JP7266792B2 - Information processing system and program - Google Patents

Description

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

As a prior art, in Patent Document 1, a sensor for measuring brain waves and body movement is attached to the wrist of a subject, and when the stop of body movement is detected, the stop of body movement is due to normal sleep or pathological. An automatic detection and notification system is disclosed that identifies whether the person is unconscious or not and issues a notification in the event of an emergency.

JP-A-2002-42277

By the way, as in the technique of Patent Document 1, when a subject wears a sensor or the like that acquires biological data such as body movement, the subject forgets to wear the sensor, or the subject feels uncomfortable with the sensor and removes the sensor. There are times when you feel tired. In addition, when the subject does not wear the sensor, it is impossible to detect an abnormality that has occurred in the subject, and it is difficult to promptly notify the subject of the condition of the subject.
An object of the present invention is to promptly notify a subject when the subject is abnormal while preventing the subject from feeling uncomfortable.

The invention according to claim 1 comprises biological data acquiring means for acquiring biological data on the bedding of a subject, time information acquiring means for acquiring time information when acquiring the biological data, and the time information and the biological data. history information generating means for calculating a first predicted time at which the biometric data of the subject is predicted to be acquired and a second predicted time after the first predicted time based on history information generated from the data; and outputting first abnormality information indicating the possibility that the subject is abnormal when the biological data of the subject is not acquired at the first predicted time , and the first predicted time and the second an output means for outputting second abnormality information indicating that the subject is more likely to be abnormal than the first abnormality information when the biological data of the subject is not acquired at both of the predicted times; An information processing system comprising
The invention according to claim 2 is characterized in that the history information generating means generates, as the history information, information representing a time series change of the biometric data in a predetermined unit period. information processing system.
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 obtained in a plurality of the unit periods. The information processing system described in .
The invention according to claim 4 is provided in a living space in which the subject resides, further comprising action data acquiring means for acquiring action data of the subject in the living space, wherein the output means outputs the first prediction When the biometric data is not obtained at the time and the behavior data is not obtained by the behavior data obtaining means, the first abnormality information is output, and the biometric data is obtained at the first prediction time. and when the behavior data is not obtained, and when the biometric data and the behavior data are not obtained at the second prediction time, the second abnormality information is output. 1. The information processing system according to 1.
In the invention according to claim 5, even when the biometric data is obtained at the first prediction time , if the value of the biometric data is different from the history information, the output means outputs the value of the biometric data. 1 abnormal information is output, and even if the biological data is acquired at the second prediction time, if the value of the biological data is different from the history information, the second abnormal information 2. The information processing system according to claim 1, which outputs
The invention according to claim 6 is characterized in that the history information generation means generates a plurality of pieces of history information according to the acquisition status of the biometric data by the biodata acquisition means. information processing system.
In the invention according to claim 7 , the computer has a function of acquiring biological data on the bedding of the subject, a function of acquiring time information when acquiring the biological data, and from the time information and the biological data A function of calculating a first predicted time at which the biometric data of the subject is predicted to be acquired and a second predicted time after the first predicted time based on the generated history information ; When the biological data of the subject is not acquired at the time , outputting first abnormality information indicating the possibility that the subject is abnormal, and outputting the first abnormality information at both the first predicted time and the second predicted time and a function of outputting second abnormality information indicating that there is a higher possibility of abnormality than the first abnormality information when the biological data of the subject is not acquired.

ADVANTAGE OF THE INVENTION According to this invention, when a test subject is abnormal, notification can be promptly performed, suppressing making a test subject feel uncomfortable.

It is a figure showing the whole information processing system composition to which this embodiment is applied. It is a figure which shows the functional structural example of the server apparatus with which this Embodiment is applied. It is the figure which showed an example of the biometric data and time information which are memorize|stored in a memory|storage device. It is the figure which showed an example of the historical information memorize|stored in a memory|storage device. 7 is a flowchart illustrating an example of a processing operation of history information generation processing executed by a server device; 10 is a flowchart illustrating an example of processing operations of determination processing executed by the server device; (a) to (c) are diagrams showing examples of messages displayed on the mobile terminal.

BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings.
FIG. 1 is a diagram showing the overall configuration of an information processing system 1 to which this embodiment is applied.
The information processing system 1 includes a detection unit 2 that is provided in a living space S where the subject resides and detects the subject's biological data, behavior, etc., and a server device that determines and notifies the subject's state based on the detection results, etc., of the detection unit 2. 3. A mobile terminal 4 operated by a person related to the subject is connected through the Internet 10 .
Here, the persons related to the subject include, for example, the subject's family, a home helper who visits the subject's home, an employee of the facility where the subject resides, an employee of a 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 there may be a plurality of them.

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 opening and closing of a door provided in the living space S, and one or a plurality of living rooms that constitute the living space S. and a human sensor 23 for detecting the presence or absence of the subject. The detection signal from the door opening/closing sensor 22 and the detection signal from the human sensor 23 correspond to the behavior data of the subject in the living space S.
The detection unit 2 also includes a communication device 27 that realizes 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 using the communication device 27 .

The bed sensor 21 includes a sensor unit 211 capable of non-contact measurement of biometric data of a sleeping person, and a clock unit 212 that acquires time information.
As the sensor unit 211, there is 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 minute vibrations. Note that 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 rolling over as biometric data. The sensor unit 211 also detects that a person has entered the bedding and that a person has exited the bedding.

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

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

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

The human detection sensor 23 detects whether or not the subject is present in each living room including the bedroom and the bathroom of the living space S. As the human sensor 23, for example, a passive infrared sensor that detects the presence of the subject by receiving infrared rays emitted from the subject, or a subject that detects the presence of the subject by blocking the infrared rays emitted into the living room by the subject. An active type 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 human sensor 23 transmit detection signals to the server device 3 via the communication device 27 at the timing when a predetermined event is detected for each sensor. do. For example, the door opening/closing sensor 22 transmits a detection signal to the server device 3 when detecting an operation of opening and closing the door by the subject. Further, when the human sensor 23 detects that the subject is present in the living room, the human sensor 23 transmits the detection signal to the server device 3 .

The server device 3 has a function of collecting the detection results of the sensors constituting the detection unit 2 and generating history information of biometric data. The server device 3 also has a function of judging the condition of the subject based on the history information and notifying the mobile terminal 4 of the person concerned when it is judged that the condition of the subject is abnormal. The configuration of the server device 3 will be explained in detail later.
The mobile terminal 4 is an information device including a display unit that displays information and a communication unit that communicates with other devices, such as a smartphone, a tablet terminal, or a notebook computer.

FIG. 2 is a diagram showing a functional configuration example of the server device 3 to which this embodiment is applied.
The server device 3 is a so-called computer, and performs communication between an arithmetic device 31 that executes application programs, a storage device 33 that stores various data, and other devices that make up the information processing system 1 (see FIG. 1). and a bus 37 connecting them.
The arithmetic unit 31 includes a CPU (=Central Processing Unit), a ROM (=Read Only Memory) storing BIOS (=Basic Input Output System), etc., 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.

Arithmetic device 31 determines the condition of a subject through execution of an application program by a CPU (not shown), and outputs determination results.
Arithmetic device 31 includes a history information generating unit 311 that generates history information of biological data based on biological data and time information, and a determination unit 313 that determines the state of the subject based on the detection result of detection unit 2 and the history information. , and functions as a notification unit 315 that notifies the determination result of the determination unit 313 . Each function of history information generation unit 311, determination unit 313, and notification unit 315 is realized through execution of an application program.

The history information generation unit 311 is an example of biometric data acquisition means, time information acquisition means, and history information generation means. The history information generation unit 311 generates history information of biometric data per unit period based on the 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. This is associated information. Based on the biometric data and the time information acquired in a predetermined unit period, the history information generation unit 311 calculates a predicted time at which the biometric data is expected to be acquired, and generates history information.

In the description of the present embodiment, the biometric data history information per unit period may be referred to as "biometric data history information" or simply "history information." Also, the biometric data and time information acquired in a predetermined unit period, which are used by the history information generation unit 311 to generate history information, may be referred to as "originator information".
Details of the history information and history information generation processing by the history information generation unit 311 will be described later with specific examples.

The determination unit 313 determines the state of the subject living in the living space S based on the history information of the biological data generated by the history information generation unit 311 and the detection results of the sensors of the detection unit 2 (see FIG. 1). judge. In addition, the determination unit 313 determines that the subject may be abnormal based on the history information, for example, when the biological data of the subject is not acquired at the predicted time when the biological data is expected to be acquired. . It should be noted that the determination processing of the state of the subject by the determination unit 313 will be described later with a specific example.

The notification unit 315 notifies related parties of information regarding the subject's condition based on the determination result of the determination unit 313 . In addition, when the determination unit 313 determines that the subject may be abnormal, the notification unit 315 notifies the portable terminal 4 operated by the person concerned of information regarding the subject's condition. This makes it possible for the concerned parties to know the condition of the subject, and for example, when the subject falls into a state such as cardiopulmonary arrest, the subject is prevented from being left alone for a long period of time. It should be noted that the content of the notification by the notification unit 315 will be described later with specific examples.
In the present embodiment, determination unit 313 and notification unit 315 are examples of output means and action data acquisition means.

The storage device 33 is a device that reads and writes data in a nonvolatile rewritable storage medium, and is composed of, for example, a hard disk device, a semiconductor memory, or the like. In 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.

In the storage device 33 of the present embodiment, the biological data and time information acquired from the bed sensor 21 of the detection unit 2, the history information generated by the history information generation unit 311 of the arithmetic device 31, the subject identifying Various data such as identification information and contact information of persons concerned are stored.
The various data stored in the storage device 33 are stored by the number of subjects using the information processing system 1, and are managed by IDs (Identifiers) used for subject management.

The identification information is information such as the subject's name, address, age, sex, and physique, for example. As the address, for example, the address of the living space S where the subject lives or the address of the facility where the subject resides is recorded. For the physique, physical features such as height, fatness, thinness, medium build and medium height are recorded.
For example, the phone number and e-mail address of the mobile terminal 4 (see FIG. 1) operated by the person concerned are recorded as the contact information of the person concerned.

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

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

FIG. 4 is a diagram showing an example of history information stored in the storage device 33. As shown in FIG. 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 that chronologically represents the biometric data acquired in a unit period (in this example, one day), and includes the biometric data and the biometric data acquired by the bed sensor 21. , and the predicted time predicted to be associated with each other. Although details will be described later, in the present embodiment, history information is generated based on source information (biological data and time information) acquired during a plurality of unit periods (several days in this example).

As shown in FIG. 4, the history information of the present embodiment includes, when the subject enters the bedding (in FIG. 4, it is written as "bed") and when the subject starts sleeping (in FIG. 4, " ), when the subject wakes up (in FIG. 4, it is denoted as "sleep end"), and when the subject leaves the bedding (in FIG. 4, it is denoted as "getting out of bed"). Each includes a predicted time when the bed sensor 21 is predicted to detect.

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

Furthermore, the history information of the present embodiment includes predicted value information, which is the biometric data value predicted to be acquired by the bed sensor 21 . In this example, the history information includes, as predicted value information, predicted values of the pulse rate, respiration rate, and body movement rate that are predicted to be obtained while the subject is sleeping. The predicted value information is, for example, the biometric data (pulse rate, respiration rate, body movement rate) acquired while the subject is sleeping in the generator information of a plurality of unit periods that are the basis of the history information. It can be the average of the values.

Next, a history information generation process performed by the server device 3 will be described. FIG. 5 is a flowchart for explaining an example of the processing operation of the history information generation processing 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 subject's biological data and time information acquired by the bed sensor 21 . As described above, the detection unit 2 transmits the biological data and the time information acquired by the bed sensor 21 to the server device 3 in predetermined time units (1 minute units).

When server device 3 receives new biometric data and time information, it stores the received biometric data and time information in storage device 33 (see FIG. 2) (step 101). In the case of this embodiment, as shown in FIG. 3, biometric data and 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, if the predetermined unit period has not passed (NO in step 102), the server device 3 continues the process of storing the biometric data and the time information.

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

On the other hand, when generation source information for a plurality of predetermined unit periods is collected (YES in step 103), the history information generation unit 311 of the server device 3 generates unit History information is generated in which the biometric data acquired during the period is represented in chronological order (step 104).
Specifically, the history information generation unit 311 calculates a predicted time at which the biometric data is expected to be acquired based on the biometric data in each source information and the time information at which the biometric data was acquired. In this example, as described above, the history information generator 311 calculates the first predicted time and the second predicted time for each of bed rest, sleep start, sleep end, and getting out of bed as predicted times. The history information generation unit 311 also calculates the predicted values of the pulse rate, respiration rate, and body movement rate of the sleeping subject as the predicted value information of the biological data, based on the biological 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 the series of history information generation processing.
Note that the server device 3 may continue to acquire the biometric data and the time information even after storing the history information generated by the history information generation unit 311 in the storage device 33 . Then, the history information generator 311 may update the history information stored in the storage device 33 based on the acquired biometric data and time information each time a predetermined unit period elapses.

Next, the process of judging the condition of the subject performed by the server device 3 will be described. FIG. 6 is a flowchart for explaining an example of the processing operation of the determination processing executed by the server device 3. As shown in FIG. It should be noted that the process of determining the state of the subject described below may be performed in parallel with the process of generating the history information described above.
As described above, the detection unit 2 transmits the biological data acquired by the bed sensor 21 or a signal indicating that the biological data is not detected to the server device 3 in predetermined time units.

In the server device 3, the determination unit 313 determines whether or not the current time is the first predicted time based on the history information stored in the storage device 33 (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.

If the current time is the first predicted time (YES in step 201 ), the determination unit 313 determines that the biometric data predicted to be obtained by the bed sensor 21 at the first predicted time is received from the detection unit 2 . It is determined whether or not it has been acquired (step 202). For example, the determination unit 313 determines whether or not biological data indicating that the subject has entered the bedding has been acquired from the detection unit 2 .
Then, when biometric data predicted to be obtained 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 this embodiment, when the determination unit 313 determines that the subject is normal in step 203, the notification unit 315 does not perform the notification, but the person concerned is notified that the subject is normal. You may also go to the terminal 4 (see FIG. 1) or the like.

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

If no detection signal is acquired from a sensor other than the bed sensor 21 (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 abnormality information indicating the possibility that the subject is abnormal (step 206). Note that the first abnormality information notified by the notification unit 315 will be described later with a specific example.

Next, the determination unit 313 of 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 (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.

If the current time is the second predicted time (YES in step 207 ), the determination unit 313 determines that the biometric data predicted to be obtained by the bed sensor 21 at the second predicted time is received from the detection unit 2 . It is determined whether or not it has been acquired (step 208).
Then, when biometric data predicted to be obtained at the second predicted time is obtained (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 terminates the series of processes. Here, in the present embodiment, the first abnormality information is notified in step 206 when biometric data and other detection signals are not acquired at the first predicted time. Therefore, by notifying the normal information again in step 210, the concerned parties can accurately grasp the condition of the subject. Note that the normal information notified by the notification unit 315 will be described later with specific examples.

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

On the other hand, when no detection signal is acquired from sensors other than the bed sensor 21 (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 abnormality information indicating the possibility that the subject is abnormal (step 213), and terminates the series of processes.
As described above, the second predicted time is the time at which the corresponding biometric data is acquired in the generation source information of all unit periods that are the sources of the history information. Therefore, if the biometric data cannot be acquired at the second predicted time, it is estimated that the subject is more likely to be abnormal. Therefore, it is preferable that the second abnormality information notified in step 213 should indicate that the subject is more likely to be abnormal than the first abnormality information.

Next, 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 terminals 4 of the concerned parties and the like of the first abnormality information, the second abnormality information, and the normal information (steps 206, 210, 213).
The portable terminal 4 that has received the notification displays the notified information on the display unit. Information is displayed, for example, as a message.

7A to 7C are diagrams showing examples of messages displayed on the mobile terminal 4. FIG. FIG. 7(a) shows an example of a message displayed when the first abnormality information is notified. Also, FIG. 7B shows an example of a message displayed when the second abnormality information is notified. Further, FIG. 7(c) shows an example of a message displayed when normal information is notified. Here, the test subject is "Mr.
In the example shown in FIG. 7(a), a message is displayed on the mobile terminal 4 stating "Mr. XX's biometric data cannot be detected. There is a possibility that XX has an abnormality." Thereby, when the first abnormality information is notified, the person who operates the portable terminal 4 can know that the subject may be abnormal.

Also, in the example shown in Fig. 7(b), the mobile terminal 4 says, "We cannot detect Mr. XX's biometric data. There is a possibility that Mr. XX has an abnormality. Please." message is displayed. Accordingly, when the second abnormality information is notified, the person who operates the mobile terminal 4 can know that the subject may be abnormal. Also, as described above, the second abnormality information is notified when it is estimated that 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 abnormality information, the concerned parties can It becomes easier to run to. As a result, when the subject actually has an abnormality in the living space S, the subject is prevented from being left alone or dying alone.

Furthermore, in the example shown in FIG. 7(c), the portable terminal 4 displays the message "Mr. As a result, even after the message based on the first abnormality information is displayed, the concerned parties can understand 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, even if biometric data is acquired at the prediction time (first prediction time, second prediction time) in steps 202 and 208 described above, If the value or the like differs from the predicted value information calculated from the history information, it may be determined that the subject is abnormal. For example, the determining unit 313 may determine that the subject is abnormal when the heart rate during sleep or the like as the acquired biometric data is different from the predicted value information. In this case, the notification unit 315 sends the relevant person's mobile terminal 4 "Mr. XX's heart rate seems to be higher (lower) than usual. may be in poor physical condition." or the like may be displayed.

In addition, the notification unit 315 may notify different mobile terminals 4 of information according to the type of information to be notified. As described above, the second abnormality information is notified when it is estimated that 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 related person's mobile terminal 4 about the first abnormality information, while notifying the related person's mobile terminal about the second abnormality information. 4, instead of or in addition to the mobile terminal 4 of the subject's family, the notification may be sent to the mobile terminal 4 of an employee of a medical institution or facility where the subject resides. 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 portable terminal 4 is exemplified as the destination of information notification by the notification unit 315 of the server device 3, but if it is possible to receive the information notified by the notification unit 315, it is limited to this. not a thing The notification unit 315 may, for example, notify various information to a fixed terminal such as a personal computer installed in a subject's family's residence, a facility where 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 relevant parties, etc. by displaying messages as shown in FIGS. The information may be presented by, for example.

Furthermore, the history information generation unit 311 may generate a plurality of patterns of history information according to, for example, the subject's living situation and the biometric data acquisition tendency based thereon. For example, the history information generation unit 311 generates source information (biological data, time information, etc.) acquired for each of cases such as when the subject goes out, when the subject takes medicine, when the subject sleeps multiple times in a unit period, and so on. ), multiple patterns of history information may be generated.
The history information generation unit 311 generates a plurality of patterns of history information according to the subject's living situation and the acquisition tendency of biometric data based thereon. By determining the subject's condition, 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 human sensor 23 are used as sensors for acquiring behavior data, but the sensors are not particularly limited as long as they can detect information about the behavior of the subject. In addition to detection results from various sensors, information such as operating states (for example, whether or not the power is turned on) of lighting fixtures, electronic devices, water heaters, etc. may be used as behavior data.

Furthermore, in the present embodiment, the biological data and 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 history information. may generate the history information and transmit the generated history information to the server device 3 .

DESCRIPTION OF SYMBOLS 1... Information processing system, 2... Detection part, 3... Server apparatus, 4... Portable terminal, 21... Bed sensor, 22... Door open/close sensor, 23... Human sensor, 27... Communication device, 31... Arithmetic device, 33... Storage device 35 Communication device 211 Sensor unit 212 Clock unit 311 History information generation unit 313 Judgment unit 315 Notification unit

Claims (7)

a biometric data acquiring means for acquiring biometric data on the subject's bedding;
a time information acquiring means for acquiring time information when acquiring the biometric data;
Based on the history information generated from the time information and the biological data, a first predicted time at which the biological data of the subject is predicted to be acquired and a second predicted time after the first predicted time history information generating means for calculating ;
When the biological data of the subject is not acquired at the first predicted time , outputting first abnormality information indicating the possibility that the subject is abnormal, and outputting the first predicted time and the second predicted time and an output means for outputting second abnormality information indicating that the possibility of abnormality is higher than that of the first abnormality information when the biological data of the subject is not acquired for both of Information processing system. 2. The information processing system according to claim 1, wherein said history information generating means generates information representing a time series change of said biometric data in a predetermined unit period as said history information. 3. The information processing system according to claim 2, wherein said history information generating means generates said history information based on said time information and said biometric data obtained in a plurality of said unit periods. further comprising behavior data acquisition means provided in a living space where the subject resides and acquiring behavior data of the subject in the living space;
The output means outputs the first abnormal information when the biometric data is not obtained at the first prediction time and when the behavior data is not obtained by the behavior data obtaining means , When the biometric data and the behavior data are not obtained at the first prediction time and when the biometric data and the behavior data are not obtained at the second prediction time, the second abnormality information is provided. 2. The information processing system according to claim 1, wherein the information is output . The output means outputs the first abnormality information when the value of the biometric data differs from the history information even when the biometric data is acquired at the first prediction time , Even if the biometric data is acquired at the second predicted time, if the value of the biometric data is different from the history information, the second abnormality information is output. Item 1. The information processing system according to item 1. 2. The information processing system according to claim 1, wherein said history information generating means generates a plurality of pieces of said history information according to the acquisition status of said biometric data by said biometric data acquiring means. to the computer,
A function to acquire biological data on the subject's bedding,
a function of acquiring time information when acquiring the biometric data;
Based on the history information generated from the time information and the biological data, a first predicted time at which the biological data of the subject is predicted to be acquired and a second predicted time after the first predicted time a function to calculate ;
When the biological data of the subject is not acquired at the first predicted time , outputting first abnormality information indicating the possibility that the subject is abnormal, and outputting the first predicted time and the second predicted time When the biometric data of the subject is not acquired in both of program.

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