WO2021060544A1

WO2021060544A1 - Information provision device, information provision method, and program

Info

Publication number: WO2021060544A1
Application number: PCT/JP2020/036479
Authority: WO
Inventors: 西村　勉; 寛之山内
Original assignee: 西村　勉
Priority date: 2019-09-25
Filing date: 2020-09-25
Publication date: 2021-04-01
Also published as: JP7369784B2; JPWO2021060544A1

Abstract

This information provision device is provided with: an environmental information acquisition unit (17) which acquires environmental information indicating the state of an environmental factor that could affect the biological condition of a target biological body at a given time, date, and place; a storage unit (16) which maintains a state model that is based on data indicating the state of an environmental factor measured in the past and data indicating the biological state of a biological body measured at a location and period of time that correspond to the location and period of time at which the measurement of the state of said environmental factor was made; and a control unit (18) which, on the basis of the environmental information, identifies the biological state of the target biological body corresponding to the environmental information, and which acquires and outputs information based on the identified biological state and related to the biological state of the target biological body at the given time and date.

Description

Information providing device, information providing method and program

The present invention relates to a technique for providing information related to the state of a living body.

Research on the effects of various environmental factors on a person's psychological state, behavior or physical condition has been conducted conventionally. Geomagnetism is an example of an environmental element that is the subject of such research (see, for example, Non-Patent Documents 1-4).

Also, for example, by using the geomagnetism as a technology for identifying the state of a person, it is possible to specify the state such as the moving direction of the person based on the geomagnetism detected by the sensor. A technique has been proposed in which information in this state is used in a communication device to determine whether or not to execute communication with the person concerned (see Patent Document 1).

Japanese Unexamined Patent Publication No. 2017-059891

As a result of such research, a statistically significant correlation is being recognized between changes in environmental factors and human modulation. However, practical usage methods for such results that are useful to individuals or society have not yet been sufficiently established. For example, the technique disclosed in Patent Document 1 does not specify and use a state due to the influence of geomagnetism on a person's psychological state, behavior, or physical condition.

INDUSTRIAL APPLICABILITY The present invention can contribute to the realization of practical use of information on the influence of environmental factors on human beings, which is more useful to individuals or society by improving the health or psychological state of people or improving the quality of life. Provide information providing devices, etc.

The information providing device according to one aspect of the present invention includes an environmental information acquisition unit that acquires environmental information indicating the state of environmental factors that can affect the biological state of the target living body at a given date and time and a place, and has been measured in the past. A memory that holds a state model based on data showing the state of the environmental factor and data showing the biological state of the living body measured at the place and time corresponding to the place and time when the measurement of the state of the environmental factor was executed. Based on the unit and the environmental information, the state model is used to identify the biological state of the target living body corresponding to the environmental information, and the target at the given date and time based on the specified biological state. It includes a control unit that acquires and outputs information related to the biological state of the living body.

In addition, the information providing method according to one aspect of the present invention includes an environmental information acquisition step for acquiring environmental information indicating the state of environmental factors that can affect the biological state of the target living body at a given date and time, and measurement in the past. Holds a state model based on the data showing the state of the environmental factor and the data showing the biological state of the living body measured at the place and time corresponding to the place and time when the measurement of the state of the environmental factor was executed. Based on the storage step to be performed and the environmental information, the state model is used to identify the biological state of the target living body corresponding to the environmental information, and at the given date and time based on the specified biological state. It includes a control step of acquiring and outputting information related to the biological state of the target living body.

In addition, the program according to one aspect of the present invention is an environmental factor that can affect the health condition of the target living body at a given date and time and place on the processor by being executed by the processor in the information processing apparatus including the processor. The data showing the state of the environmental factor measured in the past and the living body measured at the place and time corresponding to the place and time when the measurement of the state of the environmental factor was executed by acquiring the environmental information indicating the state of The health condition corresponding to the environmental information is determined by using the health effect model based on the data indicating the health condition of the subject, and the health condition of the target living body at the given date and time is related to the determined health condition. To acquire health information and estimate the emotion of the target organism by using an emotion index, which is an index representing the emotion of the target organism, based on an emotion estimation model using environmental factors estimated based on the environmental information. Is specified at the desired target date and time, and the result of predicting the behavior of the target living body at the target date and time is output based on the emotion index specified by the emotion estimation unit.

It should be noted that these comprehensive or specific embodiments may be realized in a recording medium such as a system, an integrated circuit or a computer-readable CD-ROM, and the device, system, method, integrated circuit, computer program and recording medium. It may be realized by any combination of.

According to the information providing device or the like according to one aspect of the present invention, information on the influence of environmental elements on humans can be put into practical use that is useful to individuals or society through improvement of people's health or psychological state or improvement of quality of life. It makes it possible to contribute to the realization of practical use.

FIG. 1 is a diagram for explaining a configuration of an information providing device according to an embodiment. FIG. 2A is a block diagram showing an example of a hardware configuration that realizes the information providing device according to the embodiment. FIG. 2B is a schematic diagram showing an example of an information processing device that realizes the information providing device according to the embodiment. FIG. 2C is a schematic diagram showing an example of an information processing device that realizes the information providing device according to the embodiment. FIG. 2D is a schematic diagram showing an example of an information processing device that realizes the information providing device according to the embodiment. FIG. 3 is a diagram showing an example of a data structure of biometric information used for acquiring health information in the information providing device according to the embodiment. FIG. 4 is a diagram showing an example of a data structure of information on environmental factors used for acquiring health information in the information providing device according to the embodiment. FIG. 5 is a flowchart showing a procedure example of the operation of the information providing device according to the embodiment. FIG. 6 is a flowchart showing an example of a procedure for determining a health condition in the procedure for operating the information providing device illustrated in FIG. FIG. 7 is a schematic diagram showing an example of presenting health information by the information providing device according to the embodiment. FIG. 8 is a schematic diagram showing an example of presenting health information by the information providing device according to the embodiment. FIG. 9 is a flowchart showing an example of a procedure for estimating an emotional state in the procedure for operating the information providing device 10 illustrated in FIG. FIG. 10 is a flowchart showing an example of an action prediction procedure in the operation procedure of the information providing device 10 illustrated in FIG. FIG. 11 is a flowchart showing an example of a procedure for determining a health condition in the procedure for operating the information providing device 10 illustrated in FIG. FIG. 12 is a table showing the results of multiple regression analysis performed on environmental factors and the number of male suicides. FIG. 13 is a table showing the results of multiple regression analysis performed on environmental factors and the number of male traffic accidents. FIG. 14 is a table showing the relationship between environmental factors based on actual statistics and various deaths. FIG. 15 is a table showing the results of a linear regression analysis of the concentration of substances in the atmosphere and the number of suicide attempts. FIG. 16 is a table showing the relationship between the number of stink bugs and environmental factors. FIG. 17 is a table showing the results of multiple regression analysis between environmental factors and hedonometers. FIG. 18 is a schematic diagram showing a process of calculating happiness from environmental factors using multiple regression analysis and a correlation coefficient. FIG. 19 is a schematic diagram showing a process of predicting user behavior from happiness calculated from environmental factors using multiple regression analysis and a correlation coefficient. FIG. 20 is a table showing a causal relationship between suicide and environmental factors in consideration of time.

(Knowledge that became the basis of the present invention)
The present inventors, who had been paying more attention to the magnetic sensor provided by living organisms, have been studying the effects of magnetic fields on humans, and research reports on the correlation between geomagnetic disturbance and the number of depressions or suicides have been reported overseas. I found that many things have been done in. Non-Patent Document 1 listed in the column of "Background Technology", which is one of such previous studies, reports that depression in men increased by 36.2% two weeks after the earth's magnetic storm. In addition, Non-Patent Document 2 reports the relationship between the geomagnetic disturbance found in the survey in Australia and the number of suicides. In view of these research reports, the present inventors have found that there is a significant relationship between the monthly intensity disturbance of the geomagnetism and the number of male suicides in Japan as well (non-patent literature). 3). Furthermore, the present inventors have focused on the fact that the degree of geomagnetic fluctuation (K index) is generally larger in places where the geomagnetism is strong, and the strength of the geomagnetism at each prefecture's location and monthly by prefecture. It was found that there is a significant association with the standardized mortality ratio of male suicide (see Non-Patent Document 4).

Based on these findings, the present inventors hypothesized that, in addition to geomagnetism, there are various phenomena that can be perceived as meteorology on the earth or in space, which can be environmental factors that affect the human mind and body. I stood up. Then, in a survey conducted to test this hypothesis, we found that the disturbance of the geomagnetic field may affect the physical and mental activity or health of human beings. In addition, some of these phenomena have been found to be significantly associated with human mortality due to certain diseases. The results of these investigations will be described later.

Regarding the relationship between environmental factors and the onset / exacerbation of diseases, the relationship with myocardial infarction and stroke has been reported as a short-term effect of geomagnetic disturbance (see Non-Patent Documents 5, 6 and 7). ). In addition, as a long-term effect of geomagnetic disturbance, there is a report that the onset of multiple sclerosis tended to increase two years after the period when the geomagnetic fluctuation was large (see Non-Patent Document 8). In addition, there are several reports suggesting that occupational exposure to ultra-low frequency electromagnetic fields may increase the incidence of Alzheimer's disease, amyotrophic lateral sclerosis, and Parkinson's disease (see Non-Patent Documents 9-14). Furthermore, in Germany, medical weather forecasts are provided based on biometeorology. Medical weather forecast is based on weather data, heart failure, rheumatic disease, bleeding tendency, hypotension, schizophrenia, bronchitis, abdominal pain, sleep, depression, headache, convulsions, embolism, migraine, stump It provides warning forecasts for pain, inflammation, neuropathy, epilepsy, pneumonia, thrombosis, embolism, psychosis, traumatic encephalitis, glaucoma, reaction time, accident encounters, myocardial infarction, etc.

While proceeding with the above investigation, the present inventors further incorporated phenomena that have not been treated as environmental factors that affect the human mind and body in the past, and also forecasted the activities of the human mind and body in the past. A book for improving people's health or quality of life by making it possible to include things that are not covered by the forecast, or even the effects on the activities of other living organisms related to humans, in the forecast. I came up with the invention.

Such an information providing device according to one aspect of the present invention includes an environmental information acquisition unit that acquires environmental information indicating the state of environmental factors that can affect the biological state of the target living body at a given date and time and a place in the past. A state model based on the measured data showing the state of the environmental factor and the data showing the biological state of the living body measured at the place and time corresponding to the place and time when the measurement of the state of the environmental factor was executed. Based on the storage unit to be held and the environmental information, the state model is used to identify the biological state of the target living body corresponding to the environmental information, and the given date and time based on the specified biological state. A control unit that acquires and outputs information related to the biological state of the target living body in the above. This makes it possible to estimate the effects of environmental factors that may be complex on the living body with higher accuracy and provide the estimation results to people. More specifically, for example, the environmental factors include meteorology, which refers to at least one of atmospheric pressure, precipitation, temperature, humidity, wind speed, sunshine time, snowfall, and season, and solar activity, geomagnetic activity, ionization zone activity, and space. The health condition includes a dose and space weather indicating at least one of the ages of the moon, the health condition is a condition related to injury or death caused by the injury or illness, and the information related to the biological condition is symptoms, emotions, concentration, attention. Shows at least one of impulsiveness, activity, maneuverability, and depression. The environmental factors may also include Schumann resonance, F10.7 index, solar activity, geomagnetic activity, proton phenomenon, radiation belt electrons, ionospheric storm, Delinger phenomenon and sporadic E layer intensity.

For example, the control unit is an emotion index that represents the emotion of the target living body based on an emotion estimation model using environmental factors estimated based on the environmental information, and obtains the emotion of the target living body. Behavior prediction that predicts and outputs the behavior of the target living body at the target date and time based on the emotion estimation unit that specifies the emotion index at the target date and time that is desired to be estimated and the emotion index specified by the emotion estimation unit. It may be provided with a part. Thereby, the information providing device according to one aspect of the present invention can specify the emotion of the target living body and predict the behavior of the target living body based on the specified emotion.

Further, for example, the control unit determines a health state corresponding to the environmental information by using a health effect model using an environmental factor generated based on the environmental information, and is based on the determined health state. A health determination unit that acquires and outputs health information related to the health state of the target living body at a given date and time may be provided. Thereby, the information providing device according to one aspect of the present invention can determine the health state of the target living body and output the determined health state.

Further, for example, the health effect model is an inference model obtained by machine learning using the data indicating the state of environmental factors measured in the past as learning data and the data of the health state of the living body as teacher data. You may.

Further, for example, the health effect model further indicates the psychological state of the group including the target living body, based on the data indicating the psychological state of the living body and the health state data of the living body. The health state obtained by acquiring the group psychological state information and determined by the health determination unit using the health effect model may further correspond to the psychological state indicated by the group psychological state information. Further, for example, the health effect model is further based on the data of the environmental gene collected in the environment surrounding the living body and the data of the health state of the living body, and the health determination unit is further collected in the environment surrounding the target living body. The health state obtained by acquiring the environmental gene information which is the information obtained from the obtained environmental gene and determined by the health determination unit using the health effect model further corresponds to the environmental gene information indicated by the environmental gene state information. It may be a thing. As a result, the accuracy of the above estimation can be further improved.

Further, for example, the health effect model further acquires individual information of the target organism based on the data of the individual information of the living body, and the health determination unit uses the health effect model. The health state to be determined may further correspond to the individual information of the target living body. More specifically, for example, the individual information may include at least one of biological information, genetic information, epigenetic information and birth time.

Further, for example, in the emotion estimation model, the relationship between the state of the environmental factor and the emotion index of the living body is based on the data indicating the state of the environmental factor measured in the past and the data of the emotion index of the living body. It may be a model obtained by statistically analyzing the sex. Further, for example, the emotion estimation model is an inference model obtained by machine learning using the data indicating the state of environmental factors measured in the past as training data and the emotion data of the living body as teacher data. You may. And, for example, the machine learning may be deep learning.

Further, for example, the emotion estimation unit may specify the emotion index representing the emotion of the target living body at the target date and time based on the environmental information for a predetermined time before the target date and time. Further, for example, the behavior prediction unit statistically analyzes the relationship between the data of the emotion index of the living body and the data indicating the behavior performed by the living body based on the data of the emotion index of the target living body. The behavior of the target organism at the target date and time may be predicted using the model obtained by. Thereby, the accuracy of each of the above estimations, judgments and predictions can be further improved.

Further, for example, the first sensor may be further provided, and the provided information acquisition unit may acquire the biological information acquired based on the result of measurement using the first sensor as the individual information. As a result, the user can acquire health information corresponding to his / her latest biological information measured by using the first sensor included in the information providing device.

Further, for example, the second sensor may be further provided, and the environmental information acquisition unit may acquire the environmental information based on the result of measurement using the second sensor. This makes it possible to provide health information corresponding to the latest environmental factors, for example, in a local place. Further, if the second sensor is provided in, for example, a wearable terminal or a mobile device, it is possible to provide health information according to the location of the user.

Further, for example, the communication unit may be further provided, and the environment information acquisition unit may acquire the environment information based on the data received from the outside by the communication unit. In such an embodiment, it is possible to provide the estimation result of the influence of the environmental factor on the target living body as health information at any place where the information is available.

Further, for example, the storage unit contains data indicating the state of the environmental factor measured in the past and the economic trend observed at the place and time corresponding to the place and time when the measurement of the state of the environmental factor was executed. Further holding an economic impact model based on the data, the provided information acquisition unit further determines the economic trend corresponding to the environmental information using the economic impact model, and is currently based on the determined economic trend. Alternatively, economic information related to future economic trends may be acquired and output. Economic activity has an aspect of manifestation of human mental and physical activities, and although it is indirect, it can be affected to some extent by complex environmental factors including meteorological and celestial activities. Therefore, by using such information, it is possible to estimate economic trends with higher accuracy and provide the estimation results to people.

Further, for example, the information providing method in the embodiment of the present invention includes an environmental information acquisition step for acquiring environmental information indicating the state of environmental factors that can affect the biological state of the target living body at a given date and time, and the past. A state model based on the data showing the state of the environmental factor measured in the above and the data showing the biological state of the living body measured at the place and time corresponding to the place and time when the measurement of the state of the environmental factor was executed. At a given date and time based on the identified state, the state of the target living body corresponding to the environmental information is specified by using the state model based on the storage step for holding the environmental information and the environmental information. It includes a control step of acquiring and outputting information related to the state of the target organism. As a result, the information providing method according to the embodiment of the present invention can have the same effect as the above-mentioned information providing device.

Further, for example, in the information processing apparatus including the processor, the program according to the embodiment of the present invention may affect the health condition of the target living body at a given date and time and place on the processor by being executed by the processor. Environmental information indicating the state of the environmental factor is acquired, and the data indicating the state of the environmental factor measured in the past and the place and time corresponding to the place and time when the measurement of the state of the environmental factor is executed are measured. The health condition corresponding to the environmental information is determined by using the health effect model based on the data indicating the health condition of the living body, and the health condition of the target living body at the given date and time is determined based on the determined health condition. Based on an emotion estimation model using environmental factors generated based on the environmental factors, the relevant health information is acquired, and the emotion index, which is an index representing the emotion of the target organism, is estimated. It may be specified at the target date and time desired to be performed, and the result of predicting the behavior of the target living body at the target date and time may be output based on the emotion index specified by the emotion estimation unit. As a result, the program according to the embodiment of the present invention can have the same effect as the above-mentioned information providing device.

It should be noted that these comprehensive or specific embodiments may be realized in a recording medium such as a method, system, integrated circuit or computer readable CD-ROM, and the device, system, method, integrated circuit, computer program and the like. It may be realized by any combination of recording media.

Hereinafter, the embodiment will be specifically described with reference to the drawings. It should be noted that all of the embodiments described below show comprehensive or specific examples. Numerical values, shapes, materials, components, component positions, arrangements and connection forms, method steps, step sequences, etc. shown in the embodiments are provided for the purpose of explaining such an example. It is not intended to limit the present invention.

(Embodiment)
[Overview]
The information providing device according to the present embodiment provides the user with information related to the biological state, which is information related to the biological state of the mind and body, and predicts the user's behavior based on the information related to the biological state. , Provide the prediction result to the user.

Information related to the biological condition here may be called health information. Health information includes, for example, the presence or absence of symptoms (including attacks) due to various injuries and illnesses, exacerbations or remissions, emotions (eg, relief-anxiety, happiness, tension-relaxation, excitement, motivation, irritation, etc.), concentration. Information about power, anxiety, impulsivity, activity (including hyperactivity or dysphoria), manic or depressive behavior. More specifically, examples thereof include information on these biological conditions, trends in changes in biological conditions, the possibility of changes, etc., or advice, treatment methods, or alerts according to these trends or possibilities.

There are multiple types of information that can be used to obtain such health information.

One is information about the weather at the place where the user is (hereinafter, also simply referred to as weather information). Specific examples of what the term meteorology refers to in the present disclosure include atmospheric pressure, precipitation, temperature, humidity, wind speed, sunshine duration, snowfall and season.

In addition, information on the space weather of the place where the user is (hereinafter, also simply referred to as space weather information) is also used. Specific examples of what the term space weather refers to in this disclosure include solar activity, geomagnetic activity, ionospheric activity, and moon age. Examples of indicators representing solar activity include the bulk velocity of the solar wind, the proton flow rate (proton flux, an index of radiation exposure due to flare), the solar radio wave flow rate (F10.7 index), and the number of black spots. As an index showing the geomagnetic activity, the K index (geomagnetic disturbance) can be mentioned as an example. Moon age is caused by changes in the relative positions of celestial bodies that move with high periodicity, and is not a phenomenon such as flare or geomagnetic disturbance that sometimes shows sudden changes. However, there are many reports pointing out the correlation between the full moon and human activity (see, for example, Non-Patent Document 15). In consideration of this point, the age of the moon is included in one of the space weathers in this disclosure.

In addition to space weather, the book says that galactic cosmic rays and Schumann resonance, which is an extremely long wave that always exists between the earth's surface and the ionosphere, can also be used as information that can be used to acquire health information. This is the idea of the inventors. The energy source of Schumann resonance is considered to be the discharge of lightning or the vibration of the ionosphere due to the solar wind, and there is a report on the correlation between the change in strength and the change in blood pressure of healthy subjects (see Non-Patent Document 16). ..

Note that some of these indicators are global. And "the place where the user is" may refer not only to a limited place on the earth but also to the whole earth, or further to a place outside the earth, for example, the moon and other celestial bodies and spacecraft in outer space. In some cases. The information providing device according to the present embodiment can be applied to a user who is outside the earth, and space weather information that affects the mind and body of the user at each place may be used as long as it can be obtained. .. In addition, when observations for acquiring weather information, space weather information, or Schumann resonance information are performed at a location away from the user's location, the time difference between the observed phenomenon or biological condition occurring at the user's location. Alternatively, the content of the health information to be obtained may be determined, taking into account the possibilities as necessary.

The above-mentioned weather, space weather, and Schumann resonance can all affect the biological state of the user who is a living body, and are examples of environmental factors in the present disclosure.

Further, in order to acquire health information, information unique to the individual user (hereinafter, also referred to as individual information) may be used. Specific examples include biological information and genetic information. Specific examples of biological information in the present disclosure include gender, age, pulse, heartbeat, blood pressure, respiratory rate, exhaled breath and other biological gas components, body temperature, sweating, brain waves, activity amount, sleep time, calorie intake, and nutrient intake. , Drugs to be taken (eg, pharmaceuticals, favorite foods such as tobacco), body composition, and information obtained by sample tests or various clinical tests on specimens such as blood. In addition, information indicating the user's physique, such as height, weight, abdominal circumference, and various anthropometric indexes, may be included in the biological information in the present disclosure. For the acquisition of health information, only the latest information such as such information may be used, or history may be used. The genetic information is also information obtained from a sample such as saliva, but here, among the information obtained by analyzing the gene, for example, the constitution of the user, the risk related to various diseases, etc., the above-mentioned living body is congenital. It can also include more potential than information. In addition, in the present disclosure, the user's labor information (working status, working hours, salary) and the user's birth time (day, month or season) may be included in the individual information that can be used for acquiring health information. It has been reported that there is a relationship between the risk of some diseases such as asthma, Crohn's disease, and psychiatric disorders and the time of birth (see Non-Patent Document 17).

The individual condition indicated by individual information such as these is also known to be related to the user's health condition, and includes those that may affect the user's health condition.

Up to this point, the term "user" has been used to refer to a person whose health condition has been determined by the information providing device according to the present embodiment, but in the present disclosure, "user" in the context so far has been used in a narrow sense. You are a user. Users in a broader sense may include people who use this health information in the health care of a person whose health information provides information related to their health status, such as family members, healthcare professionals and caregivers. Further, as briefly mentioned above, the technique according to the present disclosure can also be used for acquiring health information related to the health condition of a living body other than human. The living body other than humans here may be, for example, an industrial animal, a domestic animal, an exhibited animal, or an experimental animal. Furthermore, for aquatic animals that are the target of capture or aquaculture, or pests and pests that are the target of repellent or extermination, some individuals are sampled and the above-mentioned individual information of the individual is collected, and the population including the individual is collected. It may also be applied to the acquisition of health information related to health conditions focusing on activities such as movement and breeding of animals, or epidemics of diseases. People who use health information in these cases are also included in the broad sense of users. The term "user" below should be understood in the appropriate sense depending on the context and, if possible, in any sense. In some cases, the meaning may be clearly stated or exemplified as appropriate.

[Constitution]
Next, an example of the configuration of the information providing device according to the present embodiment, which receives input of information indicating the state of the above-mentioned environmental factors (hereinafter, also referred to as environmental information) and individual information and outputs health information using these. Will be described using. FIG. 1 is a diagram for explaining the configuration of the information providing device 10 according to the present embodiment.

In this example, the information providing device 10 constitutes the information providing system 1 together with the measuring device 20 and the server 50.

The information providing device 10 is connected to the measuring device 20. The measuring device 20 includes a sensor 21 for acquiring biometric information of the user. The measuring device 20 is, for example, a pulse rate monitor, a sphygmomanometer, an electrocardometer, a thermometer, a sweat meter, a brain wave meter, a weight scale, etc., and the sensor 21 is a pressure, temperature, movement, electricity, etc. used in these devices. Various sensors that detect magnetism, electromagnetic waves, etc. The user's biological information acquired based on the measurement result using the sensor 21 is input from the measuring device 20 to the information providing device 10. Although the number of measuring devices 20 shown in FIG. 1 is only one, there is no limit to the number and types of measuring devices that provide biological information to the information providing device 10.

The measuring device 20 may be portable or wearable by the user, and may be able to acquire biometric information at all times or at any time according to the user's operation, or may intermittently acquire biometric information according to a set schedule. You may. Alternatively, the measuring device 20 may be a device installed at the user's home or a facility used by the user. In this case, the biological information obtained by the measuring device 20 is not limited to the information acquired by the user actively using the measuring device 20. For example, the user's skin temperature measured remotely in the living room, the biogas component based on the analysis of the air component in the living room, the pressure sensed by the sensor installed on the user stepping, pushing, grasping, sitting or lying down, etc. Etc. may be acquired as biometric information provided to the information providing device 10.

Further, the biological information acquired by the measuring device 20 may be constantly transmitted from the measuring device 20 to the information providing device 10 or at any time according to the operation of the user, or may be intermittently transmitted according to a set schedule. .. The information providing device 10 and the measuring device 20 may be always connected wirelessly or by wire for communication, or may be connected only when necessary. Further, the biological information is not directly transmitted from the measuring device 20 to the information providing device 10, but may be exchanged via a storage device, for example, a home server or a cloud server, to which both are communicably connected.

Further, the information providing device 10 is connected so as to be able to communicate with the server 50 via the communication network. For example, the server 50 is a web server, and the communication network is the Internet. This web server stores environmental information including meteorological information, space weather information, and Schumann resonance information observed and acquired by an observation institution or a research institution in a storage device. The information providing device 10 may intermittently acquire this environmental information by connecting to the server 50 at any time according to the operation of the user or via the communication network according to the set schedule. Alternatively, the information may be transmitted from the server 50 to the information providing device 10 via the communication network every time the information is updated or according to a set schedule.

The information providing device 10 includes a user interface 12, a communication unit 14, a storage unit 16, and a control unit 18 as functional components. The information providing device 10 is realized by an information processing device including, for example, a processor (arithmetic processing unit) and a memory (storage device), and these components are one or a plurality of programs in which the processor is stored in the memory. It is realized by executing and working with various hardware. FIG. 2A is a block diagram showing an example of the hardware configuration of such an information processing device.

Each rectangular block shown in FIG. 2A shows the hardware component of the information processing device. The input device is, for example, a keyboard, a touch screen, a pointing device such as a mouse or a touch pad, a microphone, and switches such as various physical buttons. The arithmetic processing unit is, for example, a CPU (Central Processing Unit, central processing unit). The output device is, for example, a display, a speaker, a lamp, a vibrator, or the like. The storage device is, for example, a non-volatile recording medium such as a hard disk or a flash memory, and a volatile recording medium such as a RAM (Random Access Memory). Further, the communication device is a communication module such as a network card that realizes wired or wireless communication. These hardware components are connected to a bus for communication with each other. 2B, 2C, and 2D are schematic views showing an example of an information processing device that realizes the information providing device 10 with such a hardware configuration. FIG. 2B shows a smartphone, FIG. 2C shows a smart watch, and FIG. 2D shows a desktop personal computer as an example of such an information processing device. However, the information processing device that can realize the information providing device 10 is not limited to these. Other examples include tablet or notebook computers and wearable terminals such as smart eyewear or activity meters. Further, the information providing device 10 may be realized by a combination of two or more of the information processing devices such as these.

The above configuration of the information processing device is an example, and the configuration of the information processing device that can realize the information providing device 10 is not limited to this example. For example, a reading device for acquiring data from a removable medium using an electromagnetic recording medium, and a camera as an input device may be provided.

The explanation of the components of the information providing device 10 will be continued with reference to FIG. 1 again.

The user interface 12 accepts input by the user of information used for acquiring health information, and presents the acquired health information to the user. The hardware of FIG. 2A is a functional component realized by using an input device and an output device.

The information input from the user interface 12 includes individual information of the user that is not measured by the measuring device 20. For example, health such as birth time (date of birth or season), place of birth or habitat, current place of residence, gender, subjective symptoms, medical history of the person or family, labor information, etc. Information that can be used to determine the state may be input via the user interface 12. Further, the calorie intake, the nutrient intake, and the drug to be ingested may be input by, for example, the user using the user interface 12 to select the ingested substance and amount from the options. Alternatively, the meal content may be recognized from the image taken by the user using a camera to calculate calories or estimate nutrients. Similarly, the drug to be taken may be recognized by using an image. The genetic information used as individual information may be input to the information providing device 10 using the user interface 12. Further, it may be read from a removable medium in which the genetic information is recorded by using a reading device. Further, it may be acquired by the following communication unit 14 via a communication network from a service provider that acquires genetic information from a sample. In addition, the information contained in the electronic medical record held by the medical institution may also be input to the information providing device 10 as individual information by each of the above routes and used.

The communication unit 14 receives the environmental information used for acquiring the health information from the server 50 via the communication network. FIG. 3 shows an example of a data structure of environmental information used for acquiring health information in the information providing device 10. The environmental information corresponds to the user's whereabouts at a given date and time. For example, as for the current location of the user, when the information providing device 10 is compatible with a positioning system such as GPS (Global Positioning System), the position information acquired by using the positioning system is transmitted from the communication unit 14 to the server 50. The weather information or the like that is transmitted and corresponds to the position indicated by the position information may be provided from the server 50 to the information providing device 10. In addition, as other information indicating the current location of the user, among the information used for connecting to the communication network by the information providing device 10, the information whose position can be known with a certain degree of accuracy, for example, the IP (Internet Protocol) address is the server 50. It may be used in. Further, the information explicitly input by the user using the user interface 12 may be used as the position information indicating the user's whereabouts. In this case, unlike the previous two examples, the location of the user (or the information providing device 10 used by the user) at a given date and time indicated by the location information is not limited to the current location, and is in the past or future. It may be a position. Further, the user's location information may be acquired from the schedule information accessible to the information providing device 10. For example, it may be acquired from a schedule management application on an information processing terminal that realizes the information providing device 10, or a remote server that provides a schedule management service used from the information processing terminal. Then, the server 50 provides the information providing device 10 with a past record or a future forecast at that position as weather information or the like. As for the past weather information, information corresponding to the history of information such as position information or IP address acquired by using a positioning system or the like may be provided.

Such a communication unit 14 is a functional component realized by using the communication device of FIG. 2A.

The environmental information acquisition unit 17 acquires environmental information indicating the state of environmental factors that can affect the biological state of the target living body at a given date and time and place. The environment information acquisition unit 17 acquires environment information from the server 50. Environmental information is data showing environmental factors such as precipitation, temperature, humidity, sunshine duration, F10.7 index, and galactic cosmic dose.

The control unit 18 determines the biological state of the user corresponding to the individual information of the user including the biological information acquired from the measuring device 20 and the environmental information acquired from the server 50, or predicts the behavior of the user. FIG. 4 shows an example of data configuration of biological information acquired from the measuring device 20. This determination is performed by applying the state model, the emotion estimation model, and the health effect model held in the storage unit 16 to the information.

The state model is a model based on the data showing the state of the environmental factor measured in the past and the data of the biological state of the user measured in the past. For example, the data showing the state of the environmental factor measured in the past and the data showing the state of the environmental factor measured in the past. It is obtained by statistically analyzing the relationship between the state of environmental factors and the biological state of the user based on the data of the biological state of the user measured at the place and time when the measurement was performed. As a specific example, the value of the item included in the individual information and the value of the item included in the environmental information etc. are used as explanatory variables, and the value of the item included in the item of health information, for example, the incidence rate of the symptom of a certain disease is used as the objective variable. It is a multiple regression equation obtained by multiple regression analysis. Further, as another specific example, the value of the item included in the individual information and the value of the item included in the environmental information are included in the explanatory variable and the item of the health information, for example, for the purpose of the occurrence rate of the user's emotional state. It is a multiple regression equation obtained by multiple regression analysis performed as a variable. Alternatively, it may be a table based on the results obtained by such statistical analysis. Another example may be a machine learning inference model such as a deep neural network trained to infer various items of the user's biological state from data indicating the state of environmental factors. Here, machine learning may be a learning model that performs deep learning. Such an inference model uses, for example, data indicating the state of weather, space weather, and Schumann resonance obtained by measurement in the past as learning data, and the state of the user measured at the place and time when the measurement was performed. Obtained by supervised learning using data (disease state, health state or emotional state) as teacher data.

In addition, the environmental information used in the state model includes, for example, meteorology, which indicates at least one of atmospheric pressure, precipitation, temperature, humidity, wind speed, sunshine time, snowfall, and season, and solar activity, geomagnetic activity, and ionization zone activity. Includes cosmic dose and at least one of Mercury, Venus, Earth, Mars, Jupiter, Saturn, Tenno, Neptune and the Moon, social conditions, days and environmental hormones. Environmental information includes meteorology, solar activity, geomagnetic activity, ionospheric activity, cosmic dose, which refers to at least one of pressure, precipitation, cloud volume, temperature, humidity, wind speed, sunshine time, number of lightning, snowfall, and season. Includes galactic cosmic dose, F10.7 index, black dot count, proton phenomenon, radiation belt electrons, ionospheric storms, Delinger phenomenon, sporadic E layer, and cumulative exposure to space weather that refers to at least one of the ages of the moon. In addition, the environmental factor may include group psychological state information indicating the psychological state of the group.

The emotion estimation model is a state model that specializes in estimating the user's emotions. The emotion estimation model is a model based on the data showing the state of the environmental factor measured in the past and the data of the emotional state of the user measured in the past, for example, the data showing the state of the environmental factor measured in the past. , It is obtained by statistically analyzing the relationship between the emotional state of environmental factors and the biological state of the user based on the data of the emotional state of the user measured at the place and time when the measurement was performed. As a specific example, the value of the item included in the individual information and the value of the item included in the environmental information etc. are used as explanatory variables, and the value of the item included in the item of health information, for example, the occurrence rate of the user's emotional state is used as the objective variable. It is a multiple regression equation obtained by multiple regression analysis. Alternatively, it may be a table based on the results obtained by such statistical analysis. Another example may be a machine learning inference model such as a deep neural network trained to infer various items of the user's emotional state from data indicating the state of environmental factors. Here, machine learning may be a learning model that performs deep learning. Such an inference model uses, for example, data indicating the state of weather, space weather, and Schumann resonance obtained by measurement in the past as learning data, and the user's emotion measured at the place and time when the measurement was performed. Obtained by supervised learning using state data as teacher data. Here, the user's emotional state includes happiness, emotions, organic psychiatric disorders, mental / behavioral disorders due to agents, and intrinsic psychiatric disorders including schizophrenia, mood disorders, and neurotic disorders. Including.

Specifically, the emotional state of the user is irritability, comfort, enjoyment, familiarity, respect / respect, gratitude, pleasantness, pride, impression, joy, sadness, loneliness, dissatisfaction, and sadness. , Suffering, anxiety, depression, pain, like, hatred, embarrassment, impatience, surprise, anger, happiness, resentment, fear (in the sense of excuse, etc.), fear, regret, celebrating feelings, embarrassment, awkwardness, Excitement, worries, aspirations, disappointment, mercy, disdain, apology, hesitation, discomfort, negligence, disappointment, worry, tension, jealousy, hate, regret, pity, calm, depression / anxiety, negligence, inactive pleasure, concentration, Includes feelings of hostility, active pleasure, affinity and startle, as well as happiness.

The health effect model is a model based on the data showing the state of environmental factors measured in the past and the data of the health condition of a person measured in the past, for example, the data showing the state of environmental factors measured in the past. , It is obtained by statistically analyzing the relationship between the state of environmental factors and the user's health state based on the data of the user's health state measured at the place and time when the measurement was performed. As a specific example, the value of the item included in the individual information and the value of the item included in the environmental information etc. are used as explanatory variables, and those included in the item of health information, for example, the incidence rate of the symptom of a certain disease is used as the objective variable. It is a multiple regression equation obtained by multiple regression analysis. Alternatively, it may be a table based on the results obtained by such statistical analysis. Another example may be a machine learning inference model such as a deep neural network trained to infer various items of the user's health condition from data indicating the state of environmental factors. Here, machine learning may be a learning model that performs deep learning. Such an inference model uses, for example, data indicating the state of weather, space weather, and Schumann resonance obtained by measurement in the past as learning data, and the user's health measured at the place and time when the measurement was performed. Obtained by supervised learning using state data as teacher data.

Further, the control unit 18 acquires state information related to the biological state of the user based on the biological state that is the result of the determination of the above state model, and the user's behavior or predicted based on the acquired state information. Output the biological state. The content of the state information may be the result of the determination itself, for example, the possibility that a symptom of a certain disease may occur in the user, or the possibility of a change such as exacerbation or remission of the symptom. In addition, the information may include advice, an allowance method, or a warning according to the result of such a determination. As for the health information having such contents, for example, a list of messages according to the onset or change of symptoms and the possibility thereof is held in the storage unit 16, and the control unit 18 acquires this message according to the result of the above determination. You may. Alternatively, the control unit 18 transmits the result of the above determination to an external AI (Artificial Intelligence) server via the communication unit 14, and provides information such as appropriate advice according to the determination result from the AI server to health information. May be obtained as. This AI server is prepared in advance for providing such information. The control unit 18 provides the acquired health information to the user via the user interface 12. The format of the data indicating the health information may be any of visual information including characters, figures and the like, voice, or a combination thereof. Further, along with or in place of the presentation of these data, non-voice sounds (beep sound, etc.), lamp lighting, and vibration of the vibrator may be used.

Such a control unit 18 is realized by the arithmetic processing unit of FIG. 2A executing a program stored in the storage device and accessing the storage device as necessary to refer to and save the data. It is a functional component to be used.

The storage unit 16 has already been described in the description of the other components so far, and is used by the information providing device 10 to output the health information provided to the user in response to the input of the individual information and the environmental information. Holds data such as health effects model, state model or emotion estimation model. In addition, for determining the user's biological state, the user's emotional state or the user's health state using a state model, an emotion estimation model or a health effect model, acquiring health information, and presenting the acquired health information to the user. A program (application) executed by the control unit 18 is also stored in the storage unit 16. In addition, for example, the result of this determination or the history of health information presented to the user may also be stored in the storage unit 16. The emotion estimation unit 18a acquires health information related to the emotional state of the user based on the state that is the result of the determination of the above emotion estimation model. That is, the emotion estimation unit 18a estimates the user's emotion by using the emotion index, which is an index representing the emotion of the user (target living body), based on the emotion estimation model using the explanatory variables generated based on the environmental information. Specify at the desired target date and time. Here, the emotional index is a numerical value or a word indicating the degree of emotions and emotions and emotions.

The content of the health information output by the emotion estimation unit 18a is an emotion index. In addition, the information may include advice, treatment methods, or alerts according to the specified emotional index. As for the health information having such contents, for example, a list of messages according to the change of the psychological state and the possibility thereof is held in the storage unit 16, and the emotion estimation unit 18a acquires this message according to the result of the above determination. You may. Alternatively, the emotion estimation unit 18a transmits the result of the above determination to an external AI server via the communication unit 14, and acquires information such as appropriate advice according to the result of the determination as health information from the AI server. You may. This AI server is prepared in advance for providing such information. The emotion estimation unit 18a provides the acquired health information to the user via the user interface 12. The format of the data indicating the health information may be any of visual information including characters, figures and the like, voice, or a combination thereof. Further, along with or in place of the presentation of these data, non-voice sounds (beep sound, etc.), lamp lighting, and vibration of the vibrator may be used.

The behavior prediction unit 18b predicts and outputs the behavior of the user (target living body) at the target date and time based on the emotion index specified by the emotion estimation unit 18a. That is, the behavior prediction unit 18b statistically analyzes the relationship between the data of the emotion index of the living body and the data indicating the behavior performed by the living body based on the data of the user's emotion index, and obtains a model. It is used to predict the user's behavior at the target date and time. The content of the action may be, for example, a purchasing action or a dangerous action. In addition, the behavior prediction unit 18b may present information including advice, an allowance method, or a warning according to the result of such prediction. The content of the health information output by the behavior prediction unit 18b is information on the predicted behavior. As for the information about the predicted behavior, for example, a list of messages according to the change of the behavior and its possibility is held in the storage unit 16, and the behavior prediction unit 18b acquires this message according to the result of the above prediction. May be good. Alternatively, the behavior prediction unit 18b transmits the result of the above prediction to an external AI server via the communication unit 14, and acquires information such as appropriate advice according to the judgment result from the AI server as health information. You may. This AI server is prepared in advance for providing such information.

The behavior prediction unit 18b provides the acquired health information to the user via the user interface 12. The format of the data indicating the behavior information may be any of visual information including characters, figures, etc., voice, or a combination thereof. Further, along with or in place of the presentation of these data, non-voice sounds (beep sound, etc.), lamp lighting, and vibration of the vibrator may be used.

Further, the health determination unit 18c acquires health information related to the biological state of the user based on the biological state that is the result of the determination of the above state model, and the living body of the user determined based on the acquired health information. Output the status. The content of the health information output by the health judgment unit 18c may be the judgment result itself, for example, the possibility that a symptom of a certain disease may occur in the user, or the possibility of a change such as exacerbation or remission of the symptom. You may. In addition, the content of the health information may be information containing advice, an allowance method, or a warning according to the result of such a determination. As for the health information having such contents, for example, a list of messages according to the onset or change of symptoms and the possibility thereof is held in the storage unit 16, and the health determination unit 18c sends this message according to the result of the above determination. You may get it.

Alternatively, the health determination unit 18c transmits the result of the above determination to an external AI server via the communication unit 14, and acquires information such as appropriate advice according to the determination result as health information from the AI server. You may. This AI server is prepared in advance for providing such information. The health determination unit 18c provides the acquired health information to the user via the user interface 12. The format of the data indicating the health information may be any of visual information including characters, figures and the like, voice, or a combination thereof. Further, along with or in place of the presentation of these data, non-voice sounds (beep sound, etc.), lamp lighting, and vibration of the vibrator may be used.

Such a storage unit 16 is a functional component realized by using the storage device of FIG. 2A.

[motion]
Next, the operation of the information providing device 10 having the above configuration will be described with reference to a procedure example. FIG. 5 is a flowchart showing a procedure example of the operation of the information providing device 10. In the following, a procedure example of the operation of the information providing device 10 that provides information on the biological state related to the biological state of the user from the present to the near future will be described with reference to this flowchart. In the following description with reference to FIG. 5, each process executed by the function of each of the above components will be described as an operation process of the information providing device 10.

(S10) The information providing device 10 acquires individual information of a user who is a determination target person for a biological state. Examples of the information included in this individual information include genetic information read from removable media using a reading device. In addition, biological information based on the result of measurement using the sensor 21 in the measuring device 20 can also be included in this individual information.

(S20) The information providing device 10 acquires the current time information and the user's position information. The time information is, for example, a value of a system clock included in the information providing device 10 which is an information processing device. The position information is output from, for example, the receiver of the positioning system included in the information providing device 10.

(S30) The information providing device 10 transmits the time information and the position information acquired in step S20 to the server 50, and receives and acquires the environment information corresponding to the time information and the position information from the server 50. “Corresponding to time information and position information” is, for example, environmental information about an area covering the position indicated by the position information, and is the latest information held by the server 50. Further, the information providing device 10 may be provided with environmental information which is a history or a forecast. Such environmental information at a time different from the present is useful for determining the past biological state or the future modulation of the biological state.

(S40) The information providing device 10 determines the biological state corresponding to the individual information and the environmental information by using the state model. A more detailed example of the determination of the biological state executed in step S40 is shown in the flowchart of FIG. FIG. 6 is a flowchart showing an example of a procedure for determining a biological state in the procedure for operating the information providing device 10 illustrated in FIG. In this example, multiple regression equations are used as a state model to determine certain items of the biological state, such as future changes in a symptom (exacerbation, improvement, amelioration, or almost no change, etc.).

(S41) The control unit 18 acquires a multiple regression equation as a state model.

(S42) The control unit 18 substitutes the values of each item of the individual information acquired in step S10 and the environmental information acquired in step S30 into the multiple regression equation acquired in step S41 as the value of the explanatory variable and calculates. ..

(S43) It is determined whether or not the value of the objective variable obtained as a result of the calculation in step S42 exceeds a predetermined threshold value. When the value of the objective variable is equal to or less than a predetermined threshold value (No in S43), the control unit 18 advances the procedure to step S44. When the value of the objective variable exceeds a predetermined threshold value (Yes in S43), the control unit 18 advances the procedure to step S45.

(S44) The control unit 18 obtains a determination result that the symptom in this example is improved or ameliorated, and finishes the determination of the biological condition.

(S45) The control unit 18 acquires a determination result that the state in this example is exacerbated, and finishes the determination of the biological state.

The above example of the procedure for determining the biological condition is simplified for the sake of simplicity. In practice, for example, a determination may be made for a plurality of items of health information. Further, for example, the determination result regarding the future time-series change of the symptom may be acquired by repeating the determination according to the future change of the weather shown in the weather forecast as the meteorological information.

Refer to FIG. 5 again to return to the explanation of the operation of providing health information. Here, the health information is information on the biological state.

(S50) The information providing device 10 acquires information on the biological state related to the biological state determined in step S40, and presents this health information to the user. FIG. 7 is a schematic diagram showing an example of presentation of health information by the information providing device 10.

FIG. 7 shows an example of this presentation by taking the case where the information providing device 10 is realized by the smartphone shown in FIG. 2B as an example. In this presentation example, health information is displayed under the weather forecast by the weather forecast application on the lock screen of the smartphone. The health information in this example is information related to the biological state related to the user's future depressive behavior, and characters and figures that are a part thereof are displayed. When this health information is acquired by the information providing device 10 and can be displayed on the lock screen, a notification may be given by sound, vibration, or lighting of a lamp.

FIG. 8 is also a schematic diagram showing an example of presentation of health information by the information providing device 10. For example, on the lock screen shown in FIG. 7, when the user selects the display of "details" in the section of health information, the display (corresponding to the user interface 12) of the smartphone is displayed in this way. Alternatively, the health information may be displayed on the display in this way when the application for realizing the information providing device 10 installed in the smartphone is started. In the example shown in FIG. 8, the details of the health information related to the biological state related to the depressive behavior presented in FIG. 7 are displayed. This health information includes a change of about half a day from the current state of depression (after 18:00 on June 25), which is the user's biological state, under the item of "biological state". The result of the determination of the depressive behavior performed by the control unit 18 is presented using a figure imitating a person's facial expression that reflects the mood. In addition, below that, a commentary corresponding to the result of the determination of the biological state as health information is presented. For example, to reduce the depression of a user who is depressed and who is more depressed because of how long the mood will last, by showing this health information and letting the user know that his / her mood will improve in the future. There is a possibility of being forced to do so.

The above is an example shown to promote understanding of the concept of health information presented to the user. As another example, prospects for the likelihood of a seizure may be provided as health information. A user who is presented with health information indicating that there is a high possibility of future onset can prepare, for example, a drug to be used at the time of onset or prepare to avoid a situation in which a seizure is likely to occur.

The presentation of the health information shown in FIG. 7 or FIG. 8 includes, for example, an application installed in the information providing device 10 for determining a biological state and presenting health information related to the biological state, and information processing. This is done in collaboration with the OS (Operating System) of the information providing device 10 that realizes the device.

Next, the operation of the emotion estimation unit 18a will be described. FIG. 9 is a flowchart showing an example of a procedure for estimating an emotional state in the procedure for operating the information providing device 10 illustrated in FIG.

(S40) The information providing device 10 determines the emotion corresponding to the individual information and the environmental information by using the emotion estimation model among the state models.

(S61) The emotion estimation unit 18a acquires a multiple regression equation as an emotion estimation model.

(S62) The emotion estimation unit 18a substitutes the values of each item of the individual information acquired in step S10 and the environmental information acquired in step S30 into the multiple regression equation acquired in step S61 as the values of the explanatory variables, and performs an operation. To do. The emotion estimation unit 18a identifies an emotion index representing the emotion of the user (target living body) at the target date and time based on the environmental information for a predetermined time before the target date and time. Here, the target date and time is a date and time for estimating the user's emotion at that date and time.

(S63) It is determined whether or not the value of the objective variable obtained as a result of the calculation in step S62 exceeds a predetermined threshold value. When the value of the objective variable is equal to or less than a predetermined threshold value (No in S63), the emotion estimation unit 18a advances the procedure to step S64. When the value of the objective variable exceeds a predetermined threshold value (Yes in S63), the emotion estimation unit 18a advances the procedure to step S65.

(S64) The emotion estimation unit 18a acquires a determination result that the emotional state in this example is improved, and finishes the determination of the state.

(S65) The emotion estimation unit 18a acquires a determination result that the emotional state in this example is exacerbated, and finishes the determination of the state.

Note that the above example of the procedure for determining the state is simplified for the sake of simplicity. In practice, for example, a determination may be made for a plurality of items of health information. Further, for example, the determination result regarding the future time-series change of the symptom may be acquired by repeating the determination according to the future change of the weather shown in the weather forecast as the meteorological information.

Next, the operation of the behavior prediction unit 18b will be described. FIG. 10 is a flowchart showing an example of an action prediction procedure in the operation procedure of the information providing device 10 illustrated in FIG.

(S40) The information providing device 10 determines the behavior corresponding to the emotion index representing the user's emotion estimated by the emotion estimation unit 18a using the behavior prediction model among the state models.

(S71) The behavior prediction unit 18b acquires a multiple regression equation as a behavior prediction model.

(S72) The behavior prediction unit 18b substitutes the values of each item of the individual information acquired in step S10 and the environmental information acquired in step S30 into the multiple regression equation acquired in step S71 as the values of the explanatory variables, and performs an operation. To do.

(S73) It is determined whether or not the value obtained as a result of the calculation in step S72 exceeds a predetermined threshold value. When the value obtained as a result of the calculation in step S72 is equal to or less than a predetermined threshold value (No in S73), the action prediction unit 18b advances the procedure to step S74. When the value of the objective variable exceeds a predetermined threshold value (Yes in S73), the behavior prediction unit 18b advances the procedure to step S75.

(S74) The behavior prediction unit 18b acquires the determination result that the behavior in this example is improved, and finishes the determination of the state.

(S75) The behavior prediction unit 18b acquires the determination result that the behavior in this example deteriorates and finishes the determination of the state.

Here, "behavior improves or behavior worsens" may mean that a predetermined index for each behavior improves or worsens. For example, the behavior prediction unit 18b sets a state in which the frequency of purchase is high as a state in which the index representing the behavior of purchasing is high, and a state in which the frequency of purchase is low as an index representing the behavior of purchasing. The fact that the behavior of purchasing is improved by setting the value to a low level indicates a state in which the frequency of purchasing is high.

Next, the operation of the health determination unit 18c will be described. FIG. 11 is a flowchart showing an example of a procedure for determining a health condition in the procedure for operating the information providing device 10 illustrated in FIG.

(S40) The information providing device 10 determines the health state corresponding to the environmental information by using the health effect model among the state models.

(S81) The health determination unit 18c acquires a multiple regression equation as a health effect model.

(S82) The health determination unit 18c substitutes the values of each item of the individual information acquired in step S10 and the environmental information acquired in step S30 into the multiple regression equation acquired in step S81 as the values of the explanatory variables, and performs an operation. To do.

(S83) It is determined whether or not the value of the objective variable obtained as a result of the calculation in step S82 exceeds a predetermined threshold value. When the value of the objective variable is equal to or less than a predetermined threshold value (No in S83), the health determination unit 18c advances the procedure to step S84. When the value of the objective variable exceeds a predetermined threshold value (Yes in S83), the health determination unit 18c advances the procedure to step S85.

(S84) The health judgment unit 18c obtains a judgment result that the symptom in this example is improved or ameliorated, and finishes the judgment of the state.

(S85) The health judgment unit 18c acquires the judgment result that the symptom in this example is exacerbated and finishes the judgment of the state.

(Relationship between environmental factors and health status)
Here, the relationship between environmental factors and the health condition, which is the basis of the effectiveness of the health information provided by the information providing device 10 configured as described above, will be described with reference to actual examples. FIG. 12 is a table showing the results of multiple regression analysis performed by the present inventors with various environmental factors as explanatory variables and the number of male suicides as objective variables.

The regression coefficient indicates the magnitude of the effect on the number of suicides as the predetermined value of each explanatory variable (depending on the variable) increases. A negative value indicates that the number of suicides decreases as the predetermined value of the variable increases. The P value is the significance probability of the regression coefficient of each environmental factor, and the value is underlined if it is less than 5%, that is, if it can be judged that a statistically significant relevance is observed.

According to this table, among the environmental factors, atmospheric pressure, temperature, F10.7 index, galactic cosmic dose, Hedonometer, and cloud cover are statistically significantly related to the number of male suicides. Although the unemployment rate is not an environmental factor of meteorological or space weather as mentioned above, it was added to the explanatory variables in this analysis based on the speculation that there is a statistically significant association with suicide. As described above, even if the information input to the information providing device according to the present invention is other than environmental factors related to weather or space weather, the accuracy of determination of the biological condition is improved, or the type of health condition that can be determined. Those that can contribute to the expansion of the above are not excluded, and may be included in those that are treated as environmental factors.

Based on the results of such analysis, the information providing device 10 can determine, for example, atmospheric pressure, temperature, F10.7 index, galaxy cosmic dose, Hedonometer, cloud cover, and the determination of health information that a man may commit suicide. A multiple regression equation that includes the regression coefficient of the unemployment rate can be used as a health effect model.

Here is another example. FIG. 13 is a table showing the results of multiple regression analysis performed by the present inventors with various environmental factors as explanatory variables and the number of deaths due to male traffic accidents as objective variables. The reading of the value is similar to the suicide example above.

According to this table, among the environmental factors, galactic cosmic dose and Hedomometer are statistically significantly related to the number of male traffic accidents.

Based on the results of such analysis, the information providing device 10 uses a multiple regression equation including, for example, the galactic cosmic dose and the regression coefficient of Hedomometer to determine the health information that a male traffic accident may occur. It can be used as a model.

(Modification example and supplement)
Although the information providing device according to one or more aspects has been described above based on the embodiment, the present invention is not limited to the above embodiment. As long as the gist of the present invention is not deviated, various modifications that can be considered by those skilled in the art are applied to the present embodiment, and a form constructed by combining components in different embodiments is also within the scope of one or more embodiments. May be included within. Hereinafter, such a modified example will be illustrated. In addition, supplementary information on matters not mentioned in the embodiment is also given below.

(1) In the above embodiment, the sensor 21 is described as a component of the measuring device 20 that is separate from the information providing device 10, but the sensor 21 may be a component of the information providing device 10. .. For example, when the information providing device 10 is realized by an activity meter, the sensor included in the activity meter corresponds to the sensor 21 described above.

(2) The input route of the individual information and the environmental information to the information providing device 10 in the above embodiment is an example and is not limited to this. For example, the environment information may be input using the user interface 12 instead of via the communication network. Further, the information providing device 10 may acquire environmental information based on the measurement result using the sensor connected to the information providing device 10.

(3) Not all of the information included in the description of the above embodiment is always essential for the information providing device 10, and the information is not limited to the ones mentioned in the description of the above embodiment. The individual information used to determine the desired health condition item is selected according to whether or not it is relevant to the item, or whether it can be used appropriately in light of costs, regulations, etc. Is possible as appropriate.

Further, for example, the health condition may be determined using either one of the biological information or the genetic information of the individual information and the environmental information, or the environment included in the environmental information without using the individual information. The health condition may be determined only from the index indicating the factor.

Further, another index value derived by using the one given in the description of the above embodiment may be input to the information providing device 10 as individual information. Further, the information providing device 10 may derive such other index values. For example, heart rate variability obtained by analyzing continuous heartbeats from an electrocardiogram waveform.

(4) Not all of the information included in the description of the embodiment is always essential for the information providing device 10, and the information is not limited to the information included in the description of the embodiment. .. The weather information, space weather information, or Schumann resonance information used to determine the desired biological condition item can be used appropriately in light of whether or not it is related to the item, or in light of costs, regulations, etc. It is possible to select as appropriate depending on whether or not it is. Further, another index value derived by using the one described in the description of the above embodiment may be input to the information providing device 10 as environmental information. Further, the information providing device 10 may derive such other index values. As an example other than those mentioned in the description of the above-described embodiment, for example, an atmospheric substance may be used as an environmental factor. Examples of atmospheric substances referred to here are sulfur dioxide (SO ₂ ), carbon monoxide (CO), ozone (O ₃ ), particulate matter (so-called PM (particulate matter) 10, PM2.5, etc.), nitrogen. Oxides (NOx), nitrogen monoxide (NO), nitrogen dioxide (NO ₂ ), total hydrocarbons (THC: Total Hydrocarbons), non-methane hydrocarbons (NMHC: Non-Methane Hydrocarbons), methane (CH ₄ ). Be done. FIG. 15 is a table showing the results of a linear regression analysis of the concentrations of atmospheric substances whose time and place correspond to each other and the number of female suicide attempts (monthly average) based on the data obtained by the present inventors. is there. The results show a stronger and significant association between atmospheric carbon monoxide levels and the occurrence of female suicide attempts than other atmospheric substances. This association suggests the availability of carbon monoxide in the atmosphere as a measure of the likelihood of suicide or attempted suicide. The space weather information may include the F10.7 index, solar activity, geomagnetic activity, proton phenomenon, radiation belt electrons, ionospheric storm, Delinger phenomenon, sporadic E layer, and the like. Environmental factors include dioxins, DDT, DDE, pesticides, polychlorinated biphenyls (PCBs), diethylstilbestrol (DES), bisphenol A, nonylphenol, tin, lead, cadmium, benzpyrene, phytoestrogens, furans. , Mercury and the like may be included.

(5) In the description of the above embodiment, the information providing device 10 acquires the time information and transmits it to the server 50, but the present invention is not limited to this. For example, in the information providing system 1, when the time range of the environmental information provided from the server 50 is fixed (example: only the latest information), the time information is not essential.

(6) In the example shown in Fig. 3, the environmental information is approximately continuous observation values, but is not limited to this. For example, it may be information at a level that determines the observed value in light of a predetermined standard. As a specific example, it may be discrete value information indicating a level as shown in Non-Patent Document 18.

(7) The biological condition data given in the description of the above embodiment is a partial example, and statistical data showing the relationship with available environmental factors for other biological health conditions or life-threatening events. Can also be used. For example, the number of deaths due to suicide or intentional self-injury, the number of deaths due to traffic accidents, the number of deaths due to accidental injury or other external causes, the number of deaths due to injury or death due to harm, the number of deaths due to various diseases, as shown in the above data. Data can be used. FIG. 14 is an example of such statistical data, which is statistically obtained by the present inventors using the actual data of environmental factors and the actual data of causes of death corresponding to the time and place shown. It is a table showing the presence or absence of a significant association with. The left column for each cause of death shows the results for men and the right column for women. A plus sign in the table indicates a positive and significant association, and a minus sign indicates a negative and significant association. In addition, N. S. Indicates that there was no significant association. As described above, the causes of death that are significantly related to some environmental factors include not only accidents / incidents but also various diseases such as infectious diseases, metabolic disorders, and cardiovascular diseases.

As an example of using such statistical data, by using a multiple regression equation obtained by using each cause of death, for example, the number of deaths due to suicide as an objective variable and each item of environmental information as an explanatory variable, in the near future based on the environmental information. The number of possible suicides can be obtained as a result of determining the biological condition. When the number of occurrences indicated by this determination result is large, for example, health information that calls attention to the family members of people who are prone to suicide or related medical personnel may be provided. In addition, when the number of deaths due to a traffic accident is the objective variable, when the number indicated by the judgment result is large, it can be used by people who drive cars in daily life, people involved in various transportation systems, people involved in traffic safety such as police, etc. Health information that calls attention may be provided. When the number of deaths due to various diseases is used as the objective variable, health information may be provided to call attention to the patient or the persons concerned in the reserve group.

In addition, although only the number of deaths is mentioned above as another example, statistical data showing the relationship with environmental factors of onset, cure, exacerbation, improvement or remission of various other diseases is also used as biological condition data. Can generate a health effect model.

(8) In the description of the above embodiment, biological information and genetic information are mentioned as information included in the individual information, but the present invention is not limited to this. For example, personal epigenetic information may be used.

(9) As briefly mentioned in the explanation of the above embodiment, what is shown in the environmental information reaches the place where the observation place and the place where the state affects the living body which is the object of the determination of the biological state. There may be a time lag before doing so. For example, it will take several minutes to several days for the effects of changes in solar activity to reach the earth from the time measured by artificial satellites. For such data, the data used to generate the state model and determine the biological state is the corresponding data after taking into account the time difference from the measurement performed for the acquisition of biological information. Be done.

(10) In the above embodiment, a state model is used as a tool for determining the biological state of a living body that is affected by the state of environmental factors indicated by environmental information on the mind and body of the living body. On the other hand, the effects of environmental information on the mind and body of human beings, which are living organisms, are said to affect economic activities as a manifestation of such affected human behavior, and the relationship between the business cycle and the cycle of sunspots is linked. There is also a theory to argue (see Non-Patent Document 19). Therefore, by using the state of environmental factors indicated by the environmental information and the economic impact model instead of the state model, the current or future economic trend may be determined and the economic information related to this economic trend may be acquired. The economic impact model prepares data showing the state of environmental factors measured in the past and data of economic trends observed at the place and time corresponding to the place and time when the measurement of the state of the environmental factor was performed. Then, like the above state model, it is acquired as a statistical model such as a multiple regression equation or an inference model for machine learning. In addition, the economic trend data here includes, for example, figures related to market conditions such as stock prices, exchange rates, and prices, figures related to employment (unemployment rate), income, bankruptcy, etc., and business performance in specific fields, regions, or scales. , The number of sales or sales of a specific product. Economic information related to economic trends determined using such an economic impact model can be used, for example, to determine a policy or business policy, or to determine the execution timing of sales promotion measures such as the introduction of advertisements. This can bring about effects such as improvement or suppression of economic deterioration, improvement of cost-effectiveness of profit or investment, or avoidance of loss.

Further, in the above embodiment, the living body for determining the biological state in which the state of the environmental factor indicated by the environmental information has an influence on the mind and body of the living body is not limited to humans. For example, the living body for determining the biological state in which the state of the environmental factor indicated by the environmental information affects the mind and body of the living body may be a stink bug. FIG. 16 is a table showing the relationship between the number of stink bugs and environmental factors. As shown in FIG. 16, the number of stink bugs has a statistically significant correlation with galactic cosmic dose and Kp_10. Specifically, the number of stink bugs has a correlation coefficient of 0.64714 with the galactic cosmic dose and a correlation coefficient of -0.66155 with Kp_10. Here, Kp_10 is a K-index, which is an index representing geomagnetic disturbance. The information providing device, the information providing method, and the program according to the embodiment may reflect this correlation in the state model. Then, the information providing device, the information providing method, and the program according to the embodiment predict the number of stink bugs using a state model that reflects the correlation between the number of stink bugs and environmental factors, and obtain the predicted result. It may be output. Thereby, the information providing device, the information providing method and the program according to the embodiment may be able to reduce the amount of pesticide sprayed at the agricultural production site. Although the number of stink bugs is predicted here, the living body to be predicted is not limited to stink bugs. The living body to be predicted using the correlation with environmental factors may be other pests. Here, the environmental factors used for prediction include, for example, galaxy cosmic dose and Kp_10, F10.7 index, solar activity, geomagnetic activity, proton phenomenon, radiation belt electron, ionospheric storm, Delinger phenomenon, sporadic E. It may include layers, pressure, precipitation, temperature, humidity, wind speed, sunshine duration, cloud cover, age and the like. In addition, the information providing device, the information providing method, and the program according to the embodiment may output the amount of pesticide sprayed estimated from the number of pests generated, not the predicted number of pests generated. In addition, the state model of the embodiment predicts the number of pests generated from environmental factors including space weather such as galaxy cosmic dose or K index, and estimates the desired harvest time of agricultural products based on the predicted results. May be output.

(11) In the present invention described so far, the relationship between the state of environmental factors and changes in biological health or economic trends is found from past achievements, and the relationship is used to utilize the current or future biological health. Alternatively, although economic trends have been determined, the application of the present invention can be extended to other subjects as long as it can be found to be related to environmental factors. For example, it is included in linguistic expressions that can express the feelings of the general public at that time, such as lyrics of popular songs, blogs, and posts on SNS (Social Networking Service).

A method for measuring happiness (hedonometer) from the frequency and weighting of vocabulary contained in Twitter has been proposed (see Non-Patent Document 20). The present invention can be applied if the relationship between the degree of happiness and the change in environmental factors is found from past achievements. The Hedonometer value is one of the environmental factors that predicts "intentional self-harm and suicide" in men. FIG. 17 is a table showing the results of multiple regression analysis obtained by the present inventors using the actual data of the hedonometer corresponding to the indicated time and place and the actual data of environmental factors. These are data on phenomena that are completely different from each other, and it is usually expected that there is no statistically significant association between the two. However, among the environmental factors, galactic cosmic dose, F10.7 index, Schumann resonance intensity, and each month were statistically significantly related. Such associations suggest the availability of galaxy cosmic dose, F10.7 index, Schumann resonance intensity, and monthly hedonometer. Furthermore, there was a consistent and statistically significant correlation between each month and happiness, suggesting that there was some periodicity. In addition, the result of the current or future happiness determination obtained thereby may be used in combination with the result of the above-mentioned determination of health condition or determination of economic trend. This makes it possible to obtain more appropriate health information or economic trend information. Also, environmental factors may include the number of lightning strikes instead of the Schumann resonance.

FIG. 18 is a schematic diagram showing the process of calculating happiness from environmental factors using relevance. For example, the emotion estimation unit 18a calculates the happiness level by using the results of the multiple regression analysis of the environmental factors shown in FIG. 14 and the environmental factors and the happiness level and the correlation coefficient. Specifically, the emotion estimation unit 18a calculates the happiness level by using the result of the multiple regression analysis with the K index, the Schumann resonance intensity, and the happiness level of F10.7 Index and the correlation coefficient. Since the K-index and the Schumann resonance intensity correlate with the Bulk Speed and the galactic cosmic dose, respectively, the happiness may be obtained indirectly from the Bulk Speed and the galactic cosmic dose. Here, all of the environmental factors listed here do not have to be used in the calculation of happiness, and the emotion estimation unit 18a calculates the K index from Bulk Speed, and the route for calculating happiness, from the galactic cosmic dose. The happiness may be calculated using either the route of calculating the Schumann resonance and calculating the happiness, or the route of calculating the happiness from F10.7 Index.

The emotion estimation unit 18a may directly calculate the happiness level from the galactic cosmic dose. In addition, the emotion estimation unit 18a may use the correlation coefficient between Bulk Speed and the galactic cosmic dose, or the correlation coefficient between the galactic cosmic dose and F10.7 Index, to calculate the degree of happiness.

FIG. 19 is a schematic diagram showing the process of predicting the user's behavior from the happiness calculated by using the result of multiple regression analysis and the correlation from environmental factors. Since the process of calculating happiness from environmental factors is the same as that described in FIG. 14, the description will be omitted. The behavior prediction unit 18b predicts the user's behavior based on the result of multiple regression analysis with happiness and the correlation coefficient. The predicted behavioral result may be expressed as an index such as the number of deaths due to "intentional self-harm and suicide" of a man. In addition, even if the behavior prediction unit 18b predicts the user's behavior directly from environmental factors such as Bulk Speed, Galactic Space Dose, and F10.7 Index, which are statistically significantly related to the user's behavior. Good.

Here, the behavior of the user to be predicted is not determined to be, for example, the number of deaths due to intentional self-injury and suicide, the number of deaths due to a traffic accident, the number of deaths due to accidental damage or other external causes, accidental or intentional. Includes actions combined by indicators such as the number of deaths from incidents, the number of deaths from injury and death due to perpetration, and the number of deaths from each disease. Further, the behavior of the user to be predicted may include purchasing behavior and the like, and may not be limited to one user such as price movement of the stock market.

Note that the prediction process shown in FIGS. 18 and 19 is an example, and the routes and numerical values shown in FIGS. 18 and 19 do not necessarily have to be used as they are. In addition, the value of Hedonometer is considered to be related to the psychological state of the group, and the value of Hedomometer can be the basis for estimating the psychological state of the group, which is one of the environmental factors.

FIG. 20 is a table showing the causal relationship between suicide and environmental factors in consideration of time. FIG. 20 shows the results of an analysis using a case crossover design in which a control group can be placed and a causal relationship can be asserted in a longitudinal study considering time. Violent and non-violent suicides in women are statistically significantly associated with proton flux, according to an analysis performed by type and gender of suicide attempts using Taiwanese health insurance data. Be done. This suggests a causal relationship in which proton flux, which is one of the space weather conditions, affects women's suicide attempts. In addition, a statistically significant association between female nonviolent suicide and temperature demonstrated the effectiveness of the combination of meteorological and space weather. Therefore, the estimation and prediction of the state by the information providing device or the like according to the present embodiment can be empirically supported.

In addition, there are many reports that changes in weather or space weather appeared around the epicenter before the occurrence of a large-scale earthquake. Among them, the ionosphere related to space weather and the electromagnetic phenomenon in the atmosphere have been shown to be statistically related to earthquakes (see, for example, Non-Patent Documents 21 and 22). Therefore, the present invention can be applied if the relationship between the earthquake and the change of environmental factors is found from the past results. Furthermore, it has been reported that an association was found between the earthquake and mental illness and behavior before the occurrence of the earthquake. Therefore, the results of the current or future earthquake occurrence determination obtained in this way can be used in combination with the above-mentioned results of the determination of health condition, happiness, and economic trends to provide more appropriate health information and economic trend information. , It becomes possible to acquire earthquake occurrence prediction information.

Further, as a further example of information that can be used for determining the health condition of a living body, information obtained from environmental DNA and environmental RNA (hereinafter, also referred to as an environmental gene by referring to at least one of them) can be mentioned. From the environmental genes collected in the environment surrounding the living body, for example, the number of individuals of the living body, the geographical distribution, epigenetic information as a group, and the like are acquired. Information obtained from the environmental genes surrounding the living body to be determined (environment in the present application) using a health effect model generated based on the data of the environmental genes showing such information and the data of the health condition of the living body. By deriving the health state corresponding to (example of genetic information), the health state of the living body of the target may be determined. Examples of epigenetic information include those relating to the occurrence of biological diseases and the tendency of temperamental changes such as violence. Regarding the outbreak of illness, for example, there is a possibility that it can be used for preparation plans for vaccines and silver bullets, and for human illnesses, the medical insurance system. In addition, although it is a rather extreme example, if a person's violent rise is caught, it may be used for planning and implementing deterrent measures for violent crimes. It should be noted that such information may be used not only for the health of living organisms but also for the determination of economic trends as described above. For example, there may be a case where changes that are highly related to the manifestation of purchasing behavior are acquired as epigenetic information.

In addition, information on the psychological state of a group of living organisms, such as the above-mentioned hedonometer, is also included in the example of information that can be used for determining the state of living organisms. Information on the psychological state of the group including the living body to be determined (in the present application) using a state model generated based on the data of the psychological state of the living body and the data of the health state of the living body. By deriving the health state corresponding to the group psychological state information), the health state of the living body of the target may be determined.

(12) The above-mentioned state model is not limited to a single model. For example, the state model based on the data showing the state of the environmental factor and the data showing the state of the living body and the state model based on the data of the environmental gene and the data showing the state of the living body may be individual state models. The user may be presented with individually based information on the results of determinations made using the respective state models, or may be presented with information further derived based on both results. In addition, the information providing device, the information providing method, and the program in the embodiment may obtain feedback from the user regarding the user's state at the target date and time, which is the date and time predicted by the state model. Specifically, the state model can be sent from the user to emotions (including emotions, depression, anxiety, negligence, inactive pleasure, concentration, hostility, active pleasure, affinity or startle, etc.) at the target date and time. Get information about the aggravation or onset of the disease. The information providing device, the information providing method, and the program in the embodiment may acquire information on the above state from the user through a dedicated application or by analyzing the user's SNS. The user's SNS may be analyzed by statistical analysis, machine learning such as deep learning, or the like. Then, the information providing device, the information providing method, and the program in the embodiment may optimize the state model by learning based on the acquired feedback from the user. The optimization may be performed sequentially, or each time feedback is obtained. Thereby, the information providing device, the information providing method, and the program in the embodiment can accurately predict the state of the user at the individual level.

In addition, the information providing device according to the embodiment of the present disclosure uses a state model to identify the periodicity of an individual (or group) emotional index, and then determines the psychological state or behavior of the individual (or group). You may predict. For example, the information providing device in the embodiments of the present disclosure identifies the periodicity of an individual (or group) based on historical data or predicted psychological states or behaviors. The information providing device in the embodiment of the present disclosure then predicts the psychological state or behavior of an individual (or group) based on the identified periodicity.

(13) The components of the above-mentioned information presenting device include, for example, a plurality of computers each having a processor and a memory and capable of communicating with each other, operating in cooperation with each other, and providing the same functions as each of the above-mentioned information processing devices. It may be realized as a component of the information processing system. In this case, these components are such that, for example, some or all of the processors provided by these computers execute one or more programs stored in some or all of the memory provided by these computers. It is realized by.

(14) One aspect of the present invention may be not only the above-mentioned information presenting device or information presenting system, but also an information presenting method in which processing by a function of a characteristic component included in the information presenting device is a step. .. This information presentation method is, for example, the information presentation method described above using the flowchart of FIG. Further, one aspect of the present invention may be a computer program that causes a processor included in the information processing apparatus to execute each characteristic step included in such an information presentation method. Further, one aspect of the present invention may be a computer-readable non-temporary recording medium on which such a computer program is recorded.

(15) In the description of the above embodiment, the control unit 18 and the storage unit 16 have an example realized as a functional component of the information providing device 10 formed or worn by the user who is the target of determining the health state. One or both may be provided in an external device capable of communicating with the information providing device 10. For example, it may be realized in a server that provides a cloud service that can communicate with the information providing device 10 via a communication network. For example, suppose that a server that provides a cloud service has a control unit 18 and a storage unit 16. In this case, the biological information based on the measurement result using the sensor 21 is transmitted to the server at any time or by the operation of the user who is the target of determining the health state, and is stored in the storage unit 16 as individual information. Then, in the server, the control unit 18 executes the determination of the health state using the individual information including the biological information and other necessary information, and further acquires the health information corresponding to the determination result. This health information may be transmitted and provided not only to the user but also to a user in a broad sense, that is, an information processing device which is an information providing device 10 such as the user's family or an attending physician. Alternatively, these users may be notified of the location of the health information data and may access the location through the information providing device 10 to receive the health information. That is, the user receives the notification of the URL (Uniform Resource Locator) of the health information on the Internet, accesses the URL using the dedicated application or general-purpose web browser installed in the information providing device 10, and performs the health information. May be provided. This is also one of the realization forms of the information providing system considered by the present inventors.

(16) The form that the information presenting device or the like according to the present invention can take in the market is not limited to the means for providing health information as illustrated in FIGS. 7 and 8. For example, it may take a more casual form, such as a means of providing a fortune-telling service. However, even if it claims to be fortune-telling, it can be more credible than the conventional one because it uses causal relationships and correlations backed by statistics. As a specific example, as a means of providing a fortune-telling service that presents advice on the mood and physical condition of oneself or those around him, or personal relationships based on these, belongings (lucky items) or actions that may improve unfavorable situations. Deployment is possible. On the other hand, it can also be used as a medical device after repeated clinical trials and obtaining regulatory approval. For example, it can be considered to be developed as a diagnostic tool for diseases based on the relationship between the wave of symptoms seen in a patient and environmental factors, or as a device for controlling the onset of the disease. In addition, in medical institutions or research institutes, in order to improve the efficiency of subject registration in clinical trials or clinical trials, this tool is used as a tool to obtain information on the time and place of occurrence of patients with various diseases estimated based on prediction of environmental factors. The information presentation device according to the invention can be used.

The technique according to the present invention can be used as a technique for providing information that enables coping with the influence of environmental factors such as weather on the current or future mental and physical condition of a person subject to health management.

1 Information providing system 10 Information providing device 12 User interface 14 Communication unit 16 Storage unit 17 Environmental information acquisition unit 18 Control unit 18a Emotion estimation unit 18b Behavior prediction unit 18c Health judgment unit 20 Measuring equipment 21 Sensor 50 Server

Claims

An environmental information acquisition unit that acquires environmental information indicating the state of environmental factors that can affect the biological state of the target living body at a given date and time and place.
A state based on data indicating the state of the environmental factor measured in the past and data indicating the biological state of the living body measured at the place and time corresponding to the place and time when the measurement of the state of the environmental factor was executed. A storage unit that holds the model and
Based on the environmental information, the state model is used to identify the biological state of the target living body corresponding to the environmental information, and the target living body at the given date and time based on the specified biological state. It is equipped with a control unit that acquires and outputs information related to the biological state.
Information providing device.
The control unit
An emotion index that is an index representing the emotion of the target organism based on an emotion estimation model using environmental factors estimated based on the environmental information, and it is desired to estimate the emotion of the target organism. An emotion estimation unit that identifies emotion indicators at the date and time, and
The information providing device according to claim 1, further comprising a behavior prediction unit that predicts and outputs the behavior of the target living body at the target date and time based on the emotion index specified by the emotion estimation unit.
The control unit
A health condition corresponding to the environmental information is determined using a health effect model using environmental factors generated based on the environmental information, and the target living body at the given date and time based on the determined health condition. It is equipped with a health judgment unit that acquires and outputs health information related to the health condition.
The information providing device according to claim 1 or 2.
The environmental factors are
Meteorology, which refers to at least one of pressure, precipitation, cloud cover, temperature, humidity, wind speed, sunshine time, number of thunder, snowfall, and season, and solar activity, geomagnetic activity, ionospheric activity, cosmic dose, galactic cosmic dose, F10. Includes 7 indexes, black spots, proton phenomenon, bulk speed, proton flux, radiation belt electrons, ionosphere storms, Delinger phenomenon, Sporadic E layer, and space weather pointing to at least one of the ages of the moon.
The biological state is a biological state relating to injury or illness or death caused by injury or illness.
Information related to the biological condition includes symptoms, emotions, irritability, mood, happiness, concentration, attention, impulsivity, activity, maneuvering behavior, depression behavior, criminal behavior, traffic accidents, resting behavior, and commuting.・ Indicates at least one of school behavior, hospital behavior, purchasing behavior, eating out behavior, annoying behavior, drinking behavior, sleeping, and going out behavior.
The information providing device according to any one of claims 1 to 3.
The information providing device according to any one of claims 1 to 4, wherein the environmental factor includes group psychological state information indicating a group psychological state.
The information providing device according to any one of claims 1 to 5, wherein the environmental factor includes the intensity of Schumann resonance.
The environmental factors include atmospheric pressure, precipitation, cloud cover, temperature, humidity, wind speed, sunshine duration, lightning count, snowfall, and one of the seasons, as well as solar activity, geomagnetic activity, cosmic dose, galactic cosmic dose, and F10.7. Space weather, which indicates one of the index, number of black dots, proton phenomenon, bulk speed, proton flux, and age, group psychological state information, SO2, CO, O3, NOx, NO, NO2, CH4, and PM10. Including, with at least one of
The information providing device according to any one of claims 1 to 6.
The environmental factors include the meteorology, which refers to at least one of the pressure, the precipitation, the cloud, the temperature, the humidity, the wind speed, the sunshine time, the number of thunders, the snowfall, and the season, and the solar activity. , The geomagnetic activity, the ionospheric activity, the cosmic dose, the galaxy cosmic dose, the F10.7 index, the number of black spots, the proton phenomenon, the radiation belt electrons, the ionospheric storm, the Delinger phenomenon, the sporadic. Includes layer E, and cumulative exposure to the space weather, which refers to at least one of the ages.
The information providing device according to any one of claims 1 to 7.
The health effect model statistically establishes a relationship between the state of the environmental factor and the health state of the living body based on the data indicating the state of the environmental factor measured in the past and the data of the health state of the living body. The information providing device according to any one of claims 1 to 8, which is a model obtained by analyzing the data.
The health effect model is an inference model obtained by machine learning using the data indicating the state of environmental factors measured in the past as learning data and the data of the health state of the living body as teacher data. The information providing device according to any one of 1 to 9.
The health effect model is further based on data showing the psychological state of the living body group and data on the health state of the living body.
The health determination unit further acquires group psychological state information indicating the psychological state of the group including the target living body, and obtains group psychological state information.
The information providing device according to any one of claims 1 to 10, wherein the health state determined by the health determination unit using the health effect model further corresponds to the psychological state indicated by the group psychological state information.
The health effect model is further based on data on environmental genes collected in the environment surrounding the living body and data on the health condition of the living body.
The health determination unit further acquires environmental gene information, which is information obtained from environmental genes collected in the environment surrounding the target living body, and obtains environmental gene information.
The information providing device according to any one of claims 1 to 11, wherein the health state determined by the health determination unit using the health effect model further corresponds to the environmental gene information indicated by the environmental gene information.
The health effect model is further based on the data of the individual information of the living body.
The health determination unit further acquires individual information of the target organism, and obtains individual information.
The information providing device according to any one of claims 1 to 12, wherein the health state determined by the health determination unit using the health effect model further corresponds to individual information of the target living body.
The health effect model predicts the health state of the target living body at a predetermined date and time based on the data indicating the state of environmental factors measured in the past and the data of the health state of the living body.
The information providing device according to any one of claims 1 to 13.
The health effect model determines the deterioration of the health condition or the onset of a disease of the target organism at a predetermined date and time based on the data indicating the state of environmental factors measured in the past and the data of the health condition of the living body. Predict,
The information providing device according to claim 14.
The emotion estimation model statistically determines the relationship between the state of the environmental factor and the emotion index of the living body based on the data indicating the state of the environmental factor measured in the past and the data of the emotion index of the living body. It is a model obtained by analyzing the
The information providing device according to any one of claims 1 to 15.
The emotion estimation model is an inference model obtained by machine learning using data indicating the state of environmental factors measured in the past as training data and using the emotion data of the living body as teacher data.
The information providing device according to any one of claims 1 to 16.
The machine learning is deep learning,
The information providing device according to claim 17.
The emotion estimation unit identifies the emotion index representing the emotion of the target living body at the target date and time based on the environmental information for a predetermined time before the target date and time.
The information providing device according to any one of claims 1 to 18.
The emotion estimation unit predicts the emotion index representing the emotion of the target living body at a predetermined date and time based on the data indicating the state of the environmental factor measured in the past and the data of the emotion index of the living body.
The information providing device according to any one of claims 1 to 19.
The behavior prediction unit was obtained by statistically analyzing the relationship between the data of the emotion index of the living body and the data indicating the behavior performed by the living body based on the data of the emotion index of the target living body. Using a model, predict the behavior of the target organism at the target date and time.
The information providing device according to any one of claims 1 to 20.
The emotion estimation unit identifies the periodicity of change in the emotion index of one or more of the target organisms based on the data indicating the state of the environmental factors measured in the past and the data of the emotion index of the living body. , Identifying or predicting one or more emotional indicators of the subject body based on the periodicity.
The information providing device according to any one of claims 1 to 21.
The behavior prediction unit identifies the periodicity of the behavioral change of the target organism based on the data of the emotion index of the organism, and based on the periodicity, the behavior prediction unit identifies the periodicity of the behavior of the target organism, and based on the periodicity, the behavior prediction unit one or more of the target organisms. Identify or predict the behavior of
The information providing device according to any one of claims 1 to 22.
The information providing device according to claim 13, wherein the individual information includes at least one of biological information, genetic information, epigenetic information, and birth time.
In addition, it has a first sensor
The information providing device according to claim 13, wherein the information acquisition unit acquires the biological information acquired based on the result of measurement using the first sensor as the individual information.
Also equipped with a second sensor
The information providing device according to any one of claims 1 to 25, wherein the environmental information acquisition unit acquires the environmental information based on the result of measurement using the second sensor.
In addition, it has a communication unit
The information providing device according to any one of claims 1 to 26, wherein the environmental information acquisition unit acquires the environmental information based on data received from the outside by the communication unit.
The storage unit is composed of data indicating the state of the environmental factor measured in the past and data of economic trends observed at the place and time corresponding to the place and time when the measurement of the state of the environmental factor was executed. Further retain the economic impact model based on
The information acquisition unit further determines the economic trend corresponding to the environmental information by using the economic impact model, and acquires economic information related to the current or future economic trend based on the determined economic trend. The information providing device according to any one of claims 1 to 27 to be output.
An environmental information acquisition step for acquiring environmental information indicating the state of environmental factors that may affect the biological state of the target living body at a given date and time and place.
A state based on data indicating the state of the environmental factor measured in the past and data indicating the biological state of the living body measured at the place and time corresponding to the place and time when the measurement of the state of the environmental factor was performed. The storage step that holds the model and
Based on the environmental information, the state model is used to identify the biological state of the target living body corresponding to the environmental information, and the target living body at the given date and time based on the specified biological state. Including control steps to acquire and output information related to the biological state,
Information provision method.
In an information processing device including a processor, the processor is executed by the processor.
Acquire environmental information indicating the state of environmental factors that can affect the health condition of the target organism at a given date and time and place.
Health based on data showing the state of the environmental factor measured in the past and data showing the health state of the living body measured at the place and time corresponding to the place and time when the measurement of the state of the environmental factor was performed. Using the impact model, the health condition corresponding to the environmental information is determined, and
Based on the determined health condition, the health information related to the health condition of the target living body at the given date and time is acquired.
Based on an emotion estimation model using environmental factors estimated based on the environmental information, an emotion index, which is an index representing the emotion of the target organism, is used at a target date and time when it is desired to estimate the emotion of the target organism. Let me identify
A program that outputs a result of predicting the behavior of the target living body at the target date and time based on the emotion index specified by the emotion estimation unit.