JP2020190946A - Information processing system and program - Google Patents

Abstract

To issue a notification quickly if a subject is not in a normal state, while preventing the subject from feeling strange.SOLUTION: The information processing system of the present invention includes: biological data acquisition means for acquiring biological data of a subject in a bed; time information acquisition means for acquiring time information when the biological data is acquired; history information generation means for generating history information of the biological data on the basis of the time information and the biological data; and output means for outputting abnormality information which shows the subject is not in a normal state if the biological data of the subject is not acquired from the history information when the biological data is supposed to be acquired.SELECTED DRAWING: Figure 6

Description

The present invention relates to information processing systems and programs.

As a prior art, Patent Document 1 describes whether the stoppage of body movement is due to normal sleep when a sensor for measuring brain waves and body movement is attached to the wrist of the subject and the stoppage of body movement is detected. An automatic detection / reporting system that identifies whether it is due to unconsciousness and sends a report in an emergency is disclosed.

JP-A-2002-422777

By the way, when the subject is to be equipped with a sensor or the like that acquires biological data such as body movement as in the technique of Patent Document 1, the subject forgets to attach the sensor or the subject removes the sensor with a sense of discomfort. It may happen. Then, when the subject is not equipped with the sensor, the abnormality that has occurred in the subject cannot be detected, and it is difficult to promptly notify the state of the subject.
An object of the present invention is to promptly notify a subject when the subject is abnormal while suppressing the subject from causing discomfort.

The invention according to claim 1 is a biometric data acquisition means for acquiring biometric data in a subject's bedding, a time information acquisition means for acquiring time information when acquiring the biometric data, the time information and the living body. The history information generating means for generating the history information of the biometric data based on the data, and the biometric data of the subject when the biometric data of the subject is not acquired at the predicted time predicted to be acquired from the historical information. It is an information processing system including an output means for outputting abnormal information indicating the possibility that the subject is abnormal.
The invention according to claim 2, wherein the history information generating means generates information representing a time-series change of the biometric data in a predetermined unit period as the history information. Information processing system.
2. The invention according to claim 3 is characterized in that the history information generating means generates the history information based on the time information and the biometric data acquired in the plurality of unit periods. It is an information processing system described in.
The invention according to claim 4 is further provided with an action data acquisition means for acquiring the action data of the subject in the living space provided in the living space in which the subject lives, and the output means is provided at the predicted time. The information processing system according to claim 1, wherein the abnormal information is output when the biometric data cannot be obtained and the behavior data is not acquired by the behavior data acquisition means. is there.
In the invention according to claim 5, even if the output means acquires the biometric data at the predicted time, if the value of the biometric data is different from the historical information, the abnormal information The information processing system according to claim 1, wherein the information processing system is characterized by outputting.
The invention according to claim 1, wherein the history information generating means generates a plurality of the history information according to the acquisition status of the biometric data by the biometric data acquisition means. Information processing system.
The invention according to claim 1, wherein the history information generating means calculates a plurality of predicted times in which the subject is differently likely to be abnormal in the history information. It is an information processing system.
The invention according to claim 8 includes a function of acquiring biometric data in a subject's bedding, a function of acquiring time information at the time of acquiring the biometric data, and the time information and the biometric data. Based on this, the subject is abnormal when the function of generating the history information of the biometric data and the biometric data of the subject are not acquired at the predicted time predicted to be acquired from the history information. It is a program that realizes a function to output abnormal information indicating the possibility.

According to the present invention, it is possible to promptly notify a subject when the subject is abnormal while suppressing the subject from causing a sense of discomfort.

It is a figure which shows the whole structure of the information processing system to which this embodiment is applied. It is a figure which shows the functional configuration example of the server apparatus to which this embodiment is applied. It is a figure which showed an example of the biological data and time information stored in a storage device. It is a figure which showed an example of the history information stored in the storage device. It is a flowchart explaining an example of the processing operation of the history information generation processing executed by a server apparatus. It is a flowchart explaining an example of the processing operation of the determination process executed by a server apparatus. (A) to (c) are diagrams showing an example of a message displayed on a mobile terminal.

Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings.
FIG. 1 is a diagram showing an overall configuration of an information processing system 1 to which the present embodiment is applied.
The information processing system 1 is a server device provided in the living space S in which the subject lives to determine and notify the state of the subject based on the detection unit 2 for detecting the biological data and behavior of the subject, the detection result by the detection unit 2, and the like. 3. The mobile terminal 4 operated by the person concerned with the subject is connected through the Internet 10.
Here, the persons concerned with the subject include, for example, the family of the subject, the home helper who visits the subject's house, the employee of the facility where the subject resides, the employee of the medical institution, and the like.
In the information processing system 1 shown in FIG. 1, there is one server device 3 and one mobile terminal 4, but a plurality of server devices 3 may exist.

The detection unit 2 includes a bed sensor 21 that acquires biological data of a sleeping subject, a door opening / closing sensor 22 that detects the opening / closing of a door provided in the living space S, and one or more living rooms constituting the living space S. It is equipped with a motion sensor 23 that detects the presence or absence of the subject. The detection signal by the door opening / closing sensor 22 and the detection signal by the motion sensor 23 correspond to the behavior data of the subject in the living space S.
Further, the detection unit 2 includes a communication device 27 that realizes a connection between each sensor and the Internet 10, and a network 28 that connects each sensor and the communication device 27. Each sensor of the detection unit 2 may be directly connected to the Internet 10 without going through the communication device 27.

The bed sensor 21 includes a sensor unit 211 capable of non-contactly measuring biological data of a person sleeping, and a time measuring unit 212 for acquiring time information.
Examples of the sensor unit 211 include a mat-type sensor that is laid under the bedding on which the subject sleeps. For example, the sensor unit 211 is composed of a conductive material and a plurality of piezoelectric elements, and detects periodic micro-vibrations. The sensor unit 211 may use a microwave Doppler radar. In the case of the present embodiment, the sensor unit 211 detects body movements such as pulse, body temperature, respiratory rate, and turning over as biological data. In addition, the sensor unit 211 detects that a person has entered the bedding and that the person has left the bedding.

However, the sensor unit 211 of the bed sensor 21 is not limited to a mat-type sensor or a microwave Doppler radar as long as it can detect biological data. For example, a smartphone may be used as the bed sensor 21. Currently, as an application program for smartphones, there is one that can measure the sleep time, sleep cycle, etc. of a subject by using the output of an acceleration sensor built in the smartphone. Such an application program for smartphones can be used as the sensor unit 211 of the bed sensor 21.

The timekeeping unit 212 acquires time information, which is the time when the sensor unit 211 acquires biometric data.
Then, the bed sensor 21 transmits the biological data acquired by the sensor unit 211 and the time information acquired by the time measuring unit 212 to the server device 3 in a predetermined time unit (for example, in 1 minute units). Further, the bed sensor 21 of the present embodiment sends a signal and time information indicating that the biometric data is not detected even when the sensor unit 211 does not detect the biometric data, for example, when the subject is not in the bedding. It is transmitted to the device 3.

The door opening / closing sensor 22 detects the opening / closing of the door leading from the living space S to the outside and the door provided in each living room. As the door opening / closing sensor 22, for example, a magnet sensor that detects the opening / closing of the door by magnetic force can be used.

The motion sensor 23 detects whether or not a subject is present in each living room including the bedroom and bathroom of the living space S. The motion sensor 23 includes, for example, a passive infrared sensor that detects the presence of the subject by receiving infrared rays emitted from the subject, and a passive infrared sensor that detects the presence of the subject by blocking the infrared rays emitted into the living room by the subject. An active infrared sensor or the like can be used.

In the information processing system 1 of the present embodiment, the door open / close sensor 22 and the motion sensor 23 transmit a detection signal to the server device 3 via the communication device 27 at the timing when a predetermined event is detected for each sensor. To do. For example, when the door opening / closing sensor 22 detects an operation of opening / closing the door by the subject, the door opening / closing sensor 22 transmits the detection signal to the server device 3. Further, when the motion sensor 23 detects that the subject is present in the living room, the motion sensor 23 transmits the detection signal to the server device 3.

The server device 3 has a function of collecting detection results by each sensor constituting the detection unit 2 and generating historical information of biometric data. Further, the server device 3 has a function of determining the state of the subject based on the history information and notifying the mobile terminal 4 of the person concerned when the state of the subject is determined to be abnormal. The configuration of the server device 3 will be described in detail later.
The mobile terminal 4 is an information device including a display unit for displaying information and a communication unit for communicating with other devices, such as a smartphone, a tablet terminal, and a notebook computer.

FIG. 2 is a diagram showing a functional configuration example of the server device 3 to which the present embodiment is applied.
The server device 3 is a so-called computer, and communicates with an arithmetic unit 31 that executes an application program, a storage device 33 that stores various data, and another device that constitutes an information processing system 1 (see FIG. 1). A communication device 35 for performing the operation and a bus 37 for connecting them are provided.
The arithmetic unit 31 has a CPU (= Central Processing Unit), a ROM (= Read Only Memory) in which a BIOS (= Basic Input Output System) and the like are stored, and a RAM (= Random Access Memory) used as a work area. Have. The ROM here may be rewritable as long as it is a non-volatile semiconductor memory.

The arithmetic unit 31 determines the state of the subject through the execution of an application program by a CPU (not shown), and outputs the determination result.
The arithmetic unit 31 includes a history information generation unit 311 that generates history information of biometric data based on biometric data and time information, and a determination unit 313 that determines a subject's state based on the detection result and history information by the detection unit 2. , It functions as a notification unit 315 for notifying the determination result by the determination unit 313. Each function of the history information generation unit 311 and the determination unit 313 and the notification unit 315 is realized through the execution of the application program.

The history information generation unit 311 is an example of a biological data acquisition means, a time information acquisition means, and a history information generation means. The history information generation unit 311 generates historical information of biometric data per unit period based on biometric data and time information acquired in a predetermined unit period. The historical information of biometric data per unit period is information representing the biometric data acquired in the unit period in chronological order, and includes the biometric data and the predicted time when the biometric data is predicted to be acquired. It is the associated information. The history information generation unit 311 calculates the predicted time when the biometric data is expected to be acquired based on the biometric data and the time information acquired in a predetermined unit period, and generates the history information.

In the description of the present embodiment, the history information of the biometric data per unit period may be referred to as "history information of biometric data" or simply "history information". Further, the biometric data and the time information acquired in a predetermined unit period used by the history information generation unit 311 to generate the history information may be referred to as "generation source information".
The details of the history information and the process of generating the history information by the history information generation unit 311 will be described later with specific examples.

The determination unit 313 states the subject resident in the living space S based on the history information of the biometric data generated by the history information generation unit 311 and the detection result by each sensor of the detection unit 2 (see FIG. 1). To judge. In addition, the determination unit 313 determines that the subject may be abnormal if, for example, the biometric data of the subject is not acquired at the predicted time when the biometric data is predicted to be acquired, based on the historical information. .. The process of determining the state of the subject by the determination unit 313 will be described later with a specific example.

The notification unit 315 notifies the related parties of information regarding the state of the subject based on the determination result by the determination unit 313. As an additional note, when the determination unit 313 determines that the subject may be abnormal, the notification unit 315 notifies the mobile terminal 4 operated by the person concerned of the information regarding the state of the subject. As a result, the person concerned can know the state of the subject, and when the subject falls into a state such as cardiopulmonary arrest, the subject is suppressed from being left for a long period of time. The content of the notification by the notification unit 315 will be described later with a specific example.
In the present embodiment, the determination unit 313 and the notification unit 315 are examples of the output means and the action data acquisition means.

The storage device 33 is a device that reads / writes data to / from a non-volatile rewritable storage medium, and is composed of, for example, a hard disk device, a semiconductor memory, or the like. In the case of this embodiment, the storage device 33 also stores basic software and application programs. Through the execution of the application program by the CPU, the functions of the history information generation unit 311, the determination unit 313, and the notification unit 315 described above are realized.

Further, the storage device 33 of the present embodiment identifies biological data and time information acquired from the bed sensor 21 of the detection unit 2, history information generated by the history information generation unit 311 of the arithmetic unit 31, and a subject. Various data such as identification information and contact information of related parties are stored.
Various data stored in the storage device 33 are stored as many as the number of subjects who use the information processing system 1, and are managed by IDs (Identifiers) used for managing the subjects.

The identification information is, for example, information such as the subject's name, address, age, gender, and physique. In the address, for example, the address of the living space S where the subject lives and the address of the facility where the subject resides are recorded. Physical characteristics such as height, fatness, thinness, and medium back are recorded in the physique.
For example, the telephone number, e-mail address, etc. of the mobile terminal 4 (see FIG. 1) operated by the related parties are recorded in the contact information of the related parties.

FIG. 3 is a diagram showing an example of biological data and time information stored in the storage device 33.
As described above, the detection unit 2 (see FIG. 1) transmits the biometric data and the time information acquired by the bed sensor 21 to the server device 3 in a predetermined time unit (1 minute unit in this example). .. Further, the detection unit 2 transmits a signal and time information indicating that the biometric data is not detected to the server device 3 even when the sensor unit 211 (see FIG. 1) of the bed sensor 21 does not detect the biometric data.
In the storage device 33, as shown in FIG. 3, the biometric data (or the signal indicating that the biometric data is not detected) acquired by the bed sensor 21 and the time information are stored in association with each other. In this example, as biological data, whether or not the subject is in bedding, sleep state, pulse rate, respiratory rate, and presence or absence of body movement are stored for each time information (that is, in 1-minute units).

In the present embodiment, the history information is generated by the history information generation unit 311 using the biometric data and the time information stored in the storage device 33 as the generation source information. Further, the state of the subject is determined by the determination unit 313 based on the biological data and the time information stored in the storage device 33.

FIG. 4 is a diagram showing an example of history information stored in the storage device 33. The history information is stored in the storage device 33 each time it is newly generated by the history information generation unit 311.
As described above, the history information is information representing the biometric data acquired in a unit period (1 day in this example) in time series, and the biometric data and the biometric data are acquired by the bed sensor 21. It is the information associated with the predicted time predicted to be. Although details will be described later, in the present embodiment, the history information is generated based on the generation source information (biological data and time information) acquired in a plurality of unit periods (several days in this example).

As shown in FIG. 4, the history information of the present embodiment is obtained when the subject enters the bedding (indicated as “bed rest” in FIG. 4) and when the subject starts sleeping (in FIG. 4, “ When the subject wakes up (indicated as "end of sleep" in FIG. 4) and when the subject leaves the bedding (indicated as "getting out of bed" in FIG. 4). Each contains an estimated time that the bed sensor 21 is expected to detect.

Further, the history information of the present embodiment has a plurality of predicted times (in this example, the "first predicted time" and the "second predicted time"). Here, the "first predicted time" is the predicted time when the biometric data calculated by the history information generation unit 311 is predicted to be acquired, and the generation of a plurality of unit periods which are the sources of the history information. In the original information, it is the average time when the corresponding biometric data was acquired. For example, when generating historical information from the generator information for 3 days, the biometric data corresponding to "start of sleep" was acquired at 21:00 on the first day, 22:00 on the second day, and 21:30 on the third day. Then, in the history information, the "first predicted time" of the "sleep start" is calculated as "21:30 (indicated as 21:30 in FIG. 4)".

On the other hand, the "second predicted time" is the predicted time when the biometric data calculated by the history information generation unit 311 is predicted to be acquired, and is the generation source of all the unit periods that are the source of the history information. In the information, it is the time when the corresponding biometric data was acquired. In other words, the "second predicted time" is the latest time among the times when the corresponding biometric data was acquired in the generator information of the plurality of unit periods. In the above example, the "second predicted time" of "sleep start" is calculated as "22:00 (indicated as 22:00 in FIG. 4)" in the history information.

Further, the history information of the present embodiment includes predicted value information which is a value of biometric data predicted to be acquired by the bed sensor 21. In this example, the historical information includes the predicted values of the pulse rate, the respiratory rate, and the body movement number that are predicted to be acquired when the subject is sleeping as the predicted value information. The predicted value information is, for example, the generation information of a plurality of unit periods that is the source of the historical information, and is the biometric data (pulse rate, respiratory rate, body movement number) acquired while the subject is sleeping. It can be the average value of the values.

Subsequently, the history information generation process performed by the server device 3 will be described. FIG. 5 is a flowchart illustrating an example of a processing operation of the history information generation process executed by the server device 3.
The communication device 27 of the detection unit 2 transmits sensor signals output from various sensors provided in the living space S to the server device 3 via the Internet 10. The sensor signal here includes the biological data and time information of the subject acquired by the bed sensor 21. As described above, the detection unit 2 transmits the biometric data and the time information acquired by the bed sensor 21 to the server device 3 in a predetermined time unit (1 minute unit).

When the server device 3 receives the new biometric data and time information, the server device 3 stores the received biometric data and time information in the storage device 33 (see FIG. 2) (step 101). In the case of the present embodiment, as shown in FIG. 3, the biometric data and the time information are associated and stored in the storage device 33.
This process is continuously executed for a predetermined unit period (one day in this example). That is, when the predetermined unit period has not elapsed (NO in step 102), the server device 3 continues the process of storing the biometric data and the time information.

Next, when the predetermined unit period elapses (YES in step 102), the server device 3 determines whether or not the history information generation unit 311 has collected the generation source information of the plurality of predetermined unit periods. (Step 103). For example, when the history information generation unit 311 generates history information from the generation source information for three days as a plurality of unit periods, it determines whether or not the generation source information for three days has been collected.
When the generator information for a plurality of predetermined unit periods has not been collected (NO in step 103), the server device 3 performs a process of storing biometric data and time information until the generator information is collected. continue.

On the other hand, when the generation source information of a plurality of predetermined unit periods is collected (YES in step 103), the server device 3 has the history information generation unit 311 unit based on the generation source information of the plurality of unit periods. Historical information representing the biometric data acquired during the period in chronological order is generated (step 104).
Specifically, the history information generation unit 311 calculates the predicted time when the biometric data is predicted to be acquired based on the biometric data in each generation source information and the time information when the biometric data is acquired. In this example, as described above, the history information generation unit 311 calculates the first predicted time and the second predicted time for each of bed rest, sleep start, sleep end, and bed rest as predicted times. In addition, the history information generation unit 311 calculates the predicted values of the pulse rate, the respiratory rate, and the body movement number of the sleeping subject as the predicted value information of the biometric data based on the biometric data in each source information.

Next, the server device 3 stores the history information generated by the history information generation unit 311 in the storage device 33 (step 105), and ends a series of history information generation processes.
The server device 3 may continuously acquire biometric data and time information even after the history information generated by the history information generation unit 311 is stored in the storage device 33. Then, the history information generation unit 311 may update the history information stored in the storage device 33 based on the acquired biometric data and the time information every time a predetermined unit period elapses.

Subsequently, the process of determining the state of the subject performed by the server device 3 will be described. FIG. 6 is a flowchart illustrating an example of a processing operation of the determination process executed by the server device 3. The subject state determination process described below may be performed in parallel with the history information generation process described above.
As described above, the detection unit 2 transmits the biometric data acquired by the bed sensor 21 or a signal indicating that the biometric data is not detected to the server device 3 in predetermined time units.

The server device 3 determines whether or not the current time is the first predicted time based on the history information stored in the storage device 33 by the determination unit 313 (step 201).
If the current time is not the first predicted time (NO in step 201), the server device 3 continues the process of step 201 until the current time reaches the first predicted time.

When the current time is the first predicted time (YES in step 201), the server device 3 receives biometric data predicted to be acquired by the bed sensor 21 at the first predicted time from the detection unit 2. It is determined whether or not the data has been acquired (step 202). For example, the determination unit 313 determines whether or not the biological data indicating that the subject has entered the bedding has been acquired from the detection unit 2.
Then, when the biometric data predicted to be acquired at the first predicted time is acquired (YES in step 202), the determination unit 313 determines that the subject is normal (step 203), and performs a series of processes. finish. In the present embodiment, when the determination unit 313 determines that the subject is normal in step 203, the notification unit 315 does not notify, but the person concerned carries a notification that the subject is normal. You may go to the terminal 4 (see FIG. 1) or the like.

When the biometric data predicted to be acquired at the first predicted time is not acquired (NO in step 202), the determination unit 313 detects from sensors other than the bed sensor 21 (door open / close sensor 22, motion sensor 23). It is determined whether or not the signal has been acquired from the detection unit 2 (step 204).
Then, when a detection signal from a sensor other than the bed sensor 21 is acquired (YES in step 204), the determination unit 313 determines that the subject is normal (step 203 described above), and ends a series of processes. ..

When the detection signal from the sensor other than the bed sensor 21 is not acquired (NO in step 204), the determination unit 313 determines that the subject may be abnormal (step 205). Then, the notification unit 315 notifies the mobile terminal 4 of the person concerned of the first abnormal information indicating the possibility that the subject is abnormal (step 206). The first abnormal information notified by the notification unit 315 will be described later with a specific example.

Next, the server device 3 determines whether or not the current time is the second predicted time based on the history information stored in the storage device 33 by the determination unit 313 (step 207).
If the current time is not the second predicted time (NO in step 207), the server device 3 continues the process of step 207 until the current time reaches the second predicted time.

When the current time is the second predicted time (YES in step 207), the server device 3 receives the biometric data predicted to be acquired by the bed sensor 21 at the second predicted time from the detection unit 2. It is determined whether or not the data has been acquired (step 208).
Then, when the biometric data predicted to be acquired at the second predicted time is acquired (YES in step 208), the determination unit 313 determines that the subject is normal (step 209). Next, the notification unit 315 notifies normal information indicating that the subject is normal (step 210), and ends a series of processes. Here, in the present embodiment, when the first predicted time does not acquire biometric data and other detection signals, the first abnormal information is notified in step 206. Therefore, by notifying the normal information again in step 210, the persons concerned can accurately grasp the state of the subject. The normal information notified by the notification unit 315 will be described later with a specific example.

When the biometric data predicted to be acquired at the second predicted time is not acquired (NO in step 208), the determination unit 313 detects from sensors other than the bed sensor 21 (door open / close sensor 22, motion sensor 23). It is determined whether or not the signal has been acquired from the detection unit 2 (step 211).
Then, when a detection signal from a sensor other than the bed sensor 21 is acquired (YES in step 211), the determination unit 313 determines that the subject is normal (step 209), and the notification unit determines that the subject is normal. Normal information indicating the existence is notified (step 210), and a series of processes is terminated.

On the other hand, when the detection signal from the sensor other than the bed sensor 21 is not acquired (NO in step 211), the determination unit 313 determines that the subject may be abnormal (step 212). Then, the notification unit 315 notifies the second abnormal information indicating the possibility that the subject is abnormal (step 213), and ends the series of processes.
As described above, the second predicted time is the time when the corresponding biometric data is acquired in the generating information of all the unit periods that are the sources of the historical information. Therefore, if the biological data cannot be obtained at the second predicted time, it is presumed that the subject is more likely to be abnormal. Therefore, in the second abnormal information notified in step 213, it is preferable to notify that the subject is more likely to be abnormal than the first abnormal information.

Subsequently, the first abnormal information, the second abnormal information, and the normal information notified by the notification unit 315 will be described. As described above, the notification unit 315 notifies the mobile terminal 4 of the person concerned or the like of the first abnormal information, the second abnormal information, and the normal information (steps 206, 210, 213).
The mobile terminal 4 that has received the notification displays the notified information on the display unit. The information is displayed, for example, as a message.

7 (a) to 7 (c) are diagrams showing an example of a message displayed on the mobile terminal 4. FIG. 7A shows an example of a message displayed when the first abnormal information is notified. Further, FIG. 7B shows an example of a message displayed when the second abnormal information is notified. Further, FIG. 7C shows an example of a message displayed when normal information is notified. Here, the subject is "Mr. XX".
In the example shown in FIG. 7A, the message "The biological data of Mr. XX cannot be detected. There is a possibility that an abnormality has occurred in Mr. XX." Is displayed on the mobile terminal 4. As a result, when the first abnormal information is notified, the person concerned who operates the mobile terminal 4 can know that the subject may be abnormal.

In addition, in the example shown in Fig. 7 (b), "The biological data of Mr. XX cannot be detected. There is a possibility that an abnormality has occurred in Mr. XX. Immediately check the condition of Mr. XX. Please do. ”Is displayed. As a result, when the second abnormal information is notified, the person concerned who operates the mobile terminal 4 can know that the subject may be abnormal. Also, as mentioned above, the second abnormal information is notified when the subject is more likely to be abnormal. Therefore, as in the example shown in FIG. 7B, by displaying a message indicating that the subject is more likely to be abnormal than the first abnormal information, the person concerned is the subject. It becomes easier to rush to. As a result, when the subject actually has an abnormality in the living space S, it is suppressed that the subject is left unattended or lonely dies.

Furthermore, in the example shown in FIG. 7C, the message "There is no abnormality in Mr. XX" is displayed on the mobile terminal 4. As a result, for example, even after the message based on the first abnormal information is displayed, the person concerned can grasp that the subject has no abnormality.

Although the embodiments of the present invention have been described above, the technical scope of the present invention is not limited to the scope described in the above-described embodiments.
For example, the determination unit 313 of the server device 3 can obtain the acquired biometric data even when the biometric data is acquired at the predicted time (first predicted time, second predicted time) in steps 202 and 208 described above. If the value or the like is different from the predicted value information calculated from the history information, it may be determined that the subject is abnormal. For example, the determination unit 313 may determine that the subject is abnormal when the acquired biological data such as the heart rate during sleep is different from the predicted value information. In this case, the notification unit 315 sends "Mr. OO's heart rate seems to be higher (lower) than usual" to the mobile terminal 4 of the person concerned as abnormal information indicating the possibility that the subject is abnormal. You may display a message such as "Mr. may be in poor physical condition."

In addition, the notification unit 315 may notify different mobile terminals 4 of the information depending on the type of information to be notified and the like. As mentioned above, the second abnormal information is notified when the subject is more likely to be abnormal. Therefore, the notification unit 315 notifies the mobile terminal 4 of the subject's family as the mobile terminal 4 of the person concerned about the first abnormal information, while the mobile terminal of the person concerned about the second abnormal information. As 4, instead of the mobile terminal 4 of the subject's family, or in addition to the mobile terminal 4 of the subject's family, the mobile terminal 4 such as an employee of a medical institution or a facility in which the subject resides may be notified. In this case, when the subject actually has an abnormality in the living space S, the subject can be treated more quickly.

In the present embodiment, the mobile terminal 4 is illustrated as the notification destination of the information by the notification unit 315 of the server device 3, but the present invention is limited to this as long as the information notified by the notification unit 315 can be received. It's not a thing. The notification unit 315 may notify various information to a fixed terminal such as a personal computer installed in a house of the subject's family, a facility in which the subject resides, a medical institution, or the like.
In addition, the mobile terminal 4 or the fixed terminal that has received the information notified from the server device 3 presents the information to the persons concerned by displaying the messages as shown in FIGS. 7A to 7C, and also presents the information to the persons concerned by voice. Information may be presented by such means.

Further, the history information generation unit 311 may generate a plurality of patterns of history information according to, for example, the living conditions of the subject and the acquisition tendency of biometric data based on the living conditions. For example, the history information generation unit 311 may generate source information (biological data, time information) acquired for each of cases such as when the subject goes out, when the subject takes medicine, and when the subject sleeps multiple times in a unit period. ) May be used to generate a plurality of patterns of history information.
The history information generation unit 311 generates a plurality of patterns of history information according to the living conditions of the subject and the acquisition tendency of biological data based on the living conditions, and the determination unit 313 is based on the history information selected from the history information of the plurality of patterns. By determining the state of the subject, for example, it is possible to prevent the subject from being erroneously determined to be abnormal even though the subject is not abnormal.

Furthermore, in the present embodiment, the door opening / closing sensor 22 and the motion sensor 23 are exemplified as the sensors for acquiring the behavior data, but the present invention is not particularly limited as long as it can detect information on the behavior of the subject. In addition to the detection results of various sensors, information such as the operating state of lighting equipment, electronic devices, water heaters, etc. (for example, whether or not the power is turned on) may be used as action data.

Further, in the present embodiment, the biometric data and the time information detected by the bed sensor 21 of the detection unit 2 are transmitted to the server device 3, and the server device 3 generates the history information. For example, the detection unit 2 May generate history information and send the generated history information to the server device 3.

1 ... Information processing system, 2 ... Detection unit, 3 ... Server device, 4 ... Mobile terminal, 21 ... Bed sensor, 22 ... Door open / close sensor, 23 ... Human sensor, 27 ... Communication device, 31 ... Computing device, 33 ... Storage device, 35 ... Communication device, 211 ... Sensor unit, 212 ... Timekeeping unit, 311 ... History information generation unit, 313 ... Judgment unit, 315 ... Notification unit

Claims (8)

Biometric data acquisition means for acquiring biometric data in the subject's bedding,
A time information acquisition means for acquiring time information when acquiring the biometric data, and
A history information generating means for generating history information of the biometric data based on the time information and the biometric data, and
An output means for outputting abnormal information indicating the possibility that the subject is abnormal when the biometric data of the subject is not acquired at the predicted time expected to be acquired from the historical information. Information processing system to prepare. The information processing system according to claim 1, wherein the history information generating means generates information representing a time-series change of the biometric data in a predetermined unit period as the history information. The information processing system according to claim 2, wherein the history information generating means generates the history information based on the time information and the biometric data acquired in a plurality of the unit periods. A behavior data acquisition means for acquiring the behavior data of the subject in the living space provided in the living space in which the subject lives is further provided.
The output means is characterized in that it outputs the abnormal information when the biometric data cannot be obtained at the predicted time and when the behavior data is not acquired by the behavior data acquisition means. Item 1. The information processing system according to item 1. The claim is characterized in that the output means outputs the abnormal information even when the biometric data is acquired at the predicted time when the value of the biometric data is different from the historical information. The information processing system according to item 1. The information processing system according to claim 1, wherein the history information generation means generates a plurality of the history information according to the acquisition status of the biodata by the biodata acquisition means. The information processing system according to claim 1, wherein the history information generating means calculates a plurality of predicted times in the history information, which are different in the possibility that the subject is abnormal. On the computer
The ability to acquire biometric data on the subject's bedding and
A function to acquire time information when acquiring the biometric data, and
A function to generate historical information of the biometric data based on the time information and the biometric data, and
From the history information, when the biometric data of the subject is not acquired at the predicted time expected to be acquired, a function of outputting abnormal information indicating the possibility that the subject is abnormal is realized. Program to do.