JP7052369B2 - Data analysis device, data analysis method and program - Google Patents

Description

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

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

Japanese Unexamined Patent Publication No. 2015-178026

As mentioned above, sensing and analysis are used in various applications. Therefore, various analysis modules specialized for various uses are used for sensing and analysis. For example, in the case of sports 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 depending on the application.

If these plurality of analysis modules are mounted on one device and these plurality of analysis modules can be used properly, one device can perform analysis for various purposes.
However, in order to properly use these plurality of analysis modules, it is necessary for the user to perform an operation of selecting the optimum module. Alternatively, it is necessary to operate each analysis module and analyze the operation result to select the optimum module.
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 of the present invention is to more easily select a plurality of analysis means such as an analysis module related to sports.

In order to achieve the above object, the data analysis device according to the present invention is registered in advance in association with the current position specifying means for specifying the current position of the user and the current position of the user specified by the current position specifying means. While selecting the first analysis module that performs motion analysis specialized for the pre-registered sport based on the output data from the predetermined sensor attached to the user when there is a sport, the said General-purpose motion analysis is performed based on output data from a predetermined sensor mounted on the user when none of the sports is registered in advance in association with the current position of the user specified by the current position specifying means. It is characterized by comprising a selection means for selecting a second analysis module to be performed .
Further, the data analysis method according to the present invention is a data analysis method executed by the data analysis apparatus, and is a current position specifying process for specifying the current position of the user and the current position of the user specified by the current position specifying process. First analysis that performs motion analysis specialized for the pre-registered sport based on the output data from the predetermined sensor attached to the user when there is a pre-registered sport associated with the position. While selecting the module, the output data from the predetermined sensor attached to the user when none of the sports is registered in advance in association with the current position of the user specified in the current position identification process. It is characterized by including a selection process for selecting a second analysis module that performs general-purpose motion analysis based on the above.
Further, in the program according to the present invention, the computer of the data analysis device is registered in advance in association with the current position specifying means for specifying the current position of the user and the current position of the user specified by the current position specifying means. While selecting the first analysis module that performs motion analysis specialized for the pre-registered sport based on the output data from the predetermined sensor attached to the user when there is a sport, the present Performs general-purpose motion analysis based on output data from a predetermined sensor mounted on the user when none of the sports is registered in advance in association with the current position of the user specified by the position specifying means. It is characterized in that it functions as a selection means for selecting a second analysis module.

According to the present invention, it is possible to more easily select a plurality of analysis means such as an analysis module related to sports.

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 hardware structure of the analysis apparatus which concerns on each embodiment of this invention. Among the functional configurations of the analysis device of FIG. 2, it is a functional block diagram which shows the functional configuration for executing a sports analysis process. In the first embodiment, it is a flowchart explaining the flow of the sports analysis process performed by the analysis apparatus of FIG. In the second embodiment, it is a flowchart explaining the flow of the sports analysis process performed by the analysis apparatus of FIG.

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

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

<First Embodiment>
[System configuration]
FIG. 1 is a system configuration diagram showing a 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 connected to each other so as to be communicable by wireless communication. This wireless communication may be compliant with 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 device 1 selects an appropriate analysis module from a plurality of analysis modules provided by the analysis device 1 based on conditions different from the sensed sensor information. Then, when the analysis device 1 performs the analysis 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, for example, by displaying it on a display. By referring to this notification, the user can grasp the analysis result regarding his / her movement.

In this way, the analysis device 1 selects the optimum analysis module without requiring the user to select the analysis module. Further, in this case, as a preliminary step for selecting the optimum module, complicated processing such as operating each analysis module, analyzing the operation result, and selecting the optimum module is not required.
That is, in the present embodiment, it is possible to more easily 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 a hardware configuration of the analyzer 1.
The analysis device 1 includes, for example, various sensors for detecting the movement of the measurement target, and is configured as a wearable terminal worn on the waist of the user or the arm of the user.

As shown in FIG. 2, the analyzer 1 includes a CPU (Central Processing Unit) 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, a bus 14, an input / output interface 15, and a sensor. It includes 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. A removable media 100 made of a semiconductor memory or the like is attached to or detached from the drive 22.

The CPU 11 executes various processes according to the program recorded in the ROM 12 or the 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 appropriately stored in the RAM 13.

The CPU 11, ROM 12 and RAM 13 are connected to each other via the 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 shown, the sensor unit 16 includes various sensors. For example, the sensor unit 16 includes an acceleration sensor that measures acceleration in three axial directions that are orthogonal to each other, an angular velocity sensor that measures angular velocity in three axial directions that are orthogonal to each other, a pulse sensor that measures a user's pulse, and a user's breath. It is equipped with a breath sensor for measuring number, depth and speed. The sensor unit 16 samples the measurement results of these sensors every preset sampling cycle (for example, 0.1 second).

The measured value data (hereinafter referred to as “sensor data”) generated by sampling is stored in the storage unit 19 in association with the measurement time data. Further, these sensor data and measurement time data 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 3-axis geomagnetic sensor that measures the magnitude of geomagnetism in the 3-axis directions that are orthogonal to each other, a barometric pressure sensor that measures barometric pressure to obtain a height difference, and a living body for measuring biological information other than pulse and respiration. It may be further equipped with a sensor or the like.

The input unit 17 is composed of various buttons and the like, and inputs various information according to a user's instruction operation.

The output unit 18 is composed of a lamp, a display, a speaker, a vibration motor, or 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 on the touch panel.

The storage unit 19 is composed 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 analysis.

The communication unit 20 communicates with another device (for example, smartphone 2) by wireless communication compliant with a standard such as BLE or Wi-Fi, or wired communication with a cable compliant with a USB (Universal Serial Bus) standard. Controls the communication performed by. The communication unit 20 may have a function of communicating by a plurality of communication methods.

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

The drive 22 is configured by an interface on which the removable media 100 can be attached and detached. A removable media 100 made of a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is appropriately mounted on the drive 22. The removable media 100 stores various data that realize a program for executing the sports analysis process described later and an analysis module for performing the analysis. Various data such as programs read from the removable media 100 by the drive 22 are installed in the storage unit 19 as needed.

The configuration of the analysis device 1 has been described above, but this configuration is merely an example. For example, the acceleration sensor, the angular velocity sensor, the pulse sensor, the breathing sensor, and other sensors described as provided by 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 by the 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 input information and the output information may be transmitted and received by communication between the smartphone 2 and the communication unit 20.
Since the hardware configuration of the smartphone 2 is well known to those skilled in the art, the description thereof will be omitted here.

[Functional configuration]
FIG. 3 is a functional block diagram showing a functional configuration for executing a sports 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, the selection data acquisition unit 51, the selection unit 52, the sensor data acquisition unit 53, and the analysis module group 54 function as shown in FIG. 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 figure). In the following description, the analysis modules included in the analysis module group 54 are not particularly distinguished, and when they are collectively described, they are simply referred to as "analysis modules".
Further, a map information storage unit 61 and a cooperation information storage unit 62 are set in one area of the storage unit 19.

The map information storage unit 61 stores map information, which is map information about the positions of facilities, buildings, natural environments, and the like, which are particularly related to sports. For example, golf courses, driving ranges, tennis courts, baseball fields, soccer fields, running courses, pools, beaches, ski fields, and other sports-related facilities, buildings, and the natural environment. Position data indicating the position (hereinafter referred to as "facility position data") 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, when the positioning unit 21 performs positioning in accordance with GPS, the facility position data stored in the map information storage unit 61 has the same format as the position coordinates in accordance with GPS.

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

The information stored in the map information storage unit 61 and the cooperation information storage unit 62 may be stored only in the storage unit 19, but may be appropriately stored in the removable media 100 by the drive 22. ..

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

The selection unit 52 analyzes 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 for analysis. Select a module. For example, the selection data acquisition unit 51 compares the positions indicated by the positioning position data and the facility position data. Then, when the positions indicated by the positioning position data and the facility position data match, the analysis module for sports performed at the facility indicated by the matched facility position data is selected from the analysis module group 54.

For example, the selection unit 52 is an analysis module corresponding to golf, which is a sport performed at a golf course, when the positioning position data and the facility position data corresponding to the golf course match the positions indicated by the golf course. 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.

In the selection of the analysis module by the selection unit 52, when the positioning position data and the facility position data corresponding to a certain facility (for example, a golf course) match, the user can use the certain facility (for example, a golf course). ), It is based on the idea that the user is likely to be playing a sport (for example, golf) corresponding to this certain facility.

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

The sensor data used for analysis may differ for each 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 the 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-purpose analysis module 54m (n). m = n + 1) is included. Here, the golf analysis module 541, the tennis analysis module 542, ..., And the running analysis module 54n are analysis modules specialized for each sport. On the other hand, the general-purpose analysis module 54m is an analysis module that is generally used for many sports.

When the golf analysis module 541, the tennis analysis module 542, ..., And the running analysis module 54n are selected from the selection unit 52, they correspond to themselves based on the sensor data input from the sensor data acquisition unit 53. Perform appropriate analysis according to each sport. When the selection unit 52 does not select any analysis module, the general-purpose analysis module 54m is a general-purpose analysis corresponding to many sports based on the 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 appropriate analysis according to golf. Specifically, the golf analysis module 541 determines the tilt angle in the anteroposterior direction and the lateral direction of the body based on the gravity direction detected by the 3-axis acceleration sensor and the orientation detected by the 3-axis geomagnetic sensor as sensor data. Obtain the tilt angle and the rotation angle around the vertical axis.

Further, 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 each point of the address, top, downswing, impact, and follow in the golf swing. Then, the golf analysis module 541 analyzes the user's golf swing based on the sensor data at each detected timing.

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

Further, for example, the analysis module group 54n is an analysis module specialized for running, and performs appropriate analysis according to running. Specifically, the analysis module group 54n detects the 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 in a fixed time by the pitch of the user in a fixed time. Further, the analysis module group 543 specifies the direction of the gravitational acceleration based on the acceleration measured by the acceleration sensor, for example, and calculates the blur 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 that is generally used for many sports. For example, the exercise amount of the user is calculated based on the sensor data, and the calorie consumption is analyzed based on the calculated exercise amount. conduct. As described above, the general-purpose analysis module 54m is not specialized in analyzing the swing motion of a specific sport, but can perform general-purpose analysis for each sport.

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

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

[Sports analysis processing]
FIG. 4 is a flowchart illustrating a flow of sports analysis processing executed 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 sports analysis process is started by the user's operation to start the sports analysis process to the input unit 17.

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

In step S12, the selection unit 52 uses an analysis module 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 judgment for selection. As described above, the selection is made by collating and comparing the positioning position data with the facility position data.

If the positioning position data and the facility position data corresponding to the golf course or the driving range match in step S12, 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.
If the positioning position data and the facility position data corresponding to the tennis court match in step S12, 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.
If the positioning position data and the facility position data corresponding to the running course match in step S12, 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.
If the positioning position data does not match the facility position data of any facility in step S12, 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 or not a predetermined sports analysis module is selected. If any of the steps from step S13-1 to step S13-n is performed and a predetermined sports analysis module is selected, Yes is determined 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 of the analysis result, etc., which is performed after the analysis, is as described above with reference to FIG. Then, the sports analysis process ends.

On the other hand, if step S13-m is performed and none of the sports analysis modules is selected, No is determined 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 of the analysis result, etc., which is performed after the analysis, is as described above with reference to FIG. Then, the sports analysis process ends.

According to the sports analysis process described above, the analysis device 1 selects the optimum analysis module without requiring the user to select the analysis module. Further, in this case, as a preliminary step for selecting the optimum module, complicated processing such as operating each analysis module, analyzing the operation result, and selecting the 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, the second embodiment will be described. As described above, overlapping description will be omitted for the parts common to the first embodiment and the second embodiment. For example, in the second embodiment, the basic contents of the overall configuration of the analysis system S, the hardware configuration of the analysis device 1 included in the analysis system S, and the configuration of the functional block are described in the above-mentioned first embodiment. Since it is common to the embodiment, duplicate description will be omitted.

On the other hand, the present embodiment differs from the first embodiment in that the analysis module is selected by the cooperation of the plurality of analysis devices 1. Then, in order to perform this cooperation, in the present embodiment, the analysis system S includes a plurality of analysis devices 1.

[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 explaining 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 the 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 in the cooperation information storage unit 62 as cooperation information in the form of, for example, a table or the like.

Then, the selection data acquisition unit 51 acquires the identification information of the other analysis device 1 as the communication partner instead of the positioning data as the selection data for selecting the analysis module.

Further, the selection unit 52 refers to the cooperation information stored in the cooperation information storage unit 62, and is associated with the identification information of the other analysis device 1 acquired by the selection data acquisition unit 51. Identify the sport. Further, 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 with each other in the cooperation information, the selection unit 52 selects the tennis analysis module 542.

When the selection unit 52 selects the analysis module by communicating with the analysis device 1 of a member who always plays a predetermined sport (for example, tennis), the analysis module is played with this member (for example, tennis). It is based on the idea that it is likely to be there. It should be noted that, for example, when communication is performed between the analysis devices 1 in the distance via a network or the like (not shown), it is not highly likely that the predetermined sport is being performed. Therefore, it is desirable to apply this embodiment to a case where direct communication is performed with another analysis device 1 by, for example, a method such as short-range wireless communication.
Since the functions of the functional blocks other than the selection data acquisition unit 51 and the selection unit 52 are the same as those in the first embodiment, the description thereof will be omitted.

[Sports analysis processing]
FIG. 5 is a flowchart illustrating a flow of sports analysis processing executed by the analysis device 1 in the present embodiment. Similar to the first embodiment, 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 sports analysis process is started by the user's operation to start the sports analysis process to the input unit 17.

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

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

In step S22, if the identification information of the other analysis device 1 acquired in step S21 is associated with golf, it is determined to be "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, if the identification information of the other analysis device 1 acquired in step S21 is associated with tennis, it is determined to be "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, if 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, if the identification information of the other analysis device 1 acquired in step S21 is not associated with any predetermined sport, 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.

Subsequent steps S24, step S25, and step S26 are the same processes as those of step S14, step S15, and step S16 described above with reference to FIG. 4, and therefore duplicate description will be omitted.

According to the sports analysis process in the second embodiment described above, the same effect as the sports analysis process in the first embodiment is obtained.
That is, also in this embodiment, the analysis device 1 selects the optimum analysis module without requiring the user to select the analysis module. Further, in this case, as a preliminary step for selecting the optimum module, complicated processing such as operating each analysis module, analyzing the operation result, and selecting the optimum module is not required.
That is, also in this embodiment, the analysis device 1 can more easily select a plurality of analysis means such as an analysis module related to sports.

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

For example, in the above-mentioned 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"). It is called.). Further, in the second embodiment described above, the selection unit 52 selects the analysis module based on the identification information of the other analysis device 1 and the cooperation information (hereinafter, "in the second embodiment"). It is called "selection method").

The selection method is not limited to this, and the selection methods in these two embodiments may be combined. This makes it possible to improve the accuracy of selecting an appropriate analysis module. In this case, for example, the selection unit 52 matches when the analysis module selected by the selection method in the first embodiment and the analysis module selected by the selection method in the second embodiment match. You may choose the analysis module that you have selected.

Further, when the analysis modules selected by the selection methods in the two embodiments do not match, the selection unit 52 may not select the analysis module, or the selection method in any of the embodiments. The analysis module selected in step 3 may be preferentially selected.
Further, if the selection method in one of the embodiments is attempted and none of the analysis modules can be selected, the selection method in the other embodiment may be used for selection.

Further, 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, the selection unit 52 may calculate the movement speed of the analysis device 1 (the user who uses the analysis device 1) based on the positioning position data acquired by the selection data acquisition unit 51. Then, the selection unit 52 may select the running analysis module 54n when the moving speed is within a predetermined speed range which is a speed at which the user runs.

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

Further, as another modification, in each of the above-described embodiments, the analysis module is prepared for each sport, but a further subdivided analysis module may be prepared. For example, when the sport is baseball, an analysis module for analyzing the batter's swing of the batter and an analysis module for analyzing the pitching of the pitcher may be prepared. Then, for example, the selection unit 52 selects an analysis module that analyzes the batter swing when the analysis device 1 (that is, the user) is located in the batter box based on the positioning position data. You may. Further, the selection unit 52 may select an analysis module that analyzes pitching when the analysis device 1 (that is, the user) is located on the pitcher mound based on the positioning position data. ..

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

In this case, for example, the golf club may include information indicating any of the driver, the iron, and the putter in the beacon. Then, the selection unit 52 may select a suitable analysis module depending on whether the beacon information transmitted by the driver is received or the beacon information transmitted by the putter is received.

Further, as another modification, in each of the above-described embodiments, the case where the analysis device 1 is used for the purpose of performing analysis related to sports has been described as an example, but the present invention is not limited to this, and the behavior other than sports is not limited to this. The analysis device 1 may be used for the purpose of performing behavior analysis.

[Configuration example]
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, each of which analyzes different data by analyzing sensor data.
The selection unit 52 selects one of the analysis modules from the analysis module group 54 composed of a plurality of analysis modules based on the data different from the sensor data.

As a result, the analysis device 1 selects the optimum analysis module without requiring the user to select the analysis module. Further, in this case, as a preliminary step for selecting the optimum module, complicated processing such as operating each analysis module, analyzing the operation result, and selecting the 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, if each analysis module is operated as a preliminary step for selecting the optimum module, and in order to analyze the operation result, not only a complicated program is required but also the amount of calculation increases. do. On the other hand, since the analysis device 1 does not require such processing, not only a complicated program is unnecessary, but also the amount of calculation can be reduced. Therefore, it is possible to reduce the amount of calculation in the analysis device 1 and save power.

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.
When the acquired current position is a position corresponding to a place where a predetermined sport is performed, the selection unit 52 selects an analysis module for analyzing a predetermined sport from the analysis module group 54 composed of a plurality of analysis modules. do.
As a result, the analysis device 1 can select an analysis module corresponding to the sport assumed to be performed by the user according to the current position.

When the acquired current position is a position corresponding to a golf course or a driving range, the selection unit 52 selects a golf analysis module from the analysis module group 54 composed of a plurality of analysis modules.
As a result, the analysis device 1 can select an analysis module corresponding to golf for a user who is supposed to play golf and is located at a golf course or a driving range.

When the acquired current position is a position corresponding to the tennis field, the selection unit 52 selects a tennis analysis module from the analysis module group 54 composed of 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 located in the tennis field and is expected to play tennis.

The selection data acquisition unit 51 acquires the moving speed of the analysis device 1.
When the acquired movement speed is within a predetermined speed range, the selection unit 52 selects a running analysis module from the analysis module group 54 composed of a plurality of analysis modules.
As a result, the analysis device 1 can select an analysis module corresponding to running for a user who moves within a predetermined speed range and is expected to perform running.

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 an analysis module that analyzes the data indicated by the information indicating the type of acquired data analysis from the analysis module group 54 composed of a plurality of analysis modules.
As a result, the analysis device 1 can select an analysis module corresponding to the same sport as the sport analyzed by another analysis device 1 used by another user, which is considered to be playing the same sport together with the user.

The selection data acquisition unit 51 acquires the identification information of the other analysis device 1 from the other analysis device 1.
The selection unit 52 selects an analysis module that analyzes data associated with another analysis device 1 specified by the acquired identification information from the analysis module group 54 composed of a plurality of analysis modules.
As a result, 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 together with the user.

The selection data acquisition unit 51 receives the 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 composed of a plurality of analysis modules.
As a result, when the analysis device 1 receives the beacon information transmitted by a predetermined sports equipment (for example, a golf club), the analysis device 1 provides an analysis module corresponding to a sport (for example, golf) corresponding to the predetermined sports equipment. You can choose.

The analysis device 1 is a wearable terminal worn by a measurement target performing sports.
When the measurement target is equipped with the analysis device 1, the sensor unit 16 is further provided to generate sensor data by performing measurement on the measurement target.
As a result, the analysis device 1 can be carried and used by the user, and can generate sensor data corresponding to the movement of the user's body and the like.

As described above, in the above-described embodiment, the analysis device 1 to which the present invention is applied has been described as an example of a wearable terminal having a shape to be worn on a user's arm, body, or the like, but the present invention is not particularly limited thereto. ..
The present invention can be generally applied to electronic devices having a function of utilizing sensor data of a sensor. Specifically, for example, the present invention relates to a wearable terminal, a smartphone, a portable navigation device having another shape (for example, a wristwatch-shaped shape or a glasses-shaped shape) to be worn on a user's arm, body, or the like. It can be applied to portable game machines and the like.

Further, 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 the cooperation of a plurality of devices.

The series of processes described above can be executed 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 that the analysis device 1 is provided with a function capable of executing the above-mentioned series of processes as a whole, and what kind of 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 a single piece of hardware, a single piece of software, or a combination thereof.

The functional configuration in the present embodiment is realized by a processor that executes arithmetic processing, and the processor that can be used in the present embodiment is composed of various processing devices such as a single processor, a multiprocessor, and a multicore processor. In addition to the above, the present invention includes a combination of these various processing devices and a processing circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field-Programmable Gate Array).

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

The recording medium including such a program is not only composed of the removable media 100 of FIG. 2 distributed separately from the main body of the device in order to provide the program to the user, but also is preliminarily incorporated in the main body of the device of the user. It is composed of a recording medium or the like provided in. The removable media 100 is composed of, for example, a magnetic disk (including a floppy disk), an optical disk, a magneto-optical disk, or the like. The optical disc is composed of, for example, a CD-ROM (Compact Disk-Read Only Memory), a DVD (Digital Versaille Disc), a Blu-ray (registered trademark) Disc (Blu-ray disc), or the like. The magneto-optical disk is composed of MD (Mini-Disc) or the like. Further, the recording medium provided to the user in a state of being preliminarily incorporated in the apparatus main body is composed of, 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. 2, and the like. ..

In this specification, the steps for describing a program to be recorded on a recording medium are not only processed in chronological order but also in parallel or individually, even if they are not necessarily processed in chronological order. It also includes the processing to be executed.

Although some embodiments of the present invention have been described above, these embodiments are merely examples and do not limit the technical scope of the present invention. The present invention can take various other embodiments, and further, various modifications such as omission and substitution can be made without departing from the gist of the present invention. These embodiments and variations thereof are included in the scope and gist of the invention described in the present specification and the like, and are also included in the scope of the invention described in the claims and the equivalent scope thereof.

The inventions described in the claims at the time of filing the application of the present application are described below.
[Appendix 1]
Multiple analysis means that analyze different data by analyzing sensor data,
A selection means for selecting one of the analysis means from the plurality of analysis means based on data different from the sensor data, and a selection means.
Data analysis device equipped with.
[Appendix 2]
Further equipped with a position acquisition means for acquiring the current position of the data analysis device,
When the acquired current position is a position corresponding to a place where a predetermined sport is performed, the selection means selects an analysis means for analyzing the predetermined sport from the plurality of analysis means. The data analysis device according to Appendix 1, which is a feature.
[Appendix 3]
The description in Appendix 2, wherein the selection means selects a golf analysis means from the plurality of analysis means when the acquired current position is a position corresponding to a golf course or a driving range. Data analysis device.
[Appendix 4]
The data analysis according to Appendix 2 or 3, wherein the selection means selects the tennis analysis means from the plurality of analysis means when the acquired current position corresponds to the tennis field. Device.
[Appendix 5]
Further equipped with a speed acquisition means for acquiring the moving speed of the data analysis device,
The selection means according to any one of Supplementary note 1 to 4, wherein the running analysis means is selected from the plurality of analysis means when the acquired moving speed is within a predetermined speed range. Data analysis device.
[Appendix 6]
It is equipped with an information acquisition means for acquiring information indicating the type of data analysis analyzed by the other data analysis device from another data analysis device.
The method according to any one of Supplementary note 1 to 5, wherein the selection means selects an analysis means for performing data analysis indicated by the acquired information indicating the type of data analysis from the plurality of analysis means. Data analysis device.
[Appendix 7]
It is equipped with another device identification information acquisition means for acquiring the identification information of the other data analysis device from the other data analysis device.
Addendum 1 characterized in that the selection means selects an analysis means for performing data analysis associated with another data analysis device specified by the acquired identification information from the plurality of analysis means. The data analysis apparatus according to any one of 6 to 6.
[Appendix 8]
Equipped with a beacon information receiving means that receives beacon information corresponding to the type of data analysis
The data analysis apparatus according to any one of Supplementary note 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. ..
[Appendix 9]
The data analysis device is a wearable terminal worn by the measurement target, and is a wearable terminal.
The data analysis according to any one of Supplementary note 1 to 8, wherein the measurement target further includes a sensor that generates the sensor data by performing measurement on the measurement target when the data analysis device is attached. Device.
[Appendix 10]
It is a data analysis method performed by a data analysis device.
Multiple analysis steps, each performing different data analysis by analyzing sensor data,
A selection step of selecting one of the analysis means from the plurality of analysis means based on data different from the sensor data.
Analysis method with.
[Appendix 11]
On the computer
Multiple analysis functions that analyze different data by analyzing sensor data,
A selection function for selecting one of the plurality of analysis means from the plurality of analysis means based on data different from the sensor data.
A program characterized by realizing.

1 ... analysis device, 11 ... CPU, 12 ... ROM, 13 ... RAM, 14 ... bus, 15 ... input / output interface, 16 ... sensor unit, 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, 54n ... Running analysis module, 54m ... General purpose Analysis module, 61 ... Map information storage unit, 62 ... Linkage information storage unit, 100 ... Removable media

Claims (5)

Current location identification means to identify the user's current position,
When there is a sport registered in advance in association with the current position of the user specified by the current position specifying means, the sport is registered in advance based on output data from a predetermined sensor mounted on the user. While selecting the first analysis module that performs motion analysis specialized for sports, the above is the case where none of the sports is registered in advance in association with the current position of the user specified by the current position specifying means. A selection means for selecting a second analysis module that performs general-purpose motion analysis based on output data from a predetermined sensor mounted on the user, and
A data analysis device characterized by being equipped with . The data analysis device is a wearable terminal worn by the user , and is a wearable terminal.
The sensor is built in the data analysis device.
The data analysis apparatus according to claim 1 . A transmission means for transmitting the result of the motion analysis performed by the first analysis module or the second analysis module to an external terminal provided with the display unit in order to display the result of the motion analysis on the predetermined display unit is provided.
The data analysis apparatus according to claim 2. It is a data analysis method executed by the data analysis device.
The current position identification process that identifies the user's current position, and
When there is a sport registered in advance in association with the current position of the user specified in the current position specifying process, the sport is registered in advance based on output data from a predetermined sensor mounted on the user. While selecting the first analysis module that performs motion analysis specialized for sports, the above is the case where none of the sports is registered in advance in association with the current position of the user specified by the current position specifying process. Selection processing to select a second analysis module that performs general-purpose motion analysis based on output data from a predetermined sensor mounted on the user, and
A data analysis method characterized by including . The computer of the data analysis device ,
Current location identification means to identify the user's current location,
When there is a sport registered in advance in association with the current position of the user specified by the current position specifying means, the sport is registered in advance based on output data from a predetermined sensor mounted on the user. While selecting the first analysis module that performs motion analysis specialized for sports, the above is the case where none of the sports is registered in advance in association with the current position of the user specified by the current position specifying means. A selection means for selecting a second analysis module that performs general-purpose motion analysis based on output data from a predetermined sensor mounted on the user .
A program characterized by functioning as .

Images