JP7405357B2 - Elderly person monitoring system - Google Patents

Description

The present invention relates to a monitoring system for elderly people, and particularly to a monitoring system suitable for encouraging elderly people living alone to take action and ascertaining and activating their health status.

Conventionally, as a monitoring system for the elderly, a sensor is installed in the home of the elderly, etc., and the sensor detects the behavior of the elderly. There was one that sent email notifications to people such as my daughter.

Furthermore, as a safety confirmation service, a system is known in which a safety confirmation device is installed in the home of a person to be watched over, such as an elderly person living alone, and the safety confirmation device notifies family members of the selected actions of the person to be watched over. With this safety confirmation device, buttons representing the actions of the person being watched are displayed on the device's touch panel, and when the person being watched selects the appropriate button during an activity such as eating or going out, notification information corresponding to the selected item is displayed. An email is generated and sent to an information terminal such as a family member of the person being watched over. A family member or the like who received an email containing this notification information was able to grasp the actions of the person being watched over in real time even if they were far away (Patent Document 1).

Another example is to have the person being observed wear a short-range communication device such as an activity meter, and use a safety information receiving and transmitting device placed in the toilet to detect the person's short-range communication device and use the device to go to the toilet. One example is one that determines whether a person enters or leaves a room and notifies the person watching the safety information (Patent Document 2).

Another example is a home health management system that monitors the health condition of elderly people living alone (Patent Document 3).

Japanese Patent Application Publication No. 2015-146085 JP 2017-27574 Publication Japanese Patent Application Publication No. 2007-135859

However, in these Patent Documents 1 to 3, the devices only notify the current situation, but do not actively talk to the elderly or encourage them to take action, but are devices for checking the current state of health.

An object of the present invention is to provide a system for monitoring elderly people, etc., which can actively talk to elderly people, urge them to take action, and understand and activate their health status.

In order to solve the above problems, the present invention provides the following elderly person monitoring system. That is, as a first invention, there is provided a connection section that connects to acquire body data, a body data acquisition section that acquires the body data in a connected state, and a plurality of body data that are acquired and previously acquired. A history body data holding unit for holding, a body data output unit for outputting the held body data, a connection detection unit for detecting the connection, a conversation data holding unit for holding a plurality of conversation data, and a connection detection unit. a conversation data selection unit that selects the conversation data held when the device detects a connection; a conversation data output unit that outputs the selected conversation data within a predetermined time after the connection;
This is a monitoring system for elderly people, etc. (corresponding to claim 1).

In addition to the above characteristics, the conversation data selection section is a monitoring system for elderly people, etc., which has an acquired body data dependent conversation data selection means for selecting conversation data based on the acquired body data (corresponding to claim 2).

In addition to the above characteristics, the conversation data selection section is a system for monitoring elderly people, etc., which has a holding body data dependent conversation data selection means for selecting conversation data based on held body data (corresponding to claim 3).

In addition to the above characteristics, an image data holding section that holds a plurality of image data, an image data selection section that selects the held image data when the connection detection section detects a connection, and the selected image data are connected. and an image data output unit that outputs image data within a predetermined time from the image data output unit (corresponding to claim 4).

In addition to the above characteristics, the image data selection section is a system for monitoring elderly people, etc., which has an acquired body data dependent image data selection means for selecting image data based on acquired body data (corresponding to claim 5).

In addition to the above features, the image data selection section is a system for monitoring elderly people, etc., which has a holding body data dependent image data selection means for selecting image data based on held body data (corresponding to claim 6).

In addition to the above features, there is a communication unit that communicates via the Internet, a data acquisition unit that acquires conversation data and/or image data via the communication unit, and a conversation data storage unit that stores the acquired conversation data and/or image data. and/or a data recording section for recording in an image data holding section (corresponding to claim 7).

In addition to the above-mentioned features, a photographing/recording section for photographing and/or recording an image and/or sound near the front of the audio output device or image output device constituting the conversation data output section and/or the image data output section; This is a monitoring system for the elderly, etc., comprising: a photographing/recording holding unit that holds recorded images and/or sounds; and a photographing/recording output unit that outputs the held images and/or sounds via a communication unit. (Corresponding to claim 8).

In addition to the above-mentioned characteristics, the conversation data and/or image data held are associated with attribute information for selection, and the conversation data and/or image data are associated with conversation data and/or image data according to the associated attribute information. This is a monitoring system for elderly people, etc., which is selected by a data selection section and/or an image data selection section (corresponding to claim 9).

In addition to the features described above, the system for monitoring elderly people, etc. further includes an attribute association unit that analyzes acquired conversation data and/or acquired image data and associates attribute information with each other (corresponding to claim 10).

In addition to the above-mentioned features, the present invention is a monitoring system for elderly persons, etc., which further includes a body data acquisition device that acquires body data from the body (corresponding to claim 11).

As a second invention, a connection detection step of detecting a connection with a body data acquisition device; a body data acquisition step of acquiring body data from the body data acquisition device when a connection is detected in the connection detection step; A body data recording step that records the body data acquired in the body data acquisition step, a conversation data selection step that selects retained conversation data when a connection is detected in the connection detection step, and a conversation data selection step. a conversation data output step of outputting the conversation data selected by the user within a predetermined time after connection.

As a third invention, a connection detection step for detecting a connection with a body data acquisition device, a body data acquisition step for acquiring body data when a connection is detected in the connection detection step, and a body data acquisition step for acquiring body data. a body data recording step of recording the acquired body data;

a conversation data selection step for selecting conversation data held when a connection is detected in the connection detection step; and a conversation data output step for outputting the conversation data selected in the conversation data selection step within a predetermined time after connection. An operation program for a monitoring system for the elderly, written in a manner readable and executable by a monitoring system for the elderly, which is a computer having the following.

According to the above-described configuration, it is possible to provide a monitoring system for elderly people, etc., which can actively talk to elderly people, urge them to take action, and understand and activate their health status.

Functional block diagram of the elderly monitoring system of Embodiment 1 A diagram showing an example of an image interface screen in the elderly person monitoring system of Embodiment 1 Diagram showing examples of diseases and conditions that can be prevented by brisk walking (results of Nakanojo research) A diagram showing an example of conversation data in the elderly monitoring system of Embodiment 1 A diagram showing an example of an image interface screen (questionnaire screen) in the elderly person monitoring system of Embodiment 1 Graph of the amount of activity of the elderly in the elderly monitoring system of Embodiment 1 A diagram showing an example of a dementia prevention quiz in the elderly monitoring system of Embodiment 1 A diagram showing an example of inputting conversation data in the elderly person monitoring system according to Embodiment 7 Hardware configuration diagram of the elderly monitoring system of Embodiment 1 Processing flowchart of the elderly monitoring system according to the first embodiment Functional block diagram of the elderly monitoring system according to Embodiment 2 Hardware configuration diagram of the elderly monitoring system according to Embodiment 2 Processing flowchart of the elderly monitoring system according to the second embodiment Functional block diagram of the monitoring system for the elderly according to Embodiment 3 Hardware configuration diagram of the elderly monitoring system of Embodiment 3 Processing flowchart of the elderly monitoring system according to Embodiment 3 Functional block diagram of the elderly monitoring system according to the fourth embodiment Hardware configuration diagram of the elderly monitoring system according to Embodiment 4 Processing flowchart of the elderly monitoring system according to the fourth embodiment Functional block diagram of the elderly monitoring system according to the fifth embodiment Hardware configuration diagram of the elderly monitoring system of Embodiment 5 Processing flowchart of the elderly monitoring system according to the fifth embodiment Functional block diagram of the elderly monitoring system according to the sixth embodiment Hardware configuration diagram of the elderly monitoring system of Embodiment 6 Processing flowchart of the elderly monitoring system according to the sixth embodiment Functional block diagram of the elderly monitoring system according to Embodiment 7 Hardware configuration diagram of the elderly monitoring system according to Embodiment 7 Processing flowchart of the elderly monitoring system according to the seventh embodiment Functional block diagram of the monitoring system for the elderly according to Embodiment 8 Hardware configuration diagram of the elderly monitoring system of Embodiment 8 Processing flowchart of the elderly monitoring system according to Embodiment 8 Functional block diagram of the monitoring system for the elderly according to Embodiment 9 Hardware configuration diagram of the monitoring system for the elderly of Embodiment 9 Functional block diagram of the monitoring system for the elderly according to Embodiment 10 Hardware configuration diagram of the monitoring system for the elderly according to Embodiment 10 Processing flowchart of the elderly monitoring system according to Embodiment 10 Functional block diagram of the elderly monitoring system according to Embodiment 11 Hardware configuration diagram of the elderly monitoring system according to Embodiment 11 External view of the activity meter of the embodiment Processing flowchart of the monitoring system for the elderly according to the ninth embodiment

Embodiments of the present invention will be described below with reference to the accompanying drawings. Note that the present invention should not be limited to these embodiments in any way, and may be implemented in various forms without departing from the spirit thereof.

Note that the functional blocks of the present device described below can be realized as a combination of hardware and software. Specifically, if a computer is used, the CPU (central processing unit), main memory, system bus, or secondary storage device (hard disk drive, non-volatile memory, storage media such as CDs and DVDs, and such media) hardware components such as input devices used for information input, display devices, and other external peripheral devices, such as tablet PCs, touch input computers, personal computers, desktop computers, notebook computers, Smartphone, touch panel display, hard disk, microphone, speaker, activity meter (pedometer), thermometer, blood pressure monitor, pulse meter, weight scale, acceleration sensor, blood glucose meter, pulse oximeter (oxygen concentration meter), respiration meter, Sweat measurement devices, interfaces for printers and their external peripheral devices, communication interfaces, touch input interfaces, image input interfaces, mouse input interfaces, display interfaces, IC card input interfaces, keyboard input interfaces, audio input/output interfaces, AI speaker interfaces , mobile phone/smartphone interfaces, intercom interfaces, driver programs and other application programs for controlling these hardware, and user interface applications. Then, through the arithmetic processing of the CPU according to the program developed on the main memory, the data input from input devices and other interfaces, etc. and held on the memory and hard disk are processed and accumulated, and the data etc. Instructions for controlling software are generated. Alternatively, the functional blocks of this device may be realized by dedicated hardware. Furthermore, the present device is not limited to being configured by one piece of hardware or software, but may be configured by a combination of multiple pieces of hardware or software, or may include a server device via a network.

Further, the present invention can be realized not only as an apparatus but also as a method. Moreover, a part of such an invention can be configured as software. Furthermore, a program used to cause a computer to execute such software and a recording medium on which the program is fixed are naturally included in the technical scope of the present invention (the same applies throughout this specification).

Here, each part of the elderly monitoring system may be realized by one piece of hardware, or history data may be stored in a server or cloud.
<Embodiment 1>
<Embodiment 1 Overview>

When the elderly person monitoring system of Embodiment 1 detects the connection of a body data acquisition device, it outputs conversation data and talks to the elderly person to urge them to take action, thereby understanding the health status of the elderly person and activating them. It was designed to make it possible to
<Embodiment 1 Configuration>

As shown in FIG. 1, the elderly monitoring system 0100 of the first embodiment includes a connection section 0101, a body data acquisition section 0102, a history body data storage section 0103, a body data output section 0104, and a connection detection section 0105. , a conversation data holding section 0106 , a conversation data selection section 0107 , and a conversation data output section 0108 .
<Embodiment 1 Description of configuration>
<Embodiment 1 Elderly person monitoring system>

The elderly monitoring system of Embodiment 1 includes a tablet PC, a touch input computer, a personal computer, a desktop computer, a notebook computer, a smartphone, various computers connected to a touch panel display, a client-server type computer system, and a cloud computer. It can be realized on a network configured with various computer terminals via a network.

Here, the elderly include elderly people, elderly people living alone, physically disabled people living alone, intellectually disabled people living alone, and the like.
<Embodiment 1 Connection part>

A “connection unit” 0101 connects to a body data acquisition device to acquire body data. For example, body data is acquired by connecting an activity meter as shown in FIG. 39 to a tablet PC (not shown) or the like.
Examples of the form of the activity meter include bracelets, rings, necklace types, and the like.
Elderly people may wear the device all the time, and body data may be acquired without removing it even while taking a bath.
In the case of an activity meter, the number of steps walked, the number of brisk walks, calories burned, etc. by an elderly person can be obtained from the activity meter. The connection unit 0101 can be wired or wireless, and in the case of wired connection, the tablet PC and the activity meter are connected with a communication cable. In the case of wireless communication, non-contact connections such as short-range wireless communication such as Bluetooth (registered trademark), NFC, and RF communication (limiting radio waves to a range of several cm to 10 cm) can be used. For example, by providing a port (data acquisition unit) on a tablet PC or smartphone cradle by connecting it with a USB cable, body data can be acquired by simply holding an activity meter over the port. At this time, it is desirable to obtain ID information (identification information) for specifying (identifying) the elderly person etc. at the time of obtaining the body data. This is because it can be used to analyze the amount of activity of elderly people, etc. It is desirable that the port and the activity meter be paired in advance, so that elderly people or the like can use them without making any settings. Body data acquisition devices include thermometers, blood pressure monitors, pulse meters, weight scales, acceleration centers, blood glucose meters, pulse oximeters (oxygen concentration meters), respiration meters, sweat meters, and the like.

Figure 3 shows the results of Nakanojo's research using a physical activity meter. (2014. KAO Healthcare Report, pp. 7-9, Scientific elucidation of the characteristics of daily physical activity and health of elderly people. Results of Nakanojo research using a physical activity meter. Yukitoshi Aomasu) As shown in Figure 3, normal There is evidence that a combination of walking and brisk walking (moderate exercise) can prevent diseases and conditions in the elderly. By utilizing this result in the present monitoring system for the elderly, we will use an activity meter to understand the health status of the elderly and encourage them to be more active.
<Embodiment 1 Body data acquisition unit>

The “body data acquisition unit” 0102 acquires body data in a connected state. In addition to activity meter data, body data includes vital data such as blood pressure data, pulse oximeter data, weight data, blood sugar level data, pulse rate data, sweat rate data, and breathing rate data. Body data may be acquired from a device that cannot be worn on the body, for example, by transferring weight data measured with a scale to an activity meter, or by storing it in a server or cloud, and performing this at the time of body data acquisition. Alternatively, body data may be obtained by talking to an elderly person or the like from this monitoring system and asking them to step on a scale.
<Embodiment 1 History body data holding unit>

The “history body data holding unit” 0103 holds a plurality of body data acquired by the body data acquisition unit 0102 and body data acquired in the past. The historical body data holding unit 0103 holds a plurality of body data acquired this time and body data acquired in the past as historical body data, and is used to continuously understand and analyze the health status of elderly people as shown in FIG. It can be used for Further, the historical data may be stored on a server or cloud via the Internet.
<Embodiment 1 Body data output unit>

The “body data output unit” 0104 outputs the body data held in the history body data holding unit 0103. For example, the body data output unit outputs body data in the form of text, audio, images, etc. on a display, outputs audio through a speaker, or sends it to family members (daughters, sons, etc.) who are located far away via the Internet. Can be sent. Physical data output is provided via the web, email, or a dedicated app, and is sent to family members' smartphones, tablet PCs, computers, etc.
<Embodiment 1 Connection detection unit>

A “connection detection unit” 0105 detects connection with a body data acquisition device. The connection detection unit 0105 detects a connection when an activity meter as a body data acquisition device is held over a port (not shown) in the state of the screen of the elderly monitoring system as shown in FIG. 2(A). If there is no elderly person within the area, disconnection may be detected. FIG. 2(A) shows the display state in the morning, and the screen as shown in FIG. 2(B) is displayed at bedtime. In the examples in Figures 2(A) and (B), there was only one display screen, but as in Figures 5(A) and (B), two screens can be displayed at the same time, or the left and right screens can be displayed sequentially. May be displayed.
<Embodiment 1 Conversation data holding unit>

The “conversation data holding unit” 0106 holds a plurality of conversation data. An example of conversation data is shown in FIG. For example, in the example in Figure 4 (A), "I am taking more than 4,000 steps and walking fast for more than 5 minutes every day, so I am preventing depression!", and in the example in Figure 4 (B), "Recently , ``The number of fast walking steps has been decreasing. Are you feeling unwell?'' In the example in Figure 4 (C), ``I'm a little worried because the number of steps I've been walking at has increased. Conversations such as "Let's try it!" are preserved. The conversation data holding unit 0106 may store the conversation data in association with attribute information such as the name, personal information, hobbies, preferences, area of residence, family address, conversation history, etc. of the elderly person.
<Embodiment 1 Conversation data selection section>

The “conversation data selection unit” 0107 selects conversation data held when the connection detection unit 0105 detects a connection with the body data acquisition device. When the connection detection unit 0105 detects the connection of an activity meter or the like, the conversation data selection unit 0107 selects conversations as shown in FIGS. 4(A), (B), and (C). Alternatively, conversation data may be selected when an elderly person or the like touches a button on the questionnaire screen shown in FIG. 5 with their hand. On the questionnaire screen, a dementia prevention quiz as shown in FIG. 7 may be asked to stimulate the elderly and the like.

Criteria for selecting conversation data include, for example, seasons such as Children's Day, Respect for the Aged Day, autumn, and winter on the calendar, attribute information of the elderly, etc. as described above, and user databases such as conversation history with the elderly. The body data obtained, the news of the day, the weather, etc. are used.

In addition, if this system is installed in a place where multiple elderly people, etc. live, this system will identify which elderly person is currently connected by connecting with the body data acquisition device, and connect the system. Preferably, the device is configured so that conversation data suitable for the elderly person can be selected. Therefore, in such a case, the history body data holding unit 0103 is configured to hold body data for each elderly person or the like.

Furthermore, in such cases of multiple residences, if the connection of the body data acquisition device of another elderly person, etc. is detected while the conversation with the first elderly person is continuing, the body data acquisition device is connected after a delay. For elderly people, etc., it is preferable to select conversation data so that they can wait a little while. For example, it is possible to select a conversation such as "Mr. . . . , please wait a moment." or "Mr. . . . Good morning. Please wait a moment." Note that in such a case, since the name is embedded in the conversation data, it is preferable to configure a configuration such that a part of the conversation data is synthesized during the conversation data selection process. From this perspective, the selection of conversation data includes a process of combining it with other conversation data, accumulated word data, and conversation data and word data obtained from outside via a network. Good too.
<Embodiment 1 Conversation data output unit>

The "conversation data output unit" 0108 outputs the selected conversation data within a predetermined time after connection with the body data acquisition device. When the conversation data output unit 0108 receives a connection from an elderly person, etc., the conversation data output unit 0108 outputs conversation data selected based on conversation data selection criteria within a predetermined time (for example, within 3 seconds (preferably within 1 second)) from the connection. do. The output format is by displaying characters and images on a display screen, or by outputting audio from a speaker. Voices of family members (daughter, son, etc.), caregivers, and friends can be recorded and used. For recording, it is possible to record text data by outputting it to the display and having the user read it aloud. Then, the recorded voice can be stored in association with the conversation identification information associated with the text data, and the recorded voice can be output in accordance with the selection of the conversation identification information. It is also possible to instruct a speaker to make a predetermined utterance instruction, and to imitate the speaker's voice to convert the text into speech. In this case, it is flexible because it is possible to have a conversation in the voice of the speaker in response to flexible changes to the text, and it is efficient because there is no need to have the speaker read the text each time. When the monitoring system and the body data acquisition device are connected, it is possible to play catch, and it is possible to realize a system that allows elderly people to feel a sense of closeness with people close to them. For visually impaired people, audio output is preferred. The method of outputting such conversation data can be changed as appropriate depending on the physical characteristics of the elderly or the like. For example, a conversation data generating means may be provided that uses personal information to generate conversation data in which the user is addressed by a name or nickname such as "Mr. . . . , Good morning." AI speakers also speak to the user, but the AI speaker only speaks to the user when the user speaks first, and only performs routine responses such as ordering general merchandise or providing news. In this respect, this system is superior to AI speakers in that it allows conversation to be initiated from the system side and also in that it can identify the other party.

In addition, when outputting a conversation that includes questions to the elderly, etc., the responses and conversations from the elderly, etc. are obtained via a voice input device (e.g., a microphone, etc.), and the responses to the comments of the elderly, etc. The system is configured to determine whether further conversation or answers are necessary, and if the result of the determination is that further conversation is necessary, the conversation is selected again and this process is repeated. In addition, this system is equipped with a processing unit that uses a commercially available AI speaker system (including those equipped with not only speakers but also displays), so that it will be responsible for processing conversations that have little relation to body data. It can also be configured as

In this way, the system for monitoring the elderly, etc. can proactively talk to the elderly, urge them to take action, and grasp the health status of the elderly, etc. and revitalize them.
Hereinafter, the operation of the elderly person monitoring system of Embodiment 1 will be explained.
<Embodiment 1 Effect: Hardware configuration>

As shown in FIG. 9, the computer configuration of the elderly monitoring system consists of a CPU 0901, a nonvolatile memory 0902 such as an HDD or ROM, a main memory 0903 such as a D-RAM, and an interface 0904. . The nonvolatile memory 0902 stores programs such as a connection program, a body data acquisition program, a history body data retention program, a body data output program, a connection detection program, a conversation data retention program, a conversation data selection program, and a conversation data output program. There is. The data includes body data, acquired body data, past acquired body data, conversation data 1, 2, 3, and so on. These programs and data are read into the holding area of the main memory 0903 and executed in the work area. The interface 0904 also includes a connection interface 0905, a body data acquisition interface 0906 for acquiring body data, a body data output interface 0907, a connection detection interface 0908, a conversation data output interface 0909, and the like. A speaker 0910 for speaking to elderly people and the like is connected to the conversation data output interface 0909. The speaker 0910 may be built into the device, or a separate speaker may be configured by a wired connection or a short-range wireless communication connection as described in paragraph [0033].
<Embodiment 1 Process flow>

As shown in FIG. 10, the operation of the computer of such a monitoring system for the elderly executes a connection detection step of detecting connection with a body data acquisition device using a connection detection program (step 1001). Next, in connection detection step 1001, it is checked whether new body data exists while connected to the body data acquisition device (step 1002). If there is no new entity data (step 1002), the process advances to step 1005, which will be described later.
Next, if there is new body data (step 1002), the body data acquisition program executes a body data acquisition step of acquiring body data while connected in the connection detection step 1001 (step 1003).

Next, a body data recording step for recording the body data acquired in the body data acquisition step 1003 is executed by the body data recording program (step 1004).
Next, when a connection is detected in the connection detection step by the conversation data selection program (step 1001), a conversation data selection step is executed to select the conversation data held (step 1005).
Next, the conversation data output program executes a conversation data output step for outputting the conversation data selected in the conversation data selection step 1005 within a predetermined time after connection (step 1006).
The above processing is continued until it is completed (step 1007).

If the process does not end (step 1007), and if conversation data is selected (step 1008), steps 1005 and 1006 are repeated. If conversation data is not selected (step 1008), the process returns to connection detection step 1001.
<Embodiment 1 Effects>

As described above, according to the first embodiment, it is possible to provide a system for monitoring elderly people, etc., which can proactively talk to elderly people, urge them to take action, and understand and activate their health status.
<Embodiment 2>
<Embodiment 2 Overview>

The system for monitoring elderly people, etc. of Embodiment 2 is based on Embodiment 1, but includes acquired body data dependent conversation data selection means for selecting conversation data based on acquired body data.
<Embodiment 2 Configuration>

As shown in FIG. 11, the elderly monitoring system 1100 according to the second embodiment includes a connection section 1101, a body data acquisition section 1102, a history body data storage section 1103, a body data output section 1104, and a connection detection section 1105. , a conversation data holding section 1106 , a conversation data selection section 1107 , and a conversation data output section 1108 , and the conversation data selection section 1107 further includes acquisition data dependent conversation data selection means 1109 .
<Embodiment 2 Description of configuration>

"Acquired body data dependent conversation data selection means" 1109 is provided in the conversation data selection section 1107 and selects conversation data based on the acquired body data.

For example, assume that the body data acquisition unit 1102 acquires body data on November 1st as shown in FIG. 6 via the connection unit 1101. On that day, the total number of steps was 9,200, and the number of fast walking steps exceeded 5,000. At this time, the acquired body data dependent conversation data selection means 1109 may say, for example, a conversation such as "Today, I completed my goal of 8,000 steps. My brisk walking also exceeded 5,000 steps, so I did my best." Select data. Further, for example, the current acquired body data 1, 2, 3 and the past acquired body data 1, 2, 3, etc. held in the historical body data holding unit 1103 are combined, as shown in FIG. 4(A). You may also select conversation data such as:
Hereinafter, the operation of the elderly person monitoring system of Embodiment 2 will be explained.
<Embodiment 2 Effect: Hardware configuration>

As shown in FIG. 12, the computer configuration of the elderly monitoring system includes a CPU 1201, a nonvolatile memory 1202 such as an HDD or ROM, a main memory 1203 such as a D-RAM, and an interface 1204. . The nonvolatile memory 1202 includes a connection program, a body data acquisition program, a history body data retention program, a body data output program, a connection detection program, a conversation data retention program, a conversation data selection program, an acquisition body data dependent conversation data selection subprogram, and a conversation. Programs such as data output programs are stored. The data includes body data, acquired body data, past acquired body data, conversation data 1, 2, 3, and so on. These programs and data are read into the holding area of the main memory 1203 and executed in the work area. The interface 1204 also includes a connection interface 1205, a body data acquisition interface 1206 for acquiring body data, a body data output interface 1207, a connection detection interface 1208, a conversation data output interface 1209, and the like. A speaker 1210 for speaking to elderly people and the like is connected to the conversation data output interface 1209. The speaker 1210 may be built into the device, or a separate speaker may be configured by a wired connection or a short-range wireless communication connection as described in paragraph [0033].
<Embodiment 2 Process flow>

As shown in FIG. 13, the operation of the computer of such a monitoring system for the elderly executes a connection detection step of detecting connection with a body data acquisition device using a connection detection program (step 1301). Next, in a connection detection step 1301, it is checked whether or not there is new body data while connected to the body data acquisition device (step 1302). If there is no new entity data (step 1302), the process advances to step 1305, which will be described later.
Next, if there is new body data (step 1302), the body data acquisition program executes a body data acquisition step of acquiring body data in the connected state in the connection detection step 1301 (step 1303).

Next, a body data recording step for recording the body data acquired in the body data acquisition step 1303 is executed by the body data recording program (step 1304).

Next, when a connection is detected in the connection detection step by the conversation data selection program (step 1301), a conversation data selection step is executed to select the conversation data held (step 1305). Here, an acquired body data dependent conversation data selection substep for selecting conversation data based on the body data acquired by the acquired body data dependent conversation data selection subprogram is executed (step 1306).
Next, the conversation data output program executes a conversation data output step for outputting the conversation data selected in the conversation data selection steps 1305 and 1306 within a predetermined time after connection (step 1307).
The above processing is continued until it is completed (step 1308).

If the process does not end (step 1308), and if conversation data is selected (step 1309), steps 1305, 1306, and 1307 are repeated. If no conversation data is selected (step 1309), the process returns to connection detection step 1301.
<Embodiment 2 Effects>

In this way, according to Embodiment 2, in addition to Embodiment 1, since conversation data is selected based on the acquired body data, it is possible to adjust the health status of elderly people, etc., which was not possible with conventional AI speakers. It is possible to have a dialogue according to the needs of the elderly, and at the same time, it is possible to maintain the health of the elderly and improve their health.
<Embodiment 3>
<Embodiment 3 Overview>

The monitoring system for the elderly of Embodiment 3 is based on Embodiment 1 or 2, but is equipped with a retained body data dependent conversation data selection means for selecting conversation data based on retained body data. be.
<Embodiment 3 Configuration>

As shown in FIG. 14, the monitoring system 1400 for the elderly according to the third embodiment includes a connection section 1401, a body data acquisition section 1402, a history body data storage section 1403, a body data output section 1404, and a connection detection section 1405. , a conversation data holding section 1406 , a conversation data selection section 1407 , and a conversation data output section 1408 , and the conversation data selection section 1407 further includes a holder data dependent conversation data selection means 1409 .
<Embodiment 3 Description of configuration>

A "holding body data dependent conversation data selection means" 1409 is provided in the conversation data selection section 1407 and selects conversation data based on the held body data.

Conversation data can be selected based on acquired body data 1, 2, 3, etc. held in the historical body data holding unit 1403, or conversation data can be selected based on acquired body data 1, 2, 3, etc. and past acquired body data 1, etc. Conversation data is selected based on the combination of 2, 3, and so on. That is, conversation data is selected according to the comparison result between past body data and current body data. The body data is the body data mentioned in paragraph [0035], and if the body data is weight data, it will say "You've gained a little weight", and if the blood pressure data is high blood pressure, it will say "My blood pressure has increased". Select conversation data such as "Let's take your medicine."

Therefore, since it is possible to select conversation data by comparing past body data and current body data, it is possible to have a conversation that is more tailored to the elderly person. Therefore, it is easier for elderly people to feel closer to the system, and in some cases, they feel as if they are family members who care about their health. Therefore, it becomes easier to accept health-related advice from the system, which results in contributing to maintaining and promoting the health of the elderly and the like. In this respect, it has a different effect from an AI speaker (smart speaker) that does not have a function of comparing past body data and current body data.
Hereinafter, the operation of the elderly person monitoring system of Embodiment 3 will be explained.
<Embodiment 3 Effect: Hardware configuration>

As shown in FIG. 15, the computer configuration of the elderly monitoring system includes a CPU 1501, a nonvolatile memory 1502 such as an HDD or ROM, a main memory 1503 such as a D-RAM, and an interface 1504. . The non-volatile memory 1502 stores a connection program, body data acquisition program, history body data retention program, body data output program, connection detection program, conversation data retention program, conversation data selection program, retention body data dependent conversation data selection program, and conversation data. Programs such as output programs are stored. The data includes body data, acquired body data, past acquired body data, conversation data 1, 2, 3, and so on. These programs and data are read into the holding area of the main memory 1503 and executed in the work area. The interface 1504 also includes a connection interface 1505, a body data acquisition interface 1506 for acquiring body data, a body data output interface 1507, a connection detection interface 1508, a conversation data output interface 1509, and the like. A speaker 1510 for speaking to elderly people and the like is connected to the conversation data output interface 1509. The speaker 1510 may be built into the device, or a separate speaker may be configured by a wired connection or a short-range wireless communication connection as described in paragraph [0033].
<Embodiment 3 Process flow>

As shown in FIG. 16, the computer of such a monitoring system for the elderly executes a connection detection step of detecting connection with a body data acquisition device using a connection detection program (step 1601). Next, in a connection detection step 1601, it is checked whether or not there is new body data while connected to the body data acquisition device (step 1602). If there is no new body data (step 1602), the process advances to step 1605, which will be described later.
Next, if there is new body data (step 1602), the body data acquisition program executes a body data acquisition step of acquiring body data while connected in the connection detection step 1601 (step 1603).

Next, a body data recording step for recording the body data acquired in the body data acquisition step 1603 is executed by the body data recording program (step 1604).

Next, when the conversation data selection program detects a connection with the body data acquisition device in the connection detection step (step 1601), a conversation data selection step is executed to select the conversation data held (step 1605). Here, the holder data dependent conversation data selection sub-step for selecting conversation data based on the body data held by the holder data dependent conversation data selection subprogram is executed (step 1606).
Next, a conversation data output step is executed to output the conversation data selected in the conversation data selection steps 1605 and 1606 within a predetermined time (about 1 to 3 seconds) after connection (step 1607).
The above processing is continued until it is completed (step 1608).

If not completed (step 1608), if conversation data is selected (step 1609), steps 1605, 1606, and 1607 are repeated. If no conversation data is selected (step 1609), the process returns to connection detection step 1601.
<Embodiment 3 Effects>

In this way, according to Embodiment 3, in addition to Embodiment 1 or 2, conversation data is selected based on the retained body data, so activation can be achieved according to the health condition of the elderly, etc. be able to.
<Embodiment 4>
<Embodiment 4 Overview>

The monitoring system for the elderly according to Embodiment 4 is based on Embodiments 1 to 3, but also stores a plurality of image data and waits for a predetermined period of time (for example, from 1 second to 1 second) after connection with a body data acquisition device. The selected image data is output within 3 seconds).
<Embodiment 4 Configuration>

As shown in FIG. 17, the monitoring system 1700 for the elderly according to the fourth embodiment includes a connection section 1701, a body data acquisition section 1702, a history body data storage section 1703, a body data output section 1704, and a connection detection section 1705. , a conversation data holding section 1706 , a conversation data selection section 1707 , and a conversation data output section 1708 , and further includes an image data holding section 1709 , an image data selection section 1710 , and an image data output section 1711 .
<Embodiment 4 Description of configuration>

The “image data holding unit” 1709 holds a plurality of image data. The image data holding unit 1709 stores questions such as "What day of the week is it today?" and "Prevent forgetfulness and dementia! Brain activity drill that advances one page every day" as shown in FIG. 5A. Have you finished today's portion? ? '', as shown in Figure 5(B), ``Hello'' and ``How many steps did you take today? Check your pedometer and choose!''. It also holds images of the initial screen. "Image data" may be anything such as animation, photographs, composite images, diagrams, tables, graphs, etc. Further, the image may be either a still image or a moving image. In the case of a composite image, facial expressions and mouth movements may be synthesized from facial photographs of children, grandchildren, relatives, etc. along with voice (conversation). Furthermore, in the case of anime, it may be something like Vocaloid (registered trademark). Furthermore, the image data may be an interphone image. For example, if an elderly person lives in a nursing home or an assisted-living apartment, the system will detect the connection and then connect to the intercom at the nurse's station or check-in area so that they can talk to caregivers, nurses, trainers, and other staff. It can also be configured.

The “image data selection unit” 1711 selects the image data held when the connection detection unit 1705 detects connection with the body data acquisition device. When the connection of a body data acquisition device (not shown) is detected via the connection section 1701 and the connection detection section 1705, an image corresponding to the connection time of an elderly person or the like is displayed. For example, when you wake up, a message such as ``How many steps did you take yesterday?'' or, if you did not touch your activity meter the night before, a message such as ``We have retrieved your physical data from yesterday's activity meter.'' Display images. It also displays images such as ``How many steps did you take today?'' at bedtime, and displays images such as ``Did you eat?'' during the daytime, and selects the button displayed on the screen. encourage. A questionnaire screen as shown in FIGS. 5(A) and 5(B) is displayed to prompt the user to select a button.

The "image data output unit" 1711 outputs the selected image data within a predetermined time (for example, 1 second to 3 seconds) after connection with the body data acquisition device. It is desirable that the selected image data be outputted within one second and displayed within at least three seconds. This is because if it takes too long for the display to appear, elderly people and the like may become impatient for the system's response. Further, the image data output unit 1711 and the conversation data output unit 1708 may be linked to output conversation data and image data at the same time. Alternatively, a configuration may be adopted in which the videophone image is directly output from here as the image data. For example, the system may be configured so that when a connection is detected, a call is made to a registered relative's mobile phone/smartphone (equipped with an image communication function) so that the user can have a videophone conversation with the relative. For example, it is conceivable that the display outputs image data of a call to the other party, such as an animation, until it is possible to make a call and talk to the other party. Since it would be good to be able to send a facial image of an elderly person or the like to the other party, it is preferable to place a camera near the display to capture a facial image of the elderly person or the like looking at the display. When configured in this way, it is preferable that the present system has a telephone function with an image. However, this function may be achieved by using a commercially available mobile phone or smartphone and communicating with this system.
Hereinafter, the operation of the elderly person monitoring system of Embodiment 4 will be explained.
<Embodiment 4 Hardware configuration>

As shown in FIG. 18, the computer configuration of the elderly monitoring system includes a CPU 1801, a nonvolatile memory 1802 such as an HDD or ROM, a main memory 1803 such as a D-RAM, and an interface 1804. . The nonvolatile memory 1802 stores a connection program, a body data acquisition program, a history body data retention program, a body data output program, a connection detection program, a conversation data retention program, a conversation data selection program, a conversation data output program, an image data retention program, and an image. Programs such as a data selection program and an image data output program are stored. The data includes body data, acquired body data, past acquired body data, conversation data 1, 2, 3, . . . , image data 1, 2, 3, . . . . These programs and data are read into the holding area of the main memory 1803 and executed in the work area. The interface 1804 also includes a connection interface 1805, a body data acquisition interface 1806 for acquiring body data, a body data output interface 1807, a connection detection interface 1808, a conversation data output interface 1809, an image data output interface 1810, and the like. The conversation data output interface 1809 is connected to a speaker 1811 for talking to the elderly, etc., and the image data output interface 1810 is used to display health status and instruction icons to the elderly, etc., and to make video calls with relatives etc. A display 1812 for displaying images is connected. The speaker 1811 and the display 1812 may be built into the device, or may be configured as separate devices using a wired connection or a short-range wireless communication connection as described in paragraph [0033].
<Embodiment 4 Process flow>

As shown in FIG. 19, the operation of the computer of such a monitoring system for the elderly executes a connection detection step of detecting connection with a body data acquisition device using a connection detection program (step 1901). Next, in a connection detection step 1901, it is checked whether or not there is new body data while connected to the body data acquisition device (step 1902). If there is no new body data (step 1902), the process advances to step 1905, which will be described later.
Next, if there is new body data (step 1902), the body data acquisition program executes a body data acquisition step of acquiring body data while connected in the connection detection step 1901 (step 1903).

Next, a body data recording step is executed in which the body data acquired in the body data acquisition step 1903 is recorded by the body data recording program (step 1904).
Next, when a connection is detected in the connection detection step by the conversation data selection program (step 1901), a conversation data selection step is executed to select the conversation data held (step 1905).

Next, when the connection detection unit step detects connection with the body data acquisition device by the image data selection program (step 1901), an image data selection step is executed to select the retained image data (step 1906).
Next, a conversation data output step is executed to output the conversation data selected in the conversation data selection step 1905 within a predetermined time after connection (step 1907).
Next, an image data output step is executed to output the image data selected in the image data selection step 1906 within a predetermined time after connection with the body data acquisition device (step 1908).
The above processing is continued until it is completed (step 1909).

If the process does not end (step 1909), and if conversation data is selected (step 1910), steps 1905, 1906, 1907, and 1908 are repeated. If no conversation data is selected (step 1909), the process returns to the connection detection step 1901.
<Embodiment 4 Effects>

In this way, according to the fourth embodiment, in addition to the first to third embodiments, a plurality of image data are output, so that when talking to elderly people and urging them to take action, it is possible to use a stimulus with a higher impact. can be given.
<Embodiment 5>
<Embodiment 5 Overview>

The monitoring system for elderly persons, etc. of Embodiment 5 is based on Embodiment 4, but includes an acquired body data dependent image data selection means that selects image data based on acquired body data.
<Embodiment 5 Configuration>

As shown in FIG. 20, the elderly monitoring system 2000 according to the fifth embodiment includes a connection section 2001, a body data acquisition section 2002, a history body data storage section 2003, a body data output section 2004, and a connection detection section 2005. , a conversation data holding section 2006, a conversation data selection section 2007, a conversation data output section 2008, an image data holding section 2009, an image data selection section 2010, and an image data output section 2011. The selection unit 2010 has an acquired object data dependent image data selection means 2012.
<Embodiment 5 Description of configuration>

"Acquired body data dependent image data selection means" 2012 is provided in the image data selection section 2010 and selects image data based on the acquired body data.

For example, assume that the body data acquisition unit 2002 acquires body data on November 1st as shown in FIG. 6 via the connection unit 2001. On that day, the total number of steps was 9,200, and the number of fast walking steps exceeded 5,000. At this time, the acquired body data dependent image data selection means 2012 displays an image such as "Today, I completed my goal of 8,000 steps. My brisk walking also exceeded 5,000 steps, so I did my best." Select data. Further, for example, the current acquired body data 1, 2, 3 and the past acquired body data 1, 2, 3, etc. held in the historical body data storage unit 2003 are combined as shown in FIG. 4(A). Such conversation data may be displayed as an image.

For example, a configuration may be considered in which the character appearing on the screen is changed in relation to the acquired body data. For example, if it is determined from the acquired body data that exercise is insufficient, image data of a trainer-like character is selected as the character, and if it is determined from the acquired body data that the physical condition is poor. For example, select an image of a nurse-like character and select the appropriate dialogue.

As described above, in this specification, when conversation data or image data is selected using body data, a history of body data, etc., it is preferable to have evaluation means for evaluating the data. There are several types of evaluation means, and the evaluation means may include various evaluation means such as exercise amount evaluation means, physical condition evaluation means, mood evaluation means, sleep amount evaluation means, and appetite evaluation means. Preferably, the conversation data and image data are selected by comprehensively evaluating the evaluation results of various evaluation means.
Hereinafter, the operation of the elderly person monitoring system of Embodiment 5 will be explained.
<Embodiment 5 Effect: Hardware configuration>

As shown in FIG. 21, the computer configuration of the elderly monitoring system includes a CPU 2101, a nonvolatile memory 2102 such as an HDD or ROM, a main memory 2103 such as a D-RAM, and an interface 2104. . The non-volatile memory 2102 includes a connection program, a body data acquisition program, a history body data retention program, a body data output program, a connection detection program, a conversation data retention program, a conversation data selection program, a conversation data output program, an image data retention program, and an image. Programs such as a data selection program, an acquisition object data dependent image data selection program, and an image data output program are stored. The data includes body data, acquired body data, past acquired body data, conversation data 1, 2, 3, . . . , image data 1, 2, 3, . . . . These programs and data are read into the holding area of the main memory 2103 and executed in the work area. The interface 2104 also includes a connection interface 2105, a body data acquisition interface 2106 for acquiring body data, a body data output interface 2107, a connection detection interface 2108, a conversation data output interface 2109, an image data output interface 2110, and the like. As in the fourth embodiment, a speaker 2111 is connected to the conversation data output interface 2109, and a display 2112 is connected to the image data output interface 2110. The speaker 2111 and the display 2112 may be built into the device, or may be configured as separate devices using a wired connection or a short-range wireless communication connection as described in paragraph [0033].
<Embodiment 5 Process flow>

As shown in FIG. 22, the operation of the computer of such a monitoring system for the elderly executes a connection detection step of detecting connection with a body data acquisition device using a connection detection program (step 2201). Next, in a connection detection step 2201, it is checked whether or not there is new body data while connected to the body data acquisition device (step 2202). If there is no new entity data (step 2202), the process advances to step 2205, which will be described later.
Next, if there is new body data (step 2202), the body data acquisition program executes a body data acquisition step of acquiring body data in the connected state in the connection detection step 2201 (step 2203).

Next, a body data recording step for recording the body data acquired in the body data acquisition step 2203 is executed by the body data recording program (step 2204).
Next, when a connection is detected in the connection detection step by the conversation data selection program (step 2201), a conversation data selection step is executed to select the conversation data held (step 2205).

Next, when the image data selection program detects connection with the body data acquisition device in the connection detection step (step 2201), an image data selection step is executed to select the retained image data (step 2206). Here, an acquired body data dependent image data selection substep for selecting image data based on the body data acquired by the acquired body data dependent image data selection subprogram is executed (step 2207).
Next, the conversation data output program executes a conversation data output step for outputting the conversation data selected in the conversation data selection step 2205 within a predetermined time after connection (step 2208).
Next, the image data output program executes an image data output step of outputting the image data selected in the image data selection steps 2206 and 2207 within a predetermined time after connection with the body data acquisition device (step 2209).
The above processing is continued until it is completed (step 2210).

If the process does not end (step 2210), and if conversation data is selected (step 2211), steps 2205, 2206, 2207, 2208, and 2209 are repeated. If no conversation data is selected (step 2211), the process returns to connection detection step 2201.
<Embodiment 5 Effects>

In this way, according to the fifth embodiment, in addition to the fourth embodiment, image data is selected based on the acquired body data, so it is possible to activate the elderly person according to their health condition. can.
<Embodiment 6>
<Embodiment 6 Overview>

The system for monitoring elderly people, etc. of Embodiment 6 is based on Embodiment 4 or 5, but includes a holding body data dependent image data selection means for selecting image data based on held body data. be.
<Embodiment 6 Configuration>

As shown in FIG. 23, the elderly monitoring system 2300 of the sixth embodiment includes a connection section 2301, a body data acquisition section 2302, a history body data storage section 2303, a body data output section 2304, and a connection detection section 2305. , a conversation data holding section 2306, a conversation data selection section 2307, a conversation data output section 2308, an image data holding section 2309, an image data selection section 2310, and an image data output section 2311. The selection section 2310 has a holding body data dependent image data selection means 2312.
<Embodiment 6 Description of configuration>

A "holding body data dependent image data selection means" 2312 is provided in the image data selection section 2310 and selects image data based on held body data.

Image data can be selected based on acquired body data 1, 2, 3, etc. held in the historical body data holding unit 2303, or image data can be selected based on acquired body data 1, 2, 3, etc. and past acquired body data 1, Image data is selected based on the combination of 2, 3, and so on. The holding body data dependent image data selection means 2312 selects the body data as described in paragraph [0035] as the body data, and when the body data is weight data, it selects "You've gained a little weight" and blood pressure. If the data indicates high blood pressure, image data such as "I have high blood pressure. Be careful." or "My blood pressure has risen, so let's take medicine." Choose from 3.
Hereinafter, the operation of the elderly person monitoring system of Embodiment 6 will be explained.
<Embodiment 6 Effect: Hardware configuration>

As shown in FIG. 24, the computer configuration of the elderly monitoring system includes a CPU 2401, a nonvolatile memory 2402 such as an HDD or ROM, a main memory 2403 such as a D-RAM, and an interface 2404. . The nonvolatile memory 2402 stores a connection program, a body data acquisition program, a history body data retention program, a body data output program, a connection detection program, a conversation data retention program, a conversation data selection program, a conversation data output program, an image data retention program, and an image. Programs such as a data selection program, a carrier data dependent image data selection subprogram, and an image data output program are stored. The data includes body data, acquired body data, past acquired body data, conversation data 1, 2, 3, . . . , image data 1, 2, 3, . . . . These programs and data are read into the holding area of the main memory 2403 and executed in the work area. The interface 2404 also includes a connection interface 2405, a body data acquisition interface 2406, a body data output interface 2407, a connection detection interface 2408, a conversation data output interface 2409, an image data output interface 2410, and the like. As in the fourth or fifth embodiment, a speaker 2411 is connected to the conversation data output interface 2409, and a display 2412 is connected to the image data output interface 2410. The speaker 2411 and the display 2412 may be built into the device, or may be configured as separate devices using a wired connection or a short-range wireless communication connection as described in paragraph [0033].
<Embodiment 6 Process flow>

As shown in FIG. 25, the operation of the computer of such a monitoring system for the elderly executes a connection detection step of detecting connection with a body data acquisition device using a connection detection program (step 2501). Next, in a connection detection step 2501, it is checked whether or not there is new body data while connected to the body data acquisition device (step 2502). If there is no new body data (step 2502), the process advances to step 2505, which will be described later.
Next, if there is new body data (step 2502), the body data acquisition program executes a body data acquisition step of acquiring body data in the connected state in the connection detection step 2501 (step 2503).

Next, a body data recording step for recording the body data acquired in the body data acquisition step 2503 is executed by the body data recording program (step 2504).
Next, when a connection is detected in the connection detection step by the conversation data selection program (step 2501), a conversation data selection step is executed to select the conversation data held (step 2505).

Next, when a connection is detected in the connection detection step by the image data selection program (step 2501), an image data selection step is executed to select the retained image data (step 2506). Here, a holder data dependent image data selection sub-step for selecting image data based on body data held by the holder data dependent image data selection subprogram is executed (step 2507).
Next, a conversation data output step is executed to output the conversation data selected in the conversation data selection step 2505 within a predetermined time after connection (step 2508).
Next, an image data output step is executed to output the image data selected in the image data selection steps 2506 and 2507 within a predetermined time after connection (step 2509).
The above processing is continued until it is completed (step 2510).

If the process does not end (step 2510), and if conversation data is selected (step 2511), steps 2505, 2506, 2507, 2508, and 2509 are repeated. If no conversation data is selected (step 2511), the process returns to connection detection step 2501.
<Embodiment 6 Effects>

In this way, according to Embodiment 6, in addition to Embodiment 4 or 5, the image data is selected based on the retained body data, so it is easier to talk to elderly people or change their behavior. You can increase the variety of prompts.
<Embodiment 7>
<Embodiment 7 Overview>

The monitoring system for the elderly according to Embodiment 7 is based on Embodiments 4 to 6, but includes a data recording unit that acquires conversation data and image data through Internet communication and records them in a conversation data storage unit and an image data storage unit. It is something that
<Embodiment 7 Configuration>

As shown in FIG. 26, the monitoring system 2600 for the elderly according to the seventh embodiment includes a connection section 2601, a body data acquisition section 2602, a history body data storage section 2603, a body data output section 2604, and a connection detection section 2605. , a conversation data holding section 2606, a conversation data selection section 2607, a conversation data output section 2608, an image data holding section 2609, an image data selection section 2610, an image data output section 2611, and a communication section 2612. , a data acquisition section 2613 , and a data recording section 2614 .
<Embodiment 7 Description of configuration>

“Communication unit” 2612 performs communication via the Internet. The elderly monitoring system 2600 is connected to a communication terminal (for example, a smartphone, a personal computer, or a tablet PC) (not shown) of a distant family member (son or daughter) via the Internet via a communication unit 2612. Two-way communication is performed with family members and the like through the communication unit 2612, and health conditions such as geriatric disease can be transmitted, and conversation data and image data can be received from family members and the like.

The “data acquisition unit” 2613 acquires conversation data and/or image data via the communication unit 2612. An example of a screen for inputting conversation data from a child is shown in FIG. In the example shown in Figure 8, when a child inputs conversation data to his mother from his own communication terminal, such as "Did you take a good rest yesterday too? It's sunny today!", this conversation data is sent to the elderly monitoring system. , the data acquisition unit 2613 acquires conversation data via the communication unit 2612. Image data can also be acquired in the same way.

The “data recording unit” 2614 records the acquired conversation data and/or image data in the conversation data holding unit 2606 and/or the image data holding unit 2609. The acquired conversation data is held in the conversation data holding unit 2606, and the acquired image data is held in the image data holding unit 2609.
Hereinafter, the operation of the elderly person monitoring system of Embodiment 7 will be explained.
<Embodiment 7 Effect: Hardware configuration>

As shown in FIG. 27, the computer configuration of the elderly monitoring system includes a CPU 2701, a nonvolatile memory 2702 such as an HDD or ROM, a main memory 2703 such as a D-RAM, and an interface 2704. . The nonvolatile memory 2702 stores a connection program, a body data acquisition program, a history body data retention program, a body data output program, a connection detection program, a conversation data retention program, a conversation data selection program, a conversation data output program, an image data retention program, and an image. Programs such as a data selection program, an image data output program, a communication program, a data acquisition program, and a data recording program are stored. The data includes body data, acquired body data, past acquired body data, conversation data 1, 2, 3, . . . , image data 1, 2, 3, . . . , acquired conversation data, acquired image data, and the like. These programs and data are read into the holding area of the main memory 2703 and executed in the work area. The interface 2704 also includes a connection interface 2705, a body data acquisition interface 2706 for acquiring body data, a body data output interface 2707, a connection detection interface 2708, a conversation data output interface 2709, a communication interface 2710, a data acquisition interface 2711, etc. There is. Further, similar to the embodiment described above, a speaker 2712 is connected to the conversation data output interface 2709, and a display 2714 is connected to the image data output interface 2713. The speaker 2712 and the display 2714 may be built into the device, or may be configured as separate devices using a wired connection or a short-range wireless communication connection as described in paragraph [0033].
<Embodiment 7 Process flow>

The operation of the computer in the system for monitoring the elderly, etc. is similar to the processing steps 1001 to 1009 in FIG. 10 of the first embodiment.

In addition, the operation of the computer in the system for monitoring the elderly in the seventh embodiment differs from that in the first embodiment in that conversation data and image data can be acquired through communication via the Internet. This difference will be explained below using the processing flow shown in FIG. 28.

As shown in FIG. 28, in the operation of the computer of such a monitoring system for the elderly, a communication program first executes a communication step for communicating via the Internet (step 2801). In the communication step 2801, the data acquisition program executes a data acquisition step of acquiring conversation data or image data via the communication unit 2612 (step 2802).

Next, a data recording step is executed to record the conversation data and/or image data acquired by the data recording program into the conversation data holding section 2606 and/or the image data holding section 2609 (step 2803).
Continue the above process until it is completed (step 2804)
<Embodiment 7 Effects>

In this way, according to the seventh embodiment, in addition to the fourth to sixth embodiments, it is possible to obtain conversation data and image data via the Internet, so that family members in remote areas (for example, sons and daughters) can You can actively talk to others, encourage them to take action, and give them more stimulation.
<Embodiment 8>
<Embodiment 8 Overview>

The monitoring system for the elderly of Embodiment 8 is based on Embodiment 7, but captures and records sounds and images in front of (near) the audio output device and image output device, and transmits the captured and recorded sounds and images via the Internet. This is how it is output.
<Embodiment 8 Configuration>

As shown in FIG. 29, the monitoring system 2900 for the elderly according to the eighth embodiment includes a connection section 2901, a body data acquisition section 2902, a history body data storage section 2903, a body data output section 2904, and a connection detection section 2905. , conversation data holding section 2906 , conversation data selection section 2907 , conversation data output section 2908 , image data holding section 2909 , image data selection section 2910 , image data output section 2911 , communication section 2912 , data It has an acquisition section 2913 and a data recording section 2914, and further includes a photographic recording section 2915, a photographic recording holding section 2916, and a photographic recording output section 2917.
<Embodiment 8 Description of configuration>

The "photographing and recording section" 2915 photographs and/or records an image and/or a sound near the front of the audio output device or image output device that constitutes the conversation data output section 2908 and/or the image data output section 11 .
Examples of the conversation data output unit include audio output equipment. Specifically, it includes speakers and AI speakers connected to the system. Furthermore, examples of the image data output unit include an image output device. Specifically, this includes digital cameras, smartphone cameras, and cameras attached to displays. These audio output devices and image output devices record audio and take images of the front of or near the front of an elderly person or the like.

The “shooting and recording holding unit” 2916 holds images and/or sounds that have been shot and/or recorded. Images photographed and audio recorded by the photographing and recording section 2915 are held in a photographing and recording holding section 2916.

The “shooting/recording output unit” 2917 outputs the retained images and/or audio via the communication unit 2912.
The images and sounds held in the photographic recording holding unit 2916 are transmitted to family members, relatives, etc. via the communication unit 2912 via the Internet, along with the health status. By adding the health status of the transmitted body data, photographed images, and recorded audio, family members and relatives can know a more realistic health status.
Hereinafter, the operation of the elderly person monitoring system of Embodiment 8 will be explained.
<Embodiment 8 Effect: Hardware configuration>

As shown in FIG. 30, the computer configuration of the elderly monitoring system includes a CPU 3001, a non-volatile memory 3002 such as an HDD or ROM, a main memory 3003 such as a D-RAM, and an interface 3004. . The nonvolatile memory 3002 includes a connection program, a body data acquisition program, a historical body data retention program, a body data output program, a connection detection program, a conversation data retention program, a conversation data selection program, a conversation data output program, an image data retention program, and an image data retention program. Stored are programs such as a data selection program, an image data output program, a communication program, a data acquisition program, a data recording program, a photographing and recording program, a photographing and recording holding program, and a photographing and recording output program. The data includes body data, acquired body data, past acquired body data, conversation data 1, 2, 3..., image data 1, 2, 3..., acquired conversation data, acquired image data, photographed image data, Includes recorded audio data, etc. These programs and data are read into the holding area of the main memory 3003 and executed in the work area. The interface 3004 also includes a connection interface 3005, a body data acquisition interface 3006, a body data output interface 3007, a connection detection interface 3008, a conversation data output interface 3009, a communication interface 3010, a data acquisition interface 3011, a photography and recording interface 3012, and a photography and recording interface. There is an output interface 3013, etc. Further, similar to the embodiment described above, a speaker 3012 is connected to the conversation data output interface 3009, and a display 3018 is connected to the image data output interface 3017. Furthermore, a microphone 3015 for recording the voice of an elderly person, etc., and a camera 3016 for photographing the face and body of an elderly person, etc. are connected to the photographing/recording interface 3012. The speaker 3012, display 3018, microphone 3015, and camera 3016 may be built into the device, or may be configured as separate devices through wired connection or short-range wireless communication connection as described in paragraph [0033].
<Embodiment 8 Process flow>

The operation of the computer in such a system for monitoring elderly people, etc., executes processing similar to processing steps 1001 to 1009 in FIG. 10 of the first embodiment.
In addition, the operation of the computer of the elderly person monitoring system of the eighth embodiment is different from that of the seventh embodiment in that it is capable of photographing and recording images and sounds in front of (near) the audio output device or the image output device. They are different. This difference will be explained below using the processing flow shown in FIG. 31.

As shown in FIG. 31, in the operation of the computer of such a monitoring system for the elderly, a communication program first executes a communication step for communicating via the Internet (step 3101). In this communication step 3101, the data acquisition program executes a data acquisition step of acquiring conversation data or image data via the communication unit 2912 (step 3102).

Next, a data recording step is executed to record the conversation data and/or image data acquired by the data recording program into the conversation data holding section 2906 and/or the image data holding section 2909 (step 3103).

Further, a photographing and recording step of photographing and/or recording an image and/or sound near the front of the audio output device or image output device constituting the conversation data output section 2908 and/or the image data output section 2911 using the photographing and recording program. (Step 3104).

Next, the communication program executes a communication step for communicating via the Internet (step 3105). In this communication step 3105, a photographing and recording output step is executed in which the photographing and recording output program outputs the image and/or audio held in the photographing and recording holding unit 2916 to the Internet etc. via the communication unit 2912 (step 3106). .
Continue the above process until it is completed (step 3107)
<Embodiment 8 Effects>

In this way, according to the eighth embodiment, in addition to the seventh embodiment, a front image or voice of an elderly person, etc. is photographed or recorded and transmitted to a family member in a remote location (for example, a son or daughter) via the Internet. You can also confirm their safety.
<Embodiment 9>
<Embodiment 9 Overview>

The monitoring system for the elderly according to the ninth embodiment is based on the fifth to eighth embodiments, but the conversation data and the image data are associated with attribute information for selection, and the system is configured according to the associated attribute information. This allows conversation data and image data to be selected.
<Embodiment 9 Configuration>

As shown in FIG. 32, the monitoring system 3200 for the elderly according to the ninth embodiment includes a connection section 3201, a body data acquisition section 3202, a history body data storage section 3203, a body data output section 3204, and a connection detection section 3205. , a conversation data holding section 3206, a conversation data selection section 3207, a conversation data output section 3208, an image data holding section 3209, an image data selection section 3210, and an image data output section 3211. The selection section 3207 has an acquisition body data dependent conversation data selection means 3212, and the image data selection section 3210 has an acquisition body data dependent image data selection means 3213. Here, the conversation data and/or image data held are associated with attribute information for selection, and the conversation data and/or image data are selected according to the associated attribute information. and/or the image data selection section.
<Embodiment 9 Description of configuration>

"Attribute information" includes a personal identification ID of an elderly person, etc., a name of an elderly person, personal information, hobbies, preferences, area of residence, family address, etc. By associating these attribute information with acquired body data, conversation data, image data, etc., and using it to output conversation data and image data, it is possible to realize a real monitoring system with a more familiar feeling.
Hereinafter, the operation of the system for monitoring the elderly, etc. of Embodiment 9 will be explained.
<Embodiment 9 Effect: Hardware configuration>

As shown in FIG. 33, the computer configuration of the elderly monitoring system includes a CPU 3301, a nonvolatile memory 3302 such as an HDD or ROM, a main memory 3303 such as a D-RAM, and an interface 3304. . The nonvolatile memory 3302 includes a connection program, a body data acquisition program, a history body data retention program, a body data output program, a connection detection program, a conversation data retention program, a conversation data selection program, an acquisition body data dependent conversation data selection subprogram, and a conversation. Programs such as a data output program, an image data holding program, an image data selection program, an image data selection subprogram dependent on acquired object data, and an image data output program are stored. The data includes body data, acquired body data, past acquired body data, conversation data 1, 2, 3, etc., image data 1, 2, 3, and attribute information. These programs and data are read into the holding area of the main memory 3303 and executed in the work area. The interface 3304 also includes a connection interface 3305, a body data acquisition interface 3306, a body data output interface 3307, a connection detection interface 3308, a conversation data output interface 3309, an image data output interface 3110, and the like. Further, a speaker 3311 is connected to the conversation data output interface 3309, and a display 3312 is connected to the image data output interface 3010. The speaker 3311 and the display 3312 may be built into the device, or may be configured as separate devices using a wired connection or a short-range wireless communication connection as described in paragraph [0033].
<Embodiment 9 Process flow>

As shown in FIG. 40, the computer of such a monitoring system for the elderly executes a connection detection step of detecting connection with a body data acquisition device using a connection detection program (step 4001). Next, in a connection detection step 4001, it is checked whether or not there is new body data while connected to the body data acquisition device (step 4002). If there is no new body data (step 4002), the process advances to step 4005, which will be described later.
Next, if there is new body data (step 4002), the body data acquisition program executes a body data acquisition step of acquiring body data while connected in the connection detection step 4001 (step 4003).

Next, a body data recording step for recording the body data acquired in the body data acquisition step 4003 is executed by the body data recording program (step 4004).

Next, when the conversation data selection program detects a connection with the body data acquisition device in the connection detection step (step 4001), a conversation data selection step is executed to select the conversation data held (step 4005). Here, an acquired body data dependent conversation data selection substep for selecting conversation data based on the body data acquired by the acquired body data dependent conversation data selection subprogram is executed (step 4006).
Next, when the image data selection program detects connection with the body data acquisition device in the connection detection step (step 4001), an image data selection step is executed to select the retained image data (step 4007). Here, an acquired body data dependent image data selection substep for selecting image data based on the body data acquired by the acquired body data dependent image data selection subprogram is executed (step 4008).

Next, the conversation data output program executes a conversation data output step for outputting the conversation data selected in the conversation data selection steps 4005 and 4006 within a predetermined time after connection (step 4009).
Next, the image data output program executes an image data output step of outputting the image data selected in the image data selection steps 4007 and 4008 within a predetermined time after connection (step 4010).
The above processing is continued until it is completed (step 4011).

If the process does not end (step 4011), or if conversation data is selected (step 4012), steps 4005 to 4010 are repeated. If no conversation data is selected (step 4012), the process returns to connection detection step 4001.
<Embodiment 9 Effects>

In this way, according to the ninth embodiment, in addition to the fifth embodiment, since conversation data and image data are selected according to the attribute information associated with the conversation data or image data, it is possible to identify elderly people, etc. Therefore, it becomes possible to watch over multiple elderly people.
<Embodiment 10>
<Embodiment 10 Overview>

The system for monitoring the elderly, etc. of Embodiment 10 is based on Embodiment 9, but includes an attribute association unit that analyzes acquired conversation data and/or acquired image data and associates attribute information.
<Embodiment 10 Configuration>

As shown in FIG. 34, the elderly monitoring system 3400 according to the tenth embodiment includes a connection section 3401, a body data acquisition section 3402, a history body data storage section 3403, a body data output section 3404, and a connection detection section 3405. , conversation data holding section 3406 , conversation data selection section 3407 , conversation data output section 3408 , image data holding section 3409 , image data selection section 3410 , image data output section 3411 , acquisition body data dependent conversation data It has a selection means 3212 and an acquired body data dependent image data selection means 3213, and further has an attribute association section 3414.
<Embodiment 10 Description of configuration>
The “attribute association unit” 3414 analyzes the acquired conversation data and/or the acquired image data and associates attribute information with them.
The attribute association unit 3414 analyzes the acquired conversation data and the acquired image data and associates them with attribute information as described in the ninth embodiment. By doing so, it becomes possible to talk to elderly people in a more detailed manner according to their health status.
Hereinafter, the operation of the system for monitoring the elderly, etc. of Embodiment 10 will be explained.
<Embodiment 10 Effect: Hardware configuration>

As shown in FIG. 35, the computer configuration of the elderly monitoring system includes a CPU 3501, a nonvolatile memory 3502 such as an HDD or ROM, a main memory 3503 such as a D-RAM, and an interface 3504. . The nonvolatile memory 3502 includes a connection program, a body data acquisition program, a history body data retention program, a body data output program, a connection detection program, a conversation data retention program, a conversation data selection program, an acquisition body data dependent conversation data selection subprogram, and a conversation. Programs such as a data output program, an image data holding program, an image data selection program, an image data selection subprogram dependent on acquired object data, and an image data output program are stored. The data includes body data, acquired body data, past acquired body data, conversation data 1, 2, 3, etc., image data 1, 2, 3, and attribute information. These programs and data are read into the holding area of the main memory 3503 and executed in the work area. The interface 3504 also includes a connection interface 3505, a body data acquisition interface 3506, a body data output interface 3507, a connection detection interface 3508, a conversation data output interface 3509, an image data output interface 3510, and the like. Further, a speaker 3511 is connected to the conversation data output interface 3509, and a display 3512 is connected to the image data output interface 3510. The speaker 3511 and the display 3512 may be built into the device, or may be configured as separate devices using a wired connection or a short-range wireless communication connection as described in paragraph [0033].
<Embodiment 10 Process flow>

As shown in FIG. 36, the operation of the computer of such a monitoring system for the elderly executes a connection detection step of detecting connection with a body data acquisition device using a connection detection program (step 3601). Next, in a connection detection step 3601, it is checked whether or not there is new body data while connected to the body data acquisition device (step 3602). If there is no new body data (step 3602), the process advances to step 3605, which will be described later.
Next, if there is new body data (step 3602), the body data acquisition program executes a body data acquisition step of acquiring body data while connected in the connection detection step 3601 (step 3603).

Next, a body data recording step for recording the body data acquired in the body data acquisition step 3603 is executed by the body data recording program (step 3604).

Next, when a connection is detected in the connection detection step by the conversation data selection program (step 3601), a conversation data selection step is executed to select the conversation data held (step 3605). Here, an acquired body data dependent conversation data selection substep for selecting conversation data based on the body data acquired by the acquired body data dependent conversation data selection subprogram is executed (step 3606).
Next, when a connection is detected in the connection detection step by the image data selection program (step 3601), an image data selection step is executed to select the retained image data (step 3607). Here, an acquired body data dependent image data selection substep for selecting image data based on the body data acquired by the acquired body data dependent image data selection subprogram is executed (step 3608).

Next, the conversation data output program executes a conversation data output step for outputting the conversation data selected in the conversation data selection steps 3605 and 3606 within a predetermined time after connection (step 3609).
Next, the image data output program executes an image data output step of outputting the image data selected in the image data selection steps 3607 and 3608 within a predetermined time after connection with the body data acquisition device (step 3610).
Next, an attribute association step is executed in which the acquired conversation data and/or the acquired image data are analyzed and associated with attribute information by the attribute association program (step 3611).
The above processing is continued until it is completed (step 3612).

If the process does not end (step 3612), if conversation data is selected (step 3612), steps 3605 to 3611 are repeated. If no conversation data is selected (step 3612), the process returns to connection detection step 3601.
<Embodiment 10 Effects>

In this way, according to the tenth embodiment, in addition to the ninth embodiment, since conversation data and image data are selected according to the attribute information associated with the conversation data or image data, it is possible to identify elderly people, etc. Therefore, it becomes possible to watch over multiple elderly people.
<Embodiment 11>
<Embodiment 11 Overview>

The monitoring system for the elderly of Embodiment 11 is equipped with a body data acquisition device, and upon detecting connection of the body data acquisition device, outputs selected conversation data within a predetermined time from the connection.
<Embodiment 11 Configuration>

As shown in FIG. 37, the monitoring system 3700 for the elderly according to the eleventh embodiment includes a connection section 3701, a body data acquisition section 3702, a history body data storage section 3703, a body data output section 3704, and a connection detection section 3705. , a conversation data holding section 3706 , a conversation data selection section 3707 , a conversation data output section 3708 , and a body data acquisition device 3710 .
<Embodiment 11 Description of configuration>

“Body data acquisition device” 3710 acquires body data from the body.

The body data acquisition device 3710 includes an activity meter (pedometer), a thermometer, a blood pressure monitor, a pulse meter, a weight scale, an acceleration sensor, a blood glucose meter, a pulse oximeter (oxygen concentration meter), a respiration meter, and a sweat meter. It is possible to constantly collect information by wearing it on the body of elderly people, etc., and to acquire body data in the morning, noon, night, etc., when waking up, when eating, and when going to bed.
Hereinafter, the operation of the system for monitoring the elderly, etc. of Embodiment 11 will be explained.
<Embodiment 11 Effect: Hardware configuration>

As shown in FIG. 38, the computer configuration of the elderly monitoring system includes a CPU 3801, a nonvolatile memory 3802 such as an HDD or ROM, a main memory 3803 such as a D-RAM, and an interface 3804. . The nonvolatile memory 3802 stores programs such as a connection program, a body data acquisition program, a history body data retention program, a body data output program, a connection detection program, a conversation data retention program, a conversation data selection program, and a conversation data selection program. . The data includes body data, acquired body data, past acquired body data, conversation data 1, 2, 3, and so on. These programs and data are read into the holding area of the main memory 3803 and executed in the work area. The interface 3804 also includes a connection interface 3805, a body data acquisition interface 3806 for acquiring body data, a body data output interface 3807, a connection detection interface 3808, a conversation data output interface 3809, and the like. A body data acquisition device 3810 is connected to the body data acquisition interface 3806, and a speaker 3812 is connected to the conversation data output interface 3809. The speaker 3812 may be built into the device, or may be configured as a separate device using a wired connection or a short-range wireless communication connection as described in paragraph [0033].

0100 Elderly person monitoring system 0101 Connection unit 0102 Body data acquisition unit 0103 History body data retention unit 0104 Body data output unit 0105 Connection detection unit 0106 Conversation data retention unit 0107 Conversation data selection unit 0901 CPU
0902 Nonvolatile memory 0903 Main memory 0904 Interface 0905 Connection interface 0906 Body data acquisition interface 0907 Body data output interface 0908 Connection detection interface 0909 Conversation data output interface 0910 Speaker 1003 Body data acquisition step 1004 Body data recording step 1005 Conversation data selection step 1006 Conversation Data output step

Claims (6)

a connection part for connecting with a body data acquisition device for body data acquisition;
a body data acquisition unit that acquires the body data in a connected state;
a history body data holding unit that holds a plurality of acquired body data and previously acquired body data;
a body data output unit that outputs the held body data;
a connection detection unit that detects connection with the body data acquisition device ;
a conversation data holding unit that holds a plurality of conversation data;
a conversation data selection unit that selects conversation data held when the connection detection unit detects a connection;
a conversation data output unit that outputs the selected conversation data within a predetermined time after connection;
an image data holding unit that holds a plurality of image data;
an image data selection section that selects retained image data when the connection detection section detects a connection;
an image data output unit that outputs the selected image data within a predetermined time after connection;
A communications department that communicates via the Internet,
a data acquisition unit that acquires conversation data and/or image data via the communication unit;
a data recording unit that records the acquired conversation data and/or image data in a conversation data holding unit and/or an image data holding unit;
has
The conversation data and/or image data held are associated with attribute information for selection, and the conversation data and/or image data are selected by the conversation data selection unit or/and according to the associated attribute information. and selected in the image data selection section,
further comprising an attribute association unit that analyzes the acquired conversation data and/or the acquired image data and associates attribute information,
When the conversation data output unit outputs a conversation that includes a question to the elderly person, etc., the reply or conversation from the elderly person, etc. is obtained through a voice input device (for example, a microphone, etc.), and the voice of the elderly person, etc. is obtained. It is characterized by determining whether further conversation or response is necessary, and selecting conversation again if it is necessary as a result of the determination,
Elderly person monitoring system. The system for monitoring elderly people, etc. according to claim 1, further comprising a body data acquisition device that acquires body data from the body. A method executed by a CPU in a monitoring system for the elderly, which is a computer,
a connecting step for connecting with a body data acquisition device to acquire body data;
a body data acquisition step of acquiring the body data in a connected state;
a historical body data retention step for retaining a plurality of acquired body data and previously acquired body data;
a body data output step of outputting the held body data;
a connection detection step of detecting connection with the body data acquisition device;
a conversation data retention step that retains a plurality of conversation data;
a conversation data selection step for selecting conversation data held when a connection is detected in the connection detection step;
a conversation data output step of outputting the selected conversation data within a predetermined time from connection;
an image data holding step for holding a plurality of image data;
an image data selection step for selecting retained image data when a connection is detected in the connection detection step;
an image data output step of outputting the selected image data within a predetermined time after connection;
a communication step for communicating via the Internet;
a data acquisition step of acquiring conversation data and/or image data via a communication step;
a data recording step of recording the acquired conversation data and/or image data in a conversation data holding step and/or an image data holding step;
has
The conversation data and/or image data held are associated with attribute information for selection, and the conversation data and/or image data are subjected to the conversation data selection step or/and in accordance with the associated attribute information. and selected in the image data selection step,
further comprising an attribute association step of analyzing the acquired conversation data and/or the acquired image data and associating attribute information;
When a conversation including questions to the elderly person, etc. is output in the conversation data output step, replies and conversations from the elderly person, etc. are obtained through an audio input device (for example, a microphone, etc.), and the comments of the elderly person, etc. are obtained. A method characterized by determining whether further conversation or response is necessary, and selecting conversation again if it is necessary as a result of the determination . A method executed by a CPU in a monitoring system for the elderly, which is a computer,
4. The method of claim 3, further comprising a body data acquisition device that acquires body data from the body . a connecting step for connecting with a body data acquisition device to acquire body data;
a body data acquisition step of acquiring the body data in a connected state;
a historical body data retention step for retaining a plurality of acquired body data and previously acquired body data;
a body data output step of outputting the held body data;
a connection detection step of detecting connection with the body data acquisition device;
a conversation data retention step that retains a plurality of conversation data;
a conversation data selection step for selecting conversation data held when a connection is detected in the connection detection step;
a conversation data output step of outputting the selected conversation data within a predetermined time from connection;
an image data holding step for holding a plurality of image data;
an image data selection step for selecting retained image data when a connection is detected in the connection detection step;
an image data output step of outputting the selected image data within a predetermined time after connection;
a communication step for communicating via the Internet;
a data acquisition step of acquiring conversation data and/or image data via a communication step;
a data recording step of recording the acquired conversation data and/or image data in a conversation data holding step and/or an image data holding step;
has
The conversation data and/or image data held are associated with attribute information for selection, and the conversation data and/or image data are subjected to the conversation data selection step or/and in accordance with the associated attribute information. and selected in the image data selection step,
further comprising an attribute association step of analyzing the acquired conversation data and/or the acquired image data and associating attribute information;
When a conversation including questions to the elderly person, etc. is output in the conversation data output step, replies and conversations from the elderly person, etc. are obtained through an audio input device (for example, a microphone, etc.), and the comments of the elderly person, etc. are obtained. The information was readable and executable by the elderly monitoring system, which is a computer that determines whether further conversation or response is necessary, and if it is necessary as a result of the determination, selects the conversation again. Operation program for the monitoring system for the elderly . An operating program for a monitoring system for the elderly, which is written to be readable and executable by the computer for monitoring the elderly, etc., according to claim 5, further comprising a body data acquisition device for acquiring body data from the body.

Images