JP2016154623A - Exercise effect presentation device, exercise effect presentation system, and exercise effect information generation method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an exercise effect presentation device, an exercise effect presentation system, and an exercise effect information generation method, capable of easily grasping an exercise effect.SOLUTION: The exercise effect presentation device includes: an information acquisition unit 354 acquiring biological information and body motion information of a user; a storage unit storing the acquired biological information and acquired body motion information in associated with a detection date; an extraction unit 356 extracting plural detection dates on which a predetermined similarity condition is satisfied by information based on at least one of the biological information and body motion information, from the plural detection dates on which the biological information and the body motion information have been detected; and a presentation unit (presentation information generation unit 357) presenting a relationship between biological related information derived based on the biological information on the detection date and the body motion related information derived based on the body motion information on the detection date so as to enable the relationship to be compared among the plural extracted detection dates.SELECTED DRAWING: Figure 5

Description

  The present invention relates to an exercise effect presentation device, an exercise effect presentation system, and an exercise effect information generation method.

2. Description of the Related Art Conventionally, a biological information measuring apparatus that can support an effective exercise for a user is known as a biological information measuring apparatus that measures a user's biological information (see, for example, Patent Document 1).
The biological information measuring device described in Patent Document 1 is used by being mounted on, for example, a wrist of a user. This biological information measuring device includes a pulse sensor, an acceleration sensor, a storage unit, and a control unit, and the storage unit has a pulse rate based on the pulse detected by the pulse sensor and a step count based on the acceleration detected by the acceleration sensor. Is memorized. In addition to calculating calorie consumption from the pulse rate stored in the storage unit, the control unit calculates exercise time. Then, the control unit determines whether or not the calculated calorie consumption, exercise time, and number of steps have reached a calorie consumption target value, a time target value, and a step number target value that are preset by the user, respectively. When it is determined that the target value has been reached, the fact that the target has been achieved is notified by sound.
Further, the biological information measuring device outputs a sound based on a pulse range (zone) to which the user's pulse rate belongs, and notifies the user of the exercise state by the sound. By exercising according to such sounds, the user can perform effective exercise.

In the above biological information measuring device, it is determined whether or not the number of steps for one day, one week, and one month has reached the target number of steps for one day, one week, and one month, and at least of the number of steps in each period. When it is determined that either of them reaches the corresponding target value, a display indicating that the step number target value has been reached and voice output are performed. Such determination processing is also performed on the exercise time and calorie consumption, and when the exercise time and calorie consumption in each period reach the corresponding target value, the target value is similarly reached. A message to the effect and an audio output are performed.
According to such a biological information measuring device, effective exercise can be performed based on the output sound, and the exercise achievement status can be grasped.

JP 2013-223558 A

By the way, the user who exercises using the biological information measuring apparatus as described in the above-mentioned Patent Document 1 shows how much physical strength is improved by performing the exercise on a daily basis, and how much effect is achieved. There is a growing desire to know if it is going up.
However, in order to understand the effects of continuing exercise for a long period of time, it is generally necessary to perform a fatigue analysis by exercise test or blood test, and the user can easily grasp the effects. It ’s hard.
For this reason, the structure which can grasp | ascertain own exercise effect simply has been desired.

  An object of the present invention is to solve at least a part of the problems described above, and to provide an exercise effect presentation device, an exercise effect presentation system, and an exercise effect information generation method that can easily present exercise effects. One of the purposes.

  The exercise effect presentation device according to the first aspect of the present invention includes a biological information acquisition unit that acquires biological information of a user, a body movement information acquisition unit that acquires body movement information indicating the body movement of the user, and acquisition. A storage unit that stores the biometric information and the body motion information in association with a detection date, and a plurality of the detection dates when the biometric information and the body motion information are detected. An extraction unit that extracts a plurality of detection dates corresponding to detection dates satisfying a predetermined similarity condition based on at least one of the information, biological related information derived based on the biological information on the detection dates, and the detection dates And a presentation unit that presents the correlation with the body motion related information derived based on the body motion information in the comparability of the extracted corresponding detection dates.

In general, when the user exercises without exercise habits and when the user exercises with the same intensity with exercise habits, the pulse rate, exercise intensity and The former is higher in the former than in the latter. Moreover, the latter can carry out more exercises than the former in the user who does not have exercise habits and the user who has the exercise habits. In other words, the correlation between the body-related information such as the pulse rate derived based on the body information and the body motion-related information such as the pace derived based on the body motion information indicates that the user has acquired exercise habits. , And improve and improve as physical fitness improves and exercise provides an effect (eg, a chronic effect).
On the other hand, according to the first aspect, information based on at least one of the biological information and the body motion information satisfies a predetermined similarity condition from the detection date when the biological information and the body motion information are detected by the extraction unit. A plurality of corresponding detection dates that are detection dates are extracted. These corresponding detection dates are detection dates in which at least one of biological information and body motion information is similar, and these corresponding detection dates are always in a temporal relationship with each other. Then, the presenting unit presents the correlation between the biological related information and the body motion related information so as to be able to be compared for the plurality of extracted corresponding detection dates. As described above, this correlation is improved as the physical strength is improved and the above effect is obtained. By comparing the correlation for a plurality of corresponding detection dates, the user can obtain the effect of his / her exercise. Can be grasped. Such an exercise effect presentation device does not necessarily require fatigue analysis by the exercise load test or the blood test. Therefore, the effect of exercise can be presented easily.

Here, a general person does not always perform the same action every day, and the biological information and body movement information detected on each detection date vary greatly depending on the action content, physical condition, and the like. For this reason, even if the correlation is obtained based on the biological information and body motion information detected on each detection date, it is difficult to find the relevance.
On the other hand, in the first aspect, the extraction unit, from a plurality of detection dates, the detection date corresponding to a predetermined similarity condition in which information based on at least one of the biological information and the body motion information satisfies the predetermined similarity, that is, the biological information and the body motion. A plurality of relevant detection dates that are similar in at least one of the information are extracted. According to this, since the correlation between the corresponding detection dates on which similar biological information and body motion information are detected can be compared for a plurality of corresponding detection dates, it is easier to grasp the state of the user indicated by the correlation. can do. Therefore, information that makes it easy to grasp the effects of exercise can be presented to the user.

In the first aspect, it is preferable that the biological information is a pulse wave of the user, and the body motion information is an acceleration that changes with the body motion of the user.
Here, the pulse wave as the biological information of the user and the acceleration as the body motion information can be detected relatively easily by the pulse wave sensor and the acceleration sensor, respectively.
For this reason, according to the first aspect, since the correlation based on the pulse wave and acceleration is presented, it is not necessary to perform fatigue analysis by the exercise load test or the blood test, and the effect of exercise is further facilitated. Can be presented to the user.

In the first aspect, the living body related information is any one of a pulse rate calculated based on the pulse wave and an exercise intensity calculated based on the pulse rate, and the body motion related information is The pace is preferably calculated based on the change in acceleration.
The pulse rate is a pulse rate per unit time (for example, 1 minute). The exercise intensity is the intensity of the exercise for the user when performing a certain exercise, and can be calculated using an arithmetic expression such as a carbonnen method. The pace represents, for example, the number of steps per minute, and represents the objective intensity of walking and running exercise.
Here, in the correlation between the pulse rate and exercise intensity and the pace, a clear difference appears before and after the user is given exercise habits.
For this reason, according to the first aspect, since the correlation between the user's pulse rate or exercise intensity and the pace is shown, the correlation is compared for a plurality of corresponding detection dates that are temporally related to each other. By doing so, the user can easily grasp the effect of exercise. In addition, as described above, the pulse rate, exercise intensity, and pace can be derived relatively easily based on the pulse wave and acceleration, respectively. Therefore, the user can easily grasp the effect of the exercise and can more easily present the effect of the exercise.

In the first aspect, it is preferable that the presenting unit presents data indicating a correlation between the living body related information and the body motion related information on the corresponding detection date.
As such data, a regression line or regression curve obtained from the distribution of the pulse rate or exercise intensity calculated based on the detected biological information and the pace calculated based on the detected body motion information Can be exemplified.
According to the first aspect, since the data indicating the correlation is presented in a comparable manner for a plurality of corresponding detection dates, the user can easily grasp the change in the correlation on the plurality of corresponding detection dates.

In the first aspect, the presenting unit can compare the scatter diagram indicating the distribution of the biological body related information and the body motion related information detected on the corresponding detection date with respect to the plurality of extracted corresponding detection dates. It is preferable to present.
In addition, as a scatter diagram, the scatter diagram which shows distribution of the pulse rate or exercise intensity calculated based on the detected biometric information, and the pace calculated based on the detected body motion information is illustrated.
According to the first aspect, since the scatter diagram is presented for comparison with respect to a plurality of extracted corresponding detection dates, the correlation between the plurality of corresponding detection dates is similar to the case where the data is presented. The user can easily grasp the change of

In the first aspect, the similarity condition includes any of the user's pace being within a predetermined range and the difference in the pace on the plurality of detection dates being within another predetermined range. It is preferably included.
In addition, as a predetermined range, the range of the pace according to a user's target exercise intensity can be illustrated. In addition, the pace in the difference in pace on a plurality of detection dates can be exemplified by the maximum value or average value of the pace, and the other predetermined range can be exemplified by a range of about ± 10% of the reference pace.
Here, the maximum pulse rate and the maximum pace of the day are greatly different between the day when the exercise is performed and the day when the exercise is not performed. For this reason, it is difficult to grasp the effect of exercise even if the correlation on the detection date when the exercise is performed is compared with the correlation on the detection date when the exercise is not performed.
On the other hand, in the first aspect, the similarity condition includes either that the user's pace is within a predetermined range and that the difference in pace on a plurality of detection dates is within another predetermined range. Since it is included, for example, it can be suppressed that the detection date when the user does not exercise is extracted as the corresponding detection date. Therefore, it is possible to appropriately compare the correlations in the extracted corresponding detection dates.

In the first aspect, it is preferable that the similar condition includes that a period during which the pulse rate is equal to or greater than a predetermined value is equal to or greater than a predetermined time.
In addition, as a predetermined time, a user's target exercise | movement time can be illustrated.
According to the first aspect, it is possible to determine whether or not exercise has been performed on the detection day by determining whether or not a period in which the pulse rate is equal to or greater than a predetermined value on a certain detection day is equal to or greater than a predetermined time. . And the said correlation in the extracted some applicable detection date can be compared appropriately like the above by making the detection date with which exercise | movement was implemented into the applicable detection day which satisfy | fills the said similarity conditions.

In the first aspect, it is preferable that the similarity condition includes that the exercise intensity based on the pulse rate of the user is a predetermined value or more.
In addition, as a predetermined value, a user's target exercise intensity can be illustrated.
According to the first aspect, it can be determined whether or not sufficient exercise has been performed on the detection date by determining whether or not the exercise intensity on a certain detection date is equal to or greater than a predetermined value. Then, by setting the detection date on which sufficient exercise has been performed as the corresponding detection date that satisfies the above-mentioned similarity condition, it is possible to appropriately compare the correlations among the extracted corresponding detection dates.

In the first aspect, it is preferable that the similar condition includes that the user's resting pulse rate is within a predetermined range including an average value of the resting pulse rates on a plurality of the detection days. .
Here, as described above, the resting pulse varies depending on physical condition and the like. For example, the resting pulse on the next day after drinking or on poor physical condition tends to be relatively high. In this way, by determining the resting pulse, it can be determined whether or not the physical condition of the user on the day was relatively stable. Therefore, in the first aspect, the correlation between the plurality of stable corresponding detection dates can be compared by setting the detection date with relatively stable physical condition as the corresponding detection date satisfying the similar condition. .

In the first aspect, it is preferable that the living body related information and the body movement related information are respectively derived based on the living body information and the body movement information in a period classified during the day on the corresponding detection date.
Here, compared with the period classified into the daytime (for example, from about 9:00 am to about 6:00 pm), in other periods, the pulse rate fluctuates greatly and the resting pulse rate also increases. Furthermore, no exercise is performed during the sleep period.
For this reason, in the said 1st aspect, the detection period of the biological information and body motion information which derive | lead-out the said correlation is made into the daytime which is a period when it is easy to exercise and the fluctuation | variation of a pulse rate is comparatively small. This makes it easier to present the correlation based on biological information and body motion information during a period in which exercise is likely to be performed, and also presents the correlation based on a pulse rate with relatively small fluctuations. Therefore, it is possible to make it easier to compare the correlations among the extracted corresponding detection dates.

The exercise effect presentation device according to the second aspect of the present invention includes a pulse wave information acquisition unit that acquires a user's pulse wave information, a body motion information acquisition unit that acquires the user's body motion information, and the pulse wave. A storage unit that stores information and the body motion information in association with a detection date; pulse-related information that is derived based on the pulse wave information on the detection date; and a body motion information that is derived on the detection date. And a presentation unit that presents the correlation with the rhythm so as to be identifiable with respect to the detection date.
According to the said 2nd aspect, there can exist an effect similar to the exercise effect presentation apparatus which concerns on the said 1st aspect.

The exercise effect presentation system according to a third aspect of the present invention detects the biological information and the body motion information of the user, and the detected biological information and the body motion information. And a detection device that transmits the exercise effect presentation device.
According to the said 3rd aspect, there can exist an effect similar to the exercise effect presentation apparatus which concerns on the said 1st aspect or the said 2nd aspect. In addition, since the detection device transmits the biological information and the body motion information detected from the user to the exercise effect presentation device, the motion is compared with the case where the biological information and the body motion information are input to the exercise effect presentation device. The effect presentation device can acquire accurate biological information and body movement information more easily.

The exercise effect information generation method according to the fourth aspect of the present invention is the exercise effect information generation method for generating information capable of grasping the effect of exercise performed by the user, wherein the user's biological information and body motion information are From a plurality of detected detection dates, a plurality of detection dates corresponding to detection dates in which information based on at least one of the biological information and the body motion information satisfies a predetermined similarity condition are extracted, and the extracted detection dates are The correlation between the biological related information derived based on the biological information and the body motion related information derived based on the body motion information on the corresponding detection date is compared for the extracted corresponding detection dates. It is characterized by generating possible information.
According to the fourth aspect, the exercise effect information generation method is performed by an information processing device such as a biological information measurement device, a smartphone, a tablet, and a PC (Personal Computer), and the information processing device and other devices are By presenting the generated information, the same effect as the exercise effect presentation device according to the first aspect can be achieved.

The schematic diagram which shows the structure of the biometric information measurement system which concerns on one Embodiment of this invention. The block diagram which shows the structure of the detection apparatus in the said embodiment. The block diagram which shows the structure of the control part of the detection apparatus in the said embodiment. The block diagram which shows the structure of the information processing apparatus in the said embodiment. The block diagram which shows the structure of the control part of the information processing apparatus in the said embodiment. The figure which shows the scatter diagram of the pace of the applicable detection day of the time which started using the biological information measuring system in the said embodiment, and exercise intensity. The figure which shows the scatter diagram of the pace and exercise intensity in the applicable detection day of the time comparatively close to the present in the said embodiment. The figure which shows the line graph which is an example of the presentation information in the said embodiment. The figure which shows the graph which is another example of the presentation information in the said embodiment. The figure which shows the graph which is another example of the presentation information in the said embodiment. The flowchart which shows the effect presentation process in the said embodiment.

Hereinafter, an embodiment of the present invention will be described with reference to the drawings.
[Schematic configuration of biological information measurement system]
FIG. 1 is a schematic diagram illustrating a configuration of a biological information measurement system 1 according to the present embodiment.
A biological information measurement system 1 according to the present embodiment includes a detection device 2 and an information processing device 3 that can communicate with the detection device 2. In the biological information measurement system 1, the detection device 2 detects the user's biological information and body movement information and transmits the information to the information processing device 3. On the other hand, the information processing apparatus 3 stores the received biological information and body movement information, processes the information, and presents the presentation information that can identify and grasp the effect of the exercise continuously performed by the user. To do. That is, the biological information measurement system 1 includes the exercise effect presentation system of the present invention.
Hereinafter, each configuration of the biological information measurement system 1 will be described.

FIG. 2 is a block diagram illustrating the configuration of the detection device 2.
The detection device 2 is a wearable device that is worn and used by a user. As described above, the detection device 2 detects the user's biological information and body motion information, and transmits the detected biological information and body motion information to the information processing device 3.
As shown in FIG. 2, such a detection device 2 includes an operation unit 21, a detection unit 22, a reception unit 23, a notification unit 24, a communication unit 25, a storage unit 26, a signal processing unit 27, and a control unit 28. These parts 21 to 27 are electrically connected to each other by a bus line BL.

[Configuration of operation unit]
The operation unit 21 has a plurality of buttons arranged in the outer case of the detection device 2, and outputs an operation signal corresponding to the input (pressed) button to the control unit 28. Note that the operation unit 21 is not limited to a configuration having buttons, and may be a touch panel arranged on a display unit 241 to be described later or a configuration for detecting a user's tap operation.

[Configuration of detector]
The detection unit 22 includes a biological information detection unit 221 and a body movement information detection unit 222 that detect the user's biological information and body movement information, respectively, and outputs the detection results thereof to the control unit 28.
The biological information detection unit 221 detects the biological information of the user who is equipped with the detection device 2. In the present embodiment, the biological information detection unit 221 detects a pulse wave as biological information and outputs a pulse wave signal indicating the pulse wave. However, other biological information such as an electroencephalogram, an electrocardiogram, and a body temperature is further added. It is good also as a structure to detect.
The body motion information detection unit 222 detects acceleration that changes according to the user's body motion as the body motion information of the user, and outputs an acceleration signal indicating the change in the acceleration.

[Receiver configuration]
The receiving unit 23 acquires position information indicating the current position of the detection device 2 (position information indicating the current position of the user). Such a receiving unit 23 corresponds to a satellite positioning system such as GPS (Global Positioning System), and can be configured by a module that acquires the position information based on radio waves received from the satellite. The receiving unit 23 may be configured to calculate position information using communication radio waves.

[Configuration of notification unit]
The notification unit 24 notifies various information under the control of the control unit 28. This alerting | reporting part 24 alert | reports the operation state of the detection apparatus 2, and the detected biological information and body movement information, for example. Such a notification unit 24 includes a display unit 241, a sound output unit 242, and a vibration unit 243.
The display unit 241 has a display such as a liquid crystal and displays an image corresponding to the image signal input from the control unit 28.
The audio output unit 242 includes an audio output unit such as a speaker, and outputs audio corresponding to audio information input from the control unit 28.
The vibration unit 243 has a motor whose drive is controlled by the control unit 28, and notifies the state of the detection device 2 by vibration generated by driving the motor.

[Configuration of communication section]
The communication unit 25 includes a communication module that can communicate with an external device such as the information processing apparatus 3. The communication unit 25 is, for example, the biological information and body motion information detected by the detection unit 22 and stored in the storage unit 26 under the control of the control unit 28, and the pulse rate and pace calculated based on the information. (Pitch) is transmitted to the external device. In the present embodiment, the communication unit 25 communicates wirelessly with the information processing device 3 using a short-range wireless communication method, but may communicate with the information processing device 3 via a relay device such as a cradle. The information processing device 3 may be communicated with the information processing device 3 via a cable. Further, the communication unit 25 may communicate with an external device via a network.

[Configuration of storage unit]
The storage unit 26 is configured by a non-volatile semiconductor memory such as a flash memory, and stores programs and data necessary for the operation of the detection device 2.
The storage unit 26 stores the biological information and body motion information detected by the detection unit 22, and the control unit 28 (to be described later) analyzes the biological information and body motion information to obtain the pulse rate, pace, Information such as exercise intensity is stored.

[Configuration of signal processor]
The signal processing unit 27 includes a signal processing circuit such as a DSP (Digital Signal Processor), and executes signal processing of biological information (pulse wave signal) and body motion information (acceleration signal) detected by the detection unit 22.
For example, the signal processing unit 27 removes a body motion noise component based on the acceleration signal detected by the body motion information detection unit 222 from the pulse wave signal detected by the biological information detection unit 221 to obtain a pulsation signal. The signal processing unit 27 performs frequency analysis such as FFT (Fast Fourier Transform) on the pulsation signal and the acceleration signal, and outputs the obtained processing result (power spectrum) to the control unit 28. To do.

[Configuration of control unit]
FIG. 3 is a block diagram showing a configuration of the control unit 28.
The control unit 28 includes a processing circuit such as a CPU (Central Processing Unit) and controls the operation of the detection device 2 autonomously or according to an operation signal input from the operation unit 21 in response to a user operation. To do. For example, the control unit 28 analyzes various processing results of the signal processing unit 27 and transmits various types of information to the information processing apparatus 3.
Such a control unit 28 is a functional unit realized by the processing circuit executing a program stored in the storage unit 26. As shown in FIG. 3, the control unit 28 includes a time measuring unit 281, a detection control unit 282, and notification control. A unit 283, a communication control unit 284, an information acquisition unit 285, an analysis unit 286, and an information transmission unit 287.

The timer unit 281 measures the current date and time.
The detection control unit 282 controls the operation of the detection unit 22. For example, if the detection control unit 282 determines that the detection device 2 is not worn by the user, the detection control unit 282 stops the detection of the biological information by the biological information detection unit 221 and reduces power consumption.
The notification control unit 283 controls the operation of the notification unit 24. For example, the notification control unit 283 outputs notification information including a display and sound indicating the operation state of the detection device 2 and the detection result by the detection unit 22 to the notification unit 24, and sends the notification information to the notification unit 24. Let me know. Further, the notification control unit 283 drives the motor of the vibration unit 243 as necessary, and notifies predetermined information by vibration generated by driving the motor.
The communication control unit 284 controls the operation of the communication unit 25.

The information acquisition unit 285 acquires various signals and information input from the operation unit 21, the detection unit 22, the reception unit 23, the communication unit 25, and the signal processing unit 27. For example, the information acquisition unit 285 includes the biological information and body movement information input from the detection unit 22, the position information input from the reception unit 23, and the frequency analysis processing result input from the signal processing unit 27. The data is stored in the storage unit 26.
The analysis unit 286 analyzes the detected biological information and body motion information. Specifically, the analysis unit 286 specifies the pulse and body motion frequencies from the processing result of the frequency analysis input from the signal processing unit 27, and the pulse and body motion frequencies are multiplied by a predetermined number (for example, 60 times). By doing so, the user's pulse rate and the pace indicating the user's exercise state are calculated. Then, the analysis unit 286 causes the storage unit 26 to store such analysis results of biological information and body motion information.

If the information transmission unit 287 is in a state where communication with the information processing device 3 is possible via the communication unit 25, the information transmission unit 287 stores various types of information stored in the storage unit 26 (respectively detected and acquired biological information, body motion information, and The position information and the analysis result by the analysis unit 286 are sequentially transmitted to the information processing apparatus 3. At this time, the information transmission unit 287 transmits the information to be transmitted including the various information and date / time information indicating the detection date / time of the biological information and body motion information to be transmitted.
The information transmission unit 287 is configured to input an operation signal corresponding to a predetermined input operation from the operation unit 21, receive predetermined request information from the information processing device 3 via the communication unit 25, or The various types of information may be transmitted to the information processing device 3 every predetermined time.
Hereinafter, the biological information, body motion information, position information, the analysis result by the analysis unit 286, and the date / time information stored in the storage unit 26 may be collectively referred to as detection result information.

[Configuration of information processing device]
Returning to FIG. 1, the information processing device 3 corresponds to the exercise effect presentation device of the present invention, and is configured by an information terminal device such as a smartphone (multifunctional mobile phone), a tablet, and a PC (Personal Computer). As described above, the information processing device 3 stores and manages detection result information received from the detection device 2.
In addition, the information processing device 3 analyzes the detection result information and presents an effect (chronic effect) by the user's exercise.

Here, the effects of exercise can be classified into ultra-short-term effects, short-term effects, and long-term effects.
Ultra-short-term effects include effects such as energy supply to muscles during exercise and suppression of blood glucose level increase due to recovery of muscle glycogen after exercise, and last for several hours to one day after exercise. It is an effect.
The short-term effect is, for example, a temporary improvement in insulin resistance by exercise (that is, expression of the glucose transporter Glut4), and is an effect that is sustained for approximately 3 days after exercise.
Chronic effects are said to be long-term effects, and include improvement of long-term insulin resistance, reduction of visceral fat, and improvement of exercise capacity, and the effects appear when exercise is continued for at least 30 days. This is an effect that can be realized through continuous implementation for several months. Examples of the improvement in exercise ability included in such a chronic effect include a decrease in the rate of increase in pulse rate or exercise intensity with respect to the pace during exercise.
And the information processing apparatus 3 produces | generates the presentation information which can recognize a chronic effect among these effects by analyzing the said detection result information detected and acquired on several days (detection day), and the said Present the presentation information to the user.

FIG. 4 is a block diagram illustrating a configuration of the information processing apparatus 3.
As shown in FIG. 4, the information processing apparatus 3 includes an operation unit 31, a notification unit 32, a communication unit 33, a storage unit 34, and a control unit 35, and these units 31 to 35 are connected by a bus line BL. They are electrically connected to each other.

[Configuration of operation unit]
Similar to the operation unit 21, the operation unit 31 accepts an input operation by the user and outputs an operation signal corresponding to the input operation to the control unit 35. Such an operation unit 31 can be configured by, for example, a physical key or a touch panel provided on the housing of the information processing apparatus 3, or by a keyboard and a pointing device connected to the information processing apparatus 3 by wire or wirelessly. Can be configured.

[Configuration of notification unit]
The notification unit 32 notifies the user of various types of information under the control of the control unit 35. The notification unit 32 includes a display unit 321 and an audio output unit 322.
The display unit 321 includes various display panels such as a liquid crystal display, and displays a predetermined image under the control of the notification control unit 352 described later. For example, as such an image, a screen including presentation information generated by a presentation information generation unit 357 described later can be given.
The audio output unit 322 is configured to include audio output means such as a speaker, and outputs audio corresponding to audio information input from the control unit 35.
In addition, the alerting | reporting part 32 does not have a vibration part unlike the alerting | reporting part 24 of the said detection apparatus 2, For example, when the information processing apparatus 3 is comprised with the smart phone and the tablet, the structure which has a vibration part. It is good.

[Configuration of communication section]
The communication unit 33 includes a communication module capable of communicating with the detection device 2 and a second communication module capable of communicating with an external device on a network such as the Internet, and communicates with each device under the control of the control unit 35. To do. Note that the communication unit 33 includes one of the first communication module and the second communication module when the communication unit 33 can communicate with the external device using the same communication method as that used when communicating with the detection device 2. That's fine.

[Configuration of storage unit]
The storage unit 34 includes an HDD (Hard Disk Drive), an SSD (Solid State Drive), or a flash memory, and stores various programs and data necessary for the operation of the information processing apparatus 3. As such a program, the memory | storage part 34 has memorize | stored the exercise management application containing the effect presentation program for performing OS (Operating System) and the effect presentation process mentioned later, for example. Moreover, the memory | storage part 34 has memorize | stored the connection information for communicating with the said detection apparatus 2, for example as the said data.
Further, the storage unit 34 stores the detection result information received from the detection device 2 by the communication unit 33. At this time, the storage unit 34 detects the biological information, the body motion information, the position information, and the analysis result based on the date / time information included in the acquired detection result information, and detects the biological information, the body motion information, and the position information. It memorize | stores so that distinction is possible for every day and acquisition date.

[Configuration of control unit]
FIG. 5 is a block diagram illustrating a configuration of the control unit 35.
The control unit 35 includes a CPU (Central Processing Unit), and controls the operation of the information processing device 3 by executing a program stored in the storage unit 34. Such a control unit 35 includes an OS execution unit 35A and an AP execution unit 35B.

[Configuration of OS execution unit]
The OS execution unit 35A is a functional unit that executes the OS stored in the storage unit 34, and includes a timer unit 351, a notification control unit 352, and a communication control unit 353.
The time measuring unit 351 measures the current date and time.
Although not shown, the notification control unit 352 includes a display control unit and a sound output control unit. Among these, the display control unit draws an image of an execution screen of a program such as an OS or various applications, and causes the display unit 321 to display the image. Further, the audio output control unit outputs an audio signal of an audio to be output when the program is executed, and causes the audio output unit 322 to output the audio.
The communication control unit 353 controls communication with an external device by the communication unit 33.

[Configuration of AP execution unit]
The AP execution unit 35B executes an application instructed by the OS execution unit 35A according to an operation signal input from the operation unit 31 among the applications stored in the storage unit 34. The AP execution unit 35B includes an information acquisition unit 354, an analysis unit 355, an extraction unit 356, and a presentation information generation unit 357 that function when the exercise management application is executed.

  The information acquisition unit 354 corresponds to the biological information acquisition unit, the body motion information acquisition unit, and the pulse wave information acquisition unit of the present invention, acquires the detection result information received from the detection device 2 by the communication unit 33, and The detection result information is stored in the storage unit 34. At this time, as described above, the information acquisition unit 354 stores various information included in the detection result information in the storage unit 34 so as to be distinguishable for each detection date based on the date / time information included in the detection result information.

The analysis unit 355 analyzes the detection result information stored in the storage unit 34, that is, the detection result information received from the detection device 2. Specifically, the analysis unit 355 calculates the user's pulse rate and pace based on the biological information (pulse wave signal) and body motion information (acceleration signal) included in the detection result information. At this time, the analysis unit 355 calculates the pulse rate and pace for each predetermined time on the detection date when the biological information and body motion information are detected, and stores the calculated pulse rate and pace for each detection date. 34 is stored.
Further, the analysis unit 355 specifies or calculates a resting pulse rate based on the calculated pulse rate, and based on the resting pulse rate and the maximum pulse rate previously input by the user or a medical worker. The exercise intensity of each detection day (for example, the exercise intensity calculated by the carbonnen method) is calculated.
When these pulse rate, pace, and exercise intensity are calculated by the analysis unit 286 of the detection device 2 and included in the detection result information, the calculation process of the pulse rate, pace, and exercise intensity by the analysis unit 355 is as follows. It is not necessary to carry out.
Further, the analysis unit 355 calculates an average value of the resting pulse rate from the resting pulse rate (minimum pulse rate) for each detection day.

The extraction unit 356 extracts a plurality of corresponding detection dates, which are detection dates that satisfy a predetermined similarity condition, from a plurality of detection dates in which the biological information and body motion information stored in the storage unit 34 are detected. Such similar conditions include the following first to fourth conditions.
The first condition is that the calculated daily pace is within a predetermined range. As such a range, for example, it is presumed that it is recorded when a user performs a conscious exercise (hereinafter referred to as conscious exercise) for the purpose of improving physical fitness, health promotion or disease state improvement. The range of pace is mentioned. For example, a range of 45 or more and 240 or less is given as such a range of pace. An example of a day when the first condition for which such a range is set is not satisfied is a day when no conscious exercise has been performed.
Instead of such a first condition, the difference from the reference pace (eg, the reference detection date step) is within a predetermined range (eg, within a range of about ± 10% of the reference pace). ) May be the first condition. The detection date serving as such a reference may be a date on which daily exercise is started, a current date (current day), or a date set by the user. Further, the reference pace may be a preset value.

  The second condition is that the calculated daily exercise intensity is within a predetermined range (at least a predetermined value or more). Examples of such a range include a range of exercise intensity estimated to be recorded when the conscious exercise is performed. An example of a day on which the second condition for which such a range is set is not satisfied is a day on which no conscious exercise has been performed, as in the first condition.

  The third condition is that the daily resting pulse rate is within a predetermined range. As such a range, for example, a range that is equal to or greater than a value obtained by subtracting a predetermined value from the average value of resting pulses on each detection day and equal to or less than a value obtained by adding the predetermined value to the average value. In addition, examples of the predetermined value include a value that is a predetermined number of times (for example, three times) the standard deviation of the resting pulse. An example of a day on which the third condition for which such a range has been set is not satisfied is a day after drinking that the pulse at rest is relatively high.

The fourth condition is that the pulse rate calculated based on the detected biological information (pulse wave signal) reaches the target pulse rate preset as a target when the user performs the conscious exercise. The period of time is equal to or longer than a predetermined time. Such a target pulse rate and predetermined time may be set by the user or may be set by a medical worker. An example of a day on which such a fourth condition is not satisfied is a day on which sufficient conscious exercise has not been performed.
Based on these first to fourth conditions, the extraction unit 356 extracts a plurality of detection dates having similar pulse rates, paces, and exercise intensities based on the biological information and body motion information as corresponding detection dates.
In the present embodiment, the extraction unit 356 extracts a detection date that satisfies all of the first to fourth conditions as a corresponding detection date. However, the present invention is not limited to this, and the extraction unit 356 may be configured to extract a detection date that satisfies at least one of the first to fourth conditions as the corresponding detection date. For example, when a detection date that satisfies all of the first to fourth conditions is not extracted, the extraction conditions may be reduced from these conditions. In addition, when the extraction unit 356 extracts a detection date that satisfies a plurality of conditions among the above four conditions as a corresponding detection date, the combination of the plurality of conditions can be changed as appropriate.

  The presentation information generation unit 357 constitutes the presentation unit of the present invention together with the notification unit 32 (specifically, the display unit 321). The presentation information generation unit 357 is a body derived based on biological information derived based on biological information on a plurality of relevant detection dates extracted by the extraction unit 356 and body motion information on the relevant detection dates. Information (presentation information, data) that can be compared for a plurality of corresponding detection dates extracted with the correlation with the motion related information is generated. More specifically, the presentation information generation unit 357 is derived based on the extracted biological information within a predetermined period on a plurality of corresponding detection dates, and changes in accordance with the strength of the exercise performed by the user. And presentation information that can be compared for each detection date with the correlation between the body motion related information derived based on the body motion information within the predetermined period. More specifically, the presentation information generation unit 357 detects the exercise intensity (biologically related information, pulse related information) based on the pulse wave signal detected during the day on the plurality of extracted corresponding detection dates, and the daytime. Presentation information that can be compared for each corresponding detection date with the correlation with the pace (body movement related information) based on the body movement information thus generated is generated.

FIG. 6 is a diagram showing a scatter diagram DM1 of pace and exercise intensity on the corresponding detection date at the time when the biological information measuring system 1 is started to be used among the corresponding detection days extracted by the extraction unit 356.
Hereinafter, the corresponding detection date at which the extraction unit 356 has started using the biological information measurement system 1 (hereinafter referred to as the initial corresponding date) and the corresponding detection date at a time relatively close to the present (hereinafter referred to as the most recent corresponding date). ) Is extracted, but in reality, more relevant detection dates may be extracted.
Among the plurality of corresponding detection dates extracted by the extraction unit 356, the initial corresponding date when the user starts using the biological information measurement system 1, that is, the time when the conscious exercise is started to be carried out on a daily basis. 6 is a scatter diagram DM1 shown in FIG. 6 as data indicating the correlation between exercise intensity and pace on the first relevant day.
Then, the regression line L1 of the pace and exercise intensity calculated based on the biological information (pulse wave signal) and body motion information (acceleration signal) at the beginning of the corresponding day becomes a straight line indicated by a dashed line in FIG. The slope of the regression line L1 (that is, the rate of increase in exercise intensity with respect to the pace) is relatively large.

FIG. 7 is a diagram showing a scatter diagram DM2 of pace and exercise intensity on the most recent day.
On the other hand, the user performs the conscious exercise on a daily basis, that is, the most recent corresponding day that is the relevant detection date near the present time when a long time has passed since the user used the biological information measurement system 1. A scatter diagram as data indicating the correlation between the pace and the exercise intensity on the most recent corresponding day of the time is as a scatter diagram DM2 shown in FIG.

Then, the regression line L2 of the pace and exercise intensity calculated based on the biological information and the body motion information of the latest relevant day becomes a straight line shown by a solid line in FIG. 7, and the slope of the regression line L2 is the above regression line. Smaller than the slope of L1. Such a slope of the regression line indicates the rate of increase in exercise intensity and pulse rate as the pace increases, as described above. From this, the smaller slope of the regression line indicates that even when exercise of the same intensity (severity) is performed, the cardiopulmonary function is increased and the pulse rate is difficult to increase. Improve and show a chronic effect.
In this embodiment, the exercise intensity is calculated based on the carbonnen method, and when the pace is “0”, it is assumed that the exercise intensity is “0”. The included regression lines L1 and L2 are regression lines passing through the origin. However, the present invention is not limited to this, and a regression line drawn by another method may be used as long as it is a regression line indicating the relationship between pace and exercise intensity.

FIG. 8 is a diagram illustrating an example of the presentation information generated by the presentation information generation unit 357, and is a diagram illustrating a line graph LG including the regression lines L1 and L2. The horizontal axis and vertical axis of the line graph LG are the same as those in the scatter diagram DM1.
The presentation information generation unit 357 generates the line graph LG shown in FIG. 8 in addition to the scatter diagrams DM1 and DM2 as data that allows the correlation between the pace and the exercise intensity to be compared for each corresponding detection date.
The line graph LG includes the regression lines L1 (dashed lines) and L2 (solid lines). Therefore, by comparing the slopes of the regression lines L1 and L2, the user can grasp the improvement of his / her physical strength and the increase of the chronic effect. Note that the regression line included in the line graph LG may be drawn according to each of a plurality of extracted corresponding detection dates. In addition, as described above, the corresponding detection date further extracted from the corresponding detection date under a predetermined condition, for example, the initial corresponding date that is the corresponding detection date when the biological information measurement system 1 is started to be used, and the user You may draw only the regression lines L1 and L2 with the latest relevant day that is the relevant detection date near the present time when a long period of time has passed since the use of the biological information measurement system 1.
The line graph LG shows a regression line L3 (dotted line) corresponding to the user's goal, and the user's motivation to exercise can be enhanced by comparing these regression lines L1 to L3. Such a regression line L3 is not limited to a straight line according to the user's target, and may be a straight line according to the state of physical strength of the athlete.

  In addition, although the illustration is omitted, the presentation information generation unit 357 may generate the presentation information including a graph in which scatter diagrams of the corresponding detection dates are superimposed as the presentation information including the data. In this case, the correlation between the pace and the exercise intensity can be compared for each detection day by representing the points included in the graph (the points indicating the exercise intensity according to the pace) with different colors for each corresponding detection day. .

FIG. 9 is a diagram illustrating another example of the presentation information generated by the presentation information generation unit 357. Each point of the line graph LG and each of the scatter diagrams DM1 and DM2 (exercise intensity corresponding to the pace) is shown. It is a figure which shows graph GR1 including range A1, A2 of a point. The horizontal axis and the vertical axis of the graph GR1 are the same as those in the scatter diagram DM1.
Note that the presentation information generation unit 357 may generate the graph GR1 illustrated in FIG. 9 as data included in the presentation information. The graph GR1 includes the extracted regression line for each corresponding detection day, the regression line corresponding to the target, and a range of points indicating exercise intensity corresponding to the pace for each corresponding detection day. For example, in the graph GR1 based on the detection information on the initial relevant date and the most recent relevant date, as shown in FIG. 9, the regression lines L1, L2 of the relevant date, the regression line L3, and the pace on each relevant date are shown. A range of points A1 and A2 indicating the exercise intensity according to. By comparing the regression lines (for example, the regression lines L1, L2) shown in the graph GR1 with each other and comparing the ranges (for example, the ranges A1, A2) with each other, the past and the present can be more specifically described. Compare physical strength and chronic effects of users.

FIG. 10 is a diagram illustrating another example of the presentation information generated by the presentation information generation unit 357, and is a diagram illustrating a graph GR2 in which the correlation between exercise intensity and pace can be compared for each corresponding detection date. The horizontal axis of the graph GR2 is an axis indicating the date, and the vertical axis is a rate of change in pace with respect to the pulse rate, in other words, an axis indicating the reciprocal of the slopes of the regression lines L1 and L2.
Furthermore, the presentation information generation unit 357 may generate a graph GR2 illustrated in FIG. 10 as data included in the presentation information. This graph GR2 is a graph in which the rate of change in pace with respect to the pulse rate on each relevant detection day, that is, the slope of each regression line calculated based on the detection information on each relevant detection day can be compared. It is a graph including the straight line which connected the point which shows the reciprocal number of the inclination of the regression line for every day.
For example, in the graph GR2 based on the detection information of the initial relevant day D1 and the latest relevant day D2, the points indicating the reciprocal of the slopes of the regression lines L1 and L2 of the relevant days D1 and D2 are shown in FIG. The connected straight line L4 is included. That is, in the graph GR2, the reciprocal of the slopes of the regression lines L1 and L2 is an effect confirmation index indicating the improvement in physical strength and the improvement in chronic effect. When three or more relevant detection dates are extracted and the points indicating the reciprocal of the slope of each regression line are not on the same straight line, an approximate line or approximate curve obtained from these points is obtained. And is drawn on the graph GR2.
By referring to such a graph GR2 and comparing the effect confirmation index that is the reciprocal of the slope for each corresponding detection day, the user can confirm the improvement of physical fitness and the improvement of chronic effect.

As described above, the presentation information generation unit 357 generates presentation information that can compare the correlation between the pace and the exercise intensity based on the biological information and the body motion information detected on the corresponding detection day for each corresponding detection day. Instead of this, or in addition, the presentation information generation unit 357 generates data that can compare the correlation between the pulse rate and the pace based on the biological information and the body motion information detected on the corresponding detection day for each corresponding detection day. Including presentation information may be generated. In this case, the presentation information generation unit 357 determines the resting pulse rate from the pulse rate calculated based on the detected biological information (pulse wave signal) (for example, resting from 6:00 am to 12:00 am on the corresponding detection date). Using a pulse rate obtained by subtracting the average value of the hourly pulse rate, a regression line and a scatter diagram showing the correlation between the pulse rate and the pace, and further including graphs such as the above-mentioned line graph LG and graphs GR1 and GR2 are presented. Generate information.
The presentation information generated by the presentation information generation unit 357 is displayed on the display unit 321 by the notification control unit 352. The content of the presentation information displayed on the display unit 321 is switched according to the user's input operation on the operation unit 31.

[Effect presentation processing]
FIG. 11 is a flowchart showing the effect presentation processing.
The control unit 35 of the information processing device 3 is included in the exercise management application when an operation signal corresponding to a predetermined input operation is input from the operation unit 31 when the exercise management application stored in the storage unit 34 is executed. The effect presentation process is executed to generate and display the presentation information.
In this effect presentation process, as shown in FIG. 11, first, the information acquisition unit 354 acquires the detection result information received from the detection device 2 by the communication unit 33 (step SA1).
Thereafter, the analysis unit 355 analyzes the acquired detection result information, and calculates the pulse rate, pace, and exercise intensity, and the average value of the resting pulse rate for each detection day (step SA2). . Note that, as described above, depending on the processing content of the analysis unit 286 of the detection device 2, some processing by the analysis unit 355 can be omitted.

Next, the extraction unit 356 extracts a plurality of the corresponding detection dates based on the analysis result by the analysis unit 355 and the similar condition (step SA3).
And the presentation information generation part 357 contains the data which can compare the correlation with exercise intensity (or a pulse rate) and a pace with respect to the said several corresponding detection days based on the information of the extracted several corresponding detection days. The presentation information is generated (step SA4). This presentation information is displayed on the display unit 321 by the notification control unit 352 (display control unit). Note that the presentation information may be transmitted to the detection device 2 by the communication unit 33 under the control of the communication control unit 353 and displayed on the display unit 241 of the detection device 2.
Thus, the effect presentation process is terminated.

[Effect of the embodiment]
The biological information measuring system 1 according to the present embodiment described above has the following effects.
Since a plurality of corresponding detection dates extracted as detection dates satisfying the above-mentioned similarity condition from the detection date when the biological information and the body motion information are detected by the extraction unit 356, there is a temporal relationship with each other. The corresponding detection date close to the present time and the corresponding detection date close to the start of use of the biological information measurement system 1 can be extracted. Then, the presentation information generation unit 357 can compare the correlation between the exercise intensity (or pulse rate) as the biological related information on the extracted corresponding detection date and the pace as the body motion related information with respect to the corresponding detection date. Presentation information including data (for example, the line graph LG, scatter diagram DM1, DM2, graph GR1, or graph GR2) is generated, and the presentation information is displayed on the display unit 321. These correlations between exercise intensity (or pulse rate) and pace are improved and improved as physical fitness improves and chronic effects are obtained. The person can grasp the effect by his / her exercise. And in such a biological information measuring system 1, the said presentation information can be shown, without performing the fatigue analysis by an exercise load test or a blood test. Therefore, the effect of exercise can be presented easily and simply.

  In addition, the extraction unit 356 extracts a plurality of corresponding detection dates for which information based on biological information and body motion information satisfies all of the first to fourth similar conditions from a plurality of detection dates. According to this, since the correlations based on the biological information and the body motion information similar to each other on the corresponding detection date can be compared with each other, it is possible to make it easier to grasp the state of the user indicated by these correlations. Therefore, information that makes it easy to grasp the effects of exercise can be presented to the user. Note that, as described above, even when at least one of the first to fourth conditions is used as the extraction condition for the corresponding detection date, a plurality of corresponding detection dates with similar biological information and body motion information can be extracted.

  Based on the pulse wave (pulse wave signal) as biological information and the acceleration (acceleration signal) as body motion information, the information processing device 3 generates presentation information that can compare the correlation for each detection day. . Since these pulse waves and acceleration can be detected relatively easily by the pulse wave sensor and the acceleration sensor, respectively, it is possible to more easily present the effect of exercise to the user without requiring fatigue analysis by exercise load test or blood test. .

  Here, in the correlation between the pulse rate and exercise intensity and the pace, a clear difference appears before and after the user is given exercise habits. In contrast, the presentation information generation unit 357 generates and displays presentation information that can be compared for a plurality of corresponding detection dates with respect to the correlation between the exercise intensity (or pulse rate) of the user and the pace. According to this, the correlation can be compared for a plurality of corresponding detection dates that are temporally related to each other, and the user can easily grasp the effect of exercise. In addition, exercise intensity (or pulse rate) and pace can be calculated relatively easily based on the pulse wave and acceleration, respectively. Therefore, the user can easily grasp the effect of exercise and can more easily present the effect of the exercise.

  The line graph LG or the graph GR1, which is data included in the presentation information generated and displayed by the presentation information generation unit 357, is calculated based on the biological information and body movement information on the corresponding detection date, respectively. Alternatively, regression lines L1 and L2 indicating the correlation between the pulse rate and the pace are included, and these are displayed so as to be comparable with each other. According to this, the user can easily grasp the change in the correlation of each corresponding detection date.

  The presentation information generated and displayed by the presentation information generation unit 357 includes scatter diagrams DM1 and DM2 of exercise intensity (or pulse rate) and pace on each detection date as the above data, and the presentation information The graph GR1 included includes exercise intensity (or pulse rate) and pace ranges A1 and A2 on each corresponding detection date. By confirming such presentation information, the exercise intensity (or pulse rate) and pace distribution can be ascertained for each relevant detection day, so that the correlation for each relevant detection day is similar to the case where the line graph LG is presented. The user can easily grasp the change in the relationship.

Here, the maximum pulse rate and the maximum pace of the day are greatly different between the day when the conscious exercise is performed and the day when the conscious exercise is not performed. For this reason, the correlation on the detection date when the conscious exercise is performed cannot be properly compared with the correlation on the detection date when the conscious exercise is not performed.
On the other hand, the similar condition includes, as the first condition, that the user's pace on a day is within a predetermined range, or that the difference from the reference pace is within a predetermined range. . According to this, the day on which the conscious exercise is performed can be extracted as the corresponding detection date, and the detection date on which the conscious exercise is not performed can be suppressed from being extracted as the corresponding detection date. Accordingly, the correlation between the extracted corresponding detection dates can be appropriately compared.

  The similar condition includes, as a second condition, that the exercise intensity calculated based on the pulse rate on the detection date is greater than or equal to a predetermined value. According to this, when the second condition is satisfied, it can be determined that sufficient conscious exercise has been performed as described above, and therefore the detection date on which the conscious exercise has been performed is determined as the similar condition. Can be extracted as the corresponding detection date. Therefore, similarly to the above, it is possible to appropriately compare the correlations of the extracted corresponding detection dates.

  The similar condition includes, as a third condition, that the daily resting pulse rate is within a predetermined range including the average value of the resting pulse rate on each detection day. Here, as described above, since the pulse at rest varies depending on the physical condition and the like, the detection date on which the third condition is satisfied is extracted to detect the detection day on which the physical condition is relatively stable. Can be extracted as a day. Therefore, the above correlation between the corresponding detection dates can be compared.

  The similar condition includes, as a fourth condition, a period during which the pulse rate has reached the target pulse rate on the detection date is a predetermined time or more. According to this, when the fourth condition is satisfied, it can be determined that sufficient conscious exercise has been performed, so the detection date on which the conscious exercise has been performed is determined as the corresponding detection date that satisfies the similar condition. Can be extracted as Therefore, similarly to the above, it is possible to appropriately compare the correlations of the extracted corresponding detection dates.

Here, compared with the period classified into daytime (for example, from about 9 am to about 6 pm), the fluctuation | variation of a pulse rate is large in the other period. Moreover, in the period classified into daytime, although the probability that exercise | movement will be implemented is high, naturally exercise | movement is not implemented in a sleep period.
For this reason, the presentation information generation unit 357 sets the detection period of the biological information and the body motion information for deriving the correlation as the daytime during which exercise is easy to be performed and the fluctuation of the pulse rate is relatively small. This makes it easier to present the correlation based on biological information and body motion information during a period in which exercise is likely to be performed, and also presents the correlation based on a pulse rate with relatively small fluctuations. Therefore, it is possible to easily compare the correlation for each detection day.

[Modification of Embodiment]
The present invention is not limited to the above-described embodiment, and modifications, improvements, and the like within the scope that can achieve the object of the present invention are included in the present invention.
In the above embodiment, the detection device 2 detects the biological information and body motion information of the user and transmits them to the information processing device 3, and the information processing device 3 analyzes and processes the biological information and body motion information. The presentation information is generated and presented. However, the present invention is not limited to this. For example, functions equivalent to the function units 354 to 357 of the AP execution unit 35B are provided in the control unit 28 of the detection device 2, and the detection device 2 presents the presentation information (displayed by the display unit 241). May be. In this case, the detection device 2 is the exercise effect presentation device of the present invention.

  In the above embodiment, a pulse wave (pulse wave signal) is detected and acquired as biological information, and an acceleration (acceleration signal) is detected and acquired as body motion information. However, the present invention is not limited to this. That is, you may detect and acquire the biometric information and body movement information which show another content. Examples of such biological information include heart rate, electrocardiogram, body temperature, and sweating amount. Accordingly, the biological information is not limited to the pulse rate and exercise intensity, and may be other information. The body motion related information is not limited to the pace (step), and may be the swing of the limbs.

In the embodiment described above, the presentation information includes the scatter diagrams DM1 and DM2, the line graph LG, and the graphs GR1 and GR2 as the data. However, the present invention is not limited to this. For example, the data included in the presentation information presented to the user may be only one of the line graph LG and the graphs GR1 and GR2, and the scatter diagrams DM1 and DM2 can be switched as the presentation information for each corresponding detection date. The configuration presented in (1) may be used.
In addition, other figures or graphs are included in the presentation information and are presented as data indicating the correlation between the living body related information and the body motion related information, in a comparative manner for a plurality of corresponding detection dates. Also good. In addition, the data may be numerical values only.

In the said embodiment, the said 1st-4th conditions were illustrated as a similar condition utilized when extracting applicable detection date from several detection dates. However, the present invention is not limited to this. For example, as described above, a detection date that satisfies at least one of the first to fourth conditions may be extracted as the corresponding detection date, and at least one of the first to fourth conditions may be extracted. May be used as similar conditions, and instead of or in addition to at least one of the first to fourth conditions, other conditions may be included in the similar conditions. Furthermore, without detecting the corresponding detection date by the extraction unit 356, all detection dates may be set as the corresponding detection dates, and the respective detection dates may be processed by the presentation information generation unit 357.
It should be noted that determining whether or not the exercise intensity in a day is equal to or greater than a predetermined value and determining whether or not the pulse rate in a day is greater than or equal to a target pulse rate are the strength of exercise performed. From the viewpoint of judging the thickness, the content is equivalent. For this reason, only one of the second condition and the fourth condition may be included in the extraction condition of the corresponding detection date.

  In the above embodiment, when the presentation information is generated, the presentation information generation unit 357 generates a pulse rate (pulse rate per unit time) and pace (unit) based on the biological information and body motion information detected during the day on the corresponding detection date. Steps per hour) were used. However, the present invention is not limited to this. That is, the presentation information may be generated using the pulse rate and the pace based on the biological information and the body motion information detected during one day of the corresponding detection date, and is detected at a time other than sleeping at the corresponding detection date. The pulse rate and pace based on biological information and body motion information may be used. Furthermore, it may be configured to be able to select or input a period in which the biological information and body motion information to be used is detected.

  In the embodiment, the information processing apparatus 3 performs the extraction of the corresponding detection date and the generation and display of the presentation information. However, the present invention is not limited to this. For example, the first device extracts the corresponding detection date, and compares the correlation between the biological related information based on the biological information and the body motion related information based on the body motion information for the plurality of extracted corresponding detection dates. It is good also as a structure which produces | generates the presentation information (exercise effect information) which can be performed, and the 2nd apparatus displays the said presentation information.

  In the embodiment described above, the exercise management application including the effect presentation program for executing the effect presentation process is stored in the storage unit 34. However, the present invention is not limited to this, and the exercise management application may be configured to be acquired from a recording medium or a server on a network and executed when the application is executed. As such a recording medium, magnetic tape, various disk-type recording media, HDD, SSD, semiconductor memory, and the like can be adopted.

  DESCRIPTION OF SYMBOLS 1 ... Living body information measurement system (exercise effect presentation system), 2 ... Detection apparatus, 3 ... Information processing apparatus (exercise effect presentation apparatus), 321 ... Display part (presentation part). 34 ... Storage unit, 354 ... Information acquisition unit (biological information acquisition unit, body motion information acquisition unit), 356 ... Extraction unit, 357 ... Presentation information generation unit (presentation unit).

Claims (13)

A biometric information acquisition unit for acquiring biometric information of the user;
A body motion information acquisition unit for acquiring body motion information indicating the body motion of the user;
A storage unit for storing the acquired biological information and the body movement information in association with a detection date;
Extracting a plurality of relevant detection dates that are detection dates satisfying a predetermined similarity condition, based on at least one of the biological information and the body motion information, from a plurality of the detection dates when the biological information and the body motion information are detected. An extractor to perform,
A plurality of the extracted correlations between the biological related information derived based on the biological information on the corresponding detection date and the body motion related information derived on the basis of the body motion information on the corresponding detection date. An exercise effect presentation device comprising: a presentation unit that presents the corresponding detection dates in a comparable manner. The exercise effect presentation device according to claim 1,
The biological information is a pulse wave of the user,
The apparatus for presenting exercise effects, wherein the body motion information is an acceleration that changes with the body motion of the user. The exercise effect presentation device according to claim 2,
The living body related information is one of a pulse rate calculated based on the pulse wave, and an exercise intensity calculated based on the pulse rate,
The exercise effect presentation device, wherein the body movement related information is a pace calculated based on a change in the acceleration. The exercise effect presentation device according to claim 3,
The presenting unit presents data indicating a correlation between the living body related information and the body motion related information on the corresponding detection date, and the exercise effect presenting apparatus. In the exercise effect presentation device according to claim 3 or 4,
The presenting unit presents a scatter diagram showing a distribution of the living body related information and the body motion related information detected on the corresponding detection date in a comparative manner for the plurality of extracted corresponding detection dates. Exercise effect presentation device. In the exercise effect presentation device according to any one of claims 3 to 5,
The similarity condition includes any one of the user's pace being within a predetermined range and a difference in the pace on the plurality of detection dates being within another predetermined range. Exercise effect presentation device. The exercise effect presentation device according to any one of claims 3 to 6,
The similar condition includes that the period during which the pulse rate is equal to or greater than a predetermined value is equal to or greater than a predetermined time. The exercise effect presentation device according to any one of claims 3 to 7,
The exercise effect presenting apparatus characterized in that the similarity condition includes an exercise intensity based on the pulse rate of the user being a predetermined value or more. In the exercise effect presentation device according to any one of claims 3 to 8,
The similar condition includes that the resting pulse rate of the user is within a predetermined range including an average value of the resting pulse rates on a plurality of the detection dates. . The exercise effect presentation device according to any one of claims 1 to 9,
The body effect related information and the body motion related information are respectively derived based on the body information and the body motion information of a period classified during the day on the corresponding detection date. A pulse wave information acquisition unit for acquiring the user's pulse wave information;
A body motion information acquisition unit for acquiring the user's body motion information;
A storage unit for storing the pulse wave information and the body motion information in association with a detection date;
Presentation that presents the correlation between the pulse related information derived based on the pulse wave information on the detection date and the pace derived based on the body motion information on the detection date in an identifiable manner for the detection date And an exercise effect presentation device. The exercise effect presentation device according to any one of claims 1 to 11,
A detection device for detecting the biological information and the body motion information of the user, and transmitting the detected biological information and the body motion information to the motion effect presentation device. system. In the exercise effect information generation method for generating information capable of grasping the effect of exercise performed by the user,
From a plurality of detection dates on which the user's biological information and body motion information are detected, a plurality of corresponding detection dates on which the information based on at least one of the biological information and the body motion information is a detection date that satisfies a predetermined similarity condition Extract and
The correlation between the biological related information derived based on the extracted biological information on the corresponding detection date and the body motion related information derived based on the body motion information on the corresponding detection date is extracted. A method for generating exercise effect information, comprising: generating information that can be compared for a plurality of the corresponding detection dates.

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