time to the second time is output using the measurement position information of the user at the third time later than the second time. Therefore, even if the network is not connected between the first time and the second time, network communication becomes possible when the user finishes exercise and network communication becomes possible or during exercise Sometimes, calculated position information can be determined using sensor data regarding the user's movement measured during that time, and position information prior to determination of the user's measured position information at the second time can be determined . In other words, it is possible to determine the calculated position information as position information (position) retroactively before the measurement position information is determined.

  [Example 12 of application] The exercise monitoring device according to this application example is an exercise monitoring device that monitors positional information of the user during exercise, and the exercise monitoring device according to the application example measured by the user between the first time and the second time. A sensor unit that outputs sensor data relating to movement, a position measurement unit that outputs measurement position information of the user at a second time or a third time later than the second time, the sensor data, A processing unit configured to determine calculated position information of the user between the first time and the second time using the measurement position information.

  According to the exercise monitoring device according to the application example, the sensor data on the user's exercise measured between the first time and the second time, and the third time later than the second time or the second time The calculated positional information of the user between the first time and the second time is output using the measured position information of the user at the time of. Therefore, position information prior to the determination of the user's measured position information at the second time can be determined. In other words, it is possible to determine the calculated position information as position information (position) retroactively before the measurement position information is determined.

BRIEF DESCRIPTION OF THE DRAWINGS The schematic block diagram which shows the outline | summary of the movement monitoring system which concerns on this invention. FIG. 1 is an external view showing a schematic configuration of a wearable device used for an exercise monitoring system. The external view which shows the example of mounting | wearing of a wearable apparatus. Sectional drawing which shows the structure of a wearable apparatus. The block diagram which shows the structural example of a movement monitoring system. A list showing acquisition of sensor data and location information (log information) in chronological order. A list showing position information (log information) after conversion processing in time series. The list which shows the modification 1 which concerns on preservation | save of the positional information (log information) after a conversion process in a time series. Explanatory drawing of the calculation example of movement data (sensor data) based on acceleration data (acceleration signal). Explanatory drawing of the example of calculation of movement data (sensor data) based on acceleration data (acceleration signal). The figure explaining the display of the movement locus including the period which is not measured. The figure which shows the acquired sensor data. The figure explaining the display of the movement locus computed using sensor data. The figure explaining the transmission timing of data. 7 is a timing chart showing acquisition of position information at the start of measurement. The flowchart which shows an example of the acquisition procedure of position information (log information) based on sensor data. The flowchart which shows an example of the determination procedure of the calculation positional information based on sensor data. The block diagram which shows the modification concerning the composition of wearable apparatus. The list which shows the modification 2 concerning preservation of the position information (log information) after conversion processing in a time series.

  Hereinafter, an embodiment of a motion monitoring system according to the present invention will be described. Note that the embodiments described below do not unduly limit the contents of the present invention described in the claims. Further, not all of the configurations described in each embodiment are necessarily essential configuration requirements of the present invention.

1. Method of this embodiment First, the method of the embodiment of the exercise monitoring system according to the present invention will be described. Hereinafter, as an exercise monitoring device (detection device) used in the exercise monitoring system, for example, a wearable device (list device) provided with a pulse wave sensor or a body motion sensor attached to the wrist of the user will be described as an example.

  A wearable device as an exercise monitoring device used for an exercise monitoring system includes a pulse wave sensor for acquiring pulse wave information as biological information of the user and a body movement sensor for acquiring movement information (body movement information) of the user. ing. Furthermore, as a wearable device, a GPS (Global Positioning System) as an example of a positioning system using a position information satellite called a Global Navigation Satellite System (GNSS) that acquires user's position information Is equipped. The wearable device may be a wearable device attached to another part of the user, such as the neck or the ankle.

  The pulse wave sensor can acquire pulse wave information such as a pulse rate. As a pulse wave sensor, for example, a photoelectric sensor (light sensor) is used. In this case, a method of detecting reflected light or transmitted light of light irradiated to a living body with the photoelectric sensor may be considered. Since the amount of absorption and reflection of the irradiated light in the living body varies according to the blood flow in the blood vessel, the sensor information detected by the photoelectric sensor becomes a signal corresponding to the blood flow etc., and the signal is analyzed It is possible to obtain information on pulsation. However, the pulse wave sensor is not limited to the photoelectric sensor, and another sensor such as an electrocardiograph or an ultrasonic sensor may be used.

  The body movement sensor is a sensor that detects body movement of the user. As the body motion sensor, it is conceivable to use an acceleration sensor, an angular velocity sensor (gyro sensor), an orientation sensor (a geomagnetic sensor), an atmospheric pressure sensor (altitude sensor) or the like, but other sensors may be used.

  GPS, also referred to as a global positioning system, is a satellite positioning system for measuring the current position on the earth based on a plurality of satellite signals. The GPS has a function of performing positioning calculation using GPS time information and orbit information to acquire user's position information, and a time correction function in a clock function.

2. Exercise Monitoring System Next, the configuration of the exercise monitoring system according to the present invention will be described with reference to FIGS. 1, 2, 3, 4 and 5. FIG. 1 is a schematic configuration view showing an outline of a motion monitoring system according to the present invention. FIG. 2 is an external view showing a schematic configuration of a wearable device used in the exercise monitoring system. FIG. 3 is an external view showing an example of wearing of the wearable device. FIG. 4 is a cross-sectional view showing the configuration of the wearable device. FIG. 5 is a block diagram showing a configuration example of a motion monitoring system.

  The motion monitoring system 100 according to the present embodiment, as shown in FIG. 1, is a wearable device 200 equipped with a pulse wave sensor or a GPS as a biological sensor (photoelectric sensor), and an information processing capable of data communication with the wearable device 200. It includes a portable device 300 as an example of the device, and a server 400 as another example of an information processing device connected to the portable device 300 via the network NE.

  The GPS 160 (see FIG. 5) as a global navigation satellite system provided in the wearable device 200 receives radio waves (satellite signals) from the GPS satellite 8 and corrects internal time, or performs positioning calculation It has a function to acquire information.

  The GPS satellites 8 are an example of position information satellites orbiting on a predetermined orbit above the earth. The GPS satellites 8 transmit high frequency radio waves on which a navigation message is superimposed, for example, radio waves with a frequency of 1.57542 GHz (L1 wave) to the ground. In the following description, for example, a radio wave of 1.57542 GHz on which a navigation message is superimposed is referred to as a satellite signal. The satellite signal is circular polarization of right-handed polarization.

  Currently, there are a plurality of GPS satellites 8 (only four are shown in FIG. 1). In order to identify from which GPS satellite 8 satellite signals are transmitted, each GPS satellite 8 superimposes a unique pattern of 1023 chips (1 ms period) called 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, the C / A code superimposed on the satellite signal can be detected by correlating the satellite signal and the pattern of each C / A code. In this way, it is possible to obtain a satellite number that identifies which GPS satellite 8 the satellite signal was transmitted from.

  The GPS satellite 8 is equipped with an atomic clock. The satellite signal contains extremely accurate GPS time information clocked by an atomic clock. The control segment on the ground measures a slight time error of the atomic clock mounted on each GPS satellite 8. The satellite signal also includes a time correction parameter for correcting the time error. The wearable device 200 receives satellite signals (radio waves) transmitted from one GPS satellite 8 and uses GPS time information, which is time information of the GPS satellites 8 contained therein, and time correction parameters. You can get The satellite signal also includes orbit information (satellite orbit information) indicating the position of the GPS satellite 8 in the orbit, and data capable of acquiring a pseudo distance between the GPS satellite 8 and the wearable device 200.

  The wearable device 200 can perform positioning calculation using GPS time information and orbit information. The positioning calculation is performed on the assumption that the internal time of the wearable device 200 includes a certain degree of error. That is, in addition to the x, y, z parameters for specifying the three-dimensional position of the wearable device 200, the time error is also an unknown number. Therefore, the wearable device 200 receives satellite signals (radio waves) respectively transmitted from, for example, three or more GPS satellites 8, and performs positioning calculation using GPS time information and orbit information contained therein. It is possible to obtain location information of the current location.

  The portable device 300 can be configured by, for example, a smartphone or a tablet terminal device. The portable device 300 is a wearable device 200 using a pulse wave sensor as a living body sensor that is a photoelectric sensor, for example, near field communication or wired communication (not shown) that can exemplify Bluetooth (registered trademark) communication and the like. Etc. are connected.

  The wearable device 200 and the portable device 300 in the present embodiment have a Bluetooth function, and the portable device 300 and the wearable device 200 are connected by Bluetooth communication. Bluetooth communication can perform wireless communication between Bluetooth-equipped devices in a range of about 10 to 100 m in radius while performing frequency hopping in which the 2.4 GHz band is divided into a plurality of frequency channels and the frequency to be used is changed randomly. The connection between the wearable device 200 and the portable device 300 can be suitably performed by Bluetooth communication suitable for mobile communication as simple digital wireless communication with less directivity.

  Further, the Bluetooth communication of this embodiment applies communication by Bluetooth Low Energy (also referred to as Bluetooth 4.0). Bluetooth Low Energy (hereinafter referred to as BLE) is a standard for near field communication using 2.4 GHz band radio, and power saving is emphasized. In BLE, the host side and the device side communicate using a profile called GATT (Generic ATTRibute). By performing such communication in which BLE is applied, power can be saved significantly as compared with the conventional version, and the usable time of the wearable device can be extended.

  In addition, the portable device 300 can be connected to a server 400 such as a PC (Personal Computer) or a server system via the network NE. Here, the network NE can use various networks NE such as wide area network (WAN), local area network (LAN), short distance wireless communication, and the like. In this case, the server 400 is realized as a processing storage unit that receives pulse wave information and body motion information measured by the wearable device 200 from the portable device 300 via the network NE, and stores the information.

  The wearable device 200 may be able to communicate with the mobile device 300, and does not need to be directly connected to the network NE. Thus, the configuration of the wearable device 200 can be simplified. However, in the motion monitoring system 100, the portable device 300 may be omitted, and a modification may be made in which the wearable device 200 and the server 400 are directly connected. In this case, the wearable device 200 has a function of processing measurement information included in the portable device 300, and a function of transmitting the measurement information to the server 400 and receiving information from the server 400.

  Also, the exercise monitoring system 100 is not limited to that implemented by the server 400. For example, the exercise monitoring system 100 may be realized by the mobile device 300. For example, portable devices 300 such as smartphones often have limitations in processing performance, storage area, and battery capacity compared to server systems, but sufficient processing performance and the like can be secured in consideration of recent performance improvements. It is also conceivable. Therefore, if requirements such as processing performance are satisfied, it is possible to make the mobile device 300 the exercise monitoring system 100 according to the present embodiment.

  Further, the motion monitoring system 100 according to the present embodiment is not limited to one realized by one device. For example, the motion monitoring system 100 may include two or more devices of the wearable device 200, the mobile device 300, and the server 400. In this case, the processing executed by the motion monitoring system 100 may be executed by any one device or may be distributed and processed by a plurality of devices. In addition, it is not prevented that the exercise monitoring system 100 according to the present embodiment includes an apparatus different from the wearable apparatus 200, the portable apparatus 300, and the server 400.

  Furthermore, in consideration of the improvement of the terminal performance or the form of use, the exercise monitoring system 100 according to the present embodiment can be realized by the wearable device 200.

  In addition, the processing of each part of the exercise monitoring system 100 according to the present embodiment can be realized by a program. That is, the method of the present embodiment is a method of monitoring the position information of the user during exercise, and outputting sensor data regarding the user's exercise measured between the first time and the second time; Outputting the measured position information of the user at a second time or a third time later than the second time, communicating the sensor data and the measured position information, the sensor data, and the measured position information The step of acquiring, the step of determining the user's calculated position information between the first time and the second time using the acquired sensor data and the measured position information, and the measurement position information being output together with the calculated position information The present invention can be applied to a program that causes a computer to execute processing including steps.

  Further, the exercise monitoring system 100 according to the present embodiment includes a memory that stores information (for example, a program and various data), and a processor that operates based on the information stored in the memory. In the processor, for example, the function of each unit may be realized by separate hardware, or the function of each unit may be realized by integral hardware. The processor may be, for example, a CPU (Central Processing Unit). However, the processor is not limited to a CPU, and various processors such as a graphics processing unit (GPU) or a digital signal processor (DSP) can be used. The processor may also be a hardware circuit with an ASIC. The memory may be, for example, a semiconductor memory such as static random access memory (SRAM) or dynamic random access memory (DRAM), may be a register, or may be a magnetic storage device such as a hard disk drive. Or an optical storage device such as an optical disk device. For example, the memory stores an instruction readable by a computer, and the instruction is executed by the processor to realize the function of each part of the motion monitoring system 100. The instruction here may be an instruction constituting a program or an instruction instructing an operation to a hardware circuit of a processor.

2.1. Wearable Device As shown in FIG. 3, the wearable device 200 is attached to a given site of the user (for example, a measurement target site such as a wrist), and detects pulse wave information, position information, and the like. As shown in FIG. 2, the wearable device 200 includes a device body 18 including a housing 30 and in close contact with the user for detecting pulse wave information and the like, and a pair for attaching the device body 18 to the user. And the band portion 10 of The display unit 50 and the light sensor unit 40 are provided in the device main body 18 including the housing 30. The band portion 10 is provided with a fitting hole 12 and a tail lock 14. The tail lock 14 is composed of a tail lock frame 15 and a locking portion (protrusion rod) 16. Further, a plurality of push buttons are disposed as the operation unit 130 on the side surface of the housing 30.

  In the following description of the wearable device 200, when the device main body 18 is attached to the user, the side located on the side of the target (subject) to be measured is "back side or back side", the opposite side The display surface side of the device main body 18 which becomes the “front side or front side” will be described. Also, the "target (target site)" to be measured may be referred to as a "subject". In addition, a coordinate system is set based on the housing 30 of the wearable device 200, and the back surface to the front surface when the housing 30 on the display surface side of the display unit 50 is the front surface in a direction intersecting the display surface of the display unit 50. The direction heading to is the Z-axis positive direction. Alternatively, the direction away from the housing 30 in the direction from the light sensor unit 40 toward the display unit 50 or in the normal direction of the display surface of the display unit 50 may be defined as the Z-axis positive direction. When the wearable device 200 is attached to the subject, the positive Z-axis direction corresponds to the direction from the subject toward the housing 30. Further, two axes orthogonal to the Z axis are taken as XY axes, and in particular, the direction in which the band portion 10 is attached to the housing 30 is set as the Y axis.

  FIG. 2 shows the wearable device 200 in a state in which the band portion 10 is fixed using the fitting hole 12 and the locking portion 16 in the direction of the band portion 10 (in the mounted state of the surface of the housing 30) It is the perspective view seen from the-Z-axis direction which is the surface side which becomes a side. In the wearable device 200, the band portion 10 is provided with a plurality of fitting holes 12, and the locking portion 16 of the tail lock 14 is inserted into any of the plurality of fitting holes 12 so that the attachment to the user is performed. The plurality of fitting holes 12 are provided along the longitudinal direction of the band portion 10.

  The device body 18 has a housing 30 including a first housing 21 and a second housing 22 as shown in FIG. The second housing 22 is located on the side of the object of measurement when the device body 18 is attached to the user. The first housing 21 is disposed on the opposite side (front side) of the object side of measurement with respect to the second housing 22. The detection window 221 is provided on the back surface of the second housing 22, and the light sensor unit 40 is provided at a position corresponding to the detection window 221.

  In FIG. 2, a biological sensor (photoelectric sensor 401 (see FIG. 4) as a pulse wave sensor for acquiring pulse wave information) is assumed, and light is applied to the surface on the object side of the housing 30 when the wearable device 200 is attached. An example in which the sensor unit 40 is provided is shown. However, the position at which the biological sensor is provided is not limited to the example shown in FIG. For example, a biometric sensor may be provided inside the housing 30.

  FIG. 3 is a view of the wearable device 200 in a state of being worn by the user, as viewed from the side where the display unit 50 is provided (in the Z-axis direction). As shown in FIG. 3, the wearable device 200 according to the present embodiment has the display unit 50 at a position corresponding to the dial face of a normal watch, or at a position where numbers and icons can be viewed. In the mounted state of the wearable device 200, the second housing 22 (see FIG. 4) side of the housing 30 is in close contact with the subject, and the display unit 50 is at a position where the user can easily view.

  Next, the configuration of the device main body 18 of the wearable device 200 will be described with reference to the cross-sectional structural example shown in FIG. 4 and the functional block example shown in FIG. As shown in FIG. 4, in addition to the first housing 21 and the second housing 22, the device body 18 includes a module substrate 35, an optical sensor unit 40 connected to the module substrate 35, a circuit substrate 41, and a panel. A frame 42, a circuit case 44, an LCD 501 constituting the display unit 50, an acceleration sensor 55 as an example of a body movement sensor, an azimuth sensor 56, an angular velocity sensor (gyro sensor) 58, a secondary battery 60, a GPS An antenna 65 and a control unit (CPU) 90 are included. However, the configuration of the wearable device 200 is not limited to the configuration shown in FIG. 4, and it is possible to add other configurations or omit some configurations.

  The first housing 21 may include a body 211 and a glass plate 212. In this case, the body portion 211 and the glass plate 212 are used as an outer wall for protecting the internal structure, and a display unit 50 such as a liquid crystal display (hereinafter, LCD 501) provided directly below the glass plate 212 via the glass plate 212. The display of may be visible to the user. That is, in the present embodiment, various information such as the detected biological information, information indicating the exercise state, or time information is displayed using the LCD 501, and the display is presented to the user from the first housing 21 side. It is also good. Here, although an example is shown in which the top plate portion of the device body 18 is realized by the glass plate 212, a transparent member capable of visually recognizing the LCD 501 and a degree capable of protecting the configuration included in the housing 30 such as the LCD 501. The top plate portion can be made of a material other than glass, such as transparent plastic, as long as it is a member having the following strength.

  The second housing 22 is provided with a detection window 221 and a light shielding portion 222. Then, the light sensor unit 40 is provided at a position corresponding to the detection window 221. The detection window 221 is configured to transmit light, and light emitted from the light emitting unit 150 (see FIG. 5) included in the light sensor unit 40 is transmitted through the detection window 221 to be an object (a target of measurement To the object). Further, the reflected light reflected by the subject also passes through the detection window 221 and is received by the light receiving unit 140 (see FIG. 5) of the light sensor unit 40. That is, by providing the detection window 221, detection of biological information using the photoelectric sensor 401 becomes possible. The light sensor unit 40 is connected to the module substrate 35. The module substrate 35 is electrically connected to the circuit substrate 41 using a flexible substrate 47 or the like.

  A panel frame 42 for guiding a display panel such as an LCD 501 is disposed on one surface of the circuit board 41, and a circuit case 44 for guiding a secondary battery 60 or the like is disposed on the other surface. The circuit board 41 includes a circuit for controlling the GPS 160 (see FIG. 5) including the GPS antenna 65, a circuit for driving the light sensor unit 40 and measuring a pulse wave (pulse), a circuit for driving the LCD 501, and a body movement sensor unit 170. A control unit (CPU) 90 is mounted as a control circuit that controls a circuit that drives and acquires sensor data. The circuit board 41 is electrically connected to the electrodes of the LCD 501 through a connector (not shown). Then, on the LCD 501, the movement trajectory of the monitored user, pulse measurement data such as pulse rate, time information and the like are displayed according to each mode.

  In the circuit case 44, a rechargeable secondary battery 60 (lithium secondary battery) is guided. The secondary battery 60 is connected to the circuit board 41 by the terminals of both electrodes by the connection board 48 or the like, and supplies power to the circuit that controls the power supply. The power supply is supplied to each circuit after being converted to a predetermined voltage by this circuit, etc., and drives the light sensor unit 40 to detect a pulse, drives the LCD 501, controls the circuits to control the circuits (control Unit 90) and the like. Charging of the secondary battery 60 is performed via a pair of charging terminals electrically connected to the circuit board 41 by a conductive member (not shown) such as a coil spring. Although the example using the secondary battery 60 as the battery has been described here, a primary battery which does not require charging may be used as the battery.

  Further, as shown in FIG. 4, the detection window 221 may be extended to the sealing portion 51 provided at the connection portion between the first housing 21 and the second housing 22. Here, the sealing portion 51 may be provided with a packing 52 for sealing the inside of the housing 30 from the outside. The packing 52 is provided at a connection portion between the first housing 21 and the second housing 22 and seals the inside of the housing 30 from the outside.

  The wearable device 200 also has, as its functional configuration, an optical sensor unit 40, a display unit 50, a first communication unit 80, a control unit (CPU) 90, an operation unit 130, and a GPS 160, as shown in FIG. , A body movement sensor unit 170 as a sensor unit, and a storage unit 180.

  The light sensor unit 40 detects a pulse wave or the like, and includes a light receiving unit 140 and a light emitting unit 150. As described above, the light sensor unit 40 irradiates the light emitted from the light emitting unit 150 to the subject (the object to be measured), and the reflected light is received by the light receiving unit 140 to receive pulse wave information. It can be detected. The light sensor unit 40 outputs a signal detected by the pulse wave sensor as a pulse wave detection signal. For example, a photoelectric sensor is used as the light sensor unit 40. In this case, a method of detecting reflected light or transmitted light of light emitted from the light emitting unit 150 with respect to a living body (user's wrist) by the light receiving unit 140 can be considered. In such a method, the amount of absorption and reflection of the irradiated light in the living body varies according to the amount of blood flow in the blood vessel, so the sensor information detected by the photoelectric sensor becomes a signal corresponding to the amount of blood flow By analyzing the signal, it is possible to obtain information on pulsation. However, the pulse wave sensor is not limited to the photoelectric sensor, and another sensor such as an electrocardiograph or an ultrasonic sensor may be used.

  The display unit 50 displays various information such as biological information of the user and information indicating the exercise state, position information, or time information on the LCD 501 based on an instruction of the control unit (CPU) 90 and presents the information to the user. Can. The display unit 50 can indicate the position information of the user on the map, and can visually indicate to the user the movement history plotted on the map as a movement locus. By performing such a display, the user can visually confirm the movement locus and the like, so it becomes easy to grasp the results of running and walking.

  The control unit (CPU) 90 drives the light sensor unit 40 and measures a pulse wave, drives the display unit 50 (LCD 501), drives the body movement sensor unit 170, and detects body movement information, and A control circuit such as a circuit that controls the GPS 160 is configured. The control unit (CPU) 90 can control the start of measurement of the position information, the timing of the measurement end, the switching of the display mode, and the like by the signal from the operation unit 130.

  The control unit (CPU) 90 transmits, to the first communication unit 80, pulse wave information and body motion information detected at each part, or position information of the user. Then, the first communication unit 80 transmits, to the portable device 300, pulse wave information and body motion information transmitted from the control unit (CPU) 90, or position information (measurement position information) of a user and sensor data.

  The control unit (CPU) 90 does not measure or can not measure the position information described above (the n-th time before the second time after the first-time measurement of the first time). Also in the first period until measurement (see FIG. 15), hereinafter, for example, the measurement of the acceleration sensor 55 described later can be performed. The control unit (CPU) 90 can measure the moving distance, moving speed, pitch, pace, and the like of the user in real time using the acceleration data acquired by the acceleration sensor 55. The pace indicates the time taken per unit distance. In this manner, the control unit (CPU) 90 can use the acceleration data acquired by the acceleration sensor 55 to determine at least one of the movement distance during exercise of the user and the pace in the first period.

  An operation unit 130 configured by push buttons is connected to a control unit (CPU) 90. The user can instruct, for example, the start of measurement of position information, the timing of measurement end, or the switching of the display mode by performing an operation such as pressing a plurality of arranged buttons (operation unit 130).

  The GPS 160 includes a GPS antenna 65, a signal processing unit 66, and a CPU 67. In the GPS 160, the signal processing unit 66 processes a plurality of satellite signals received by the GPS antenna 65, and the CPU 67 performs positioning calculation based on the plurality of satellite signals thus processed to obtain measurement position information of the user (determined )can do.

  The CPU 67 includes a measurement position information determination unit 63 as a position measurement unit. The measurement position information determination unit 63 performs positioning calculation based on the acquired plurality of satellite signals, and the first measurement position information (the first measurement position information at the second time) to the end of the measurement A plurality of pieces of measurement position information (including measurement position information at a third time) can be determined as workout information in two periods (see FIG. 15). The measurement position information determined here is position information concerning the current position of the user. Thus, based on the measured position information that is the current position of the user determined using the signals from the satellites of the positioning satellite system, the movement trajectory of the user between the first time and the second time is accurate and reliable It can be decided.

  In this specification, at the second time when positioning based on satellite signals is first calculated from the start of measurement and succeeded from the start of measurement to the end of measurement by the operation of the operation unit 130. The measurement position information is referred to as first measurement position information, and the first measurement position information is referred to as “first measurement position information”. In addition, the period from the measurement start timing by the operation of the operation unit 130 to the determination of the first measurement position information is referred to as a “first period”, and the timing of the first measurement position information determination is The period until the timing of measurement end by the operation is referred to as a “second period”.

  The “first period” and the “second period” are the periods during which the measurement position information is not determined during exercise (period from exercise start to exercise end), in other words, the period for acquiring sensor data, in other words, GPS signal The period during which positioning can not be performed is referred to as the “first period”, and the period during which measured position information is determined during exercise, or in other words, the period during which positioning by the GPS signal can be performed, is also referred to as the “second period”. it can.

  In addition, the timing of measurement start and measurement end is determined by the control unit (CPU) 90 determining based on the button operation of the operation unit 130 or the output of the acceleration sensor 55 or a pulse sensor (not shown). Can.

  The body movement sensor unit 170 as a sensor unit includes an acceleration sensor 55, a direction sensor (geomagnetic sensor) 56, an angular velocity sensor 58, etc., and detects information related to the movement of the user's body, ie, detects body movement information. Can. The body movement sensor unit 170 detects acceleration data from the acceleration sensor 55, direction data from the direction sensor (geomagnetic sensor) 56, and an angular velocity sensor 58 as a body movement detection signal which is a signal that changes according to the user's body movement. The angular velocity data is output. Sensor data such as acceleration data, azimuth data, and angular velocity data are output to, for example, a portable device 300 as an information processing apparatus.

  The storage unit 180 can store biological information such as a pulse wave by the light sensor unit 40, position information by the GPS 160, and body movement information by the body movement sensor unit 170 under the control of the control unit (CPU) 90.

2.2. Mobile Device The mobile device 300, as shown in FIG. 5, has a second communication unit 280 that performs communication processing with the wearable device 200, and a position based on measurement information and position information received by the second communication unit 280. A processing unit 230 that performs calculation processing, a storage unit 240 that stores pulse wave information, body motion information, position information, and the like of the acquired user; and a notification unit 290 that notifies information processed by the processing unit 230; And a communication processing unit 295 that performs communication processing with the outside.

  However, the portable device 300 is not limited to the configuration of FIG. 5, and various modifications may be made such as omitting some of these components or adding other components. For example, the light sensor unit 40 or the body movement sensor unit 170 included in the wearable device 200 or the GPS 160 may be included. The portable device 300 may also include a measurement information processing unit (not shown) that acquires pulse wave information and body motion information of the user detected by the light sensor unit 40 and the body motion sensor unit 170 included in the wearable device 200. Good.

  The second communication unit 280 receives sensor data or measurement information or position information (measurement position information) which is detected and measured by the wearable device 200 and transmitted from the first communication unit 80 of the wearable device 200. In addition, the second communication unit 280 transmits the calculated position information calculated and processed by the mobile device 300 to the wearable device 200.

  The processing unit 230 performs various signal processing and control processing, for example, using the storage unit 240 as a work area, and can be realized by, for example, a processor such as a CPU or a logic circuit such as an ASIC. The processing unit 230 includes a measurement position information acquisition unit 233, a calculation position information determination unit 235, an output unit 237, and a notification control unit 239. Note that the processing unit 230 is the user between the measurement start (first time) and the second time when the positioning of the GPS 160 is started between the measurement start and the measurement end of the wearable device 200 instructed by the user. The position of the GPS 160 is estimated retrospectively from sensor data of the acceleration sensor 55 and the direction sensor 56, for example, to obtain a plurality of calculated position information, positioning of the GPS 160 is started, and measurement position information is determined by the first positioning (second An instruction for storing the measurement position information in the second period from the time) to the end of the measurement in the storage unit 240 or transmitting the information to the wearable device 200 or the server 400 is issued. The processing unit 230 also performs processing for notifying the notification unit 290 of measurement information and position information from the wearable device 200, and calculated position information.

  The measurement position information acquisition unit 233 measures the measurement position information and time information in the second period calculated by the GPS 160 provided in the wearable device 200, or the acceleration sensor 55 and the orientation sensor 56 provided in the wearable device 200. And current position information and movement trajectory information of the user based on the orientation information and body movement information acquired by the angular velocity sensor 58. Note that the measurement position information acquisition unit 233 can store the generated current position information and movement trajectory information in the storage unit 240, or can use the notification control unit 239 as notification data.

  The calculated position information determination unit 235 measures the measurement position information of the user corresponding to the first period based on the sensor data in the first period transmitted from the wearable device 200 and the measurement position information at least at the second time. The calculated position information calculated as position information instead of is determined. Preferably, the calculation position information determination unit 235 determines the calculation position information with the first measurement position information (first measurement position information) at the second time as an initial position. In this way, it is possible to calculate position information (position) retroactively ahead of the first measurement position information. In addition, since the position at the time of movement by the user's movement is calculated using the first measurement position information (first measurement position information) as the initial position, the accurate initial position can be set. The time required for positioning can be shortened and the accuracy can be improved.

  The calculation position information determination unit 235 stores the determined calculation position information as log information for each elapsed time in the storage unit 240 together with current position information and movement trajectory information generated by the measurement position information acquisition unit 233, or a notification control unit The notification data can be made by H.239.

  The calculated position information determination unit 235 performs positioning calculation on the sensor data received from the wearable device 200. In order to do so, you must first clarify the time (time), and if one or more pieces of position information can be acquired (if positioning is possible), the measurement time and satellite time information included in the position information From the relationship of (1), the measurement time included in the received sensor data may be converted into satellite time information to obtain the time. If the positioning has not been successful even once, the initial time of the mobile device 300 is used. At this time, since the time of the portable device 300 is not necessarily correct, the correction is performed using the time data or the like of the wearable device 200 transmitted from the wearable device 200 and measured. Thus, after acquiring time, positioning calculation is implemented using sensor data, and calculation position information is determined.

  When the initial position is required, the position information of the last use of the wearable device 200 may be referred to from the history of the server 400 and used. Also, position information at the time of the first positioning success or a similar one (for example, an average of several seconds, an average of the whole after that) may be used as the initial position for the positioning calculation of sensor data. Further, when the distance between the wearable device 200 and the server 400 is assumed to be close to a certain extent, the position information of the server 400 may be used as the initial position.

  In addition, after the calculated position information determination unit 235 determines the calculated position information in the first period, the sensor data corresponding to each calculated position information used when calculating the calculated position information is stored in the storage unit 180. It may be deleted from

  Further, the calculated position information determination unit 235 may determine at least one of the moving distance of the user and the pace between the first time and the second time using the sensor data. In this way, even if the measurement position information can not be determined between the first time and the second time, the movement distance during exercise from the first time of the user to the second time from the sensor data, And / or the pace can be easily determined.

  The output unit 237 wears the calculated position information in the first period determined by the calculated position information determining unit 235 and the measurement position information and movement trajectory information in the second period acquired by the measurement position information acquiring unit 233 Output to 200 and server 400.

  The notification control unit 239 is generated from the position information of the user in the second period acquired by the measurement position information acquiring unit 233, the calculated position information of the user in the first period determined by the calculated position information determination unit 235, and the like. Based on the current position information of the user, movement locus information, activity information of the user, or the like, control processing such as generation of notification data for performing notification of each and notification instruction to the notification unit 290 is performed. Then, the notification control unit 239 transmits a notification signal subjected to control processing to a notification unit (not shown) provided in the device on the network NE via the notification unit 290 or the communication processing unit 295.

  The storage unit 240 calculates the user's position information in the second period including the second time acquired by the measurement position information acquiring unit 233 or the third time later than the second time, and the calculated position information determination unit The user's current position information or movement trajectory information generated from the user's calculated position information or the like in the first period including the first time determined by the H.235, or the user's activity information is stored. In addition, the storage unit 240 stores a program that causes a computer to execute a series of processes of the exercise monitoring system 100 according to the present embodiment. The memory can be composed of, for example, a semiconductor memory such as a static random access memory (SRAM) or a dynamic random access memory (DRAM), a magnetic storage device such as a hard disk drive, or an optical storage device such as an optical disk drive.

  The notification unit 290 notifies the user of various types of information under the control of the notification control unit 239. The notification unit 290 includes a display unit 291 that performs image display, for example, a liquid crystal display. The notification unit 290 displays, on the display unit 291, images of activity information such as current position information, movement trajectory information, or body movement information, based on, for example, a data signal from the notification control unit 239. The display unit 291 can indicate the position information of the user on the map, and can visually indicate to the user the movement history plotted on the map as a movement locus. By performing such a display, the user can visually confirm the movement locus and the like, so it becomes easy to grasp the results of running and walking. The notification unit 290 can include, as another notification method, a vibration unit 292 using a vibration motor (vibrator) or the like, or a notification light emitter (not shown) using an LED or the like. The vibrating unit 292 reports various information to the user by the lighting and blinking of the light emitter, etc. in the light emitter for notification depending on the strength and length of the vibration of the vibration motor (vibrator). Note that these pieces of information may be displayed only by image display, or may be notified in combination with at least one of vibration and light emission for notification.

  The communication processing unit 295 performs a communication process for transmitting the notification signal controlled by the notification control unit 239 to a notification function unit provided in another terminal device or the like. In this case, it is possible to perform processing of wireless communication according to the short distance wireless communication standard such as Bluetooth, for example, without using the mobile phone network or the wireless LAN network NE. The notification signal transmitted here can be an image signal, a vibration signal, a light emission signal, or the like. The communication processing unit 295 also connects to a server 400 such as a PC or server system via the network NE.

3. Exercise Monitoring Method Next, an example of the operation procedure (exercise monitoring method) of the exercise monitoring system will be described with reference to FIG. 6, FIG. 7 and FIG. FIG. 6 is a list showing acquisition of sensor data and position information (log information) in time series. FIG. 7 is a list showing position information (log information) after conversion processing in time series. FIG. 8 is a list showing, in chronological order, Modification 1 according to storage of position information (log information) after conversion processing. FIG. 9 is an explanatory diagram of a calculation example of movement data (sensor data) based on acceleration data (acceleration signal). FIG. 10 is an explanatory diagram of a calculation example of movement data (sensor data) based on acceleration data (acceleration signal). FIG. 11 is a diagram for explaining display of a movement locus including a period which is not measured. FIG. 12 is a diagram showing acquired sensor data. FIG. 13 is a view for explaining the display of the movement locus calculated using the sensor data. FIG. 14 is a diagram for explaining transmission timing of data. FIG. 15 is a timing chart showing acquisition of position information at the start of measurement. The following description will be made using the same reference numerals as the configuration of the motion monitoring system described above.

3.1. Data Transmitted and Received by Exercise Monitoring System First, data transmitted and received by the exercise monitoring system 100 and exchange of data between devices constituting the exercise monitoring system 100 will be described with reference to FIGS. 6, 7, and 8. .

  In the exercise monitoring system 100, data such as position information (measurement position information) measured by the wearable device 200 and measurement results of various sensors are updated as log information in the portable device 300 after acquisition or at any time during acquisition of data. The portable device 300 updates the acquired information as it is to the server 400 and stores it as log information. When acquiring wear data of the GPS 160 in the wearable device 200, the portable device 300 acquires, from the server 400, assist information (such as Eph information) at the time of operating the operation unit 130 of the wearable device 200. Send to 200 In addition, the portable device 300 can refer to or send the user's past history and reference events stored in the server 400 as needed. When the position information and movement trajectory information of the GPS 160 are transmitted from the wearable device 200 to the portable device 300 after the measurement is completed, they are transmitted from the wearable device 200 as a data configuration (configuration of log information) as shown in FIG. It is also good.

  In the wearable device 200 that calculates the position of the user, it takes time to receive a satellite signal from the GPS satellite 8 and start positioning at the start of measurement. However, as shown in FIG. 6, measurement is performed, for example, by the acceleration sensor 55 or the like until positioning calculation starts, and relative movement information representing relative movement in a predetermined direction accompanying the user's movement is It is received as representing sensor data (refer to FIG. 12). Then, in addition to conventional position information (corresponding to measurement position information), sensor data is added to log information updated from the wearable device 200 to the portable device 300. As described above, the mobile device 300 can not determine the measurement position information in the first period of time from the start of measurement (for example, the first time) to the second time when the measurement position information is determined. Can determine the movement trajectory of the user between the first time and the second time in advance (first period) using the relative movement information by the sensor data accompanying the movement of the user.

  Here, FIG. 6 shows the state of log information for each elapsed time from the start of measurement. And, from the wearable device 200, such sensor data (relative movement information) and measurement position information are output. In the example shown in FIG. 6, positioning starts from the time of 37000 msec (37 seconds) from the start of measurement as the second time when the first positioning is successful, and the period after this time (second time) (described later A plurality of measurement position information is determined and output as log information of the second period). Here, the measurement position information when positioning starts is taken as the first measurement position information. During that time (from the first time 1000 msec to the second time 36000 msec), sensor data based on measurement data of the acceleration sensor 55, the direction sensor 56, etc. is acquired and output. . The sensor data is acquired as log information also after 37000 msec which is determined as measurement position information after positioning is performed.

  In the motion monitoring system 100, the satellite signal from the GPS satellite 8 is received at the start of measurement and the positioning is started (in other words, until the second time when the first positioning is successful, in other words, The position information of the first measurement position information is determined as the calculated position information based on the sensor data, and the user's waiting time is shortened by referring to it. In FIG. 7, this calculated position information is measured from 1000 msec (first time) to 36000 msec (second time) from the measurement start (first time) to the second time 37000 msec (37 seconds). An example is shown that is determined as log information up to In the mobile device 300, in the time zone where there is no measured position information (the first period described later) with respect to the log information (data) received from the wearable device 200, the calculated position information is calculated by calculating the position information from the sensor data. Update By this processing, log information is converted as shown in FIG.

  As a result, the position information before (36000 msec) before the positioning start point (37000 msec) which was unknown at the measurement start point in the wearable device 200 is updated on the log of the portable device 300 as calculated position information. It is possible to acquire log information as if positioning has succeeded from the measurement start time (1000 msec) at which the instruction has been issued.

  For example, as shown in FIG. 8, when the calculated position information in the portable device 300 can not be determined due to lack of information only at 2000 msec from the start of measurement, the log (log information) of that time is skipped ( In FIG. 8, blank spaces may be provided.

  Furthermore, when the portable device 300 is not used, that is, when the wearable device 200 and the server 400 can directly communicate, the above-described exchange can be performed by the direct communication between the wearable device 200 and the server 400. In this case, in the example in which the portable device 300 exists, the data conversion performed by the portable device 300 is performed by the server 400 or the wearable device 200. Specifically, in the server 400, post-processing positioning is first performed on log information received from the wearable device 200, and sensor data is replaced with calculated position information. Then, log information of only the converted calculated position information is stored, and used for presenting position information to the user. When the wearable device 200 performs these processes, sensor data acquired without assist information (such as Eph information) is saved as past information, and assist information (such as Eph information) is stored later. When acquisition is possible, positioning calculation is performed on sensor data in the past to obtain calculated position information.

3.2. Calculation example of movement data based on acceleration signal (acceleration data) Here, calculation example (inertial navigation) of movement data based on the acceleration signal (acceleration data) measured by the acceleration sensor 55 will be described with reference to FIG. 9 and FIG. explain.

  In the calculation example of the speed in this example, the position, velocity, and movement of the user for each predetermined time Δt (for example, one second) using the inputted acceleration signal (acceleration data) measured by the acceleration sensor 55 Calculate position information including distance. That is, the calculation example of the speed in this example is a process of calculating a predetermined parameter while the user is using the wearable device 200. In the present embodiment, the exercise of the exercise performed by the user wearing the wearable device 200 is performed. In the process, the measurement of position information is performed periodically and continuously.

  Specifically, as shown in FIGS. 9 and 10, based on the acceleration signal measured by the acceleration sensor 55, the period of the arm swinging motion of the user is determined. FIG. 9 and FIG. 10 show an example of the waveform of the measurement signal of the acceleration sensor 55 with time on the horizontal axis. However, although the acceleration sensor 55 outputs a measurement signal indicating the value of each axis component (αx, αy, αz) of three axes (X axis, Y axis, Z axis), in FIGS. 9 and 10, each axis The magnitude of the vector obtained by combining the components, that is, the magnitude of the acceleration is taken as the measurement value on the vertical axis. In the present embodiment, the wearable device 200 is attached to an arm at a site to which the wearable device 200 is attached. Therefore, as shown in FIG. Changes in the value appear as measured values.

The acceleration signal is subjected to low-pass filter processing to obtain a filtered acceleration signal from which high frequency components as noise components have been removed, and the first-order differential processing is applied to the filtered acceleration signal to obtain the time of the filtered acceleration signal. A jerk signal representing a change is obtained. Next, a zero cross point (point where the value becomes zero) C ₀ which changes from negative value to positive value before and after this signal waveform of the jerk signal is detected, and between two consecutive zero cross points C ₀ Period is one cycle of the user's arm swing operation. Then, a point on the signal waveform of the filter after the acceleration signal at the time of each zero-crossing point C _0, as the reference point C ₂ of the cycle of the arm swinging motion.

Subsequently, as shown in FIG. 10, in the signal waveform of the filtered acceleration signal, the difference from the value of the reference point C ₂ of each cycle to the peak value immediately after that is determined, and the amplitude A _mp of the filtered acceleration signal Do. Then, the speed V can be obtained according to the estimation formula shown in the following formula (1).

式（１）において、ａ₁は係数であり、例えば、０．１〜０．２程度の値に定められる。

In the formula (1), a ₁ is a coefficient, for example, is determined to a value of about 0.1 to 0.2.

Using the speed V determined in this manner and the yaw angle ψ calculated based on the triaxial angular velocities (ωx, ωy, ωz) which are measurement values of the angular velocity sensor 58, the following equation (2) is obtained. The velocity components V _x and V _y , the position components P _x and P _y , and the movement distance D are calculated according to the calculation formula. The velocity components V _x and V _y and the position components P _x and P _y are, respectively, velocity and position components in the X-axis and Y-axis directions on the ground plane. Here, "speed" is a meaning that includes both direction and speed, and can also be referred to as a velocity vector. "Speed" is the distance traveled per unit time and is the speed. The X axis and the Y axis can be defined as, for example, a direction along the X axis direction as the north-south direction and the Y axis direction as the east-west direction. Therefore, “velocity component V _x ” means the velocity in the X axis direction, and “velocity component V _y ” means the velocity in the Y axis direction. Therefore, "speed V" can be said to mean the size of "speed".

式（２）において、“Ｆ_c，Ｆ_s”は、それぞれ、ヨー角ψの、Ｘ軸方向成分（＝ｓｉｎψ）、および、Ｙ軸方向成分（＝ｃｏｓψ）に対して、ローパスフィルター処理を行った値である。“ｄｔ”は、この処理において位置情報の計測を行う時間間隔Δｔに相当する時間である。“Ｐ_x0，Ｐ_y0，Ｄ₀”は、それぞれ、直前（つまり、時間Δｔだけ過去の計測時刻）に計測した位置情報に含まれる、位置成分Ｐ_x，Ｐ_y、移動距離Ｄ、である。

In Equation (2), “F _c , F _s ” respectively apply low-pass filter processing to the X-axis direction component (= sin ψ) and Y-axis direction component (= cos ψ) of the yaw angle ψ Value. “Dt” is a time corresponding to a time interval Δt at which position information measurement is performed in this process. “P _x0 , P _y0 , D ₀ ” are position components P _x , P _y and a movement distance D, respectively, included in position information measured immediately before (that is, measurement time past by time Δt).

In such processing, the velocity components V _x and V at each measurement time t for each predetermined time Δt calculated using measurement data (acceleration and angular velocity) of the acceleration sensor 55 and the angular velocity sensor 58 of the wearable device 200 Data including _y , position components P _x and P _y , yaw angle, moving distance D, and the like can be used as sensor data.

  The sensor data can be calculated using the acceleration sensor 55 and the azimuth sensor 56 instead of the method using the acceleration sensor 55 and the angular velocity sensor 58. In this case, information on the direction is obtained from the direction sensor 56, and information on the speed is obtained from the acceleration sensor 55.

3.3. Calculation of Movement Trajectory in Movement Monitoring System and Display Example Next, calculation of a movement trajectory of the user in the movement monitoring system 100 and a display example will be described with reference to FIGS. 11, 12 and 13.

  In the wearable device 200 that calculates the position of the user, it takes time to receive the satellite signal from the GPS satellite 8 and start positioning at the start of measurement, resulting in a period in which positioning calculation can not be performed. As shown in FIG. 11, since there is no position information between the first time when the measurement is started and the second time when the positioning calculation is started, it is not possible to record the movement locus. In FIG. 11, this interval is indicated by a two-dot chain line. Between the second time when the positioning calculation is started and the measurement end, recording of the movement trajectory using the positioning data at multiple points in time including the third time that is later than the second time (indicated by the dotted line in the figure Show).

  Here, in the motion monitoring system 100, based on the acceleration signal (acceleration data) measured by the acceleration sensor 55, from the first time, which is a period in which the positioning calculation can not be performed, to the second time when the positioning calculation is started. Then, sensor data representing relative movement information representing relative movement in a predetermined direction accompanying movement of the user is calculated. FIG. 12 shows sensor data representing the calculated relative movement information. The sensor data shown in FIG. 12 is calculated as a relative movement trajectory because the absolute position is unknown.

  Then, when the satellite signal from the GPS satellite 8 is received and positioning is started, measurement is started as shown in FIG. 13 by moving the sensor data in accordance with the position of the initial position calculated. The movement locus from the first time to the second time when the positioning calculation is started can be traced back and recorded and displayed.

3.4. Transmission / reception of data in the exercise monitoring system Next, the timing (sequence) of exchange of data (sensor data, position information, etc.) between devices constituting the exercise monitoring system 100 will be described with reference to FIGS. 14 and 15. .

  Communication timings in the wearable device 200, the portable device 300, and the server 400 that constitute the motion monitoring system 100 are performed at timings as shown in FIG. The communication timing here is started when the user instructs the wearable device 200 to start measurement, and the wearable device 200 starts acquiring satellite signals from the GPS satellites 8.

  As shown in FIG. 15, in the first period from the measurement start until the first positioning succeeds, in other words, the first measurement position information is determined, as shown in FIG. 15, the first measurement time Sensor data at (the first time) is generated, and thereafter generation of sensor data until the second measurement time, the third measurement time,..., And the n-th measurement time is continued. Then, in the second period between the time when the first positioning is successful (the second time) and an instruction to finish the measurement, the measurement position information is determined as the first positioning position data, and thereafter Measurement position information is determined as positioning position data until an instruction to finish measurement is given at the second measurement time, the third measurement time (third time),. At this time, sensor data may be generated at the same time.

  Although not shown, the wearable device 200 (control unit 90) acquires GPS assist information including orbit information (satellite orbit information) indicating the position of the GPS satellite 8 on the orbit from the satellite signal from the GPS satellite 8. You may

  After the measurement is completed, the wearable device 200 transmits sensor data in the first period and measurement position information in the second period to the portable device 300, as shown in FIG. In addition, the wearable device 200 transmits GPS assist information to the mobile device 300.

  The portable device 300 performs positioning calculation based on the received sensor data in the first period and the measurement position information in the second period, and determines the calculated position information as the position information in the first period. That is, the portable device 300 determines the calculated position information in the first period as the past position information which is traced back from the time when the first positioning is successful (when the first measurement position information is determined).

  As described above, the portable device 300 is configured using the sensor data calculated from the measurement data acquired by the acceleration sensor 55 and the angular velocity sensor 58 (the orientation sensor 56) included in the body motion sensor unit 170 of the wearable device 200. Calculated position information corresponding to a period of 1 is determined. Therefore, even when the wearable device 200 and the portable device 300 are not connected by the network NE at the start of measurement, it is possible to determine the calculated position information using the sensor data acquired by the wearable device 200 during that time, Presentation of location information in one period can be performed reliably and time efficiently.

  The portable device 300 transmits, to the server 400, the calculated position information in the determined first period and the measurement position information in the second period in which the position measurement is performed in the wearable device 200. The server 400 updates and stores (stores) the calculated position information transmitted from the mobile device 300 and the measured position information.

  When the user tries to confirm a movement trajectory in exercise, the position information is acquired from the server 400 and downloaded to the wearable device 200. Then, since the user can visually confirm the movement history plotted on the map displayed on the display unit 50 of the wearable device 200 as a movement locus, it becomes easy to grasp the results of running and walking.

  Specifically, when the user wants to confirm the movement locus (position information) in the exercise, the instruction of the confirmation is issued from the operation unit 130 of the wearable device 200 or the like. The wearable device 200 that has received the instruction requests the mobile device 300 for the position information. The portable device 300 that has received the request transmits the calculated position information in the first period and the measurement position information in the second period to the server 400 as the updated position information. The portable device 300 transmits the received calculated position information in the first period and the measured position information in the second period to the wearable device 200.

  The wearable device 200 causes the display unit 50 to display movement trajectory information (position information) relating to the exercise of the user based on the received calculated position information in the first period and the measurement position information in the second period. Then, the user can visually confirm the movement trajectory information (position information) from the start of measurement to the end of measurement from the display of the display unit 50.

  In addition, although the case where a user performs confirmation of the movement trace (position information) in exercise | movement by the wearable apparatus 200 was demonstrated above, it does not restrict to this. For example, the user can check the movement locus (position information) in exercise with the notification unit 290 (display unit 291) of the portable device 300.

3.5. Operation Procedure of Exercise Monitoring System Next, an example of the operation procedure of the exercise monitoring system 100 will be described with reference to FIG. 16 and FIG. FIG. 16 is a flowchart illustrating an example of an acquisition procedure of position information (log information) at the start of measurement. FIG. 17 is a flowchart illustrating an example of a determination procedure of calculated position information based on sensor data. The following description will be made using the same reference numerals as the components of the motion monitoring system 100 described above.

  The operation procedure of the exercise monitoring system 100 according to the embodiment is, as shown in FIG. 16, from the step of instructing measurement start from the user (step S101), the measurement of the step of instructing measurement termination from the user (step S118) It is executed along the procedure up to the step of outputting the calculated position information and the measured position information (step S120), which is performed based on the end instruction. Hereinafter, steps will be described according to the flowchart of FIG.

  First, the user operates the operation unit 130 of the wearable device 200, and upon starting the exercise of itself, instructs the wearable device 200 to start measurement according to the movement monitoring associated therewith (step S101). The control unit (CPU) 90 of the wearable device 200 that has received the instruction to start measurement receives the satellite signal from the GPS satellite 8 and also includes the acceleration sensor 55, the angular velocity sensor 58, and the direction sensor included in the body motion sensor unit 170. Acquire 56 measurement data. Then, based on the acquired measurement data, sensor data is generated until the first positioning (to be described later) succeeds (step S108: Yes) (step S102).

  The control unit (CPU) 90 determines whether the number of GPS satellites 8 exceeds the required number (whether or not the required number or more) from the received satellite signals (step S104). Here, when it is determined that the number of satellites is equal to or more than the necessary number (step S104: Yes), the generated sensor data is transmitted to the portable device 300. The processing unit 230 of the portable device 300 stores the transmitted sensor data in the storage unit 240 (step S106). Note that the way of storing sensor data in step S106 differs depending on the state of resources such as the capacity of the storage unit 240. For example, when resources can be used abundantly, they may be unconditionally stored, or if there is a restriction on the use of resources, even if storage conditions within a range where predetermined calculated position information can be determined are set. Good.

  If it is determined in step S104 that the number of satellites is not the required number or more (step S104: No), the sensor data up to that point is stored in the storage unit 240 (step S116), and the series of procedures is ended.

  Next, the control unit (CPU) 90 determines whether or not the first positioning has succeeded (step S108). Note that “whether or not the first positioning has succeeded” may be reworded as “whether or not the first measurement position information has been determined”. If it is determined that the first positioning has succeeded (step S108: Yes), the control unit (CPU) 90 continues positioning thereafter and determines the positioning result as measurement position information for the second period (step S110). ). Then, the control unit (CPU) 90 transmits the determined measurement position information to the portable device 300. When it is determined in step S108 that the first positioning is not successful (step S108: No), the sensor data up to that point is stored in the storage unit 240 (step S116), and the series of procedures is ended.

  After the measurement position information of the second period is transmitted, the processing unit 230 of the portable device 300 determines whether or not there is past sensor data in the storage unit 240 (step S112), and there is past sensor data In the case (step S112: Yes), the calculated position information is determined as the position information of the first period from the sensor data of the past and the measured position information at least at the time when the positioning was started (the second time) S114). Preferably, the calculated position information is determined with the first measurement position information (first measured position information) at the second time as an initial position. Here, the determination of the calculated position information may be performed retroactively from the time when the positioning is started (the second time), or conversely, the time when the acquisition of the sensor data is started (the first time) It may go toward the time (2nd time) side from which positioning was started.

  In addition, in step S112, when there is no past sensor data (step S112: No), a series of procedures are ended.

  Here, the determination of the calculated position information in step S114 can be performed according to the procedure shown in the flowchart of FIG. First, satellite time information is acquired (step S201). The satellite time information here is information acquired as accurate time information if positioning is possible, and satellite time information already acquired in positioning can be used.

  Next, the control unit (CPU) 230 of the portable device 300 determines whether or not there is sensor data in the past in the storage unit 240 (step S203), as in step S112 in the flowchart of FIG. In step S203, when there is sensor data in the past (step S203: Yes), the process proceeds to a procedure for determining calculated position information as position information of the first period from sensor data in the past, and there is no sensor data in the past In the case (step S203: No), the series of procedures is ended.

  In the procedure for determining the calculated position information (step S114), first, the satellite orbit information acquisition time (T1) of the satellite orbit information is determined from the satellite orbit information and satellite time information of all the received GPS satellites 8 (step S205) ). Next, the position of the GPS satellite 8 at the time of acquisition of the determined satellite orbit information (T1) and the moving speed are determined (step S207). Next, positioning calculation is performed based on the satellite orbit information, the position of the GPS satellites 8, and the moving speed, and the calculated position information corresponding to the sensor data is determined (step S209). Next, the calculated position information is updated to the storage unit 240 (step S211). Then, steps S205 to S211 are repeated until no sensor data exists in the storage unit 240 (step S203: No), and calculated position information for each sensor data is determined. The calculated position information can be determined by the above procedure.

  Next, the processing unit 230 determines whether or not there is a measurement termination instruction from the user (step S118), and when there is a measurement termination instruction (step S118: Yes), the calculated position information in the first period The measurement position information in the second period is output (step S120), and the series of procedures is ended. In addition, when there is no instruction | indication of measurement completion (step S118: No), it returns to step S114 which determines calculation positional information from the past sensor data, and continues a process.

  The calculated position information in the first period and the measurement position information in the second period, which are output by the processing unit 230, are transmitted to the wearable device 200 and displayed on the display unit 50, or displayed on the display unit 291 of the portable device 300. It can be displayed and presented to the user.

  According to such an operation procedure of the exercise monitoring system, the processing unit 230 is a sensor related to the user's exercise measured from the first time output from the first communication unit 80 to the second time. The calculated position information of the user from the first time to the second time is output using the data and the measurement position information of the user at the third time later than the second time or the second time. Therefore, even if the network NE is not connected between the first time and the second time, network communication becomes possible when the user finishes exercise and network communication becomes possible or during exercise. Calculating position information using sensor data related to the user's movement measured during that time, and determining position information prior to determination of the user's measurement position information at the second time it can. In other words, it is possible to determine the calculated position information as position information (position) retroactively before the measurement position information is determined.

  Note that the calculated position information can also be obtained as calculated position information with improved accuracy by using the barometric pressure sensor (not shown) provided in the wearable device 200 in combination in the determination of the calculated position information in step S114.

  According to the exercise monitoring system 100 described above, the portable device 300 as an information processing apparatus uses the sensor data on the user's exercise measured by the wearable device 200 between the first time and the second time. The processing unit 230 determines the calculated position information as the position information corresponding to the period from the first time to the second time. Therefore, between the first time and the second time, even if the wearable device 200 and the portable device 300 or the server 400 are not connected by the network NE, the user ends the exercise and network communication becomes possible. When network communication becomes possible during or exercise, the sensor data and measurement position information acquired by the wearable device 200 are transmitted to the portable device 300, and the calculated position information is calculated using the sensor data in the portable device 300. It can be decided. Thereby, the measurement of the user at a plurality of times including the calculated position information as position information between the first time and the second time, and the second time and the third time which is a later time of the second time Position information can be determined and output. In this manner, in the exercise monitoring system 100, position information between the first time and the second time can be determined prior to the determination of the measurement position information of the user at the second time. In other words, it is possible to determine the calculated position information as position information (position) retroactively before the measurement position information is determined.

  In addition, by using the first measurement position information (first measurement position information) as the initial position, it is possible to set an accurate initial position, so shortening of the time for positioning and movement by the user's movement It is possible to accurately calculate and present the position (movement trajectory) of the hour.

4. Modified Example of Wearable Device Next, a modified example relating to the configuration of the wearable device included in the exercise monitoring system 100 will be described with reference to FIG. FIG. 18 is a block diagram showing a modification relating to the configuration of the wearable device. In the present description, the same components as those of the above-described embodiment are denoted by the same reference numerals, and the description thereof is omitted. The wearable device 200a according to the modification is an example of an exercise monitoring device.

  The wearable device 200a as an exercise monitoring device has, as its functional configuration, as shown in FIG. 18, an optical sensor unit 40, an operation unit 130, a GPS 160, a body movement sensor unit 170, a storage unit 340, a display unit 350, A communication unit 380 and a CPU 390 are included. The wearable device 200a differs from the above-described embodiment in the configuration of the CPU 390. The CPU 390 includes a first processing unit 190 and a second processing unit 330. The light sensor unit 40 includes a light receiving unit 140 and a light emitting unit 150, and the body movement sensor unit 170 includes an acceleration sensor 55, an azimuth sensor 56, and an angular velocity sensor (gyro sensor) 58.

  The first processing unit 190 drives the light sensor unit 40 and measures a pulse wave, drives the display unit 350, drives the body movement sensor unit 170, detects body movement information, and controls the GPS 160. Control circuit such as Further, the first processing unit 190 determines the first measurement position information from the start of measurement (first time) by the operation of the operation unit 130 based on the plurality of satellite signals acquired by the GPS 160 (second The sensor data generation unit 95 generates sensor data in the first period up to the time). Further, the first processing unit 190 performs positioning calculation based on a plurality of satellite signals acquired by the GPS 160, and determines measurement position information in a second period from the first determination of measurement position information to the end of measurement. Have the ability to

  The second processing unit 330 performs calculation processing of the position based on the measurement information and the position information generated by the first processing unit 190, and the measurement position information acquisition unit 233, the calculation position information determination unit 235, and the output unit Contains 237. The second processing unit 330 performs various signal processing and control processing, for example, using the storage unit 340 as a work area, and can be realized by, for example, a processor such as a CPU or a logic circuit such as an ASIC. Note that the second processing unit 330 detects the position of the user during a period from the start of measurement to the start of positioning of the GPS 160 (first period) from the start of measurement instructed by the user to the end of measurement. Inferred from the data, calculate the calculated position information, start GPS positioning, and store in the storage unit 240 together with the measured position information in the second period from the determination of the measured position information by the first positioning to the end of the measurement , And instructs to transmit to another information processing device.

  The measurement position information acquisition unit 233 is based on the measurement position information and time information in the second period calculated by the GPS 160, or based on the azimuth information and the elevation information acquired by the azimuth sensor 56 or the atmospheric pressure sensor (not shown). Generate current position information and movement trajectory information of the user. The measurement position information acquisition unit 233 can store the generated current position information and movement trajectory information in the storage unit 340 or use it as display data of the display unit 350.

  The calculation position information determination unit 235 determines calculation position information calculated as position information to replace the measurement position information of the user corresponding to the first period based on the sensor data in the first period. The calculated position information determining unit 235 stores the determined calculated position information as log information for each elapsed time in the storage unit 340 together with current position information and movement trajectory information generated by the measurement position information acquiring unit 233, or the display unit 350. And display data. The calculated position information determination unit 235 performs positioning calculation on the sensor data. The positioning calculation is the same as that in the above-described embodiment, and thus detailed description will be omitted.

  The output unit 237 calculates the calculated position information in the first period determined by the calculated position information determination unit 235, and the measured position information and movement trajectory information in the second period acquired by the measurement position information acquiring unit 233, to the server 400. Etc. to other information processing apparatus.

  According to the wearable device 200a as such an exercise monitoring device, sensor data in the first period from the measurement start (first time) to the determination of the first measurement position information (second time) is used. Thus, the CPU 390 as a processing unit can determine the calculated position information as position information corresponding to the first period. Therefore, presentation of position information in the first period can be performed in a short time without being influenced by the network connection at the start of measurement.

  Further, the determination of the measurement position information in the second period and the determination of the calculation position information corresponding to the first period are performed separately for the first processing unit 190 and the second processing unit 330, Processing speed can be increased to reduce user latency.

  Note that as the processing timing of the positioning calculation described above, the method of determining the calculation position information little by little is applied to the time zone where the processing is relatively open, and the calculation position information of a relatively large amount of calculation By performing the determination process, it is possible to reduce the possibility of interfering with normal (real-time) positioning calculation. In addition, when transitioning to the measurement end state, the method of determining the calculation position information is applied, and the calculation position information determination process having a relatively large amount of calculation is performed, so that normal (real time ) It is possible to reduce the possibility of interfering with the positioning calculation.

  In addition, using a portable device equipped with a plurality of processing units (CPUs), each processing is performed by processing normal (real-time) positioning calculation and calculation processing information determination processing by different CPUs. It is possible to reduce the trouble caused by the overlapping.

  In addition, in the exercise monitoring system 100, after acquiring data such as position information measured by the wearable device 200, or at any time during acquisition of data, the mobile device 300 is updated as log information. Then, in the portable device 300, the acquired information is updated as it is to the server 400 and saved as log information, but it can be saved as in the second modification according to position information (log information) shown below. .

5. Modification 2 according to storage of position information (log information)
Hereinafter, with reference to FIG. 19, a second modification relating to storage of position information (log information) will be described. FIG. 19 is a list showing, in chronological order, Modification 2 according to storage of position information (log information) after conversion processing. The second modified example related to storage of position information (log information) shows an example in the case where it is not possible to temporarily determine measurement position information using a GPS signal while the user is exercising.

  Here, FIG. 19 shows the state of log information for each elapsed time from the start of measurement (first time). Then, from the wearable device 200, sensor data and measurement position information are output. In the example shown in FIG. 19, positioning starts from 20000 msec (the first time) from the start of measurement as the point of time when the first positioning is successful, and the first measurement position information is determined. Then, after the first measurement position information is determined, the measurement position information is determined as log information until 27000 msec from the measurement start, but from 28000 msec to 36000 msec after the measurement start, GPS signals are used It is not possible to determine the actual measurement position information.

  While this measurement position information can not be determined, sensor data generated from measurement data by the acceleration sensor 55 or the angular velocity sensor 58 is acquired and output from 1000 msec to 19000 msec and from 28000 msec to 36000 msec. It is done. Thereafter, when the measurement start time is 37000 msec (second time), positioning using the GPS signal starts again, and a plurality of measurement position information is determined thereafter. Sensor data is acquired as log information even while positioning is performed and determined as measurement position information.

  Even if it is a method like modification 2 concerning preservation of such position information (log information), the same effect as an above-mentioned embodiment can be produced.

  Further, in the above-described embodiment, the GPS using the GPS satellite 8 is described as an example of the position information satellite provided to the Global Navigation Satellite System (GNSS), but this is merely an example. Global navigation satellite systems include other systems such as Galileo (EU), GLONASS (Russia), Hokuto (China), and geolocation satellites that transmit satellite signals such as geostationary satellites such as SBAS and quasi-zenith satellites What is necessary. That is, the wearable device 200, 200a processes any radio wave (radio signal) from position information satellites including satellites other than the GPS satellites 8, any one of date information, time information, position information and velocity information May be acquired. The global navigation satellite system can be a regional navigation satellite system (RNSS).

  DESCRIPTION OF SYMBOLS 8 ... GPS Satellite, 21 ... 1st housing, 22 ... 2nd housing, 30 ... Housing, 35 ... Module board | substrate, 40 ... Optical sensor part, 41 ... Circuit board, 50 ... Display part, 55 ... Acceleration sensor, 56 ... Orientation Sensor 58 angular velocity sensor (gyro sensor) 63 measurement position information determination unit 65 GPS antenna 66 signal processing unit 67 CPU 80 first communication unit 90 control unit (CPU) DESCRIPTION OF SYMBOLS 100 ... Motion monitoring system, 130 ... Operation part, 140 ... Light reception part, 150 ... Light emission part, 160 ... GPS, 170 ... Body movement sensor part, 180 ... Storage part, 200, 200a ... Wearable apparatus, 230 ... Processing part, 233 ... Measured position information acquisition unit, 235 ... Calculated position information decision unit, 237 ... Output unit, 240 ... Storage unit, 280 ... Second communication unit, 290 ... Knowledge unit, 291 ... display unit, 292 ... vibrating unit, 295 ... communication unit, 300 ... mobile device as an information processing apparatus, 400 ... server (information processing apparatus as another example), NE ... network.

Claims (12)

An exercise monitoring system comprising: a wearable device worn by a user and measuring an exercise of the user; and an information processing apparatus capable of communicating with the wearable device,
The wearable device is
A sensor unit that outputs sensor data regarding the motion of the user measured between the first time and the second time;
A position measurement unit that outputs measurement position information of the user at a second time or a third time later than the second time;
A first communication unit that communicates the sensor data and the measurement position information to the information processing apparatus;
The information processing apparatus is
A second communication unit that acquires the sensor data and the measurement position information from the wearable device;
A processing unit that determines the calculated position information of the user between the first time and the second time using the sensor data and the measurement position information. The sensor data is relative movement information indicating relative movement in a predetermined direction along with movement of the user.
The exercise monitoring system according to claim 1, characterized in that: The sensor unit includes an acceleration sensor.
The exercise monitoring system according to claim 1 or 2, characterized in that: The sensor unit includes a gyro sensor or an orientation sensor.
The exercise monitoring system according to claim 3, characterized in that: The position measurement unit uses the signals from the satellites of the positioning satellite system to determine measurement position information that is the current location of the user,
The exercise monitoring system according to any one of claims 1 to 4, characterized in that: The processing unit determines the calculated position information which is the position of the user at the second time from the first time using the sensor data, using the measurement position information as an initial position.
The exercise monitoring system according to any one of claims 1 to 5, characterized in that: The processing unit determines at least one of a moving distance of the user and a pace from the first time to the second time using the sensor data.
The exercise monitoring system according to any one of claims 1 to 6, characterized in that: The information processing apparatus has a display unit.
The display unit displays the measurement position information and the calculated position information on a map.
The exercise monitoring system according to any one of claims 1 to 7, characterized in that: The wearable device has a display unit.
The display unit displays the measurement position information and the calculated position information on a map.
The exercise monitoring system according to any one of claims 1 to 7, characterized in that: An exercise monitoring method for monitoring position information of a user during exercise, comprising:
The first communication unit is
Sensor data relating to the user's movement measured between a first time and a second time;
Outputting the measured position information of the user at a second time or a third time later than the second time;
The processing unit is
Outputting the calculated position information of the user between the first time and the second time using the sensor data and the measurement position information;
Exercise monitoring method characterized by It is a program to monitor the position information of the user during exercise, and
Outputting sensor data related to the user's movement measured between a first time and a second time;
Outputting the measurement position information of the user at a second time or a third time later than the second time;
Communicating the sensor data and the measured position information;
Acquiring the sensor data and the measurement position information;
Determining the calculated position information of the user between the first time and the second time using the acquired sensor data and the measured position information;
Outputting the measurement position information together with the calculated position information;
A program characterized by including: An exercise monitoring device for monitoring position information of the user during exercise, comprising:
A sensor unit that outputs sensor data regarding the motion of the user measured between the first time and the second time;
A position measurement unit that outputs measurement position information of the user at a second time or a third time later than the second time;
A processing unit that determines the calculated position information of the user between the first time and the second time using the sensor data and the measurement position information;
An exercise monitoring device comprising:

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