JP2019122729A - Data analysis device, data analysis method and program - Google Patents

Abstract

To further readily select a plurality of analysis means such as an analysis module related to sports, for example.SOLUTION: An analysis device 1 includes: an analysis module group 54 to be a plurality of analyses; and a selection part 52. The analysis module group 54 to be a plurality of analyses each performs different data analyses by analyzing sensor data. The selection part 52 selects any one of analysis means from the plurality of analysis means based on data different from the sensor data.SELECTED DRAWING: Figure 3

Description

  The present invention relates to a data analysis device, a data analysis method, and a program.

BACKGROUND In recent years, a sensing technology has been used which can measure a three-dimensional movement of a user's body by a sensor worn by the user during exercise such as running. In addition, based on the movement of the user measured by the sensing technology, various analyzes for the purpose of health support, sport support, life action support, etc. are performed.
Such sensing technology and analysis technology are disclosed, for example, in Patent Document 1.

JP, 2015-178026, A

  As mentioned above, sensing and analysis are used in various applications. Therefore, various analysis modules specialized for various applications are used to perform sensing and analysis. For example, when sports are taken as an example, various analysis modules such as an analysis module for golf, an analysis module for tennis, and an analysis module for running are used according to applications.

If a plurality of analysis modules can be mounted on one device and the plurality of analysis modules can be used properly, analysis of various applications can be performed with one device.
However, in order to use these plural analysis modules properly, it is necessary for the user to perform an operation of selecting an optimum module. Alternatively, it is necessary to select an optimal module by operating each analysis module and analyzing the operation result.
In other words, it is not easy to use multiple analysis modules properly.

  The present invention has been made in view of such a situation, and an object thereof is to more simply select a plurality of analysis means, such as an analysis module for sports.

In order to achieve the above object, a data analysis device according to an aspect of the present invention is
A plurality of analysis means each performing different data analysis by analyzing sensor data;
Selection means for selecting any one of the plurality of analysis means based on data different from the sensor data;
And the like.

  According to the present invention, a plurality of analysis means, such as an analysis module for sports, can be selected more simply.

It is a schematic diagram which shows the whole structure of the analysis system which concerns on each embodiment of this invention. It is a block diagram which shows the structure of the hardware of the analyzer which concerns on each embodiment of this invention. It is a functional block diagram which shows the functional structure for performing a sports analysis process among the functional structures of the analysis apparatus of FIG. In 1st Embodiment, it is a flowchart explaining the flow of the sports analysis processing which the analysis apparatus of FIG. 2 performs. In 2nd Embodiment, it is a flowchart explaining the flow of the sports analysis processing which the analysis apparatus of FIG. 2 performs.

  Hereinafter, embodiments of the present invention will be described using the drawings. In the following, two embodiments of the first embodiment and the second embodiment will be described in order.

Here, each embodiment is to select an appropriate analysis module from a plurality of analysis modules without requiring a user's selection operation or the like. Specifically, the first embodiment is an embodiment in which an analysis module is selected based on position information. The second embodiment is an embodiment in which an analysis module is selected by cooperating with a plurality of devices.
In the following description of each embodiment, different points will be described in detail, but overlapping descriptions will be omitted for points common to each embodiment.

First Embodiment
[System configuration]
FIG. 1 is a system configuration diagram showing the configuration of an analysis system S according to an embodiment of the present invention.
As shown in FIG. 1, the analysis system S includes an analysis device 1 and a smartphone 2. Further, the analysis device 1 and the smartphone 2 are communicably connected by wireless communication. This wireless communication may conform to any standard. For example, this wireless communication is realized by wireless communication compliant with Bluetooth (registered trademark) low energy (hereinafter, referred to as "BLE").

  The analysis device 1 is attached to a user who is a measurement target (hereinafter, simply referred to as “user”), senses the movement of the user, and acquires sensor information. Then, the analysis device 1 performs analysis based on the acquired sensor information. At this time, the analysis apparatus 1 selects an appropriate analysis module from a plurality of analysis modules provided by itself based on conditions different from the sensed sensor information. Then, when analysis is performed using the selected analysis module, the analysis device 1 transmits the analysis result to the smartphone 2.

  The smartphone 2 notifies the user of the analysis result received from the analysis device 1 by displaying the analysis result on a display, for example. The user can grasp the analysis result regarding his / her movement by referring to this notification.

Thus, the analysis device 1 selects an optimal analysis module without requiring the user to select an analysis module. Further, in this case, as a pre-stage for selecting an optimal module, each analysis module is operated, the operation result is analyzed, and a complicated process of selecting an optimum module is not required.
That is, in the present embodiment, it is possible to more simply select a plurality of analysis means, such as an analysis module related to sports.

[Hardware configuration]
Next, the hardware configuration of the analysis device 1 will be described with reference to FIG. FIG. 2 is a block diagram showing the hardware configuration of the analysis device 1.
The analysis device 1 includes, for example, various sensors that detect the movement of the measurement target, and is configured as a wearable terminal worn on the user's waist or the user's arm.

  As shown in FIG. 2, the analysis device 1 includes a central processing unit (CPU) 11, a read only memory (ROM) 12, a random access memory (RAM) 13, a bus 14, an input / output interface 15, and a sensor. A unit 16, an input unit 17, an output unit 18, a storage unit 19, a communication unit 20, a positioning unit 21, and a drive 22 are provided. A removable medium 100 made of a semiconductor memory or the like is attached to and detached from the drive 22.

  The CPU 11 executes various processes in accordance with a program stored in the ROM 12 or a program loaded from the storage unit 19 into the RAM 13.

  Data and the like necessary for the CPU 11 to execute various processes are also stored in the RAM 13 as appropriate.

  The CPU 11, the ROM 12 and the RAM 13 are connected to one another via a bus 14. An input / output interface 15 is also connected to the bus 14. A sensor unit 16, an input unit 17, an output unit 18, a storage unit 19, a communication unit 20, a positioning unit 21, and a drive 22 are connected to the input / output interface 15.

  Although not illustrated, the sensor unit 16 includes various sensors. For example, the sensor unit 16 includes an acceleration sensor that measures acceleration in three axial directions orthogonal to one another, an angular velocity sensor that measures angular velocities in three axial directions orthogonal to one another, a pulse sensor that measures a pulse of the user, and respiration of the user. And a respiration sensor for measuring the number, the depth, and the speed. The sensor unit 16 samples the measurement results of these sensors every preset sampling period (for example, 0.1 seconds).

  Data of measurement values generated by sampling (hereinafter, referred to as “sensor data”) are stored in the storage unit 19 in association with data of measurement time. Further, the sensor data and the data of the measurement time are not only stored in the storage unit 19 but also appropriately supplied to the CPU 11 and the like. The sensor unit 16 may further include another sensor. For example, a three-axis geomagnetic sensor measuring the magnitude of geomagnetism in three axial directions orthogonal to one another, a barometric pressure sensor measuring barometric pressure to obtain a height difference, or a living body for measuring biological information other than pulse and respiration A sensor or the like may further be provided.

  The input unit 17 includes various buttons and the like, and inputs various information in accordance with a user's instruction operation.

  The output unit 18 includes a lamp, a display, a speaker, a vibration motor, and the like, and outputs an image, a sound, or a vibration signal. The functions of the input unit 17 and the output unit 18 may be integrally configured by a touch panel.

  The storage unit 19 is formed of a semiconductor memory such as a flash memory and stores various data. For example, the storage unit 19 stores map information for use in sports analysis processing described later, and various data for realizing an analysis module for performing analysis.

  The communication unit 20 communicates with another device (for example, the smartphone 2) by wireless communication conforming to the BLE or Wi-Fi standard or wired communication using a cable conforming to the USB (Universal Serial Bus) standard. Control the communication performed by The communication unit 20 may have a function of performing communication by a plurality of communication methods.

  The positioning unit 21 is configured of, for example, a module for positioning such as a GPS (Global Positioning System) module. The positioning unit 21 measures the current position of the analysis device 1 and generates data (hereinafter, referred to as “positioned position data”) indicating the measured position. The generated positioning position data is stored in the storage unit 19 in association with the data of the positioning time. Further, the positioning position data and the data of the positioning time are not only stored in the storage unit 19 but also appropriately supplied to the CPU 11 and the like. Note that the current position of the analysis device 1 measured in this manner corresponds to the current position of the user who uses the analysis device 1.

  The drive 22 is configured by an interface capable of detaching the removable medium 100. The removable medium 100 made of a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory or the like is appropriately attached to the drive 22. The removable medium 100 stores a program for executing sport analysis processing described later, and various data for realizing an analysis module for performing analysis. Various data such as programs read out from the removable medium 100 by the drive 22 are installed in the storage unit 19 as necessary.

  As mentioned above, although the structure of the analysis apparatus 1 was demonstrated, this structure is an example to the last. For example, an acceleration sensor, an angular velocity sensor, a pulse sensor, a respiration sensor, and other sensors described as being included in the sensor unit 16 may be realized by an external sensor provided outside the analysis device 1. In this case, the analysis device 1 may acquire the sensor data generated by sampling the measurement result of the external sensor through communication by the communication unit 20.

Further, the functions of the input unit 17 and the output unit 18 may be realized by the smartphone 2, and the communication between the smartphone 2 and the communication unit 20 may transmit and receive input information and output information.
The hardware configuration of the smartphone 2 is well known to those skilled in the art, and thus the description thereof is omitted here.

[Functional configuration]
FIG. 3 is a functional block diagram showing a functional configuration for executing a sport analysis process among the functional configurations of the analysis device 1 of FIGS. 1 and 2.
The sports analysis process refers to a series of processes for selecting an analysis module under predetermined conditions and analyzing sensor data by the selected analysis module.

When the sports analysis process is executed, as shown in FIG. 3, the selection data acquisition unit 51, the selection unit 52, the sensor data acquisition unit 53, and the analysis module group 54 function. Further, the analysis module group 54 includes a plurality of analysis modules (corresponding to the golf analysis module 541 to the general-purpose analysis module 54 m in the drawing). In the following description, each analysis module included in the analysis module group 54 is simply referred to as an “analysis module” when it is collectively described without distinction.
Further, in one area of the storage unit 19, a map information storage unit 61 and a cooperation information storage unit 62 are set.

  The map information storage unit 61 is map information, and particularly stores map information on locations of facilities, buildings, natural environments, and the like related to sports. For example, sports related facilities, buildings, natural environments, etc., such as golf courses, golf driving ranges, tennis fields, baseball fields, football fields, running fields, swimming pools, beaches, and ski fields. Position data (hereinafter referred to as "facility position data") indicating the position is stored.

  The facility position data stored in the map information storage unit 61 is in a format that can be compared with the positioning position data measured by the positioning unit 21. For example, if the positioning unit 21 performs positioning based on GPS, the facility position data stored in the map information storage unit 61 has the same format as position coordinates based on GPS.

  The cooperation information storage unit 62 stores information related to cooperation with an analysis device other than the analysis device 1. In addition, cooperation with other analysis devices is a process exclusively related to the second embodiment. Therefore, to avoid redundant description with the second embodiment, further description is omitted here, and information stored in the cooperation information storage unit 62 will be described later as the description of the second embodiment.

  Each piece of information stored in the map information storage unit 61 or the linkage information storage unit 62 may be stored only in the storage unit 19, but may be stored in the removable medium 100 by the drive 22 as appropriate. .

  The selection data acquisition unit 51 acquires data for selecting an analysis module. In the present embodiment, the selection unit 52 described later selects an analysis module using positioning position data indicating the current position of the analysis apparatus 1 (that is, the current position of the user). Therefore, the selection data acquisition unit 51 acquires, from the positioning unit 21, positioning position data generated by the positioning unit 21 performing positioning. The selection data acquisition unit 51 outputs the acquired positioning position data to the selection unit 52.

  The selection unit 52 is an analysis used for analysis based on the positioning position data acquired by the selection data acquisition unit 51 and the facility position data indicating the position of a facility such as a golf course stored in the map information storage unit 61. Select a module For example, the selection data acquisition unit 51 collates the positions indicated by the positioning position data and the facility position data. And when the position which each of positioning position data and plant | facility position data shows corresponds, the analysis module of the sport performed in the plant | facility which the matched plant | facility position data show is selected from the analysis module group 54. FIG.

For example, the selection unit 52 is an analysis module corresponding to golf, which is a sport to be performed at a golf course when the positioning position data and the facility position data corresponding to the golf course coincide with each other. The analysis module 541 is selected from the analysis module group 54.
Then, the selection unit 52 notifies the analysis module group 54 of the type of the selected analysis module.

  When the analysis module is selected by the selection unit 52, if the positioning position data and the facility position data corresponding to a certain facility (for example, a golf course) coincide with each other, the user selects the analysis module. Because the user is present in the area, it is likely based on the idea that the user is likely to play sports (eg, golf) corresponding to this certain facility.

  The sensor data acquisition unit 53 acquires sensor data used by the analysis module selected by the selection unit 52 for analysis from each sensor included in the sensor unit 16. Also, the sensor data acquisition unit 53 outputs the acquired sensor data to the analysis module group 54.

  In addition, sensor data used for performing analysis may differ for every analysis module. In this case, the selection unit 52 may notify the sensor data acquisition unit 53 of the type of the selected analysis module. Then, the sensor data acquisition unit 53 may acquire sensor data corresponding to the notified analysis module.

  The analysis module group 54 includes a plurality of analysis modules. Here, in the present embodiment, as an example, the analysis module group 54 includes a golf analysis module 541, a tennis analysis module 542, ..., a running analysis module 54n (n is an arbitrary natural number), and a general analysis module 54m ( m = n + 1). Here, the golf analysis module 541, the tennis analysis module 542, ..., and the running analysis module 54n are analysis modules specialized for each sport. Also, on the other hand, the general analysis module 54m is an analysis module that is generally used for many sports.

  The golf analysis module 541, the tennis analysis module 542, ..., and the running analysis module 54n respond to themselves based on sensor data input from the sensor data acquisition unit 53 when selected from the selection unit 52. Perform appropriate analysis according to each sport. In addition, when the selection unit 52 does not select any analysis module, the general-purpose analysis module 54m performs general-purpose analysis corresponding to many sports based on sensor data input from the sensor data acquisition unit 53. I do.

  For example, the golf analysis module 541 is an analysis module specialized for golf, and performs an analysis appropriate for golf. Specifically, the golf analysis module 541 uses, as sensor data, the direction of gravity detected by the three-axis acceleration sensor and the inclination angle detected by the three-axis geomagnetic sensor as the reference; Acquire the tilt angle and the rotation angle around the vertical axis.

  In addition, the golf analysis module 541 detects the timing of a predetermined characteristic point in the golf swing based on the acquired sensor data. For example, the golf analysis module 541 analyzes the acquired sensor data, and detects the timing of the address, top, downswing, impact, and follow points in the golf swing. Then, the golf analysis module 541 analyzes the golf swing of the user based on the sensor data at each detected timing.

  Also, for example, the tennis analysis module 542 is an analysis module specialized for tennis, and performs appropriate analysis according to tennis. Specifically, similar to the golf analysis module 541, the tennis analysis module 542 detects the timing of each swing such as a serve or a smash in tennis based on sensor data. Then, the tennis analysis module 542 analyzes the tennis swing of the user based on the sensor data at each detected timing.

  Also, for example, the analysis module group 54 n is an analysis module specialized for running, and performs appropriate analysis according to running. Specifically, the analysis module group 54 n detects a pitch which is the number of steps of the user in running based on the sensor data. Further, the analysis module group 543 calculates the stride by dividing the distance traveled by the user during the fixed time by the pitch of the user at the fixed time. Further, the analysis module group 543 identifies the direction of the gravitational acceleration based on the acceleration measured by the acceleration sensor, for example, and calculates the shake of the body axis based on the inclination angle with respect to the gravitational acceleration.

  On the other hand, the general-purpose analysis module 54m is an analysis module generally used for many sports. For example, the user's exercise amount is calculated based on sensor data, and analysis of consumed calories based on the calculated exercise amount is performed. Do. As described above, the general-purpose analysis module 54m is not specialized in analysis of a swing motion of a specific sport, but can analyze the sport in a general-purpose manner.

  In addition, each analysis module may perform analysis based on sensor data such as biological information of the user, for example. For example, analysis based on user's heart rate and biological information such as blood pressure may be performed. Further, the analysis module in the present embodiment is an example for explanation and analysis corresponding to other sports. A module may be included. For example, analysis modules corresponding to cycling, surfing, swimming, snowboarding, skiing, climbing, trekking, etc. may be included.

  The golf analysis module 541, the tennis analysis module 542, ..., and the general-purpose analysis module 54m output the analysis result to the user. This output is realized by, for example, display on a display included in the output unit 18 or output of sound from a speaker included in the output unit 18. Alternatively, it is realized by transmission to another device (for example, the smartphone 2) via the communication unit 20 and output by the other device. Also, the analysis result may be stored in the storage unit 19, the removable medium 100, or the storage unit of another device (for example, the smartphone 2) as appropriate.

[Sport analysis processing]
FIG. 4 is a flowchart for explaining the flow of the sports analysis process performed by the analysis device 1. The sports analysis process refers to a series of processes for selecting an analysis module under predetermined conditions and analyzing sensor data by the selected analysis module.
The sport analysis process is started by the start operation of the sport analysis process on the input unit 17 by the user.

  In step S11, the selection data acquisition unit 51 acquires positioning position data generated by the positioning unit 21 performing positioning.

  In step S12, the selection unit 52 uses an analysis module used for analysis based on the positioning position data acquired by the selection data acquisition unit 51 and the facility position data of each facility stored in the map information storage unit 61. Make a decision to make a selection. The selection is performed by comparing the positioning position data with the facility position data as described above.

In step S12, when the positioning position data and the facility position data corresponding to the golf course or the golf driving range match, it is determined as "golf", and the process proceeds to step S13-1. Then, in step S13-1, the selection unit 52 selects the golf analysis module 541.
In step S12, when the positioning position data and the facility position data corresponding to the tennis court match, it is determined as "tennis", and the process proceeds to step S13-2. Then, in step S13-2, the selection unit 52 selects the tennis analysis module 542.
In step S12, when the positioning position data matches the facility position data corresponding to the running course, it is determined to be "running", and the process proceeds to step S13-n. Then, in step S13-3n, the selection unit 52 selects the running analysis module 54n.
In step S12, in the case where the positioning position data and the facility position data of any facility do not match, it is determined as "unclassified", and the process proceeds to step S13-m. Then, in step S13-m, the selection unit 52 selects the general-purpose analysis module 54m.

  In step S14, the analysis module group 54 determines whether a predetermined sports analysis module is selected. If any one of steps S13-1 to S13-n is performed and a predetermined sports analysis module is selected, it is determined as Yes in step S14, and the process proceeds to step S15. Then, in step S15, the selected analysis module included in the analysis module group 54 performs analysis based on the sensor data input from the sensor data acquisition unit 53. The output and the like of the analysis result performed after the analysis are as described above with reference to FIG. Then, the sport analysis process ends.

  On the other hand, when step S13-m is performed and neither sports analysis module is selected, it is determined as No in step S14, and the process proceeds to step S16. Then, in step S16, the general-purpose analysis module 54m performs analysis based on the sensor data input from the sensor data acquisition unit 53. The output and the like of the analysis result performed after the analysis are as described above with reference to FIG. Then, the sport analysis process ends.

According to the sports analysis process described above, the analysis apparatus 1 selects the optimal analysis module without requiring the user to select the analysis module. Further, in this case, as a pre-stage for selecting an optimal module, each analysis module is operated, the operation result is analyzed, and a complicated process of selecting an optimum module is not required.
That is, the analysis device 1 can more easily select a plurality of analysis means, such as an analysis module related to sports.

Second Embodiment
[System configuration]
Next, a second embodiment will be described. Note that, as described above, the description common to the first embodiment and the second embodiment is omitted. For example, in the second embodiment, the basic configuration of the entire configuration of the analysis system S, the hardware configuration of the analysis apparatus 1 included in the analysis system S, and the configuration of the functional blocks are described above. Since this embodiment is in common with the embodiment, the redundant description will be omitted.

  On the other hand, the present embodiment is different from the first embodiment in that an analysis module is selected by the cooperation of a plurality of analysis apparatuses 1. And in order to perform this cooperation, a plurality of analysis devices 1 are included in analysis system S in this embodiment.

[Functional configuration]
Further, in the present embodiment, the operations of the selection data acquisition unit 51 and the selection unit 52 are different from those of the first embodiment.
As a premise for describing the selection data acquisition unit 51 and the selection unit 52, the information stored in the cooperation information storage unit 62 shown in FIG. 3 will be described. In the present embodiment, each analysis device 1 is associated with a predetermined sport in advance according to an operation or the like using the input unit 17 by the user. For example, "tennis" is associated with identification information of each analysis device 1 used by each member belonging to the same tennis circle as a predetermined sport. Then, the associated information is stored, for example, in the form of a table or the like in the collaboration information storage unit 62 as collaboration information.

  Then, the selection data acquisition unit 51 acquires, as data for selection for selecting an analysis module, identification information of another analysis device 1 that has become a communication partner, instead of the positioning data.

  In addition, the selection unit 52 refers to the linkage information stored in the linkage information storage unit 62, whereby a predetermined information associated with the identification information of the other analysis apparatus 1 acquired by the selection data acquisition unit 51 is obtained. Identify the sport. Furthermore, the selection unit 52 selects an analysis module corresponding to the specified predetermined sport. For example, when the selection data acquisition unit 51 acquires the identification information of the other analysis device 1, if the identification information of the other analysis device 1 and the tennis are associated in the cooperation information, the selection unit 52 selects the tennis analysis module 542;

The selection of the analysis module by the selection unit 52 is performed in a predetermined sport (for example, tennis) with this member if it is possible to communicate with the analysis device 1 of the member who always performs a predetermined sport (for example, tennis). Based on the idea that they are likely to In addition, for example, when performing communication with distant analysis devices 1 via a network etc. which omitted illustration, the possibility that predetermined sports are performed is not high. Therefore, it is desirable to apply this embodiment, for example, when performing direct communication with another analyzer 1 by a method such as near field communication.
The functions of the functional blocks other than the selection data acquisition unit 51 and the selection unit 52 are the same as in the first embodiment, and thus the description thereof is omitted.

[Sport analysis processing]
FIG. 5 is a flow chart for explaining the flow of sports analysis processing performed by the analysis device 1 in the present embodiment. As in the first embodiment, the sport analysis process refers to a series of processes for selecting an analysis module under predetermined conditions and analyzing sensor data by the selected analysis module.
The sport analysis process is started by the start operation of the sport analysis process on the input unit 17 by the user.

  In step S21, the communication unit 20 communicates with the other analyzer 1 to receive identification information of the other analyzer 1. The selection data acquisition unit 51 acquires identification information of the other analysis apparatus 1.

  In step S22, the selection unit 52 is an analysis module used for analysis based on the identification information of the other analysis apparatus 1 acquired by the selection data acquisition unit 51 and the cooperation information stored in the cooperation information storage unit 62. Make a decision to select As described above, the selection is performed by collating the identification information of the other analysis apparatus 1 with the linkage information and collating them.

In step S22, when the identification information of the other analysis device 1 acquired in step S21 is associated with golf, it is determined as "golf", and the process proceeds to step S23-1. Then, in step S23-1, the selection unit 52 selects the golf analysis module 541.
In step S22, when the identification information of the other analysis device 1 acquired in step S21 is associated with tennis, it is determined as "tennis", and the process proceeds to step S23-2. Then, in step S23-2, the selection unit 52 selects the tennis analysis module 542.
In step S22, when the identification information of the other analysis device 1 acquired in step S21 is associated with running, it is determined to be "running", and the process proceeds to step S23-n. Then, in step S23-3n, the selection unit 52 selects the running analysis module 54n.
In step S22, when the identification information of the other analysis device 1 acquired in step S21 is not associated with any predetermined sports, it is determined as "unclassified", and the process proceeds to step S23-m. Then, in step S23-m, the selection unit 52 selects the general-purpose analysis module 54m.

  The subsequent steps S24, S25, and S26 are the same processes as steps S14, S15, and S16 described above with reference to FIG.

According to the sports analysis process in the second embodiment described above, the same effect as the sports analysis process in the first embodiment can be obtained.
That is, also in the present embodiment, the analysis apparatus 1 selects an optimal analysis module without requiring the user to select an analysis module. Further, in this case, as a pre-stage for selecting an optimal module, each analysis module is operated, the operation result is analyzed, and a complicated process of selecting an optimum module is not required.
That is, also in the present embodiment, the analysis device 1 can more easily select a plurality of analysis means, such as an analysis module related to sports.

[Modification]
Note that the present invention is not limited to the above-described embodiments, and modifications, improvements, and the like as long as the object of the present invention can be achieved are included in the present invention.

  For example, in the above-described first embodiment, the selection unit 52 selects the analysis module based on the positioning position data and the facility position data (hereinafter, “selection method in the first embodiment” Called). Further, in the above-described second embodiment, the selection unit 52 selects the analysis module based on the identification information of the other analysis device 1 and the linkage information (hereinafter, “the second embodiment It is called "selection method".

  The selection method in these two embodiments may be combined without being limited to this. This makes it possible to improve the accuracy of selecting an appropriate analysis module. In this case, for example, when the analysis module selected by the selection method in the first embodiment matches the analysis module selected by the selection method in the second embodiment, the selection unit 52 matches. An analysis module may be selected.

In addition, when the analysis modules selected by the selection method in the two embodiments do not match, the selection unit 52 may not select the analysis module, and the selection method in any of the embodiments. The analysis module selected in may be preferentially selected.
Furthermore, if selection is attempted by the selection method in one of the embodiments and no analysis module can be selected, selection may be performed by the selection method in the other embodiment.

  As another modification, the analysis module may be selected by a selection method in which the selection method in each embodiment is further changed. For example, based on the positioning position data acquired by the selection data acquisition unit 51, the selection unit 52 may calculate the moving speed of the analysis device 1 (a user who uses the analysis device). Then, the selecting unit 52 may select the running analysis module 54 n when the moving speed is within a predetermined speed range that allows the user to run.

  Further, as another modification, for example, when the selection data acquisition unit 51 communicates with the other analysis device 1 by communication using the communication unit 20, the sports analysis performed by the other analysis device 1 Information indicating the type or the type of analysis module selected by another analysis apparatus 1 may be acquired. Then, the other analysis device is selected based on the information indicating the type of sports analyzed by the other analysis device 1 or the type of analysis module selected by the other analysis device 1 by the selection unit 52. The analysis module for analyzing the same sport as 1 may be selected.

  Moreover, although the analysis module was prepared for every sport in each above-mentioned embodiment as another modification, you may make it prepare the analysis module further subdivided. For example, when the sport is baseball, an analysis module that analyzes the batter swing of the batter and an analysis module that analyzes the pitching of the pitcher may be prepared. Then, for example, when the analysis device 1 (ie, the user) is located in the batter box based on the positioning position data, the selection unit 52 selects an analysis module that analyzes the batter swing. May be In addition, the selection unit 52 may select an analysis module that analyzes the pitching when the analysis apparatus 1 (that is, the user) is positioned on the pitcher mound based on the positioning position data. .

  Further, as another modification, in the above-described second embodiment, it is assumed to cooperate with another analysis device 1, but by linking with another device or device other than the other analysis device 1, the analysis module The selection may be made. For example, the function of transmitting beacon information may be added to a golf club or a tennis racket, and the analysis module may be selected by cooperating with the golf club or the tennis racket that transmits the beacon information. In this case, for example, when receiving the beacon information transmitted by the golf club, the selection unit 52 selects the golf analysis module 541. In addition, the selection unit 52 selects the tennis analysis module 542 when it receives beacon information transmitted by the tennis club.

  In this case, the beacon may further include, for example, information indicating any of the driver, the iron, and the putter by the golf club. Then, the selection unit 52 may select an analysis module suitable for each of the case of receiving the beacon information transmitted by the driver and the case of receiving the beacon information transmitted by the putter.

  Furthermore, although the case where the analysis apparatus 1 is used for the application which analyzes a sport was mentioned as an example and demonstrated as an example of other modifications in the above-mentioned each embodiment, it does not restrict to this but it is about other actions other than sports. The analysis device 1 may be used for the purpose of performing behavior analysis.

[Example of configuration]
The analysis device 1 configured as described above includes an analysis module group 54 and a selection unit 52.
The analysis module group 54 includes a plurality of analysis modules that analyze different data by analyzing sensor data.
The selection unit 52 selects any analysis module from the analysis module group 54 including a plurality of analysis modules based on data different from the sensor data.

Thereby, the analysis apparatus 1 selects the optimal analysis module without requiring the user to select the analysis module. Further, in this case, as a pre-stage for selecting an optimal module, each analysis module is operated, the operation result is analyzed, and a complicated process of selecting an optimum module is not required.
That is, the analysis device 1 can more easily select a plurality of analysis means, such as an analysis module related to sports.

  For example, it is necessary to operate each analysis module as a preliminary step to select an optimal module, and not only a complicated program is required to analyze the operation result, but also the amount of calculation increases. Do. On the other hand, since the analysis apparatus 1 does not require such processing, not only the complicated program is unnecessary but also the amount of calculation can be reduced. Therefore, it is also possible to reduce power consumption by reducing the amount of calculation in the analysis device 1.

The analysis device 1 further includes a selection data acquisition unit 51.
The selection data acquisition unit 51 acquires the current position of the analysis device 1.
The selection unit 52 selects an analysis module to analyze a predetermined sport from the analysis module group 54 including a plurality of analysis modules when the acquired current position corresponds to a place where a predetermined sport is to be performed. Do.
Thereby, the analysis device 1 can select an analysis module corresponding to a sport assumed to be performed by the user according to the current position.

When the obtained current position is a position corresponding to a golf course or a golf driving range, the selection unit 52 selects a golf analysis module from the analysis module group 54 including a plurality of analysis modules.
Thus, the analysis device 1 can select an analysis module corresponding to golf for a user who is assumed to play golf, which is located at a golf course or a golf driving range.

When the obtained current position is a position corresponding to the tennis court, the selection unit 52 selects a tennis analysis module from among the analysis module group 54 including a plurality of analysis modules.
As a result, the analysis device 1 can select an analysis module corresponding to tennis for a user who is assumed to play tennis, which is located in a tennis court.

The selection data acquisition unit 51 acquires the moving speed of the analysis device 1.
When the acquired moving speed is in a predetermined speed range, the selecting unit 52 selects a running analysis module from the analysis module group 54 including a plurality of analysis modules.
Thereby, the analysis device 1 can select an analysis module corresponding to running for a user who is assumed to perform running, which moves in a predetermined speed range.

The selection data acquisition unit 51 acquires information indicating the type of data analysis analyzed by the other analysis device 1 from the other analysis device 1.
The selection unit 52 selects, from the analysis module group 54 including a plurality of analysis modules, an analysis module that analyzes data indicated by the acquired information indicating the type of data analysis.
Accordingly, the analysis device 1 can select an analysis module corresponding to the same sport as that analyzed by another analysis device 1 used by another user, which is considered to be performing the same sport with the user.

The selection data acquisition unit 51 acquires identification information of the other analysis device 1 from the other analysis device 1.
The selection unit 52 selects, from the analysis module group 54 including a plurality of analysis modules, an analysis module that analyzes data associated with another analysis device 1 specified by the acquired identification information.
Accordingly, the analysis device 1 can select an analysis module corresponding to a sport associated with another analysis device 1 used by another user, which is considered to be performing the same sport with the user.

The selection data acquisition unit 51 receives beacon information corresponding to the type of data analysis.
The selection unit 52 selects an analysis module that performs data analysis corresponding to the received beacon information from the analysis module group 54 including a plurality of analysis modules.
Thereby, when the analysis device 1 receives beacon information transmitted by a predetermined sports apparatus (for example, a golf club) or the like, an analysis module corresponding to a sport (for example, golf) corresponding to the predetermined sports apparatus is selected. It can be selected.

The analysis device 1 is a wearable terminal worn by a measurement target performing sports,
The measurement target further includes a sensor unit 16 that generates sensor data by performing measurement on the measurement target when the analyzer 1 is attached.
As a result, the analysis device 1 can be used by being carried by the user and can generate sensor data corresponding to the movement of the user's body or the like.

As described above, in the above-described embodiment, the analysis apparatus 1 to which the present invention is applied is described as an example of a wearable terminal shaped to be attached to a user's arm or torso, but it is not particularly limited thereto .
The present invention can be applied to electronic devices in general having a function of utilizing sensor data of a sensor. Specifically, for example, according to the present invention, a wearable terminal of another shape (for example, a shape of a wristwatch type or a shape of glasses) to be attached to a user's arm or torso, a smartphone, a portable navigation device, It is applicable to a portable game machine etc.

  In the above-described embodiment, the analysis device 1 is assumed to be realized by a single device, but the analysis device 1 may be realized by cooperation of a plurality of devices.

The series of processes described above can be performed by hardware or software.
In other words, the functional configuration of FIG. 3 is merely an example and is not particularly limited. That is, it is sufficient if the analysis device 1 has a function capable of executing the above-described series of processes as a whole, and what functional block is used to realize this function is not particularly limited to the example of FIG.
Further, one functional block may be configured by hardware alone, may be configured by software alone, or may be configured by a combination of them.

  The functional configuration in the present embodiment is realized by a processor that executes arithmetic processing, and the processors that can be used in the present embodiment include various processing devices such as a single processor, a multiprocessor, and a multi-core processor alone. In addition to the above, those including various processing devices and processing circuits such as an application specific integrated circuit (ASIC) and a field-programmable gate array (FPGA) are included.

When the series of processes are executed by software, a program that configures the software is installed on a computer or the like from a network or a recording medium.
The computer may be a computer incorporated in dedicated hardware. The computer may be a computer capable of executing various functions by installing various programs, for example, a general-purpose personal computer.

  A recording medium including such a program is not only configured by the removable medium 100 of FIG. 2 distributed separately from the apparatus main body to provide the program to the user, but also the user in a state incorporated in advance in the apparatus main body The recording medium etc. provided to The removable medium 100 is made of, for example, a magnetic disk (including a floppy disk), an optical disk, or a magneto-optical disk. The optical disc is composed of, for example, a CD-ROM (Compact Disk-Read Only Memory), a DVD (Digital Versatile Disk), a Blu-ray (registered trademark) Disc (Blu-ray Disc), or the like. The magneto-optical disk is configured by an MD (Mini-Disk) or the like. Further, the recording medium provided to the user in a state of being incorporated in the apparatus main body is constituted by, for example, the ROM 12 of FIG. 2 in which the program is recorded, the flash memory included in the storage unit 19 of FIG. .

  In the present specification, in the step of describing the program to be recorded on the recording medium, the processing performed chronologically along the order is, of course, parallel or individually not necessarily necessarily chronologically processing. It also includes the processing to be performed.

  While some embodiments of the present invention have been described above, these embodiments are merely illustrative and do not limit the technical scope of the present invention. The present invention can take other various embodiments, and furthermore, various changes such as omissions and substitutions can be made without departing from the scope of the present invention. These embodiments and modifications thereof are included in the scope and the gist of the invention described in the present specification, etc., and are included in the invention described in the claims and the equivalent scope thereof.

The invention described in the claims at the beginning of the application of the present application is appended below.
[Supplementary Note 1]
A plurality of analysis means each performing different data analysis by analyzing sensor data;
Selection means for selecting any one of the plurality of analysis means based on data different from the sensor data;
Data analysis device equipped with
[Supplementary Note 2]
It further comprises position acquisition means for acquiring the current position of the data analysis device;
The selection means selects an analysis means for analyzing the predetermined sport from the plurality of analysis means when the acquired current position corresponds to a place where a predetermined sport is to be performed. The data analysis device according to claim 1, characterized by.
[Supplementary Note 3]
The selection means selects a golf analysis means from among the plurality of analysis means when the acquired current position is a position corresponding to a golf course or a golf driving range. Data analysis device.
[Supplementary Note 4]
The data analysis according to appendix 2 or 3, wherein the selection means selects tennis analysis means from among the plurality of analysis means when the acquired current position is a position corresponding to a tennis court. apparatus.
[Supplementary Note 5]
It further comprises speed acquisition means for acquiring the movement speed of the data analysis device;
The method according to any one of appendices 1 to 4, characterized in that the selection means selects a running analysis means from the plurality of analysis means when the acquired moving speed is in a predetermined speed range. Data analysis device.
[Supplementary Note 6]
The information acquisition means for acquiring information indicating the type of data analysis to be analyzed by the other data analysis device from the other data analysis device;
The method according to any one of appendices 1 to 5, characterized in that the selection means selects, from the plurality of analysis means, analysis means for performing data analysis indicated by the acquired information indicating the type of the data analysis. Data analysis device.
[Supplementary Note 7]
The other device identification information acquisition unit for acquiring identification information of the other data analysis device from the other data analysis device;
The selection unit is characterized by selecting, from the plurality of analysis units, an analysis unit that performs data analysis associated with another data analysis apparatus specified by the acquired identification information. The data analysis device according to any one of 6.
[Supplementary Note 8]
A beacon information receiving unit for receiving beacon information corresponding to the type of data analysis;
The data analysis device according to any one of appendices 1 to 7, characterized in that the selection means selects an analysis means for performing data analysis corresponding to the received beacon information from the plurality of analysis means. .
[Supplementary Note 9]
The data analysis device is a wearable terminal worn by the measurement target,
The data analysis according to any one of appendices 1 to 8, further comprising a sensor that generates the sensor data by performing measurement on the measurement object when the measurement object is attached to the data analysis device. apparatus.
[Supplementary Note 10]
A data analysis method performed by the data analysis device,
Multiple analysis steps, each analyzing different data by analyzing sensor data;
A selection step of selecting any one of the plurality of analysis means based on data different from the sensor data;
Analysis method equipped with
[Supplementary Note 11]
On the computer
Multiple analysis functions that analyze different data by analyzing sensor data
A selection function of selecting any one of the plurality of analysis means based on data different from the sensor data;
A program that is characterized by realizing

  DESCRIPTION OF SYMBOLS 1 ... Analysis device, 11 ... CPU, 12 ... ROM, 13 ... RAM, 14 ... Bus, 15 ... Input-output interface, 16 ... Sensor part, 17 ... Input unit, 18 ... output unit, 19 ... storage unit, 20 ... communication unit, 21 ... positioning unit, 22 ... drive, 51 ... selection data acquisition unit, 52 · · · Selection unit 53 Sensor data acquisition unit 54 Analysis module group 541 Golf analysis module 542 Tennis analysis module 54 n Running analysis module 54 m General purpose Analysis module, 61: Map information storage unit, 62: Cooperation information storage unit, 100: Removable media

Claims (11)

A plurality of analysis means each performing different data analysis by analyzing sensor data;
Selection means for selecting any one of the plurality of analysis means based on data different from the sensor data;
Data analysis device equipped with It further comprises position acquisition means for acquiring the current position of the data analysis device;
The selection means selects an analysis means for analyzing the predetermined sport from the plurality of analysis means when the acquired current position corresponds to a place where a predetermined sport is to be performed. The data analysis apparatus according to claim 1, characterized in that:   The said selection means selects a golf-analysis means from said several analysis means, when the acquired present position is a position corresponding to a golf course or a golf driving range, It is characterized by the above-mentioned. Data analysis device.   The data according to claim 2 or 3, wherein the selection means selects tennis analysis means from among the plurality of analysis means when the acquired current position is a position corresponding to a tennis court. Analysis device. It further comprises speed acquisition means for acquiring the movement speed of the data analysis device;
The said selection means selects a running analysis means from said several analysis means, when the acquired moving speed is a predetermined | prescribed speed range, in any one of the Claims 1 thru | or 4 characterized by the above-mentioned. Data analysis device as described. The information acquisition means for acquiring information indicating the type of data analysis to be analyzed by the other data analysis device from the other data analysis device;
6. The apparatus according to any one of claims 1 to 5, wherein the selection means selects, from the plurality of analysis means, analysis means for performing data analysis indicated by information indicating the type of the data analysis acquired. Data analysis device described in. The other device identification information acquisition unit for acquiring identification information of the other data analysis device from the other data analysis device;
The selection means is characterized in that, among the plurality of analysis means, an analysis means for performing data analysis associated with another data analysis apparatus specified by the acquired identification information is selected. The data analysis device according to any one of items 1 to 6. A beacon information receiving unit for receiving beacon information corresponding to the type of data analysis;
The data according to any one of claims 1 to 7, wherein the selection means selects an analysis means for performing data analysis corresponding to the received beacon information from the plurality of analysis means. Analysis device. The data analysis device is a wearable terminal worn by the measurement target,
The sensor according to any one of claims 1 to 8, further comprising a sensor that generates the sensor data by performing measurement on the measurement object when the measurement object is attached to the data analysis device. Data analysis device. A data analysis method performed by the data analysis device,
Multiple analysis steps, each analyzing different data by analyzing sensor data;
A selection step of selecting any one of the plurality of analysis means based on data different from the sensor data;
Analysis method equipped with On the computer
Multiple analysis functions that analyze different data by analyzing sensor data
A selection function of selecting any one of the plurality of analysis means based on data different from the sensor data;
A program that is characterized by realizing

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