JP6648439B2 - Display control device, method, and program - Google Patents

Description

  The present invention relates to a display control device, a method, and a program for acquiring, analyzing, and displaying sensor data detected according to an exercise state of an athlete during exercise.

  In recent years, there has been a marathon boom, such as a new large-scale citizen marathon held in a large city. In addition, a growing number of people who maintain and improve their health by performing exercises such as running, walking, cycling, etc. on a daily basis against the background of increasing health consciousness. In addition, an increasing number of people aim to participate in competitions such as a marathon through daily exercise. Such people are very conscious and interested in measuring and recording various biological information and exercise information with numerical values and data in order to grasp their own health condition and exercise condition. . Also, those who aim to participate in the competitions and the like have a very high awareness and interest in efficient and effective training methods because they aim for good results in the competition.

  At present, various runner products and technologies are being developed to meet such demands. For example, Patent Literature 1 discloses a portable fitness monitoring device that provides various kinds of biological information and exercise information to a runner during training. In this portable fitness monitoring device, a runner wears various sensors such as a heart rate monitor, an accelerometer, and a GPS receiver, and various performance parameters such as heart rate, distance, speed, steps, calories burned during exercise, and the like. Is measured and provided to runners as current information.

  In addition, for example, Patent Literature 2 discloses a technique in which exercise information obtained based on sensor data is compared with a desired threshold value in real time, and a notification operation is performed based on the comparison result.

JP 2010-264246 A JP 2014-45782 A

  However, in the devices and techniques as described above, the biological information and the exercise information during the exercise of the runner are detected, and the information is provided as it is or only the analysis result is provided to the runner. The individual sensor data could only be analyzed in comparison to the desired threshold.

  For this reason, even if a runner wants to know the correlation between them by combining the calculation results of multiple sensor data related to his / her physical and physical information during exercise, he or she cannot easily know it and use it effectively. Could not.

  Therefore, an object of the present invention is to be able to analyze and display a correlation between a plurality of calculation results of a plurality of sensor data regarding form information, biological information, performance information, and environmental information during exercise.

In an example of the aspect, a plurality of first state values representing a first state related to the running and a state different from the first state based on sensor data output from a sensor when the user is running. an acquisition unit for acquiring second state value more representative of a second state associated with running, a plurality of sets of state values and set the first state value is acquired and the second state value by the pre-Symbol acquisition unit, one A display control unit for plotting on a first plane coordinate in which one axis represents the first state of the movement and the other axis representing the second state of the movement, and displaying the first display on the display unit; The display control unit is characterized in that the display control unit divides a running section in the running for each predetermined distance, and causes the display unit to continuously display the first display for each running section .

  ADVANTAGE OF THE INVENTION According to this invention, it becomes possible to combine and calculate the calculation result of several sensor data regarding the form information, biological information, performance information, and environmental information during one's own exercise | movement, and to analyze and display those correlations.

1 is an external view of an embodiment of a data analysis and display device according to the present invention. FIG. 2 is a block diagram illustrating a hardware configuration example of a data analysis and display device according to the embodiment. It is a flowchart which shows the example of a data collection process. It is a flowchart which shows the example of a data analysis process. It is a flowchart which shows the detailed example of each state value acquisition processing. FIG. 3 is an explanatory diagram illustrating three axial directions of a gyro sensor 201 and an acceleration sensor 202 applied to the embodiment. It is explanatory drawing of an axis | shaft estimation process. It is explanatory drawing of a period estimation process. It is a figure which shows the example of a display (1st, 2nd group) of a 1st graph area | region when an exercise condition is a driving | running | working area, a 1st state value is a section speed, and a 2nd state value is a stride. It is a figure which shows the example of a display of the 1st graph area (3rd, 4th group) when an exercise condition is a driving | running | working area, a 1st state value is a section speed, and a 2nd state value is a stride. It is a figure which shows the example of a display (5th group) of the 1st graph area | region when an exercise condition is a driving | running | working area, a 1st state value is a section speed, and a 2nd state value is a stride. It is a figure showing an example of standard data of the 1st graph field when the 1st state value is section speed, and the 2nd state value is stride. It is a figure showing the example of a display of the 2nd graph field when an exercise condition is a run section and a performance state value is a section speed. It is a figure which shows the example of a display of the 1st graph area | region (solo run group, group run group) when the exercise condition is solo run / group run, the first state value is section speed, and the second state value is stride. It is explanatory drawing of the relationship of a relative altitude, an inclination angle, a vertical movement, and a running distance. It is a figure showing the example of a display of the 1st graph field in one group of the exercise condition when a 1st state value is an inclination angle and a 2nd state value is up-and-down movement. It is a figure which shows the example of a display (1st-5th group) of a 1st graph area | region when an exercise condition is a driving | running | working area, a 1st state value is a section speed, and a 2nd state value is a pitch. 9 is a flowchart illustrating an example of standard data generation processing.

  Hereinafter, embodiments for carrying out the present invention will be described in detail with reference to the drawings. The present invention relates to a sensor terminal that is worn on a body, acquires sensor data during running, and analyzes and displays the acquired sensor data.

  FIG. 1 shows an example of mounting the sensor terminal 101. The sensor terminal 101 is mounted on the chest of the runner (user) 100 as shown in FIG. 1A or behind the waist of the runner 100 as shown in FIG. The runner may be attached to a uniform position on the left and right, such as the neck line, which is a position along the center line in the left and right direction when viewed from the front.

  FIGS. 1B and 1C are diagrams illustrating an example of an analysis and display method. FIG. 1B shows a combination in which the sensor data acquired by the sensor terminal 101 after the running is transferred to the personal computer 102 and displayed. FIG. 1C shows a combination in which sensor data acquired by the sensor terminal 101 during running is analyzed in real time and wirelessly communicated to display the analysis result on a portable display device 103 such as a wristwatch or a so-called smartphone. Is shown.

  FIG. 2 is a block diagram illustrating a hardware configuration example of the motion analysis device according to the present embodiment. FIG. 2A shows an example of a hardware configuration of the sensor terminal 101, and FIG. 2B shows data analysis and data corresponding to the personal computer 102 in FIG. 1B or the display device 103 in FIG. 1C. 2 shows a hardware configuration example of a display terminal 200.

  2A, the sensor terminal 101 includes a gyro sensor 201, an acceleration sensor 202, a GPS (Global Positioning System) receiver 203, a pressure sensor 207, a controller 204, a memory 205, and a communication unit 206. Prepare. Although not particularly shown, a simple operation switch or a touch panel display unit may be provided.

  The gyro sensor 201 rotates in a rotational motion along its measurement axis (in this embodiment, the measurement axis is three axes orthogonal to each other including an axis substantially parallel to the body axis of the runner 100 (FIG. 1)). Detect angular velocity in direction. The gyro sensor 201 is not limited to the gyro sensor 201 as long as it can detect the angular velocity.

  The acceleration sensor 202 detects each acceleration in three extending directions of the measurement axis (the three axes). Any means can be used as long as it can detect acceleration.

  The GPS receiver 203 detects latitude data, longitude data, speed data, distance data, and the like. Any means can be used as long as it can detect the traveling distance and the speed data.

  The pressure sensor 207 detects a pressure value.

  The controller 204 acquires sensor data output by the gyro sensor 201, the acceleration sensor 202, and the GPS receiver 203, respectively, and stores the sensor data in the memory 205. Further, the controller 204 transmits the sensor data stored in the memory 205 to the data analysis / display terminal 200 via the communication unit 206.

  Next, in FIG. 2B, the data analysis / display terminal 200 includes a controller 211, a memory 212, a communication unit 213, an operation designation unit 210, and a display unit 214. The operation specifying unit 210 and the display unit 214 are, for example, a keyboard and a liquid crystal display, or an integrated touch panel.

  The controller 211 receives sensor data from the sensor terminal 101 in FIG. 2A via the communication unit 213 and stores the sensor data in the memory 212.

  FIG. 3 is a flowchart illustrating an example of a data collection process executed by the sensor terminal 101 having the hardware configuration example of FIG. 2A. This processing is realized as processing in which the controller 204 executes a data collection processing program stored in the memory 205. When the runner 100 starts running, the data collection process starts. The detection that the runner 100 has started running may be performed based on the detection of the movement of the position of the runner 100 by the GPS receiver 203 or the acceleration sensor 202. The detection may be performed by detecting that a start button switch provided on the switch or a start button provided on the touch panel is tapped.

  First, the controller 204 activates the gyro sensor 201, the acceleration sensor 202, and the GPS receiver 203 to start the sensing operation. As a result, the state of each sensor is in the process of acquiring sensor data (step S301 in FIG. 3).

  Next, the controller 204 determines whether or not the runner 100 has specified an exercise condition using an operation switch or a touch panel (not shown) (step S302). Exercise conditions specified by the runner 100 are, for example, based on various sensor data, such as whether the individual is running alone (single running) or a group running, or is a practice run or a run at a competition when the exercise condition is specified. Is an exercise condition that cannot be read. The runner 100 can input the exercise condition, for example, by tapping and selecting from among exercise condition options displayed on a display panel (not shown).

  If the determination in step S302 is YES, the controller 204 inputs or changes the exercise condition specified by the user (step S303). After that, the controller 204 returns to the process of step S301.

  If the determination in step S302 is NO, the controller 204 determines whether or not the measurement has been completed in response to an instruction from the user, for example, an operation switch (not shown) or the like (step S304).

  If the determination in step S304 is YES, controller 204 ends the data collection process.

  If the determination in step S304 is NO, the controller 204 returns to the processing in step S301.

  In step S301, the controller 204 acquires the sensor data output by the gyro sensor 201, the acceleration sensor 202, and the GPS receiver 203, and together with the exercise conditions (single run / group run, etc.) specified by the user in step S303. Is stored in the memory 205. In addition, the controller 204 transmits the sensor data stored in the memory 205 to the data analysis / display terminal via the communication unit 206 periodically (for example, every several seconds to several tens of seconds) or according to a user's instruction at the end of running. 200, and then clear the contents stored in the memory 205.

  Next, a data analysis process executed by the data analysis / display terminal 200 in FIG. 2 will be described. FIG. 4 is a flowchart illustrating an example of a data analysis process performed by the controller 211 of FIG. This processing is realized as processing in which the controller 211 executes a data analysis processing program stored in the memory 212. This process is started, for example, by an instruction from the user (runner 100).

  First, the controller 211 executes the function of the acquisition unit (Step S401). In this function, the controller 211 is based on each sensor data output from the gyro sensor 201, the acceleration sensor 202, the GPS receiver 203, and the barometric pressure sensor 207 and sent from the sensor terminal 101 and held in the memory 212. Then, each state value described below is obtained (step S401).

  FIG. 5 is a flowchart illustrating a detailed example of each state value acquisition process in step S401 in FIG.

  First, the controller 211 inputs each sensor data of the gyro sensor 201, the acceleration sensor 202, the GPS receiver 203, and the barometric pressure sensor 207 sent from the sensor terminal 101 and held in the memory 212 (step S501). ).

  Next, the controller 211 calculates a section speed, which is a type of state value indicating the performance of the exercise by the runner 100, and a travel distance, which is a type of exercise condition obtained from the sensor data (step S502). More specifically, the controller 211 calculates the travel distance [km] from the running start point by calculating the current detailed position based on the sensor data from the GPS receiver 203 input in step S501. , Are sequentially recorded in the memory 212. The section speed [m / s] is calculated from the running distance per unit time (for example, one minute) from the start of running by a timer (not shown) of the controller 211 and recorded in the memory 212 sequentially. Note that the controller 211 calculates a more accurate traveling distance or section speed by referring to, for example, each sensor data from the acceleration sensor 202 and the gyro sensor 201 in addition to the sensor data from the GPS receiver 203. You may.

  Next, the controller 211 calculates pitch, stride, and vertical and horizontal movements of the runner 100, which are types of state values indicating the form of the runner 100 (step S503). Here, the pitch is the number of steps during running of the runner 100 per unit time (for example, one minute). The stride is a stride when the runner 100 is running. The vertical movement is the amount of movement [centimeter] in the direction of extension of the body axis of the runner 100 (see the description of FIG. 6 described later). The left-right movement is a movement amount [centimeter] in an extending direction of an axis orthogonal to the body axis of the runner 100 in the left-right direction (see the description of FIG. 6 described later).

  The method of calculating the pitch, stride, vertical movement, and horizontal movement will be described below. First, FIG. 6 is an explanatory diagram illustrating three axial directions of the gyro sensor 201 and the acceleration sensor 202 applied to the present embodiment. In the present embodiment, the acceleration sensor 202 measures the rate of change (acceleration) in the operation speed of the runner 100 during exercise. In the present embodiment, the acceleration sensor 202 has a three-axis acceleration sensor, detects acceleration components along each of three orthogonal directions, and outputs the detected acceleration components as acceleration data. That is, the axis extending in the up-down direction with respect to the runner 100 is defined as the x-axis, and the downward (ground direction) acceleration component is defined as the + direction. Here, the x-axis substantially corresponds to the extending direction of the body axis of the runner 100. Further, the axis extending in the left-right direction with respect to the runner 100 is defined as the y-axis, and the acceleration component in the left-hand direction is defined as the + direction. Further, the axis extending in the front-rear direction with respect to the runner 100 is defined as the z-axis, and the acceleration component in the forward direction (traveling direction) is defined as the + direction. The acceleration data acquired by the acceleration sensor 202 is associated with the time data generated by the controller 211.

  The gyro sensor 201 measures a change (angular velocity) in the operation direction during the movement of the runner 100. In the present embodiment, the gyro sensor 201 has a three-axis angular velocity sensor, detects angular velocity components generated in the rotational direction of the rotational motion along each axis, and outputs the angular velocity data as angular velocity data. Here, as shown in FIG. 6, with respect to three axes x, y, and z orthogonal to each other, an angular velocity component generated clockwise in the + direction of the acceleration component of each axis is defined as a + direction. Here, the angular velocity component generated in the rotation direction of the x-axis substantially matches the angular velocity generated around the body axis of the runner 100. The angular velocity data acquired by the gyro sensor 201 is associated with time data generated by the controller 211.

  Next, the controller 211 executes an axis estimation process in step S503 in FIG. FIG. 7 is an explanatory diagram of the axis estimation process. Taking the case where the sensor terminal 101 is worn on the waist as an example, when the runner 100 is running, as shown in FIG. 7A, the runner 100 leans forward or leans left and right. This inclination is estimated based on the data of the acceleration sensor 202 and the gyro sensor 201, and as shown in FIG. 7B, data along the axis extending from the center of the earth with respect to the vertical direction, The axis estimating process is to take the y-axis and the z-axis along the tangential direction of the axis, and convert the y-axis and the z-axis into axis coordinate data in which the vertical direction is the x-axis direction. As an example of this estimation method, for example, by inputting the three-axis output of the acceleration sensor 202 and the three-axis output of the gyro sensor 201 to a Kalman filter or a low-pass filter, three-axis data of acceleration with respect to the ground (horizontal plane) and three axes of angular velocity Data can be calculated. In this embodiment, an axis estimation method other than the Kalman filter and the low-pass filter may be adopted.

  Next, in step S503 of FIG. 5, the controller 211 executes a period estimation process. FIG. 8 is an explanatory diagram of the cycle estimation processing. In general, in running, as shown in the upper part of FIG. 8, for example, from the kicking out of one foot (the left foot takes off in the figure), the other foot touches down (the right foot touches down) and kicks out (the right foot takes off). ), The grounding of one foot (grounding of the left foot), and the kicking out of one foot (take off of the left foot) are again performed. The left and right steps are defined as one cycle (running cycle). be able to. On the other hand, in a series of running operations, the vertical acceleration component of the acceleration data acquired by the acceleration sensor 202 and corrected by the axis estimation process has a periodicity every left and right steps, for example, as shown in the lower part of FIG. 2 shows a signal waveform of the signal. From this, two cycles of the vertical acceleration component correspond to one cycle (running cycle) in the running operation. Therefore, based on the vertical acceleration component acquired by the acceleration sensor 202 and corrected by the axis estimation process, one cycle in the running operation performed by the runner 100 (a series of operation periods in which the right foot and the left foot are alternately moved one by one). Each operation data can be stably cut out. At the same time, the time of the one cycle can be accurately measured. Note that another method may be adopted as the cycle estimation processing. By calculating one cycle of the two steps, the controller 211 can calculate the number of steps of the runner 100 per unit time, that is, the pitch [steps / minute].

  Next, in step S503 of FIG. 5, the controller 211 calculates a stride based on the pitch calculated as described above and the section speed calculated in step S502 of FIG. Now, the section speed [m / sec] is converted into the speed per minute, and the pitch is the number of steps of the runner 100 per minute. Therefore, the stride per step, that is, the stride [meter] is “per minute”. It can be calculated as “speed / pitch”.

  Further, the controller 211 calculates the vertical movement of the runner 100 in step S503 in FIG. In the above-described cycle estimation processing, the vertical acceleration component of the acceleration data acquired by the acceleration sensor 202 and corrected by the above-described axis estimation processing is obtained, for example, as shown in the lower part of FIG. By doing so, the vertical movement [centimeter] of the runner 100 can be calculated.

  In addition, the controller 211 calculates the lateral movement of the runner 100 in step S503 in FIG. In the above-described cycle estimation processing, the acceleration component in the left-right direction of the acceleration data acquired by the acceleration sensor 202 and corrected by the axis estimation processing described above is obtained in the same manner as the acceleration component in the vertical direction. Thus, the lateral movement [centimeter] of the runner 100 can be calculated.

  The controller 211 sequentially stores the pitch [step / min], the stride [meter], the vertical movement [centimeter], and the horizontal movement [centimeter] calculated in step S503 in FIG. Record it.

  Returning to the description of FIG. 5, the controller 211 calculates a relative altitude [meter], which is a type of a state value indicating an environment during running, based on the sensor data from the barometric pressure sensor 207 input in step S501 of FIG. Are sequentially recorded in the memory 212 (step S504).

  Then, the controller 211 differentiates the relative altitude calculated in step S504 with the traveling distance calculated in step S502, and calculates an arc sine, thereby obtaining an inclination angle [a type of a state value indicating a running environment]. Degree] is calculated and sequentially recorded in the memory 212 (step S505).

  By the processing described above, the controller 211 ends the state value acquisition processing in step S401 in FIG. 4 illustrated in the flowchart illustrated in FIG. 5, and terminates the function of the acquisition unit.

  With the function of the acquisition unit described above, the section speed [m / sec], which is a state value indicating performance, and the mileage [km], which is a kind of exercise condition obtained from sensor data, are acquired. Further, a pitch [step / minute], a stride [meter], a vertical movement [centimeter], and a left / right movement [centimeter], which are state values indicating the form of the runner 100, respectively, are acquired. Further, a relative altitude [meter] and an inclination angle [degree], which are state values indicating the environment during running, respectively, are acquired. In addition, as a function of the acquisition unit, a state value indicating a form such as a brake component or a contact time, or a state value indicating performance such as a heart rate may be acquired.

  Returning to the description of FIG. 4, next, the controller 211 of the data analysis / display terminal 200 of FIG. 2 changes the types of the two status values from the status values acquired in step S401 to the first status value type and It is designated as the second state value type (step S402). This operation may be designated by the controller 211 by the user (runner 100) via the operation designation unit 210 and the display unit 214, or may be automatically selected according to a predetermined procedure. As a result, for example, the controller 211 specifies the section speed [m / sec], which is a state value indicating performance, as the first state value type, and sets the stride [meter], which is a state value indicating form, as the second state value type. specify.

Next, the controller 211 executes the function of the exercise condition specifying unit (Step S403). In this function, the controller 211 causes the user (runner 100) to specify exercise conditions from the following via the operation specifying unit 210 and the display unit 214.
(1) Running section. Calculated in step S502 of FIG. 5 in step S401
Travel distance [km], for example, every 1000 [meters]
It is specified as a delimited section.
(2) Whether running alone or in groups. While runner 100 is running
It is specified as a value arbitrarily input in step 302 → S303 in FIG.
(3) Whether the vehicle is traveling on a curve section or traveling on a straight section.
This will be described later.
For example, the user specifies a running section as the exercise condition.

  Next, the controller 211 executes the function of the display control unit (steps S404 to S410).

  First, the controller 211 designates the set of the first state value and the second state value calculated in step S401 corresponding to the first state value type and the second state value type specified in step S402 to the user in step S403. Grouping is performed based on the exercise condition thus made (step S404). In step S401, for example, the section speed [m / sec] as the first state value and the stride [m] as the second state value are acquired for each traveling distance [km]. Therefore, the controller 211 divides the group of the section speed and the stride into, for example, travel sections divided every 1000 [meters] and performs grouping.

  Then, the controller 211 performs a series of processes of steps S405 to S409 for drawing the first graph area corresponding to each group on the display unit 214 of FIG. The process is repeated until it is determined that it has been performed.

  In the series of processes from steps S405 to S409, first, the controller 211 selects one group from the groups for each traveling section obtained by the grouping in step S404, and corresponds to the one group in FIG. A first graph area (first plane coordinate) to be displayed on the display unit 214 of the data analysis / display terminal 200 is generated (step S405).

  Next, on the first graph area generated in step S405, the controller 211 sets the first state value type, for example, the section speed on the X axis (horizontal axis), and the second state value type, for example, stride [meter] on the Y axis (vertical axis). As the axis, a set of the first state value and the second state value acquired in step S401 and classified into the current group is plotted (step S406).

  Next, the controller 211 superimposes and displays the standard data generated based on the sensor data of the user himself acquired in advance on the first graph area generated in step S405 (step S407).

  Subsequently, the controller 211 superimposes and displays a graph of a first approximation expression that approximates a set of the first state value and the second state value plotted in step S406 on the first graph region generated in step S405 ( Step S408).

  Further, the controller 211 displays a graph of a second approximation formula that approximates the standard data displayed in step S407 on the first graph area generated in step S405 (step S409).

  Thereafter, the controller 211 determines whether a series of processes from steps S405 to S409 has been completed for all the groups grouped in step S404 (step S410).

  If the determination in step S410 is NO, the process returns to step S405.

  If the determination in step S410 is YES, the function of the display control unit (steps S404 to S410) ends.

  9 to 11 show that the exercise condition specified in step S403 in FIG. 4 is a running section, the first state value type specified in step S402 is section speed [m / sec], and the second state value type is stride [ FIG. 16 is a diagram illustrating a display example of a first graph area drawn on the display unit 214 in steps S405 to S410 for each group grouped in the traveling section in step S404 when the distance is [meter]. 9A is a display example of a group in which the travel section is from 0 to 1000 [meters], FIG. 9B is a display example of a group in which the travel section is from 1000 to 2000 [meters], and FIG. FIG. 10B shows a display example of a group whose travel section is from 2000 to 3000 [m], FIG. 10B shows a display example of a group whose travel section is from 3000 to 4000 [m], and FIG. It is a display example of the group up to. In the display example of the first graph area of each group, reference numeral 801 denotes a plot example of a set of the acquired first state value (section speed) and second state value (stride), and 802 denotes a preset example as shown in FIG. An example of a plot of the obtained standard data, 803 is a first approximate expression corresponding to the plot group 801 of the acquired values, and 804 is a second approximate expression corresponding to the plot group 802 of the standard data.

  In addition to the function of the display control unit that draws the first graph area on the display unit 214 in FIG. 2, the controller 211 executes an additional function of the display control unit (steps S411 and S412).

  In this additional function, the controller 211 first causes the user to specify whether to draw the second graph area via the operation specifying unit 210 and the display unit 214 (step S411).

  If the determination in step S411 is YES, the controller 211 generates a second graph area (second plane coordinates) on the display unit 214, and sets the state value type corresponding to the exercise condition to X on the second graph area. With the state value type of the status value indicating the performance selected by the user via the axis, the operation specifying unit 210, and the display unit 214 as the Y axis, the status value acquired in step S401 corresponding to these two status value types is set as the Y axis. The set is plotted (step S412). If the determination in step S411 is NO, drawing of the second graph area in step S412 is not executed. For example, the controller 211 sets the X-axis to the traveling distance [km], which is the state value type corresponding to the traveling section as the exercise condition, and the Y-axis to the section speed [m / sec], which is the state value type indicating performance. 13 is drawn.

  As described above, the relationship between the first state value, for example, the section speed and the second state value, for example, the stride, is shown by the function of the display control unit in steps S404 to S410 for each group that is grouped in the exercise condition, for example, the running section. The first graph area is displayed on the display unit 214 as illustrated in FIGS. 9 to 11, respectively. In addition, by the additional function of the display control unit in steps S411 and S412, the second graph area indicating the relationship between the exercise condition, for example, the state value of the traveling distance corresponding to the traveling section and the state value of the section speed indicating performance, for example, It is displayed on the display unit 214. In addition, as a display form on the display unit 214, the first graph area and the second graph area for each group may be reduced and displayed in parallel at the same time, or each graph area may be sequentially switched and displayed by the user. You may. With such a display form, for example, as a first analysis method for each graph (first graph) in the first graph region of each group, the user (runner 100) displays the first graph of each group in the second graph region. It can be compared with the middle graph (second graph). As a result of the comparison, for example, by comparing the second graph 1301 illustrated in FIG. 13 with the average section speed over the entire section indicated by the broken line 1302, the pace is calculated from around the mileage of 3000 [m]. It can be seen that has fallen. On the other hand, looking at the first graphs of the five sections of FIGS. 9 to 11 grouped by the running section, as shown in FIGS. 10 (a), (b) and FIG. From around the distance of 2000 [meters], it can be seen that the stride is larger for the acquired value 801 than for the standard data 802 in order to maintain the pace, and that ordinary running is not possible. That is, in the present embodiment, as illustrated in FIG. 13, not only the state value corresponding to the exercise condition and the state value indicating the performance are simply compared, but also the performance value is grouped for each exercise condition. Can be compared with the state value indicating the form, and a detailed running analysis can be performed from the viewpoint of exercise conditions, performance, and form.

  In the flowchart of FIG. 4, the controller 211 further executes the function of the determination unit (Steps S413 to S415).

  In this function, the controller 211 first calculates the average distance between the first approximate expression corresponding to the acquired value calculated in step S408 and the second approximate expression corresponding to the standard data calculated in step S409 (step S413).

  Next, the controller 211 determines whether or not the average distance calculated in step S413 is equal to or more than a predetermined value (step S414).

  If the determination in step S414 is YES, the controller 211 visually changes, for example, the second approximate expression (803 in FIGS. 9 to 11) corresponding to the group of plots of the acquired values on the first graph area of the display unit 214. (Blinking or discoloration), or in particular, by voice messages from an amplifier and a speaker (not shown) (step S415). If the determination in step S414 is NO, the notification in step S415 is not executed.

  After the above processing, the controller 211 ends the data analysis processing exemplified in the flowchart of FIG.

  As described above, as the second analysis method for each first graph in the first graph area of each group, the first approximate expression (803 in FIGS. 9 to 11) corresponding to the plot group of the acquired values and the standard The degree of deviation of the second approximation formula (804 in FIGS. 9 to 11) corresponding to the plot group of data can be determined. On the basis of this, for example, when the traveling section as shown in FIG. 10A, FIG. 10B, or FIG. 11 is in the latter half, the first approximate expression 803 deviates from the second approximate expression 804 by a predetermined value or more. Is notified to the user. Thereby, the user can recognize that the stride tends to increase in an attempt to maintain the section speed as the running section, which is the exercise condition, becomes the latter half.

  In addition, in the function of the determination unit, the degree of deviation in “within the sensor data range” may be calculated. For example, in the example of FIG. 9, the average distance between the linear approximation formulas when the section speed (X axis) is between 4.8 and 5.2 [m / sec] is obtained. The approximate expression need not be a straight line. Further, an approximate expression of the standard data may be obtained, and an average distance between the two approximate expressions within a predetermined range (for example, X = 4.8 to 5.2 in FIG. 9) may be obtained.

  FIG. 14 shows that the exercise condition specified by the user in step S403 in FIG. 4 is solo / group running, the first state value type specified in step S402 is section speed [m / sec], and the second state value type is stride. In the case of [meter], a display example of the first graph area drawn on the display unit 214 in steps S405 to S410 for each group grouped according to whether it is a single run or a group run in step S404 FIG. FIG. 14A is a display example of a solo running group, and FIG. 14B is a display example of a group running group.

  In the display example of the first graph area of each group, reference numeral 801 denotes a set of the first state value (section speed) and the second state value (stride) acquired in step S401 in FIG. 4 according to step S406 in FIG. It is a plot example. Reference numeral 802 denotes a plot example of the standard data obtained in advance in step S407 in FIG. Reference numeral 803 denotes a display example of the first approximate expression calculated in step S408 in FIG. 4 corresponding to the plot group 801 of the acquired values. Reference numeral 804 denotes a display example of the second approximate expression calculated in step S409 in FIG. 4 corresponding to the plot group 802 of the standard data.

  Exercise conditions for running alone / group running are specified by the user during running from step S302 to step S303 in FIG. 3, and the first state value (section speed) and the second state value (section speed) in step S401 in FIG. At the time of the acquisition of the (stride) pair, it has been acquired together. Therefore, in step S404 in FIG. 4, each set of the first state value (section speed) and the second state value (stride) is converted into a group of each state value during the running based on the running condition of the running or the group running. And the group of each state value running in a group.

  After the display of the first graph area illustrated in FIG. 14, the controller 211 executes the above-described function of the determination unit (steps S413 to S415 in FIG. 4), so that the self-running group in FIG. 14 (b), the degree of divergence between the first approximation formula 803 corresponding to the plot group of the acquired values and the second approximation formula 804 corresponding to the plot group of the standard data is determined. can do. On the basis of this, for example, in the case of the group running in FIG. 14B, the user is notified that the first approximation expression 803 deviates from the second approximation expression 804 by a predetermined value or more. Thus, when the exercise condition is a group run, the user can recognize that the stride tends to be larger than the user's normal running by being pulled by the group.

  FIG. 15 is a diagram showing the relationship between the traveling distance and the relative altitude, the relationship between the traveling distance and the inclination angle, and the relationship between the traveling distance and the inclination angle and the vertical movement, which are the state values acquired in step S401 in FIG. As described in steps S504 and S505 in FIG. 5, in the relationship between the traveling distance and the relative altitude in FIG. 5A, the relative altitude obtained from the barometric pressure sensor 207 is differentiated by the traveling distance to calculate an arc sine. An inclination angle having the relationship shown in FIG. 5B can be calculated. Further, in FIG. 5C, the relationship 1502 between the running distance and the inclination angle shown in FIG. 5B and the relationship 1502 of the vertical movement calculated in step S503 in FIG. It can be seen that the inclination angle and the vertical movement of the runner 100 have a correlation.

  Therefore, a running section is designated as the exercise condition in step S403 of FIG. 4, and in step S402, the first state value type is designated as the inclination angle [degree], and the second state value type is designated as vertical movement [centimeter]. As a result, as shown in FIG. 16, a display example of the first graph area drawn on the display unit 214 in steps S405 to S410 for a certain group grouped in the traveling section in step S404 in FIG. Obtainable. Standard data is also displayed at the same time as the center line. With such a display form, it is possible to analyze how the relationship between the inclination angle of the runway and the vertical movement of the body of the runner 100 changes for each running section.

  In the above-described embodiment, as an example of the set of the first state value type and the second state value type, the section speed indicating the performance and the section speed indicating the form and the stride indicating the form are indicated by the first graph. (FIGS. 9 to 11 and FIG. 14). Alternatively, the inclination angle, which is the state value indicating the environment, and the vertical movement, which is the type of the state value indicating the form, are compared as a first graph (FIG. 16). On the other hand, a status value indicating another performance or environment may be compared with a status value indicating another form. As a state value indicating another performance, a heart rate or the like can be selected in addition to the section speed. As a state value indicating another environment, a relative altitude can be selected in addition to the inclination angle. As a state value indicating another form, in addition to stride and up-down movement, pitch, brake component, left-right movement, contact time, and the like can be selected. As the exercise condition, as described above in step S403 in FIG. 4, it is possible to select a travel section, a single run or a group run, a curve section travel or a straight section travel, or the like.

  FIG. 17 shows that the exercise condition specified in step S403 of FIG. 4 is the running section, the first state value type specified in step S402 is the section speed [meter / second], and the second state value type is pitch [step / minute]. FIG. 20 is a diagram showing a display example of a first graph area drawn on the display unit 214 in steps S405 to S410 for each group grouped in the traveling section in step S404 in the case of [1]. FIG. 17A shows a display example of a group whose traveling section is from 0 to 1000 [m], FIG. 17B shows a display example of a group whose traveling section is from 1000 to 2000 [m], and FIG. FIG. 17D shows a display example of a group whose travel section is from 2000 to 3000 [m], FIG. 17D shows a display example of a group whose travel section is from 3000 to 4000 [m], and FIG. 17E shows a display section of a group whose travel section is from 4000 to 5000. It is a display example of a group up to [meter]. In FIG. 17, a plot group of a set of the acquired first state value (section speed) and second state value (pitch), a plot group of the standard data, a first approximate expression corresponding to the plot group of the acquired values, and the standard data The relationship of the second approximation formula corresponding to the group of plots is similar to that of FIG. After the display of the first graph area illustrated in FIG. 17, the controller 211 executes the above-described function of the determination unit (Steps S413 to S415 in FIG. 4), so that the acquired value The degree of divergence between the first approximate expression corresponding to the plot group and the second approximate expression corresponding to the standard data plot group can be determined. On the basis of this, for example, in the case where the traveling section as shown in FIG. The user is notified. Accordingly, the user can recognize that the pitch tends to decrease and the section speed cannot be maintained as the running section, which is the exercise condition, becomes the latter half.

  As described above in step S403 of FIG. 4, as the exercise condition, when the vehicle is traveling in a curved section or traveling in a straight section, for example, it is applied to Japanese Patent Application No. 2014-133635 or 2014-133969. By the disclosed estimation method using track matching, sensor data detected during traveling in a curved section and sensor data detected during traveling in a straight section can be grouped.

  FIG. 18 is a flowchart illustrating an example of the standard data generation process executed by the data analysis / display terminal 200. This process is realized as a process in which the controller 211 executes a control program stored in the memory 212.

  First, the controller 211 displays, on the display unit 214, a display prompting the user (runner 100) to select the first state value type (X axis of the first graph area). For example, on the touch panel of the operation designating unit 210, the user may select one of a traveling distance, a section speed, which is a type of a status value indicating performance, or a relative altitude, an inclination angle, or the like, which is a type of status value indicating an environment. It is selected (tapped) as the first state value type (step S1801).

  Next, the controller 211 displays, on the display unit 214, a display prompting the user to select the second state value type (the Y axis of the first graph area). The user selects (tap) one of the pitches, strides, up / down movements, left / right movements, and the like as the first state value type on the touch panel of the operation designation unit 210, for example, from among the types of state values indicating the form, such as pitch, stride, up / down movement, and left / right movement ( Step S1802).

  Subsequently, the controller 211 displays, on the display unit 214, a display prompting the user to select a totaling range of the set of the first state value and the second state value. The user selects (tap) the totaling range by, for example, specifying a running period (from when to when) on the touch panel of the operation specifying unit 210 (step S1803). Here, the user can also specify exercise conditions as a part of the aggregation range. When generating the standard data, the user designates the exercise conditions, for example, an acquisition result for each traveling section, an acquisition result for a solo run, an acquisition result for a group run, an acquisition result for a practice run, or a competition. It is possible to specify narrowing down so that standard data is generated by totaling only the acquisition results and the like at the time of traveling at the meeting.

  The controller 211 tallies the set of the acquired data of the first state value and the second state value stored in the aggregation range specified in step S1803 on the memory 212 based on the specification in steps S1801 to S1803. Thus, data indicating a correlation between the first state value (X axis) and the second state value (Y axis) is generated (step S1804).

  Next, the controller 211 calculates the variance and the standard deviation of the data generated in step S1804 (step S1805).

  Then, based on the standard deviation calculated in step S1805, the controller 211 excludes data at both ends of the distribution outside the range of the predetermined standard deviation (step S1806).

  The controller 211 calculates an average value of the Y-axis for each discrete value of the X-axis using the data remaining after the exclusion of step 1106, and sets the average value together with a set of calculation results of the X-axis and the Y-axis as standard data. Is stored in the memory 212. The standard data calculated in this manner is used in step S407 in FIG.

  In the embodiment described above, based on the sensor data output of the gyro sensor 201, the acceleration sensor 202, the GPS receiver 203, and the atmospheric pressure sensor 207, the traveling distance, the section speed, the pitch, the stride, the vertical movement, the relative altitude, the inclination angle Although each state value such as is calculated and recorded during running, the present invention is not limited to this, and a physical quantity can be adopted as an output of various sensor data or a calculation result.

  To summarize the above-described embodiments, the state value indicating the performance of the exercise of the runner 100 may include any one of the speed and the heart rate, and the state value indicating the environment during the exercise may be , The relative altitude, and the inclination angle, and the state value indicating the form of the exercise includes any of the pitch, the vertical movement, the brake component, the lateral movement, and the contact time. Is good. Further, as the exercise conditions when the runner 100 exercises, when the exercise is running, the running section of the running, whether the run is alone or group running during the running, and the curve section during the running Either running or running in a straight section may be included.

  As described above, in the present embodiment, the correlation information from various viewpoints is analyzed and displayed by combining the calculation results of a plurality of sensor data related to the form information, the biological information, the performance information, and the environmental information during the exercise. It becomes possible.

Regarding the above embodiments, the following supplementary notes are further disclosed.
(Appendix 1)
A plurality of first state values representing a first state related to the exercise and a plurality of state values representing a second state related to the exercise based on sensor data output from the sensor in accordance with the exercise of the user. An acquisition unit that acquires a plurality of second state values paired with the plurality of first state values;
An exercise condition designating unit that designates exercise conditions during the exercise,
The plurality of sets of state values obtained by the obtaining unit are divided into the plurality of groups, each of which includes a plurality of groups divided based on the exercise condition, and each of the plurality of groups including the plurality of sets of state values. And a plurality of sets of state values, together with standard data to be compared, on a first plane coordinate where one axis represents the first state of the movement and the other axis represents the second state of the movement. A display control unit that plots the data on the display unit and displays the first display as a first display on the display unit.
A display control device comprising:
(Appendix 2)
The display control device according to claim 1, wherein the exercise condition can be specified by the user during the exercise.
(Appendix 3)
The display control unit,
The output sensor data is plotted on a second plane coordinate in which one axis represents the motion condition and the other axis represents the performance of the motion, and is displayed on a display unit as a second display.
3. The display control device according to supplementary note 1 or 2.
(Appendix 4)
The display control unit obtains a first approximate expression based on a plurality of sets of the first state value and the second state value plotted on the same first plane coordinate as a result of being divided for each group. And display on the first plane coordinates, acquire the second approximate expression of the standard data and display on the first plane coordinates,
A determining unit that determines whether a difference between the first approximate expression and the second approximate expression is greater than a predetermined value,
4. The display control device according to any one of supplementary notes 1 to 3.
(Appendix 5)
The first state value is a state value indicating the performance of the exercise or the environment during the exercise,
The second state value is a state value indicating the form of the exercise,
5. The display control device according to any one of supplementary notes 1 to 4.
(Appendix 6)
A plurality of first state values representing a first state related to the exercise, and a plurality of state values representing a second state related to the exercise, based on sensor data output from the sensor in accordance with the exercise of the user. Acquiring a plurality of second state values paired with the plurality of first state values,
Specify the exercise conditions during the exercise,
The obtained plurality of sets of state values are divided into the plurality of groups, each of which includes a plurality of groups divided based on the exercise condition and each including a plurality of sets of state values, and are divided into the plurality of groups. The plurality of sets of state values together with the standard data to be compared are plotted on a first plane coordinate where one axis represents the first state of the movement and the other axis represents the second state of the movement. , Is displayed on a display unit as a first display for each of the groups,
Display control method.
(Appendix 7)
A plurality of first state values representing a first state related to the exercise, and a plurality of state values representing a second state related to the exercise, based on sensor data output from the sensor in accordance with the exercise of the user. Acquiring a plurality of second state values paired with the plurality of first state values,
A step of specifying exercise conditions during the exercise,
The obtained plurality of sets of state values are divided into the plurality of groups, each of which includes a plurality of groups divided based on the exercise condition and each including a plurality of sets of state values, and are divided into the plurality of groups. The plurality of sets of state values are plotted together with standard data to be compared on a first plane coordinate where one axis represents the first state of the movement and the other axis represents the second state of the movement. Displaying on the display unit as a first display for each of the groups;
A program for causing a computer to execute.

Reference Signs List 100 runner 101 sensor terminal 102 personal computer 103 display device 200 data analysis / display terminal 201 gyro sensor 202 acceleration sensor 203 GPS receiver 204, 211 controller 205, 212 memory 206, 213 communication unit 207 barometric pressure sensor 210 operation designation unit 214 display unit

Claims (8)

Based on the sensor data output from the sensor during the running of the user, a plurality of first state values representing a first state related to the running , and a first state value related to the running that is a state different from the first state. An acquisition unit configured to acquire a plurality of second state values representing two states ;
Pre SL plurality of sets of state values to the first state value and set the second state value acquired by the acquisition unit, first and hand axis represents the first state of the movement the other axis of the movement 2 A display control unit that plots on a first plane coordinate representing a state and displays the first display on a display unit ;
The display control device, wherein the display control unit divides a traveling section in the running into predetermined distances and causes the display unit to continuously display the first display for each traveling section .   The display control device according to claim 1, wherein the acquisition unit acquires a plurality of types of first state values and a plurality of types of second state values. The first state value is a state value indicating the running performance or the running time of the environment,
The second state value is a state value indicating the form of the user during the running ,
The display control device according to claim 1 or 2. The display controller, a pre-Symbol plurality of sets of state values, along with the standard data to be compared, first the one axis representing a second state of and the other axis the running represents a first state of the running plotted on plane coordinates, as the first display on the display unit,
The display control device according to any one of claims 1 to 3. The display control unit,
The output sensor data is plotted on a second plane coordinate where one axis represents the running section in the running and the other axis represents the performance of the running , and is displayed on the display unit as a second display. ,
The display control device according to any one of claims 1 to 4. The display controller, prior Symbol first approximation equation obtained by the first plane coordinates based on the plurality of sets of values of the second state value to the first state value to be plotted on the first plane coordinates , The second approximate expression of the standard data is obtained and displayed on the first plane coordinates,
A determining unit that determines whether a difference between the first approximate expression and the second approximate expression is greater than a predetermined value,
The display control device according to claim 4 . Based on the sensor data output from the sensor during the running of the user, a plurality of first state values representing a first state related to the running, and a first state value related to the running that is a state different from the first state. Obtaining a plurality of second state values representing two states ;
A plurality of sets of state values of the first state value and a second state value was set from pre SL acquired, and hand axis represents the first state of the movement the other axis representing a second state of the exercise A display control method for plotting on a first plane coordinate and displaying the first display on a display unit ,
A display control method , wherein a running section in the running is divided for each predetermined distance, and the first display is continuously displayed on the display unit for each running section . Based on the sensor data output from the sensor during the running of the user, a plurality of first state values representing a first state related to the running , and a first state value related to the running that is a state different from the first state. Obtaining a plurality of second state values representing two states ;
A plurality of sets of state values of the first state value and a second state value was set from pre SL acquired, and hand axis represents the first state of the movement the other axis representing a second state of the exercise plotted on the first plane coordinates, as the first display, the step of displaying on the display unit, and a program to be executed by a computer,
The step of displaying on the display section divides a traveling section in the running into predetermined distances and causes the display section to continuously display the first display for each traveling section .