JP7313216B2 - Information processing system, information processing device, and program - Google Patents

Description

The present invention relates to an information processing system, an information processing device, and a program.

Patent Literature 1 discloses a configuration for determining dementia by discovering an operation different from the daily operation tendency based on the daily operation tendency of switch means from a terminal.
Patent Literature 2 discloses a process in which, when a bather performs hot water refilling operation, operation data including bath set temperature, operation date and time, and operation details are transmitted to an analysis server via an external network, and a server analysis unit of the analysis server analyzes the received new operation data to determine whether or not the operation is normal.
Patent Literature 3 discloses a process of comparing a schedule stored in a storage unit with a detection result by an action detection unit and determining whether or not a subject has acted according to the schedule.

JP 2014-18341 A JP 2019-15415 A JP 2016-221087 A

In order to grasp the state of cognitive function of the subject, for example, a questionnaire is used, and the state of cognitive function of the subject may be grasped based on the contents entered in this questionnaire. Here, the questionnaire is filled out by the person himself/herself, his/her spouse, etc., and there is a possibility that the judge's subjective judgment is likely to enter into the judgment, and the state of cognitive function cannot be accurately grasped.
An object of the present invention is to make it possible to more accurately ascertain the state of a subject's cognitive function compared to the case where the state of the subject's cognitive function is ascertained using only a questionnaire.

The information processing system applied to the present invention is a state of the registration status that is specific to the registration status that specifies the registration status that specifies the registration status that corresponds to each of the registration status in which the registration status is classified in advance and the registered status in which is in advance and the registration status classified into each of the categories. It is a information processing system that has a means to grasp the status of the target person in the state of the cognitive function of the target person, based on the category of the specified registration status.
Here, the state grasping means selects the state from among a plurality of pre-registered states of cognitive function based on the category to which the specified registered state belongs, and grasps the selected state as the subject state.
Further, it is possible to further include number grasping means for grasping the number of the specific registration states in the section to which the specific registration state that is the specified registration state belongs, for each section, and the state grasping means grasps the subject state based on the section to which the specific registration state that is the specified registration state belongs and the number that is grasped for each section.
Further, the state grasping means may grasp the subject state based on the category to which the specified registration state belongs and the specified registration state.
Further, the method may further include change information acquisition means for acquiring change information that is information about temporal changes in the cognitive function of the subject, and the state grasping means may grasp the state of the subject based on the category to which the specified registered state belongs and the change information.
Moreover, it can be characterized by further comprising degree grasping means for grasping the degree of the state of the subject grasped by the state grasping means based on the degree of the state of the subject.

Further, when the present invention is regarded as an information processing apparatus, the information processing apparatus to which the present invention is applied includes storage means for storing each of a plurality of categories into which registration states, which are states of a person and have been registered in advance, and the registration status classified into each of the categories in association with each other; registration state specifying means for specifying a registration state corresponding to a subject's state from among the plurality of registration states; An information processing apparatus comprising a state grasping means.
Further, when the present invention is viewed as a program, the program to which the present invention is applied is a program for causing a computer to realize a registration state identification function for identifying a registration state corresponding to a subject's state from among a plurality of registration states that are states about a person and that have been registered in advance, and a state comprehension function for grasping the subject's state, which is the state of the cognitive function of the subject, based on the category to which the specified registration state belongs.

ADVANTAGE OF THE INVENTION According to this invention, the state about a subject's cognitive function can be grasped|ascertained more correctly compared with the case where the state about a subject's cognitive function is grasped|ascertained only using a questionnaire.

1 is a diagram schematically showing an example of the overall configuration of an information processing system; FIG. It is a figure explaining an example of the hardware constitutions of a state grasping server. It is a figure which shows an example of the hardware constitutions of a user terminal. It is a figure explaining the example of functional composition of a state grasping server. It is a figure explaining the information which a memory|storage part memorize|stores. It is the figure which showed the table for state grasping|ascertainment. 4 is a flow chart showing the flow of processing performed by the status grasping server; FIG. 10 is a diagram showing a question about "progress of degree of forgetfulness"; FIG. 11 is a diagram showing another example of a state grasping table;

BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
FIG. 1 is a diagram schematically showing an example of the overall configuration of an information processing system 1 according to this embodiment.
The information processing system 1 of the present embodiment is composed of various terminals and the like connected to the cloud network 3 .

The information processing system 1 of the present embodiment includes, as examples of terminals connected to the cloud network 3, a user terminal 4 operated by a subject, and a state grasping server 5 for grasping the state of the subject's cognitive function.
Furthermore, in this embodiment, various devices are provided for grasping the behavior of the subject and acquiring the biometric data of the subject. This device is also connected to the cloud network 3 . Examples of this device include various sensors and a camera as an example of an image acquisition device.

Although one server is provided in this embodiment, a plurality of servers may be prepared according to the purpose of the process to be executed, or as in this embodiment, one server may share a plurality of purposes or functions.
Also, in the present embodiment, the user terminal 4 is assumed to be a smart phone that can be carried by the user who made the reservation. However, the portable user terminal 4 may be a so-called wearable terminal, a notebook computer, or a game terminal.

FIG. 2 is a diagram illustrating an example of the hardware configuration of the status grasping server 5. As shown in FIG.
The status grasping server 5 has a control unit 101 that controls the operation of the entire apparatus, a hard disk drive 102 that stores data and the like, and a network interface 103 that realizes communication via a LAN (=Local Area Network) cable or the like.

The control unit 101 has a CPU (=Central Processing Unit) 111, a ROM (=Read Only Memory) 112 storing basic software, BIOS (=Basic Input Output System), etc., and a RAM (=Random Access Memory) 113 used as a work area. The CPU 111 may be multi-core. Also, the ROM 112 may be a rewritable non-volatile semiconductor memory. The control unit 101 is a so-called computer.

The hard disk drive 102 is a device that reads and writes data in a non-volatile storage medium in which a disk-shaped substrate surface is coated with a magnetic material. However, the non-volatile storage medium may be semiconductor memory or magnetic tape.
In addition, the status grasping server 5 is also provided with input devices such as a keyboard and a mouse, and display devices such as a liquid crystal display, if necessary.
The control unit 101, hard disk drive 102, and network interface 103 are connected via a bus 104 and signal lines (not shown).

FIG. 3 is a diagram showing an example of the hardware configuration of the user terminal 4. As shown in FIG. The configuration shown in FIG. 3 assumes that the user terminal 4 is a smart phone.
The user terminal 4 has a control unit 201 that controls the overall operation of the device, a memory card 202 that stores various data, various communication interfaces 203 that comply with wireless communication standards, an input device 204 such as a touch sensor, a display device 205 such as a liquid crystal display or an organic EL (=Electro Luminescence) display, and a GPS (=Global Positioning System) sensor 206.

The control unit 201 has a CPU 211, a ROM 212 storing firmware, BIOS, etc., and a RAM 213 used as a work area. The CPU 211 may be multi-core. Also, the ROM 212 may be a rewritable non-volatile semiconductor memory.

The communication interface 203 is, for example, an interface used for connection with a mobile communication system or an interface used for connection with a wireless LAN.
The GPS sensor 206 is a sensor that receives radio waves from GPS satellites and measures the position of the user terminal 4 . The latitude, longitude and altitude information output from the GPS sensor 206 gives the current position of the user terminal 4 . Note that the GPS sensor 206 may correspond to an indoor positioning system.

FIG. 4 is a diagram illustrating an example of the functional configuration of the status grasping server 5. As shown in FIG.
The state comprehension server 5 includes a storage unit 51 , a registration state identification unit 52 , a state comprehension unit 53 , a number comprehension unit 54 , a change information acquisition unit 55 and a degree comprehension unit 56 .
In the present embodiment, a case has been described in which these functional units are provided in the status grasping server 5 as an example of the information processing device, but a plurality of information processing devices may be prepared and these functional units may be distributed among the plurality of information processing devices. In this case, an information processing system is configured by the plurality of information processing apparatuses, and these functional units are realized by this information processing system.

The storage unit 51 is implemented by, for example, the hard disk drive 102 (see FIG. 2).
Further, the registration state identification unit 52, the state grasping unit 53, the number grasping unit 54, the change information acquiring unit 55, and the degree grasping unit 56 are realized by executing programs by the control unit 101 (see FIG. 2).

The storage unit 51, which is an example of storage means, stores various types of information used for grasping the subject's cognitive function.
A registration state identification unit 52 as an example of a registration state identification unit identifies a registration state corresponding to a subject's state from among a plurality of registration states (described later) stored in the storage unit 51 .
The state grasping unit 53 as an example of state grasping means grasps the state of the subject's cognitive function.

A number grasping unit 54, which is an example of a number grasping unit, grasps the number of specific registration states in a section to which the specific registration state, which is the registration state identified by the registration state identifying unit 52, belongs, for each section.
The change information acquisition unit 55, which is an example of change information acquisition means, acquires change information, which is information about temporal changes in the subject's cognitive function.
The degree grasping unit 56 as an example of the degree grasping means grasps the degree of the condition of the subject grasped by the state grasping unit 53 based on the degree of the condition of the subject.

FIG. 5 is a diagram for explaining information stored in the storage unit 51. As shown in FIG.
The storage unit 51 of the present embodiment stores a classification comprehension table shown in FIG.
Each of the plurality of categories and the registered state classified into each of the categories are registered in this category grasping table in a state of being associated with each other.
In addition, in this classification grasping table, each of a plurality of classifications into which the registration status, which is the status of a person and which is registered in advance, is classified, and the registration status classified into each of the classifications are registered in a state in which they are associated with each other.

Here, three registration states are classified in the category 1, and the category 1 and the three registration states are registered in a state of being associated with each other in the category grasping table.
Here, in the present embodiment, the following three registration states are registered: (1) forgetting to turn off the lights more often, (2) more behaviors different from the schedule set in advance, and (3) more cooking with a small number of stoves used.
Here, these three registration states are states that are likely to occur in the subject when the subject's memory is slightly degraded.

Further, in this embodiment, three registration states are also classified in the category 2, and the category 2 and the three registration states are registered in a state of being associated with each other in the category comprehension table.
In this embodiment, the three registration states are registered as (4) increased shopping through online shopping, (5) increased use of map applications, and (6) calling a name different from the other party's name.
Here, these three registration states are states that are likely to occur to the subject when the subject's recording ability is further reduced.

In addition, five registration states are classified into category 3, and in the present embodiment, category 3 and these five registration states are registered in association with each other in the category comprehension table.
In this embodiment, the following five registered states are registered as the five registered states: (7) time required for cooking has increased, (8) shopping using electronic payment has increased, (9) frequency of use of IC pass for transportation has decreased, (10) frequency of use of equipment such as a vacuum cleaner has decreased, and (11) safety mechanism such as a mechanism for preventing temperature rise of a stove has been activated more frequently.
Here, these five registered states are states that are likely to occur to the subject when the subject's ability to perform is lowered.

In addition, five registration states are classified into category 4, and in the present embodiment, category 4 and these five registration states are registered in association with each other in the category comprehension table.
In this embodiment, (12) not going out, (13) unable to sleep at night, (14) more complaints to others, (15) more yelling and talking to oneself, and (16) hallucinations are registered as the five registered states.
Here, these five registered states are states that are likely to occur to the subject when the subject's mental state is unhealthy.

FIG. 6 is a diagram showing a status grasping table stored in the storage unit 51. As shown in FIG.
In the present embodiment, in addition to the category comprehension table, the storage unit 51 stores a state comprehension table used for comprehending the state of the subject's cognitive function.
In this state grasping table, the information on the classification described above and the state of the subject's cognitive function are registered in a state of being associated with each other.

Here, in this status grasping table, classification 1 and status A are registered in a state of being associated with each other.
In addition, categories 1 to 3 and state B are registered in association with each other.
Furthermore, the registration state (16) included in the divisions 1 to 3 and the division 4 and the state C are registered in a state of being associated with each other.
Further, the registration state (15) included in the categories 1 to 3 and 4 and the state D are registered in a state of being associated with each other.

Here, as state A, for example, a state in which mild cognitive function decline is occurring can be given as an example. In addition, as an example of state B, a state in which Alzheimer's-type cognitive function decline is occurring can be given.
In addition, as an example of state C, a state in which a decline in cognitive function of Lewy body type is occurring can be given. In addition, as an example of state D, a state in which frontotemporal cognitive function decline is occurring can be cited.

It should be noted that states A to D are examples, and each state of states A to D can be arbitrarily determined by the user, and each state of states A to D may have different contents from those described above.
The number of categories, the content of the registration statuses belonging to each category, and the number of registration statuses belonging to each category are also examples, and the user can arbitrarily determine these as well.

In addition, in the present embodiment, the number of sections (a total of four of sections 1 to 4) and the number of states (a total of four of states A to D) match, but they do not necessarily have to match, and the number of sections and the number of states may not match.
In any case, in this embodiment, as will be described later, the cognitive function state of the subject is grasped by referring to the state grasping table based on the grasped classification.

Furthermore, in this embodiment, the storage unit 51 is provided with a user database.
In this embodiment, information about each subject is registered and accumulated in a user database. In addition, in the present embodiment, for each subject, information about the behavior of the subject, biological information of the subject such as sleep data of the subject, and the like are registered in the user database, and information about the subject is accumulated in the user database for each subject.

Here, each information of the target person is acquired by various sensors installed in the target person's home and a camera installed in the target person's home. In addition, information on each subject is acquired by the user terminal 4 or the like used by the subject.
Information on each target person is acquired by a device such as an automatic ticket gate installed at a station. Additionally, in this embodiment, the information on the use of the IC pass for transportation is acquired by the device such as the automatic ticket gate.
Information on each subject is also acquired by an acquisition device that acquires biometric data, such as sleep data, of the subject.
Then, in this embodiment, these pieces of information are accumulated in the user database.

FIG. 7 is a flow chart showing the flow of processing performed by the status grasping server 5. As shown in FIG.
In the present embodiment, first, the registration state identifying unit 52 identifies the registration state from among the plurality of registration states (16 registration states (1) to (16)) registered in the classification grasping table (step S101).

Specifically, the registration state identifying unit 52 identifies the registration state corresponding to the subject's state at that time from among the plurality of registration states.
Then, the registration state specifying unit 52 outputs the specified registration state and outputs the classification to which the specified registration state belongs (step S102).

More specifically, based on information registered in the user database (based on behavioral information and biometric information of the subject), the registered state identifying unit 52 determines which of the plurality of registered states registered in the classification grasping table corresponds to the state of the subject.
Then, when the subject's condition corresponds to any of the registration conditions, the registration condition identification unit 52 identifies and outputs this registration condition. Furthermore, the registration state identification unit 52 outputs the category to which the identified registration state belongs.

Additionally, in the present embodiment, as described above, there are a total of 16 registration states (1) to (16), and the registration state identification unit 52 determines whether the state of the subject corresponds to each of these 16 registration states.
Then, when there is a registration state corresponding to the state of the subject, the registration state specifying unit 52 outputs information about this registration state, further refers to the table for class grasping, and outputs information about the class to which this registration state belongs.

Here, in the present embodiment, whether or not the target person's state corresponds to the registered state shown in FIG. 5(1), "Frequently forgetting to turn off the lights" is determined, for example, based on the output from the illuminance sensor installed in the target person's home and the output from the sensor that detects the ON/OFF of the lighting switch.
In this embodiment, for example, when the number of days (for example, the number of days per month) for which the illumination is turned on despite a specific time such as midnight exceeds a predetermined threshold value, it is determined that the subject's state corresponds to the above-described registered state (1).

Further, whether or not the target person's state corresponds to the registration state (2), 'there are many actions different from the schedule set in advance', is determined based on, for example, the schedule registered in the electronic calendar in which the target person's schedule is registered and the position information obtained by the GPS sensor 206 provided in the user terminal 4 of the target person.

In this embodiment, for example, when the ratio of the difference between the position specified by the position information and the destination included in the schedule registered in the electronic calendar exceeds a predetermined ratio, it is determined that the subject's condition corresponds to the above-described registered condition (2).
More specifically, for example, when the value obtained by the following formula (A) exceeds a predetermined threshold, it is determined that the condition of the subject corresponds to the above registered condition (2).
(A) Formula: (number of times the subject went for a different purpose) / (total number of times the subject went out) x 100

Further, whether or not the target person's condition corresponds to the registered condition (3) ``I often cook with a small number of stoves used'' is determined, for example, based on the output from the sensor provided on the stove installed at the target person's home.
Here, in the present embodiment, for example, when the difference between the average number of units used in the past two years and the average number of units used in the past month exceeds a predetermined threshold value, it is determined that the subject's condition corresponds to the above-described registered condition (3).
When cognitive function is normal, a large number of mouthpieces are often used to efficiently cook food, but when cognitive function declines, the number of mouthpieces used during cooking tends to decrease.

Further, whether or not the target person's condition corresponds to the registered condition (4) "shopping through online shopping increased" is determined, for example, based on the credit card usage history.
Specifically, for example, when the ratio of the number of usage histories of online shopping to the total number of credit card usage histories (for example, total per month) changes significantly, it is determined that the target person's condition corresponds to the above-mentioned registered condition (4).
More specifically, for example, when the rate of change before and after the rate change ((percentage after change−percentage before change)/(percentage before change)*100) exceeds a predetermined threshold, it is determined that the subject's state corresponds to the above-described registered state (4).

Further, whether or not the target person's state corresponds to the registered state (5) "more frequent use of map applications" is determined based on the output from the user terminal 4, for example.
Here, in the present embodiment, for example, when the difference between the average number of uses of the map application per week over the past two years and the average number of uses per week of the map application over the past two months exceeds a predetermined threshold value, it is determined that the subject's state corresponds to the registered state (5).
When cognitive function is normal, it is often possible to reach a destination without using a map app.
As the registration state (5), instead of the above "the map application is used more often", for example, "the map application is used more often at a predetermined place" may be registered.
Here, when the cognitive function declines, the map application is often used in places where the use of the map application is generally unnecessary, such as the vicinity of the subject's home or the nearest station of the subject. Therefore, as described above, "the map application is frequently used at a predetermined location" may be registered as the registration state.
It should be noted that whether or not the map application has been used at a predetermined location can be determined based on the positional information obtained by the user terminal 4 (positional information obtained by the GPS sensor 206).
Whether or not "the map application is frequently used at a predetermined location" is determined in the same manner as described above, for example, when the difference between the average number of uses of the map application per week at a predetermined location over the past two years and the average number of uses of the map application per week at a predetermined location over the past two months exceeds a predetermined threshold value, it is determined that the subject's state corresponds to the registered state.

Further, whether or not the target person's state corresponds to the registration state (6), ``calls a name different from the other party's name,'' is determined based on, for example, videophone call records and images and sounds acquired by a camera, a microphone, or the like.
In this embodiment, for example, if the name of the other party specified by the call record is different from the name recorded in the voice acquired by the camera, microphone, etc., it is determined that the state of the target person corresponds to the above registered state (6).

Further, whether or not the subject's state corresponds to the registered state (7) "time required for cooking has increased" is determined, for example, based on the image acquired by the camera (the image of the subject who is cooking).
Here, in the present embodiment, for example, if the difference between the average value of working hours per day for cooking by the subject over the past two years and the average value of working hours per day for cooking by the subject over the past two months exceeds a predetermined threshold, it is determined that the subject's state corresponds to the above-described registered state (7).

Further, whether or not the target person's condition corresponds to the registered condition (8) "shopping using electronic payment has increased" is determined, for example, based on the credit card usage history.
Here, in the present embodiment, for example, if the difference between the average number of shoppings using electronic payment per month over the past two years and the average number of shoppings using electronic payment per month over the past three months exceeds a predetermined threshold, it is determined that the subject's state corresponds to the registration state (8).

Further, whether or not the target person's condition corresponds to the registered condition (9) "the number of times the IC pass has been used for transportation has decreased" is determined based on the history of use of this IC pass, for example.
Here, in the present embodiment, for example, if the difference between the average number of IC passes used per week for the past two years and the average number of IC passes used per week for the past three months exceeds a predetermined threshold value, it is determined that the subject's condition corresponds to the above-described registered condition (9).
When the cognitive function is normal, the IC pass is used more often because it is possible to go out by oneself.

Further, whether or not the subject's state corresponds to the registered state (10) "the number of uses of a device such as a vacuum cleaner has decreased" is determined based on information from the device, for example.
Here, in the present embodiment, for example, if the difference between the average number of uses of the device per week over the past two years and the average number of uses per week of the device over the past two months exceeds a predetermined threshold value, it is determined that the condition of the subject corresponds to the above-described registered condition (10).
When the cognitive function is normal, the subject often uses a vacuum cleaner, etc., but when the cognitive function declines, there is a tendency not to clean, etc. by himself, so the frequency of using the equipment decreases.

Further, whether or not the subject's condition corresponds to the registered condition (11), ``behavior in which the safety mechanism such as the temperature rise prevention mechanism of the stove has been activated more frequently'' is determined, for example, based on the information from this safety mechanism.
Here, in the present embodiment, for example, if the difference between the average number of times the safety mechanism is actuated per month in the past two years and the average number of times the safety mechanism is actuated per month in the past two months exceeds a predetermined threshold, it is determined that the condition of the subject corresponds to the above-described registered condition (11).

Further, whether or not the target person's state corresponds to the registered state (12) "not going out" is determined based on, for example, an output from a motion sensor installed at the target person's home.
Here, in the present embodiment, for example, when the difference between the average number of detections per month by the human sensor over the past two years and the average number of detections by the human sensor per month over the past two months exceeds a predetermined threshold value, it is determined that the subject's state corresponds to the above-described registered state (12).

Further, whether or not the subject's state corresponds to the registered state (13) "I can't sleep at night" is determined, for example, based on the output from the sensor that detects the subject's sleeping state.
Here, in the present embodiment, for example, when the difference between the average sleep time per day of the subject over the past two years and the average sleep time per day of the subject over the past month exceeds a predetermined threshold value, it is determined that the subject's state corresponds to the above-described registered state (13).

Further, whether or not the target person's condition corresponds to the registered condition (14) "complaints to others increased" is determined, for example, by the number of inquiries to the customer center.
Here, in this embodiment, for example, the number of calls to the customer center per unit time such as one month is grasped by referring to the target person's call record.
Then, when the difference between the average number of calls over the past two years and the average number of calls over the past two months exceeds a predetermined threshold value, it is determined that the condition of the subject corresponds to the above registered condition (14).

Further, whether or not the target person's state corresponds to the registered state (15) "Increased yelling and talking to oneself" is determined, for example, by analyzing the image acquired by the camera.
Here, in this embodiment, for example, an image captured by a camera is analyzed, and the number of yells and monologues per unit time such as one month is grasped.
Then, in this embodiment, when the difference between the average value of the number of times in the past two years and the average value of the number of times in the past two months exceeds a predetermined threshold, it is determined that the condition of the subject corresponds to the above registered condition (15).

Further, whether or not the subject's state corresponds to the registered state (16) "became hallucinating" is determined, for example, by analyzing the image acquired by the camera.
Here, in this embodiment, for example, an image acquired by a camera is analyzed, and the number of specific actions per unit time such as one month is grasped. More specifically, the number of specific behaviors such as the target person speaking even though there is no other person is grasped.
Then, in this embodiment, when the difference between the average value of the number of times in the past two years and the average value of the number of times in the past two months exceeds a predetermined threshold, it is determined that the condition of the subject corresponds to the above registered condition (16).

In the present embodiment, the registration status identification unit 52 determines whether or not the subject's status corresponds to the registration status by performing the determination process described above. Then, when the subject's state corresponds to the registered state, the registered state specifying unit 52 outputs information about this registered state and outputs the category to which this registered state belongs, as shown in step S102 of FIG.
Here, as described above, when outputting a category, the registration state identification unit 52 refers to the category grasping table to grasp the category to which the identified registration state belongs, and outputs the grasped category.

Next, in the present embodiment, the state grasping unit 53 grasps the subject's state, which is the state of the subject's cognitive function, based on the registration state and category output by the registration state specifying unit 52 (step S103).
Specifically, the state grasping unit 53 refers to the state grasping table (see FIG. 6), and grasps the state of the subject's cognitive function based on the registration state and category output by the registration state identifying unit 52 .

More specifically, the state grasping unit 53 refers to the state grasping table, and identifies one of the above states A to D based on the registration state and category output by the registration state identifying unit 52 .
In addition, the state grasping unit 53 selects a state from among the plurality of states A to D registered in advance based on the registered state and category output by the registered state identifying unit 52, and grasps the selected state as the subject state.
The state grasped by the state grasping unit 53 is, for example, transmitted to the user terminal 4 owned by the subject or relatives, or transmitted to a terminal device such as a PC operated by a doctor.

To explain with a specific example, for example, when the category output by the registered state identifying unit 52 is category 1 (see FIG. 6), the state grasping unit 53 grasps the state A as the subject state.
Further, for example, when the categories output by the registered state specifying unit 52 are three categories 1 to 3, the state grasping unit 53 grasps the state B as the subject state.
Further, for example, the state grasping unit 53 recognizes the state C as the subject state when the categories output by the registration state identifying unit 52 are four categories 1 to 4, and the registration state (16) included in the category 4 is output by the registration state identifying unit 52.
Further, for example, the state grasping unit 53 recognizes the state D as the target person state when the categories output by the registration state identifying unit 52 are four categories 1 to 4, and the registration state (15) included in the category 4 is output by the registration state identifying unit 52.

In this embodiment, the state grasping unit 53 grasps the subject's state based on the classification information output by the registration state identifying unit 52 in this way.
In addition, in the present embodiment, if the categories output by the registration state identifying unit 52 are categories 1 to 4, and the subject's state may correspond to either state C or state D, the state grasping unit 53 grasps the state of the subject, taking into consideration the registration state output by the registration state identifying unit 52.

In this embodiment, when the subject's status corresponds to any one of a plurality of statuses, the subject's status is grasped in consideration of the output registered status.
However, the subject's condition may be grasped based only on the category output by the registration condition identification unit 52 without being limited to this. In this case, for example, only the information about the classification and the information about the status are associated with each other in the status grasping table, and the subject's status is grasped based only on the information about the classification.

In addition, the number of specific registration states in the section to which the registration state identified by the registration state identification unit 52 (hereinafter referred to as "specific registration state") belongs may be grasped for each section. In addition, the number of registration states corresponding to the specific registration state among the plurality of registration states classified into the classes to which the specific registration state belongs may be grasped for each category. In this embodiment, the number grasping unit 54 grasps the number.
In this case, the state grasping unit 53 may grasp the subject's state based on the division to which the specific registration state belongs and the number grasped for each division.

To explain with a specific example, for example, even if the category to which the specific registration status belongs is Category 1, if the number of items recognized for Category 1 is one, the status comprehension unit 53 may determine that the subject's condition does not correspond to condition A. Additionally, in this case, the state grasping unit 53 may determine that the subject's cognitive function state is normal.
In other words, the state grasping unit 53 may grasp the subject's state based on the divisions whose number exceeds the threshold without considering the divisions whose number grasped by the number grasping unit 54 is smaller than the predetermined threshold.

Conversely, if the number grasped by the number grasping unit 54 is 1 or more, the state grasping unit 53 always considers the category grasped as 1 or more, and may grasp the subject's state based on this category.

In addition, as a method of grasping the state of the subject, it is also possible to grasp the state of the subject simply based on the number of registered states corresponding to the state of the subject without setting the categories as described above. However, in this case, as the number of registered states corresponding to the subject's state increases, it can be seen that the subject's cognitive function is declining, but different states such as the above states (A) to (D) cannot be grasped.
As in the present embodiment, by grasping the category to which the registered state corresponding to the state of the subject belongs and based on this category, different states can be grasped.

In addition, change information, which is information about temporal changes in the subject's cognitive function, is acquired, and the state grasping unit 53 may grasp the state of the subject based on the category to which the specific registration state belongs and this change information.
Here, in the present embodiment, change information is acquired by the change information acquisition unit 55 .
The change information acquisition unit 55 acquires change information by acquiring information transmitted from the user terminal 4, for example.

Specifically, when acquiring the change information, for example, information is transmitted from the state grasping server 5 to the user terminal 4 operated by the target person or the user terminal 4 operated by the target person's relatives, and questions are asked to the target person or relatives through the user terminal 4.
Specifically, for example, a question is asked about "change in degree of forgetfulness".
Then, the change information acquisition unit 55 acquires change information by obtaining an answer to this question.

FIG. 8 is a diagram showing a question about "change in degree of forgetfulness" displayed on the user terminal 4. As shown in FIG.
In this embodiment, for example, a plurality of graphs as shown in FIG. Furthermore, as shown in FIG. 8, "Please select a graph" is displayed.

Then, the change information acquisition unit 55 acquires change information by acquiring an answer to this question. The example shown in FIG. 8 illustrates a case where graph (3) is selected, and the change information acquisition unit 55 acquires change information based on this selected graph (3). In other words, the change information acquisition unit 55 acquires change information based on the selection result of the graph.

When the change information is acquired, the state grasping unit 53 grasps the subject's state based on the category to which the specific registration state belongs and this change information.
More specifically, when the change information is also taken into consideration, the information about the classification and the change information are associated with the subject's state in advance, and are registered in advance in the state grasping table in the same manner as described above.

Specifically, in this case, as indicated by reference numeral 9A in FIG. 9 (a diagram showing another example of the state grasping table), "Category 1, Section 2 + 'sudden decrease'" and "state X" are further registered in the state grasping table.
In addition, "class 1 to class 3 + 'sudden decrease'" and 'state X' are registered in the state grasping table.
In addition, "class 1 to class 4 + 'sudden decrease'" and 'state X' are registered in the state comprehension table.

Then, in this case, the state grasping unit 53 grasps that the state of the subject is state X when the category to which the specific registration state belongs is any of “category 1,” “category 1 to category 3,” or “category 1 to category 4,” and the change information is “suddenly changed.”
Here, if the change information indicates a sudden change in cognitive function, such as "sudden change", it is assumed that the subject's cognitive function is changing due to cerebral hemorrhage or the like. When change information is taken into consideration, it becomes possible to grasp changes in cognitive function caused by cerebral hemorrhage or the like.
In the above description, the change information is obtained by asking questions to the subject, but the change information may be obtained by other methods.
Specifically, for example, the change information may be acquired by analyzing the past state grasp information in chronological order. More specifically, in the present embodiment, as described above, the state grasping unit 53 grasps the state. For example, the state grasping unit 53 grasps the state periodically (multiple times at different times) to grasp a plurality of states. Then, change information may be acquired based on a plurality of grasped states.

In addition, the state grasping unit 53 may acquire information about the subject's past history, and grasp the state of the subject by taking this information about the past history into consideration.
In this way, when the past history is taken into consideration, for example, "division 1 to division 3 + the presence of a history of cerebrovascular disease" and "state Y" are registered in the state comprehension table.
Similarly, “Classification 1 to Classification 4+has a history of cerebrovascular disease” and “state Y” are registered in the state comprehension table.

In this case, if the category to which the specific registered state belongs is either "Category 1 to Category 3" or "Category 1 to Category 4" and the subject has a history of cerebrovascular disease, the state grasping unit 53 grasps that the state of the subject is state Y.
Here, when there is a history of cerebrovascular disease, it is assumed that the subject's cognitive function is degraded due to this past history of cerebrovascular disease. By taking into account the medical history, the subject's condition can be grasped more accurately.

Information about the subject's past history is acquired from the user terminal 4, for example, in the same manner as the change information described above. More specifically, the target person or relatives are asked to input information about the past history of the coping person via the user terminal 4, and the status grasping server 5 acquires the information from the user terminal 4, thereby obtaining information about the past history.
Then, the state grasping unit 53 grasps the subject's state by taking into consideration the information on this past history in addition to the category to which the specific registration state belongs.

In addition, the degree of the target person's state grasped by the state grasping unit 53 may be grasped based on the degree of the state of the subject (based on the degree of the state of the subject who is regarded as being in the specific registration state).
Note that, in the present embodiment, the degree grasping unit 56 grasps the degree.

To explain with a specific example, for example, when the specific registration state is the registration state (1) ``Frequently forgetting to turn off the lighting'', the degree grasping part 56 grasps the actual degree of the state of ``Frequently forgetting to turn off the lighting'' of the subject.
Then, for example, when the specific registration state is only the registration state (1), the state grasping unit 53 grasps the state (A). At this time, the degree grasping unit 56 may grasp the degree of the state (A) based on the above-described actual degree of the subject, and output information on this degree.

More specifically, the degree grasping unit 56 outputs, for example, which stage of the 10 stages the state (A) is, based on the frequency of occurrence of the behavior of "forgetting to turn off the light".
More specifically, for example, if the frequency of the behavior “forgetting to turn off the lights” occurs about once a month (if the frequency is less than a predetermined threshold value), the degree grasping unit 56 outputs that it is in the first stage, and if this frequency is once a day (when the frequency is greater than the predetermined threshold value), it outputs that it is in a stage higher than the first stage.

Note that each of the registration states shown in FIG. 5 is an example. Other states may be registered states.
For example, "the frequency of purchasing the same item in online shopping has increased" may be registered as the registration status.
It should be noted that whether or not the target person's condition corresponds to this registered condition of "increased frequency of purchasing the same item through online shopping" is determined based on, for example, the purchase history of online shopping.
More specifically, the difference between the average number of purchases per month over the past two years and the average number of purchases per month over the past two months is grasped for each item, and when this difference exceeds a predetermined threshold for a specific item, it is determined that the condition of the subject corresponds to the above registered condition.

In addition, it is also possible to register as a registration state ``there are more purchases of the same amount with the same transfer destination for purchases of goods''.
It should be noted that whether or not this registration state applies is determined based on, for example, credit card usage history and withdrawal information in a bank account.
More specifically, for example, based on the credit card usage history, the average value of the number of uses per month for the same amount of money and the same transfer destination for the past two years is grasped, and the difference between the average value of the number of uses per month for the same amount and the same transfer destination for the past two months is grasped, and when this difference exceeds a predetermined threshold, it is determined that the subject's state corresponds to the above-mentioned registered state.

REFERENCE SIGNS LIST 1 information processing system 51 storage unit 52 registration state identification unit 53 state grasping unit 54 number grasping unit 55 change information acquisition unit 56 degree grasping unit

Claims (5)

storage means for storing each of a plurality of categories into which registration states, which are states about a person and have been registered in advance, are classified, and the registration states classified into each of the categories, in association with each other;
a registration status identifying means for identifying a registration status corresponding to the subject's status from among the plurality of registration statuses;
Section identifying means for identifying the section to which the registration state identified by the registration state identifying means belongs;
A state grasping means for grasping a subject state, which is a state of cognitive function of the subject, based on the classification identified by the classification identifying means;
with
The information processing system, wherein the state grasping means selects the state from among a plurality of pre-registered cognitive function states based on the classification identified by the classification identifying means, and grasps the selected state as the subject state. 2. The information processing system according to claim 1, wherein the state grasping means selects the state from among the states of the plurality of cognitive functions registered in advance based on the classification identified by the classification identifying means and the registration state identified by the registration state identifying means , and grasps the selected state as the subject state. 2. The information processing system according to claim 1, further comprising degree grasping means for grasping the degree of the state of the subject grasped by the state grasping means based on the degree of the state of the subject. storage means for storing each of a plurality of categories into which registration states, which are states about a person and have been registered in advance, are classified, and the registration states classified into each of the categories, in association with each other;
a registration status identifying means for identifying a registration status corresponding to the subject's status from among the plurality of registration statuses;
Section identifying means for identifying the section to which the registration state identified by the registration state identifying means belongs;
A state grasping means for grasping a subject state, which is a state of cognitive function of the subject, based on the classification identified by the classification identifying means;
with
The state grasping means selects the state from among a plurality of pre-registered cognitive function states based on the classification identified by the classification identifying means, and grasps the selected state as the subject state. a registration status identification function for identifying a registration status corresponding to a subject's status from among a plurality of registration statuses that are statuses about a person and that have been registered in advance;
a category specifying function for specifying a category to which the registration state specified by the registration state specifying function belongs;
A state grasping function for grasping a subject state, which is a state of the cognitive function of the subject, based on the division specified by the division specifying function;
is a program for realizing on a computer,
The state grasping function selects the state from among a plurality of pre-registered cognitive function states based on the classification specified by the classification identifying function, and grasps the selected state as the subject state.
program .