Information processing device, information processing method, and information processing program
The information processing device correlates input information with biometric data to enhance the utility of biometric information for diagnosis, addressing the delay in symptom recognition in wearable devices, and allows external input for improved accuracy and convenience.
Patent Information
- Application Number
- JP2021124689
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2021-07-29
- Publication Date
- 2025-08-20
- Estimated Expiration
- 2041-07-29
AI Technical Summary
Existing wearable devices that measure biometric information, such as smartwatches, struggle to fully utilize the relationship between subjective symptoms and biometric data for accurate diagnosis, as fluctuations in biometric information may occur later than symptoms or remain normal despite user awareness of certain conditions.
An information processing device that associates input information, including text and search queries, with biometric data at the time of input to enhance the utility value of biometric information for diagnosis.
Enhances the utility value of biometric information by correlating subjective symptoms with biometric data, enabling more accurate diagnoses and improving user convenience through external input from third parties.
Smart Images

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Abstract
Description
[Technical Field]
[0001] The disclosed technology relates to an information processing device, an information processing method, and an information processing program. [Background technology]
[0002] The following techniques are known as techniques for collecting information about a user's behavior and processing it into useful information for use by the user. For example, Patent Document 1 describes an information terminal that includes a behavior identification unit that collects behavioral information of a user, a first detection unit that detects changes in the collected behavioral information, and an information provision unit that provides information related to the behavior based on the frequency of the behavior corresponding to the detected change.
[0003] Patent document 2 describes a food information support device having an acquisition unit that acquires food information of a first user including at least one menu and at least one piece of personal information of the first user; a memory unit that stores a food information control master table that includes food information control rules that are rules for changing the food information including at least one menu, each associated with a plurality of pieces of personal information; an extraction unit that extracts a food information control rule corresponding to the first user by referring to the food information control master table based on the acquired at least one piece of personal information of the first user; and a generation unit that generates customized food information by customizing the food information of the first user based on the extracted food information control rule. [Prior art documents] [Patent documents]
[0004] [Patent Document 1] International Publication No. 2012 / 124259 [Patent Document 2] Japanese Patent Application Laid-Open No. 2014-241044 Summary of the Invention [Problem to be solved by the invention]
[0005] In recent years, wearable devices such as smartwatches have become capable of measuring a user's biometric information, such as heart rate, blood pressure, and electrocardiogram. For example, when a user visits a hospital for a medical examination, the biometric information measured by the wearable device can be presented to a doctor, enabling the doctor to make a quick and accurate diagnosis. On the other hand, when a user suffers from a certain disease, the biometric information may remain normal despite the user being aware of certain symptoms, or fluctuations in the biometric information may occur later than the subjective symptoms. Such a relationship between subjective symptoms and biometric information is also considered useful for diagnosis. In other words, by associating biometric information with subjective symptoms, the utility value of the biometric information may be increased.
[0006] The disclosed technology has been made in consideration of the above points, and aims to increase the utility value of biometric information. [Means for solving the problem]
[0007] An information processing device according to the disclosed technology includes at least one processor. The processor acquires input information, which is information input to the information processing device, and biometric information of a user, and performs an association process of associating the input information, which is information related to the user's physical condition, symptoms, health, mood, emotion, or disease name, with the biometric information at the time corresponding to the time when the input information was input.
[0008] The input information may include text entered into the information processing device or a selection selected using the information processing device. The input information may also include information entered on an application installed on the information processing device.
[0009] The input information may include search keywords entered into a search engine for searching for information on a network. The input information may include content sent or transmitted to a specific or unspecified party. The input information may include information on products or services purchased or attempted to be purchased through information communication via a network.
[0010] The processor may store the input information and the biological information associated with each other in a storage medium. The processor may acquire the biological information from a measurement device that measures the biological information by communicating with the measurement device.
[0011] The processor may acquire input information and biometric information for each of a plurality of users and perform the association process for each user.
[0012] The processor may further perform a matching process to acquire external input information, which is information input into an external device by a third party who is permitted to intervene in the matching process, and match the external input information related to the user's physical condition, symptoms, health, mood, emotions, or disease name with the biometric information at the time corresponding to the time the external input information was input.
[0013] The processor may obtain the results of a test performed on the user as biometric information.
[0014] The information processing method according to the disclosed technology is an information processing method executed by at least one processor provided in an information processing device, in which the processor acquires input information, which is information input to the information processing device, and the user's biometric information, and performs a matching process to match the input information related to the user's physical condition, symptoms, health, mood, emotions, or disease name with the biometric information at the time corresponding to the time the input information was input.
[0015] The information processing program related to the disclosed technology is an information processing program to be executed by at least one processor provided in an information processing device, and causes the processor to acquire input information, which is information input into the information processing device, and user biometric information, and perform an association process to associate the input information related to the user's physical condition, symptoms, health, mood, emotions, or disease name with the biometric information at the time corresponding to the time the input information was input. [Effects of the Invention]
[0016] According to the disclosed technology, it is possible to increase the utility value of biometric information. [Brief explanation of the drawings]
[0017] [Figure 1] FIG. 1 is a diagram illustrating an example of a configuration of a biological information management system according to an embodiment of the disclosed technology. [Figure 2] FIG. 1 is a diagram illustrating an example of a hardware configuration of an information processing device according to an embodiment of the disclosed technology. [Figure 3] FIG. 1 is a functional block diagram illustrating an example of a functional configuration of an information processing device according to an embodiment of the disclosed technology. [Figure 4] 10A and 10B are diagrams illustrating an example of input information and biometric information associated with each other by an association process according to an embodiment of the disclosed technology. [Figure 5] 10A and 10B are diagrams illustrating an example of a display form of input information and biometric information associated with each other by an association process according to an embodiment of the disclosed technique. [Figure 6] 10 is a flowchart illustrating an example of a flow of a process performed by executing an association program according to an embodiment of the disclosed technology. [Figure 7] FIG. 10 is a diagram illustrating an example of a configuration of a biological information management system according to another embodiment of the disclosed technology. [Figure 8] FIG. 10 is a diagram illustrating an example of a configuration of a biological information management system according to another embodiment of the disclosed technology. [Figure 9]10A and 10B are diagrams illustrating an example of input information and biometric information associated with each other by association processing according to another embodiment of the disclosed technology. [Figure 10] FIG. 10 is a diagram illustrating an example of a configuration of a biological information management system according to another embodiment of the disclosed technology. [Figure 11] 10A and 10B are diagrams illustrating an example of input information and biometric information associated with each other by association processing according to another embodiment of the disclosed technology. DETAILED DESCRIPTION OF THE INVENTION
[0018] Hereinafter, an example of an embodiment of the disclosed technology will be described with reference to the drawings. In each drawing, the same or equivalent components and parts are given the same reference numerals, and redundant description will be omitted.
[0019] [First embodiment] 1 is a diagram showing an example of the configuration of a biological information management system 1 according to an embodiment of the disclosed technique. The biological information management system 1 includes an information processing device 10 and a biological information measuring device 20.
[0020] The information processing device 10 is a communication terminal device used by a person (hereinafter referred to as a user) whose biometric information is to be managed. The information processing device 10 may be, for example, a desktop computer, a notebook computer, a tablet computer, or a smartphone.
[0021] The biological information measurement device 20 measures the user's biological information. The biological information may be, for example, information indicating at least one of body temperature, heart rate, electrocardiogram, electromyogram, blood pressure, arterial oxygen saturation (SpO2), blood glucose level, and lipid level. The biological information measurement device 20 may be a wearable device such as a smart watch equipped with a sensor for measuring such biological information. The biological information measurement device 20 has a function of continuously measuring the user's biological information according to a predetermined time schedule and storing the measured information in an internal memory. The biological information measurement device 20 may measure the biological information at predetermined intervals (for example, every 30 minutes). Furthermore, the biological information measurement device 20 may continuously measure the biological information when measuring time-series data such as an electrocardiogram waveform as the biological information. The biological information measurement device 20 is communicably connected to the information processing device 10 and transmits the measured biological information to the information processing device 10. The biological information management system 1 may include two or more biological information measurement devices that measure different types of biological information.
[0022] 2 is a diagram showing an example of the hardware configuration of the information processing device 10. The information processing device 10 includes a CPU (Central Processing Unit) 101, a RAM (Random Access Memory) 102, a non-volatile memory 103, a display 105, an input device 104 including a keyboard, a mouse, etc., and a communication interface 106. These pieces of hardware are connected to a bus 107.
[0023] The communication interface 106 is an interface through which the information processing device 10 communicates with the biological information measuring device 20. The communication method may be either wired or wireless. For wireless communication, a method conforming to existing wireless communication standards such as Wi-Fi (registered trademark) and Bluetooth (registered trademark) can be applied. The non-volatile memory 103 is a storage medium such as a hard disk or flash memory, and stores an association program 110 (described later). The RAM 102 is a work memory for the CPU 101 to execute processing. The CPU 101 loads the association program 110 stored in the non-volatile memory 103 into the RAM 102 and executes processing in accordance with the association program 110. The CPU 101 is an example of a "processor" in the disclosed technology. The non-volatile memory 103 is an example of a "storage medium" in the disclosed technology.
[0024] 3 is a functional block diagram showing an example of the functional configuration of the information processing device 10. The information processing device 10 has an input information acquisition unit 11, a biometric information acquisition unit 12, an input information analysis unit 13, an association processing unit 14, and a display processing unit 15. When the CPU 101 executes the association program 110, the CPU 101 functions as the input information acquisition unit 11, the biometric information acquisition unit 12, the input information analysis unit 13, the association processing unit 14, and the display processing unit 15.
[0025] The input information acquisition unit 11 acquires input information input to the information processing device 10. The input information may include text input to the information processing device 10 or options selected using the information processing device 10. The input information may also be information input on various applications installed on the information processing device 10.
[0026] The text as input information may be, for example, a search keyword entered into a search engine for searching for information on a network. The text as input information may also be, for example, text sent or transmitted to a specific or unspecified recipient, such as an outgoing email, a message on a messenger application, a post on a social networking service (SNS), a blog entry, or a chat conversation. The selection item as input information may be, for example, an item selected using a GUI (Graphical User Interface) for selecting from multiple options, such as a pull-down menu or radio buttons. The input information may also be information (e.g., product / service category, product name, service name, etc.) regarding a product or service purchased or an intended product or service purchased from an electronic commerce (EC) site or the like through information communication over a network using a web browser installed on the information processing device 10. The input information acquiring unit 11 acquires, as input information, information regarding a product or service viewed for the purpose of purchasing the product or service on an EC site or the like as the intended product or service. The input information acquiring unit 11 may also acquire, as input information, a combination of two or more of the above-mentioned examples.
[0027] The input information acquisition unit 11 acquires input information by cooperating with various applications such as a web browser, an email application, a messenger application, and an SNS application installed in the information processing device 10. The input information acquisition unit 11 assigns input date and time information indicating the date and time when the input information was input to the information processing device 10 to the input information, and stores the input information in the non-volatile memory 103.
[0028] The biological information acquiring unit 12 acquires the user's biological information measured by the biological information measuring device 20. The biological information acquiring unit 12 acquires the biological information from the biological information measuring device 20 by communicating with the biological information measuring device 20. When the biological information is intermittently measured by the biological information measuring device 20, the biological information acquiring unit 12 may acquire the biological information each time a measurement is performed by the biological information measuring device 20. When the biological information is time-series data such as an electrocardiogram waveform, the biological information acquiring unit 12 may acquire time-series data over a predetermined period (e.g., one minute) as the biological information for one measurement. When the biological information measuring device 20 constantly measures time-series data such as an electrocardiogram waveform, the biological information acquiring unit 12 may constantly acquire the time-series data.
[0029] The input information analysis unit 13 analyzes the input information acquired by the input information acquisition unit 11, and identifies input information that satisfies a predetermined condition from the acquired input information. Specifically, the input information analysis unit 13 identifies input information that includes content related to the user's physical condition, symptoms, health, mood, emotion, or disease name from the acquired input information as input information that satisfies the predetermined condition.
[0030] The input information analysis unit 13 may identify input information that satisfies a predetermined condition by determining whether pre-registered words related to the user's physical condition, symptoms, health, mood, emotions, or disease name are included in the text or selection items of the input information. For example, if the input information is a search keyword entered into a search engine and the search keyword includes pre-registered words such as "fever," "cough," "headache," "stomachache," "dizziness," "cold," "can't sleep," "anxiety," "depressed," "tired," "irritable," "influenza," "novel coronavirus," or "COVID-19," the input information analysis unit 13 may identify the search keyword as input information that satisfies a predetermined condition. Furthermore, for example, if the input information is a message entered on a messenger application and the message includes registered words such as those exemplified above, the input information analysis unit 13 may determine that the message satisfies a predetermined condition. Words related to the user's physical condition, symptoms, health, mood, emotions, or disease name may include onomatopoeia such as "shiver," "nausea," and "heart palpitations."
[0031] Furthermore, when the input information is information about a product purchased or attempted to be purchased through information communication via a network, and the product is a medical product such as a pharmaceutical, the input information analysis unit 13 may identify the information about the product as input information that satisfies a predetermined condition. Furthermore, when the input information is information about a service purchased or attempted to be purchased through information communication via a network, and the service is a health service or medical service aimed at maintaining, promoting, or restoring health, or eliminating, improving, or alleviating symptoms, the input information analysis unit 13 may identify the input information including information about the service as input information that satisfies a predetermined condition.
[0032] The association processing unit 14 performs an association process to associate input information that satisfies the predetermined conditions identified by the input information analysis unit 13 with biometric information acquired by the biometric information acquisition unit 12 at a time corresponding to the time when the input information that satisfies the predetermined conditions was input. The "biometric information at a time corresponding to the time when the input information was input" refers to biometric information measured within a predetermined period before and after the time when the input information was input, and typically refers to biometric information measured at a time closest to the time when the input information was input. The association processing unit 14 stores the input information and biometric information that have been associated with each other by the association process in the non-volatile memory 103.
[0033] FIG. 4 is a diagram showing an example of input information and biological information associated with each other through association processing. FIG. 4 illustrates an example in which measured values of body temperature, SpO2, and heart rate are associated with each piece of input information as biological information. As shown in FIG. 4, input date and time information indicating the date and time when the input information was input, and information indicating the type of application from which the input information was obtained, are attached to the input information. Furthermore, the type of information (text / purchased product) and the content of the information (text content / product name) are recorded as the content of the input information. Furthermore, measurement date and time information indicating the date and time when the measurement was performed is attached to each measured value as biological information. The measurement date and time corresponds to the input date and time of the input information. FIG. 4 illustrates the following cases (1) to (3).
[0034] (1) The input information analysis unit 13 identifies text containing the word "tired" entered on an SNS application installed on the information processing device 10 as input information that satisfies a predetermined condition. The association processing unit 14 associates this text with the measured values of body temperature, SpO2, and heart rate as biological information measured at a time (13:30, June 10, 2021) corresponding to the time when this text was entered (13:25, June 10, 2021) (top row of Figure 4).
[0035] (2) The input information analysis unit 13 identifies text entered into the search engine containing the search keyword "low-grade fever continues" as input information that satisfies a predetermined condition. The association processing unit 14 associates this text with the measured values of body temperature, SpO2, and heart rate as biological information measured at the time (21:00, June 12, 2021) corresponding to the time (20:45, June 12, 2021) when this text was entered (middle row of Figure 4).
[0036] (3) The input information analysis unit 13 identifies the name of a product, "Cold Medicine X," purchased through information communication over a network using a web browser installed on the information processing device 10 as input information that satisfies a predetermined condition. The association processing unit 14 associates the product name with the measured values of body temperature, SpO2, and heart rate as biological information measured at a time (22:00, June 13, 2021) corresponding to the time of purchase of the product (22:10, June 13, 2021) (lower part of Figure 4).
[0037] The display processing unit 15 performs processing to display the input information and the biological information that are associated with each other on the display 105, for example, based on a display instruction given by operating the input device 104. The display processing unit 15 may display the input information and the biological information that are associated with each other in a table format as shown in Fig. 4. Furthermore, when the biological information is time-series data such as an electrocardiogram waveform, the input information and the biological information may be displayed in a format in which text as input information is inserted at corresponding time points in the time-series data, as shown in Fig. 5.
[0038] 6 is a flowchart showing an example of the flow of processing carried out by CPU 101 executing association program 110. Association program 110 is executed when, for example, a user operates input device 104 to instruct the start of processing.
[0039] In step S1, the CPU 101 functions as the input information acquisition unit 11 and acquires input information input to the information processing device 10.
[0040] In step S2, the CPU 101 functions as the biological information acquiring unit 12 and acquires the biological information of the user measured by the biological information measuring device 20.
[0041] In step S3, the CPU 101 functions as the input information analysis unit 13 and identifies input information that satisfies a predetermined condition from the input information acquired in step S1. That is, the input information analysis unit 13 identifies input information that includes content related to the user's physical condition, symptoms, health, mood, emotion, or disease name as input information that satisfies the predetermined condition.
[0042] In step S4, the CPU 101 functions as the association processing unit 14 and performs an association process to associate the input information that satisfies the predetermined condition identified in step S3 with the biometric information acquired in step S2 at a time corresponding to the time of input of the input information that satisfies the predetermined condition. The CPU 101 stores the input information and the biometric information that have been associated by the association process in the nonvolatile memory 103.
[0043] In step S5, the CPU 101 determines whether or not there is a display instruction to display the input information and biometric information associated with each other by the association process in step S4. The display instruction can be issued by operating the input device 104. If the CPU 101 determines that there is a display instruction, in step S6, the CPU 101 functions as the display processing unit 15 and causes the display 105 to display the input information and biometric information associated with each other in step S4.
[0044] As described above, the information processing device 10 according to the embodiment of the disclosed technology acquires input information, which is information input to the information processing device, and the user's biometric information, and performs an association process to associate the input information related to the user's physical condition, symptoms, health, mood, emotion, or disease name with the biometric information at the time corresponding to the time when the input information was input.
[0045] For example, if a user is aware of a change in their physical condition, the user may perform a web search using a word indicating the subjective symptoms as a search keyword, report the subjective symptoms to specific or unspecified contacts via a messenger application or social networking site, or purchase medicines appropriate for the subjective symptoms. According to the information processing device 10 of this embodiment, input information input in accordance with the user's subjective symptoms is associated with the user's biometric information at the time corresponding to the time the input information was entered. Since the input information is expected to include content indicating the user's subjective symptoms, it is possible to associate information indicating the subjective symptoms with the biometric information. This increases the utility value of the biometric information.
[0046] For example, when the biometric information acquired by the information processing device 10 is presented to a doctor for diagnosis, it is expected that the user will be able to receive a more accurate diagnosis. Furthermore, according to the information processing device 10 of this embodiment, information that is routinely input into various applications installed in the information processing device 10 is collected as input information, so that the user can remain unaware of inputting information regarding subjective symptoms.
[0047] In the present embodiment, the case where the input information and biometric information associated with each other are stored in the nonvolatile memory 103 included in the information processing device 10 is exemplified, but the disclosed technology is not limited to this. The input information and biometric information associated with each other may be stored in a storage medium installed outside the information processing device 10. For example, they may be stored in cloud storage installed on a network.
[0048] In addition, in the present embodiment, the case where the information processing device 10 acquires all of the biological information measured by the biological information measuring device 20 has been exemplified, but the disclosed technology is not limited to this aspect. Only the biological information at the time corresponding to the time when input information satisfying a predetermined condition is input may be acquired from the biological information measuring device 20, and the association process may be performed on the acquired biological information.
[0049] 7, the user's biometric information may be acquired from a medical information system 25 connected to the information processing device 10 via a network 50. The medical information system 25 is a system managed by a medical institution such as a hospital. The medical information system 25 stores the results of tests performed on the user in the hospital. The biometric information acquisition unit 12 acquires the test results of the user stored in the medical information system 25 as the user's biometric information.
[0050] [Second embodiment] FIG. 8 is a diagram showing an example of the configuration of a biological information management system 1A according to a second embodiment of the disclosed technology. The biological information management system 1A includes an information processing device 10 and biological information measurement devices 20A and 20B. The biological information measurement devices 20A and 20B measure biological information of different users. In the following description, the subject of biological information measurement by the biological information measurement device 20A is referred to as user A, and the subject of biological information measurement by the biological information measurement device 20B is referred to as user B. The biological information measured by the biological information measurement devices 20A and 20B is assigned user identification information for identifying the user being measured by the respective devices, or device identification information for identifying the biological information measurement device.
[0051] The information processing device 10 according to this embodiment acquires input information and biometric information for each of user A and user B, and performs an association process for associating the input information with the biometric information for each user. Details of the information processing device 10 according to this embodiment will be described below.
[0052] The input information acquiring unit 11 according to this embodiment acquires input information for each of user A and user B. That is, the input information acquired by the input information acquiring unit 11 includes information related to user A and information related to user B. Note that the input of input information to the information processing device 10 may be performed by either user A or user B. For example, if user B is a young child or an elderly person and user A is the guardian or caregiver of user B, it is assumed that input of input information to the information processing device 10 is performed only by user A. In this case, for example, search keywords entered by user A into a search engine for user B, text sent or transmitted for user B, and products purchased for user B are input information related to user B.
[0053] The biological information acquiring section 12 according to this embodiment acquires biological information of a user A measured by a biological information measuring device 20A and biological information of a user B measured by a biological information measuring device 20B.
[0054] The input information analysis unit 13 according to this embodiment analyzes the input information acquired by the input information acquisition unit 11 and identifies, for each user, input information that satisfies a predetermined condition from the acquired input information. Specifically, the input information analysis unit 13 identifies input information including content related to the physical condition, symptoms, health, mood, emotions, or disease name of user A as input information related to user A that satisfies the predetermined condition. Similarly, the input information analysis unit 13 identifies input information including content related to the physical condition, symptoms, health, mood, emotions, or disease name of user B as input information related to user B that satisfies the predetermined condition.
[0055] In this embodiment, attribute information of each user, including age, sex, height, weight, medical history, etc., for user A and user B, is stored in non-volatile memory 103. The input information analysis unit 13, for example, compares words that indicate the user's attribute or words that can be used to infer the user's attribute, which are included in the text as input information, with the attribute information of each user, to identify whether the input information is related to user A or user B. For example, if the degree of match between the words that indicate the user's attribute or words that can be used to infer the user's attribute, which are included in the text as input information, and the attribute information of user A is greater than the degree of match between the words that indicate the user's attribute or words that can be used to infer the user's attribute, and the attribute information of user B, the input information is identified as related to user A.
[0056] The association processing unit 14 according to this embodiment performs an association process for each user to associate input information satisfying a predetermined condition with biometric information at a time point corresponding to the time point when the input information satisfying the predetermined condition was input. That is, input information about user A is associated with biometric information measured for user A. Similarly, input information about user B is associated with biometric information measured for user B. Whether the biometric information is related to user A or user B can be identified by the above-mentioned identification information assigned to the biometric information. The association processing unit 14 stores the input information and biometric information associated for each user by the association process in the nonvolatile memory 103.
[0057] 9 is a diagram showing an example of input information and biometric information associated for each user by the association process, illustrating the following cases (4) and (5).
[0058] (4) The input information analysis unit 13 identifies text containing the word "feverish" entered on the SNS application as input information related to user A that satisfies a predetermined condition. The association processing unit 14 associates this text with the measured values of body temperature, SpO2, and heart rate as biological information measured for user A at a time (12:00, June 15, 2021) corresponding to the time when this text was entered (12:15, June 15, 2021) (top row of Figure 9).
[0059] (5) The input information analysis unit 13 identifies text containing the search keyword “influenza” entered into the search engine as input information related to user B that satisfies a predetermined condition. The association processing unit 14 associates this text with the measured values of body temperature, SpO2, and heart rate as biometric information measured for user B at a time (11:00 AM, June 30, 2021) corresponding to the time (10:45 AM, June 30, 2021) when this text was entered (lower part of Figure 9).
[0060] The display processing unit 15 according to this embodiment performs processing for each user to display the associated input information and biometric information on the display 105, based on a display instruction given by operating the input device 104, for example. Note that the input information and biometric information about user A and the input information and biometric information about user B may be displayed on the display 105 simultaneously.
[0061] As described above, the information processing device 10 according to the second embodiment of the disclosed technology acquires input information and biometric information for each of a plurality of users and performs an association process for associating the input information and biometric information for each of the users. The information processing device 10 according to this embodiment makes it possible to centrally manage the biometric information of a plurality of users.
[0062] Furthermore, for example, if user B is a young child or an elderly person and user A is the guardian or caregiver of user B, it may be difficult for user B to input input information. According to the information processing device 10 of this embodiment, user A inputs input information related to user B, and it becomes possible to perform association processing for user B as well.
[0063] In this embodiment, the case where the association process is performed for two users is exemplified, but it is also possible to perform the association process for three or more users by assigning a biological information measurement device to each person.
[0064] [Third embodiment] 10 is a diagram showing an example of the configuration of a biological information management system 1B according to a third embodiment of the disclosed technique. The biological information management system 1B includes an information processing device 10, a biological information measuring device 20, and an external device 30.
[0065] As described above, the information processing device 10 is a communication terminal device used by a user who is a subject of biometric information management. On the other hand, the external device 30 is a communication terminal device used by a third party who is permitted to intervene in the association process by the information processing device 10. The external device 30 is communicably connected to the information processing device 10 via a network 50. The external device 30 may be, for example, a desktop computer, a notebook computer, a tablet computer, or a smartphone.
[0066] The input information acquisition unit 11 according to this embodiment acquires not only input information that is information input to the information processing device 10, but also external input information that is information input to the external device 30. The external input information is similar to the input information input to the information processing device 10, except that it is information input to the external device 30. That is, the external input information may include text input to the external device 30 or options selected using the external device 30. The external input information may also be information input on various applications installed on the external device 30.
[0067] The text as external input information may be, for example, a search keyword entered into a search engine for searching for information on a network. The text as external input information may also be, for example, text sent or transmitted to a specific or unspecified recipient, such as an outgoing email, a message on a messenger application, a post on a social networking site, a blog entry, or a chat conversation. The selection item as external input information may be, for example, an item selected using a GUI for selecting from multiple options, such as a pull-down menu or radio buttons. The external input information may also be information regarding a product or service purchased or attempted to be purchased from an e-commerce site or the like via information communication over a network using a web browser installed on the external device 30.
[0068] The input information acquiring unit 11 acquires external input information by cooperating with various applications installed on the external device 30, such as a web browser, an email application, a messenger application, and an SNS application. The input information acquiring unit 11 may acquire external input information from the external device 30 after authenticating that a third party using the external device 30 is a person permitted to intervene in the association process by the information processing device 10. The input information acquiring unit 11 assigns input date and time information indicating the date and time when the input information was input into the information processing device 10 to the input information, and stores the input information in the non-volatile memory 103. Furthermore, the input information acquiring unit 11 assigns input date and time information indicating the date and time when the external input information was input into the external device 30 to the external input information, and stores the input information in the non-volatile memory 103.
[0069] The biological information acquiring section 12 according to this embodiment acquires the biological information of the user measured by the biological information measuring device 20 .
[0070] The input information analysis unit 13 according to this embodiment analyzes the input information and external input information acquired by the input information acquisition unit 11, and identifies information that satisfies a predetermined condition from the acquired input information and external input information. Specifically, the input information analysis unit 13 identifies, from the input information and external input information, information that includes content related to the user's physical condition, symptoms, health, mood, emotion, or disease name as information that satisfies the predetermined condition.
[0071] Here, it is assumed that the external input information input to the external device 30 includes not only information about the user whose biometric information is to be managed, but also information about a third party using the external device 30. In this embodiment, attribute information for each of the user and the third party, including age, gender, height, weight, medical history, etc., is stored in the non-volatile memory 103. The input information analysis unit 13, for example, compares words indicative of the attributes of the user or the third party or words from which the attributes of the user or the third party can be inferred, contained in the text as the external input information, with the attribute information of each person to determine whether the external input information relates to the user or the third party. For example, if the degree of match between the user's attribute information and the words indicative of the attributes of the user or the third party or words from which the attributes of the user or the third party can be inferred, contained in the text as the external input information, is greater than the degree of match between the user's attribute information and the third party's attribute information, the external input information is determined to relate to the user.
[0072] The association processing unit 14 according to this embodiment performs an association process to associate input information satisfying the predetermined condition specified by the input information analysis unit 13 with biometric information at a time point corresponding to the time point when the input information satisfying the predetermined condition was input by the biometric information acquisition unit 12. The association processing unit 14 according to this embodiment further performs an association process to associate external input information satisfying the predetermined condition specified by the input information analysis unit 13 with biometric information at a time point corresponding to the time point when the external input information satisfying the predetermined condition was input by the biometric information acquisition unit 12. The association processing unit 14 stores each piece of information associated by the association process in the nonvolatile memory 103.
[0073] 11 is a diagram showing an example of input information / external input information and biometric information associated with each other by the association process, illustrating the following cases (6) and (7).
[0074] (6) The input information analysis unit 13 identifies text containing the words "chest pain" entered on a messenger application installed on the information processing device 10 as input information that satisfies a predetermined condition. The association processing unit 14 associates this text with the measured values of body temperature, SpO2, and heart rate as biological information measured at a time (8:00 AM, July 2, 2021) corresponding to the time when this text was entered (8:03 AM, July 2, 2021) (top row of Figure 11).
[0075] (7) The input information analysis unit 13 identifies text containing the word "arrhythmia" that was entered into a search engine running on a web browser installed on the external device 30 as external input information that satisfies a predetermined condition. The association processing unit 14 associates this text with the measured values of body temperature, SpO2, and heart rate as biological information measured at a time (9:30 AM, July 2, 2021) corresponding to the time when this text was entered (9:25 AM, July 2, 2021) (lower part of Figure 11).
[0076] As described above, the information processing device 10 according to the third embodiment of the disclosed technology acquires external input information input to the external device 30 by a third party who is permitted to intervene in the association process, and further performs association processing to associate, among the acquired external input information, information related to the physical condition, symptoms, health, mood, emotion, or disease name of the user whose biometric information is to be managed, with the biometric information at the time corresponding to the time when the external input information was input.
[0077] According to the information processing device 10 of this embodiment, not only input information input by the user himself / herself but also external input information input by a third party other than the user is subject to association with the user's biometric information. For example, if the user whose biometric information is to be managed is a young child or an elderly person, it may be difficult for the user to input input information themselves. According to the information processing device 10 of this embodiment, even in such cases, a third party, such as a guardian or caregiver, can input information indicating the user's symptoms into the external device 30, thereby associating the information with the user's biometric information. According to the information processing device 10 of this embodiment, for example, a third party located remotely from the user's location can intervene in the association process for the user, thereby improving user convenience. Note that, in a case where input information and biometric information are acquired for each of multiple users and the association process is performed for each user, as in the biometric information management system 1A of the second embodiment, the technology according to this embodiment may be applied to allow a third party to intervene in the association process for at least some of the multiple users.
[0078] In the above embodiment, the following various processors can be used as the hardware structure of processing units that perform various processes, such as the input information acquisition unit 11, the biometric information acquisition unit 12, the input information analysis unit 13, the association processing unit 14, and the display processing unit 15. As described above, the various processors include a CPU and a GPU, which are general-purpose processors that execute software (programs) and function as various processing units, as well as dedicated electrical circuits that are processors having a circuit configuration specifically designed to perform specific processes, such as a programmable logic device (PLD) that is a processor whose circuit configuration can be changed after manufacture, such as an FPGA, and an application specific integrated circuit (ASIC).
[0079] A single processing unit may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, multiple processing units may be configured with a single processor.
[0080] Examples of configuring multiple processing units with a single processor include, first, a form in which one processor is configured with a combination of one or more CPUs and software, and this processor functions as multiple processing units, as typified by computers such as client and server. Second, a form in which a processor is used to realize the functions of the entire system including multiple processing units with a single IC (Integrated Circuit) chip, as typified by systems on chips (SoCs). In this way, various processing units are configured using one or more of the above-mentioned various processors as a hardware structure.
[0081] Furthermore, more specifically, the hardware structure of these various processors can be an electric circuit that combines circuit elements such as semiconductor elements.
[0082] In the above embodiment, the association program 110 is pre-stored (installed) in the non-volatile memory 103, but the present invention is not limited to this. The association program 110 may be provided in a form recorded on a recording medium such as a CD-ROM (Compact Disc Read Only Memory), a DVD-ROM (Digital Versatile Disc Read Only Memory), or a USB (Universal Serial Bus) memory. The association program 110 may also be downloaded from an external device via a network. [Explanation of symbols]
[0083] 1, 1A, 1B Biometric Information Management System 10. Information processing equipment 11 Input information acquisition unit 12 Biometric information acquisition unit 13 Input information analysis unit 14 Correspondence processing unit 15 Display processing section 20, 20A, 20B Biological information measuring device 25 Medical Information Systems 30 External device 50 Network 101 CPU 102 RAM 103 Non-volatile memory 104 Input Device 105 Display 106 Communication Interface 107 Bus 110 Mapping Program
Claims
1. An information processing device including at least one processor, The processor: acquire input information that is information input using at least one of a web browser, an email application, a messenger application, and an SNS application installed on the information processing device, the input information having input date and time information indicating the date and time when the input information was input; Acquire biometric information of a user, the biometric information being provided with measurement date and time information indicating the date and time when the biometric information was measured; Identifying input information relating to the user's physical condition, symptoms, health, mood, emotion, or disease name from the input information; A process of associating the specified input information with the biological information at the time corresponding to the time when the input information was input is performed based on the input date and time information and the measurement date and time information. Information processing device.
2. The processor stores the input information and the biometric information associated with each other in a storage medium. The information processing device according to claim 1 .
3. The processor acquires the biological information from a measurement device that measures the biological information by communicating with the measurement device.
3. The information processing device according to claim 1.
4. The processor: acquiring the input information and the biometric information for each of a plurality of users; The association process is performed for each user. The information processing device according to any one of claims 1 to 3.
5. The processor: acquiring external input information that is information input to an external device by a third party who is permitted to intervene in the association process; Further, a correlation process is performed to correlate the external input information related to the user's physical condition, symptoms, health, mood, emotion, or disease name with the biometric information at a time point corresponding to the time point when the external input information was input. The information processing device according to any one of claims 1 to 4.
6. The third party is the parent or guardian of the user. The information processing device according to claim 5 .
7. The processor acquires the results of a test performed on the user as the biometric information. The information processing device according to claim 1 .
8. An information processing method executed by at least one processor included in an information processing device, the processor: acquire input information that is information input using at least one of a web browser, an email application, a messenger application, and an SNS application installed on the information processing device, the input information having input date and time information indicating the date and time when the input information was input; Acquire biometric information of a user, the biometric information being provided with measurement date and time information indicating the date and time when the biometric information was measured; Identifying input information relating to the user's physical condition, symptoms, health, mood, emotion, or disease name from the input information; A process of associating the specified input information with the biological information at the time corresponding to the time when the input information was input is performed based on the input date and time information and the measurement date and time information. Information processing methods.
9. An information processing program to be executed by at least one processor included in an information processing device, acquire input information that is information input using at least one of a web browser, an email application, a messenger application, and an SNS application installed on the information processing device, the input information having input date and time information indicating the date and time when the input information was input; Acquire biometric information of a user, the biometric information being provided with measurement date and time information indicating the date and time when the biometric information was measured; Identifying input information relating to the user's physical condition, symptoms, health, mood, emotion, or disease name from the input information; A process of associating the specified input information with the biological information at the time corresponding to the time when the input information was input is performed based on the input date and time information and the measurement date and time information. An information processing program for causing the processor to execute the above.
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