JP2020078373A - Information processing device and computer program - Google Patents

Abstract

To determine the influence of subject's behavior on biological data of the subject.SOLUTION: An information processing device includes an input part for inputting user's life behavior, a biological data acquisition part for acquiring biological data about user's biological attributes, and a determination part for determining a correlation between the life behavior and the biological attribute about the user on the basis of a fluctuation of the biological data after the life behavior is performed.SELECTED DRAWING: Figure 4

Description

  The present invention relates to an information processing device and a computer program for analyzing biometric data.

  2. Description of the Related Art Conventionally, a lifestyle habit improvement support device that provides advice on lifestyle habit improvement is known (for example, see Patent Document 1).

JP-A-2000-305988

  The technique disclosed in Patent Document 1 does not consider how the biometric data of the subject actually changes after the subject takes a certain action.

  The present invention has been made in view of the above points, and one of its objects is to provide a technique for determining the influence of the behavior of the subject on the biometric data of the subject.

  In order to solve the above-described problems, one aspect of the present invention is that an input unit for inputting a living activity of a user, a biometric data acquisition unit that acquires biometric data regarding a biometric attribute of the user, and the living activity. An information processing apparatus comprising: a determination unit that determines a relationship between the living activity and the biological attribute of the user based on a change in the biological data after being performed.

  Further, another aspect of the present invention is the information processing device according to the above aspect, wherein the determination unit makes the determination based on a magnitude of variation in the biometric data.

  Further, another aspect of the present invention is the information processing device according to the above aspect, wherein the determination unit makes the determination based on temporal proximity between the living activity and the change in the biometric data.

  Further, in another aspect of the present invention, in the above-described aspect, a plurality of living behaviors are input to the input unit, and the determination unit changes the biometric data by a predetermined amount or more among the plurality of living behaviors. It is an information processing apparatus that determines that a living action performed before time and closest in time is highly related to the biological attribute.

  Further, in another aspect of the present invention, in the above aspect, a plurality of life activities are input to the input unit, and the determination unit determines that a change in the biometric data is a specific life of the plurality of life activities. The information processing apparatus determines that the specific living behavior is highly related to the biological attribute when the behavior occurs at a predetermined frequency or more after the behavior.

  Another aspect of the present invention is the information processing device according to the above aspect, further including an information presenting unit that presents the result of the determination to the user.

  Another aspect of the present invention is the information processing device according to the above aspect, wherein the biological attribute includes at least one of blood glucose, blood pressure, pulse, weight, or body fat percentage.

  Further, another aspect of the present invention is the information processing device according to the above aspect, wherein the living action includes an action regarding at least one of diet, exercise, work, and sleep.

  Another aspect of the present invention is an information processing device including a processor, a memory storing a computer program executable by the processor, and a user interface for receiving a user input, the computer being the computer. The program is configured such that the processor receives an input about a living activity of the user via the user interface, a step of obtaining biometric data regarding a biological attribute of the user from a biological attribute measuring device, and the living activity is performed. The information processing apparatus is configured to perform a step of determining the relevance of the living behavior and the biometric attribute for the user based on the change in the biometric data after the change.

  Further, according to another aspect of the present invention, a step of receiving an input about a living activity of the user to the computer via a user interface of the computer, and acquiring biometric data regarding the biometric attribute of the user from the biometric attribute measuring device. It is a computer program for performing the step and the step of determining the relevance of the living behavior and the biological attribute for the user based on the change in the biological data after the living behavior is performed. ..

  According to the present invention, it is possible to determine the influence of the behavior of the subject on the biometric data of the subject.

It is a block diagram of the living activity improvement system which concerns on one Embodiment of this invention. It is a block diagram which shows the functional structure of the information processing apparatus which concerns on one Embodiment of this invention. 6 is a flowchart showing an operation of the information processing apparatus according to the embodiment of the present invention. It is an example of measurement data of blood glucose of a user. 6 is a flowchart showing an operation of the information processing apparatus according to the embodiment of the present invention.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

  FIG. 1 is a configuration diagram of a living behavior improving system 100 according to an embodiment of the present invention. The living behavior improving system 100 includes a biological attribute measuring device 200 and an information processing device 300. The biological attribute measuring apparatus 200 and the information processing apparatus 300 are connected to each other via a wireless connection such as Bluetooth (registered trademark) or a wireless LAN (Local Area Network), or a wired connection through a communication cable such as a USB (Universal Serial Bus) cable. They are connected to each other so that they can communicate with each other.

  The biological attribute measuring device 200 is a device for measuring the biological attribute of the subject, and is used by being attached to or in contact with the body of the user 500 who is the subject. The biological attribute is to obtain a quantitative value by performing physical, chemical, and/or electrical measurement on a subject, such as blood glucose, blood pressure, pulse, weight, or body fat percentage. Can be any attribute that is relevant to a living body. For example, the biological attribute measuring device 200 is configured to be able to measure any one biological attribute of blood glucose, blood pressure, pulse, weight, or body fat percentage, and a predetermined part of the body of the user 500, for example, , Arm, chest, abdomen, leg, head etc. Although one biological attribute measuring apparatus 200 is shown in FIG. 1, a plurality of biological attribute measuring apparatuses 200 each having a function of measuring different different biological attributes may be used at the same time.

  Data obtained by the measurement in the biological attribute measuring apparatus 200 (hereinafter referred to as biological data) is transmitted to the information processing apparatus 300 via a wireless connection or a wired connection. The biological attribute measuring apparatus 200 may be configured to be worn on the body of the user 500 for a predetermined length of measurement period, for example, all day or several days, so that the biological attribute can be continuously measured. .. For example, the biometric attribute measuring device 200 includes a battery having a sufficient charge capacity that allows continuous operation for several days, and a memory having a storage capacity sufficient to store biometric data obtained by measurement for several days. The biometric data stored in the memory of the biometric attribute measuring device 200 is, for example, when the wireless connection between the biometric attribute measuring device 200 and the information processing device 300 is established, or when the biometric attribute measuring device 200 and the information processing device 300 are connected via a communication cable. When the device is connected, it is transmitted from the biological attribute measuring device 200 to the information processing device 300.

  The information processing device 300 is a computer that analyzes biometric data acquired from the biometric attribute measurement device 200. As the information processing device 300, for example, a smartphone, a tablet terminal, a personal computer, a mobile phone terminal, or any other electronic information terminal can be used. The information processing device 300 includes at least a processor 310, a memory 320, a user interface 330, and a communication interface 340. The memory 320 stores a computer program for executing analysis of biometric data. The processor 310 reads the computer program from the memory 320 and executes it. The user interface 330 is an input interface (for example, a touch pad, a keyboard, a mouse, etc.) for the user 500 to input data to the information processing apparatus 300, and for visually or audibly presenting information to the user 500. Output interface (eg, liquid crystal display, organic EL display, speaker, etc.). The communication interface 340 provides a function for the information processing apparatus 300 to communicate with the biological attribute measuring apparatus 200 and a server computer (not shown) on the network.

  FIG. 2 is a block diagram showing a functional configuration of the information processing device 300 according to the embodiment of the present invention. FIG. 3 is a flowchart showing the operation of the information processing device 300 according to the embodiment of the present invention. The information processing device 300 includes an input unit 410, a biometric data acquisition unit 420, a determination unit 430, and an information presentation unit 440. Each function of the input unit 410, the biometric data acquisition unit 420, the determination unit 430, and the information presentation unit 440 is realized by the processor 310, the memory 320, the user interface 330, and the communication interface 340 operating in cooperation with each other. It Each of these functions may be realized, for example, as a smartphone application or a web application accessible via a network such as the Internet.

  The living activity of the user is input to the input unit 410 (step S110). For example, the user 500 inputs life activity data (hereinafter referred to as life activity data) via the user interface 330, and the processor 310 receives the input life activity data. Living behavior means various behaviors that a subject performs in daily life. For example, living behaviors include behaviors related to diet, exercise, work, or sleep. As a non-limiting example, the user 500 inputs after each meal what he or she ate for breakfast, lunch, and dinner each day, and what time each meal was taken. For example, a candidate list of food item names may be displayed on the user interface 330, and the user 500 may select the item that he/she ate from the list. When the user 500 inputs the content of the meal (that is, the food item name and the time of eating), the processor 310 stores it in the memory 320 as living activity data. The user 500 also inputs the exercise (eg, running, cycling, etc.) and work (eg, deskwork, conference, presentation at a lecture, etc.) in the same manner. In this way, living activity data of the user 500 for a predetermined period (for example, several days, weeks, months) is accumulated in the memory 320.

  The biometric data acquisition unit 420 acquires biometric data from the biometric attribute measuring device 200 (step S120). For example, the communication interface 340 establishes a wireless connection between the information processing device 300 and the biological attribute measuring device 200, and the processor 310 acquires the biological data from the biological attribute measuring device 200 via the wireless connection. The biometric data is stored in the memory 320. By continuously measuring the biological attributes in the biological attribute measuring apparatus 200 and transferring the obtained biological data to the information processing apparatus 300, the memory 320 stores a predetermined period (for example, several days, several weeks, or several weeks) in the memory 320. Biometric data of the user 500 over a period of months is accumulated.

  The determination unit 430 determines the relevance between the user's life behavior and the biological attribute that is the measurement target of the biological attribute measuring device 200 (step S130). As a non-limiting example, the determination unit 430 determines what living activity of the user 500 often causes fluctuations in blood glucose, which is one of the biological attributes of the user 500, to occur. For example, the processor 310 reads the life activity data and biometric data of the user 500 from the memory 320, and compares the two to determine the relevance between the life activity of the user 500 and the biometric attribute (for example, blood sugar).

  FIG. 4 shows an example of blood glucose measurement data of the user 500 read from the memory 320. The processor 310 matches the biometric data with the time at which each living activity indicated by the individual living activity data read from the memory 320. Referring to the example of FIG. 4, for example, after the living behavior #01 ingesting the food AA (eg, apple pie), the blood glucose is significantly increased, while the food BB (eg, steak) is ingested. Blood glucose did not fluctuate significantly after the daily living behavior #02. Further, for example, after the life behaviors #06 and #08 where the work EE (for example, desk work) is performed, blood glucose does not change much, whereas after the life behavior #07 where the work FF (for example, a meeting) is performed. , Blood sugar is rising significantly.

  Therefore, for example, when the biological data shows a change larger than a predetermined amount within a predetermined time (for example, within 5 minutes) after the time when a certain living activity is performed, the processor 310 It can be determined that the living behavior is highly related to the biological attribute (eg, blood glucose) corresponding to the biological data. Further, the processor 310 determines that if the biometric data does not change more than a predetermined amount after a certain living activity is performed, or if the biometric data has changed more than a predetermined amount, the change is the life activity. If it occurs after a lapse of a predetermined time (for example, 5 minutes or more) from the time when it is performed, it can be determined that the relationship between the living behavior and the biological attribute (for example, blood glucose) is low. In the example of the blood glucose measurement data of the user 500 shown in FIG. 4, the processor 310 shows a large increase in blood glucose after ingesting the food AA and after performing the work FF for this particular user 500, but the food BB. It can be determined that the blood sugar does not rise so much after ingesting and after performing work EE.

  With further reference to the example of FIG. 4, for example, blood glucose is always greatly increased after living behaviors #03, #05, #09, and #11 ingesting food CC. On the other hand, in the case of ingesting the food DD, although the blood glucose was significantly increased after the living behavior #04, the blood glucose did not change much after the living behaviors #10 and #13. That is, the blood glucose may not change much after the living behavior ingesting the food DD.

  Therefore, for example, when an event in which the biometric data fluctuates more than a predetermined amount occurs with a certain frequency or more (for example, with a probability of 80% or more) after a certain type of living activity, the processor 310 may cause the life to change. It may be determined that the action is highly associated with the biological attribute (eg, blood glucose) corresponding to the biological data. Further, when the frequency of the biometric data changing more than a predetermined amount after a certain type of living activity is lower than a predetermined value (for example, there is a probability of less than 80%), the processor 310 determines that the living activity is the same as the living activity. It may be determined that the relationship with the biological attribute (for example, blood glucose) is low. In the example of the blood glucose measurement data of the user 500 shown in FIG. 4, the processor 310 has a high probability of increasing the blood glucose after ingesting the food CC for this particular user 500, but after ingesting the food DD. It can be determined that the blood sugar is unlikely to rise.

  As described above, according to the present embodiment, by using the record of the living behavior of each user and the actually measured biometric data, the living body attribute of the user is actually affected by what living behavior. The squid can be individually and accurately identified for each user.

  The information presenting unit 440 presents the result of the determination made by the determining unit 430 to the user (step S140). For example, the processor 310 visually displays the determination result on a display (for example, a liquid crystal display) as the user interface 330. In the above-mentioned non-limiting example shown in FIG. 4, the processor 310 gives a determination result, for example, an advice such as “You should be careful because blood sugar is likely to rise after ingesting food CC. It may be displayed on the screen of a web browser. The user 500 can receive the appropriate advice unique to himself/herself that reflects his/her own living behavior and biometric data, and thus can be used as a guideline for improving the living behavior so as to obtain a healthier body. it can.

  FIG. 5 is a flowchart showing another example of the operation of the information processing device 300 according to the embodiment of the present invention.

  Data for determining the personality of the user is input to the input unit 410 (step S210). For example, the user 500 inputs answers to a plurality of questions in the personality diagnostic test into the information processing device 300 via the user interface 330.

  Next, the determination unit 430 determines the character of the user based on the input data (step S220). For example, the determination unit 430 identifies the personality of the user 500 by analyzing the answers from the user 500 to a plurality of questions in the personality diagnostic test. As a non-limiting example, user 500 may be identified to which of a plurality of personality types A, B, C, D, E. Since a known method can be used as a method of analyzing the personality from the response of the personality diagnostic test, the description thereof will be omitted here.

  Next, the determination unit 430 ranks a plurality of types of biometric attributes according to the character of the user (step S230). As a non-limiting example, when the user 500 is the personality type A, the order of biological attributes such as the first priority is weight, the second priority is blood sugar, and the third priority is blood pressure is determined. When the user 500 is of the personality type B, a different order from the case of the personality type A, for example, the body fat percentage is the first priority, the weight is the second priority, and the pulse is the third priority. The order of biometric attributes is determined, and the same applies to the other personality types C, D, and E. The priority order of biometric attributes for each personality type is prepared in advance as setting data and stored in the memory 320. Here, among the biological attributes related to one's health, a person of personality type A is most interested in weight, then blood glucose, and then blood pressure. It is assumed that medical knowledge has been obtained. It is also assumed that similar findings have been obtained for other personality types. Based on such knowledge, setting data regarding the priority order of biometric attributes for each personality type is created in advance and stored in the memory 320. The determination unit 430 refers to the setting data to rank biometric attributes according to the personality.

  Next, the determination unit 430 selects one biometric attribute for which biometric data should be acquired according to the ranking (step S240). For example, the determination unit 430 selects the biometric attribute having the first priority when step S240 is performed for the first time. After that, when steps S250 to S280 are performed and step S240 is performed for the second time, the determination unit 430 selects the biometric attribute of the second priority. After that, every time step S240 is performed in the repeated loop of steps S240 to S280, the determination unit 430 sequentially selects the biometric attribute having the next highest priority. In this way, the biometric attributes are selected from the plurality of biometric attributes related to the user's health in the descending order of the degree of interest of the person of the personality type to which the user belongs. In the non-limiting example described above, if the user is personality type A, weight is selected as the biological attribute when step S240 is performed for the first time, blood glucose is selected for the second time, and blood pressure is selected for the third time. To be selected.

  Next, the biometric data acquisition unit 420 periodically acquires biometric data from the biometric attribute measuring device 200 corresponding to the selected biometric attribute (step S250). For example, when the weight is selected as the biological attribute, a guide for instructing the user 500 to measure the weight with the weight scale (the biological attribute measuring device 200) is regularly (for example, every day) the user interface of the information processing device 300. It is displayed on 330 (for example, a liquid crystal display). As a result, the biometric data acquisition unit 420 acquires biometric data from the weight scale by the user 500 performing regular weight measurement. Further, for example, when blood sugar is selected as the biological attribute, the biological data acquisition unit 420 is configured to be used by being attached to the body of the user 500 over the whole day or several days (the biological attribute measuring device 200). ), the biometric data obtained by periodically measuring the blood sugar (for example, every 10 minutes) may be acquired.

  Next, the information presenting unit 440 presents the biometric data acquired at regular intervals to the user as needed (step S260). The user can change his or her daily life behavior for improving health while checking the presented biometric data every day.

  Next, the determination unit 430 analyzes biometric data over a predetermined length of evaluation period (for example, several weeks or months) (step S270). In a non-limiting example, the method of analysis is such that the numerical value of the biometric attribute acquired as biometric data has an upward trend, a downward trend, exceeds a predetermined threshold value, falls below a predetermined threshold value, or changes suddenly. It may be based on various guidelines such as whether or not the fluctuation is larger than a predetermined fluctuation range.

  Next, the determination unit 430 determines that the biometric attribute selected in step S240 according to the user's personality type priority based on the analysis result of the biometric data in the predetermined evaluation period indicates the health of the user in step S260 and subsequent steps. It is determined whether or not there is a significant relationship with the change in life behavior for improvement (step S280). In a non-limiting example, it is determined that the biological attribute has a significant relationship with behavioral changes aimed at improving the user's health when the weight tends to decrease or blood glucose falls below a predetermined threshold. can do. When the biometric attribute selected in step S240 does not have a significant association with the change in the living behavior for improving the user's health, the process returns to step S240 and the biometric attribute with the next highest priority is selected. Steps S250 to S280 are repeated according to the newly selected biometric attribute. As a result, the user can improve his/her health by a method suitable for his/her personality type. In addition, steps S240 to S280 are repeated, and thus feedback is continuously performed so that appropriate biometric data is presented to the user in step S260, whereby the user positively continues to improve health. I can go.

  Although the embodiment of the present invention has been described above, the present invention is not limited to this, and various modifications can be made without departing from the scope of the invention.

100 Living Behavior Improvement System 200 Biological Attribute Measuring Device 300 Information Processing Device 310 Processor 320 Memory 330 User Interface 340 Communication Interface 410 Input Unit 420 Biometric Data Acquisition Unit 430 Judgment Unit 440 Information Presenting Unit 500 User

Claims (11)

An input unit for inputting the daily activities of the user,
A biometric data acquisition unit for acquiring biometric data regarding the biometric attribute of the user,
A determination unit that determines the relevance of the living behavior and the biological attribute for the user, based on the change in the biological data after the living behavior is performed,
An information processing apparatus including.   The information processing apparatus according to claim 1, wherein the determination unit makes the determination based on a magnitude of variation in the biometric data.   The information processing apparatus according to claim 1, wherein the determination unit makes the determination based on temporal proximity between the daily activity and the change in the biometric data. A plurality of daily activities are input to the input unit,
Among the plurality of living behaviors, the determination unit determines the living behavior performed before the time when the biological data fluctuates by a predetermined amount or more and temporally closest to the living body attribute. Determined to be highly relevant to
The information processing apparatus according to claim 1. A plurality of daily activities are input to the input unit,
When the fluctuation of the biometric data occurs at a predetermined frequency or more after a specific living behavior of the plurality of living behaviors, the determination unit has a high relevance of the specific living behavior to the biological attribute. Judge,
The information processing apparatus according to claim 1.   The information processing apparatus according to claim 1, further comprising an information presenting unit that presents a result of the determination to a user.   The information processing apparatus according to claim 1, wherein the biological attribute includes at least one of blood glucose, blood pressure, pulse, weight, and body fat percentage.   The information processing apparatus according to any one of claims 1 to 7, wherein the living activity includes an activity related to at least one of diet, exercise, work, and sleep. A processor,
A memory storing a computer program executable by the processor;
A user interface for receiving user input,
An information processing device comprising:
The computer program causes the processor to
Receiving input about a user's daily activities through the user interface;
Acquiring biometric data regarding the biometric attribute of the user from a biometric attribute measuring device,
Determining a relevance between the living behavior and the biological attribute for the user based on the change in the biological data after the living behavior is performed,
Configured to perform
Information processing device. On the computer,
Receiving input about a user's daily activities through a user interface of the computer;
Acquiring biometric data regarding the biometric attribute of the user from a biometric attribute measuring device,
Determining the relevance of the living behavior and the biological attribute for the user based on the change in the biological data after the living behavior is performed,
A computer program for carrying out. On the computer,
Ranking multiple biometric attributes according to the personality of the user,
Selecting one biometric attribute from the plurality of biometric attributes according to the ranking,
A step of acquiring biometric data from a biometric attribute measuring device corresponding to the selected biometric attribute;
Presenting the acquired biometric data to the user,
Analyzing the biological data in a predetermined evaluation period,
Determining, based on the analysis, whether the selected biometric attribute is associated with improving the health of the user;
According to the result of the determination that the selected biological attribute is not related to the improvement of the user's health, the selecting step is performed again to select the biological attribute with the next highest rank. A computer program for operating the computer to newly select and repeat the subsequent steps.

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