Monitoring system, monitoring server, and monitoring method

Abstract

To inform relevant parties about the activities of those being monitored without placing any burden on the person being monitored. [Solution] The monitoring system comprises one or more Wi-Fi sensors installed in the residential area of ​​the person to be monitored, and a monitoring server capable of receiving data from one or more Wi-Fi sensors via a router. Each Wi-Fi sensor includes a first determination unit that determines whether or not the person to be monitored is active based on CSI (Channel State Information) and a learned first model. The monitoring server receives and stores the first determination result from the first determination unit via the router. The monitoring server includes a second determination unit that determines the activity status of the person to be monitored based on the first determination result and a learned first model, and a notification unit that notifies the activity status of the person to be monitored to terminals of people related to the person to be monitored based on the second determination result from the second determination unit.

Description

Technical Field

[0001] The present disclosure relates to a monitoring system, a monitoring server, and a monitoring method using wireless sensing.

Background Art

[0002] With the aging of the nation's people and residents, there have been limitations in the system for caring for the elderly for the national government, local governments, and local stakeholders, such as increased financial expenditures and a shortage of caregivers.

[0003] In addition, the number of elderly people living alone, away from their families and relatives, has been increasing, and the number of cases of isolated death (lonely death) in single-family homes or rental properties, unknown to anyone, has also been increasing. To solve such problems, for example, a system that constructs an in-house network to support the elderly has been proposed (see, for example, Patent Document 1).

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] However, in the system of Cited Document 1, in order to monitor the person being monitored (in the present disclosure, the person to be monitored), visible light cameras and infrared cameras are installed in the residential area, which not only harms the privacy of the person being monitored but also is considered a burden on the person being monitored.

[0006] On the other hand, when an elderly person living alone dies of isolated death (lonely death), it may take time to discover. For example, when isolated death (lonely death) is left unattended in a rental property and special cleaning is required, there is also a problem that it is treated as an accident property in the real estate industry.

[0007] This disclosure was made to solve these problems, and one of its exemplary objectives is to provide a monitoring system, monitoring server, and monitoring method that can notify people related to the person being monitored about the person's activity status without imposing any burden on the person being monitored, by utilizing wireless sensing. [Means for solving the problem]

[0008] To achieve the above objectives, the monitoring system according to one aspect of this disclosure is: One or more Wi-Fi sensors are installed within the residential area of ​​the person being monitored, A monitoring server configured to receive data from one or more Wi-Fi sensors via a router, Equipped with, Each of the one or more Wi-Fi sensors is: A sensor transceiver unit that receives CSI (Channel State Information) within the residential area from the router, A first determination unit that determines whether the person being monitored is active or not based on the CSI and a first trained model, Equipped with, The sensor transmission / reception unit transmits the first determination result from the first determination unit to the monitoring server via the router. The monitoring server is A server transceiver unit that receives a first determination result from each of one or more Wi-Fi sensors via a router, A memory unit for storing the first judgment result, A second determination unit determines the activity status of the person being monitored based on the first determination result and the second trained model, Based on the second determination result by the second determination unit, a notification unit notifies the activity status of the person being monitored to the terminals of people related to the person being monitored. It is equipped with these features.

[0009] Furthermore, the monitoring system according to one aspect of this disclosure is One or more wireless sensors are installed within the residential area of ​​the person being monitored, A monitoring server configured to receive data from one or more wireless sensors, Equipped with, Each of the one or more wireless sensors is: A sensor transceiver unit that receives radio waves within the residential area, A first determination unit that determines whether the person being monitored is active or not based on radio waves and a first learned model, Equipped with, The sensor transmission / reception unit transmits the first determination result from the first determination unit to the monitoring server. The monitoring server is A server transceiver unit that receives a first determination result from each of one or more wireless sensors, A memory unit for storing the first judgment result, A second determination unit determines the activity status of the person being monitored based on the first determination result and the second trained model, Based on the second determination result by the second determination unit, a notification unit notifies the activity status of the person being monitored to the terminals of people related to the person being monitored. It is equipped with these features.

[0010] A monitoring server relating to another aspect of this disclosure is: A monitoring server configured to receive data via a router from one or more Wi-Fi sensors installed within the residential area of ​​the person being monitored, A server transceiver unit that receives a first determination result of whether or not the person being monitored is moving, as determined by each of the one or more Wi-Fi sensors, from each of the one or more Wi-Fi sensors via the router, A storage unit for storing the first judgment result received, A second determination unit determines the activity status of the person being monitored based on the first determination result and the second trained model, Based on the second determination result by the second determination unit, a notification unit that notifies the activity status of the monitored person to the terminals of the people related to the monitored person is provided.

[0011] Also, a monitoring server according to another aspect of the present disclosure is a monitoring server configured to receive data from one or more wireless sensors installed in the residential area of the monitored person, a server transceiver that receives from each of the one or more wireless sensors a first determination result as to whether the monitored person is moving, determined by each of the one or more wireless sensors, a storage unit that stores the received first determination result, a second determination unit that determines the activity status of the monitored person based on the first determination result and the learned second model, and a notification unit that notifies the activity status of the monitored person to the terminals of the people related to the monitored person based on the second determination result by the second determination unit. is provided.

[0012] A monitoring method according to yet another aspect of the present disclosure is a monitoring method executed by one or more Wi-Fi sensors installed in the residential area of the monitored person and a monitoring server configured to receive data from the one or more Wi-Fi sensors via a router, each of the one or more Wi-Fi sensors receives CSI (Channel State Information) in the residential area from the router, each of the one or more Wi-Fi sensors performs a first determination to determine whether the monitored person is active based on the CSI and the learned first model, each of the one or more Wi-Fi sensors transmits the first determination result by the first determination to the monitoring server via the router, The monitoring server receives a first determination result from each of one or more Wi-Fi sensors via a router. The monitoring server stores the received first determination result in a storage unit. The monitoring server makes a second determination to determine the activity status of the monitored person based on the first determination result and the learned second model. The monitoring server notifies the terminal of a person related to the monitored person of the activity status of the monitored person based on the second determination result of the second determination. It includes the above.

[0013] [[ID= twelve]]Also, the monitoring method according to another aspect of the present disclosure is A monitoring method executed by one or more wireless sensors installed in the residential area of the monitored person and a monitoring server configured to receive data from the one or more wireless sensors, Each of the one or more wireless sensors receives radio waves in the residential area. >Each of the one or more wireless sensors makes a first determination to determine whether the monitored person is active based on the radio waves and the learned first model. Each of the one or more wireless sensors transmits the first determination result of the first determination to the monitoring server. The monitoring server receives the first determination result from each of the one or more wireless sensors. The monitoring server stores the received first determination result in a storage unit. The monitoring server makes a second determination to determine the activity status of the monitored person based on the first determination result and the learned second model. The monitoring server notifies the terminal of a person related to the monitored person of the activity status of the monitored person based on the second determination result of the second determination. It includes the above.

Effect of the Invention

[0014] According to this disclosure, by utilizing wireless sensing, it is possible to provide a monitoring system, monitoring server, and monitoring method that can notify people related to the person being monitored about the person's activity status without imposing any burden on the person being monitored. [Brief explanation of the drawing]

[0015] [Figure 1] This is a conceptual diagram showing an example of a monitoring system according to one embodiment of the present disclosure. [Figure 2] This block diagram shows an example of the configuration of a Wi-Fi sensor, as shown in Figure 1. [Figure 3] This diagram shows an example of the placement of three Wi-Fi sensors installed within the residential area of ​​the person being monitored. [Figure 4] Figure 1 is a block diagram showing an example of the configuration of a monitoring server. [Figure 5] Figure 1 is a conceptual diagram illustrating the effectiveness of the monitoring system. [Figure 6] This is a flowchart showing an example of monitoring processing according to one embodiment of the present disclosure. [Figure 7] This is a flowchart showing an example of monitoring processing according to one embodiment of the present disclosure. [Figure 8] This is a flowchart showing an example of monitoring processing according to one embodiment of the present disclosure. [Figure 9] Figures 6 to 8 are flowcharts illustrating an example of the first determination in the monitoring process. [Figure 10] Figures 6 to 8 are flowcharts illustrating another example of the first determination in the monitoring process. [Figure 11] Figures 6 to 8 are flowcharts illustrating an example of boundary line demarcation processing for the second determination in the monitoring process. [Figure 12]Figures 6 to 8 are flowcharts illustrating an example of the home / outside determination process for the second determination in the monitoring process. [Figure 13] Figures 6 to 8 show a flowchart illustrating an example of the sleep determination process for the second determination in the monitoring process. [Figure 14] Figures 6 to 8 are flowcharts illustrating an example of the second determination in the monitoring process. [Figure 15] The flowchart shows an example of a third determination. [Modes for carrying out the invention]

[0016] The embodiments of this disclosure will be described in detail below with reference to the attached drawings. The following description is illustrative and some configurations may be omitted or modified, or additional configurations may be implemented, without departing from the spirit of one embodiment of this disclosure. The same reference numerals are used for the same components throughout this embodiment and the attached drawings, and redundant descriptions are omitted.

[0017] <Overall configuration of the monitoring system> First, the overall configuration of the monitoring system will be explained. Figure 1 is a conceptual diagram showing an example of a monitoring system 100 according to one embodiment of the present disclosure. In this embodiment, the monitoring system 100 is a monitoring system that utilizes Wi-Fi sensing and is a system for wireless visualization. Here, unlike visible light cameras and infrared sensors, Wi-Fi sensing has the characteristic of having almost no blind spots because it can detect CSIs that have gone around obstacles. In this illustrated example, a monitoring system using Wi-Fi sensing, which is an example of wireless sensing, will be explained, but it is also possible to construct the monitoring system of the present disclosure using radio waves such as 5G (fifth-generation mobile communication system) or, in the future, 6G (sixth-generation mobile communication system) instead of Wi-Fi.

[0018] As shown in Figure 1, the monitoring system 100 includes one or more Wi-Fi sensors 11-13 and a monitoring server 20. Here, as an example, we also show a self-help organization terminal (self-help monitoring organization terminal) 30 (in the case of Wi-Fi sensing, it is sufficient to go through a router), a mutual aid organization terminal (mutual aid monitoring organization terminal) 40, a private ambulance terminal (private ambulance response organization terminal) 50, a local fire station terminal 60, and a government office terminal (public assistance monitoring organization terminal) 70, to which the monitoring server 20 can transmit monitoring information via a router. The one or more Wi-Fi sensors 11-13, the monitoring server 20, the self-help organization terminal 30, the mutual aid organization terminal 40, the private ambulance terminal 50, the local fire station terminal 60, and the government office terminal 70 are configured to send and receive data and information via a network 1 such as the Internet. Note that while Figure 1 shows three Wi-Fi sensors 11-13, the number of Wi-Fi sensors is arbitrary, as will be explained later.

[0019] Furthermore, if the monitoring system is a system that utilizes 5G or 6G radio waves, wireless sensors may be used instead of Wi-Fi sensors 11-13. These wireless sensors should be configured to receive 5G or 6G radio waves and directly transmit the first judgment result, described later, to the monitoring server 20.

[0020] As described above, the monitoring system 100 disclosed herein comprises one or more Wi-Fi sensors 11-13 (three in Figure 1) installed in the residential area of ​​the person being monitored, and a monitoring server 20 configured to receive signals from one or more Wi-Fi sensors 11-13 via a router 14 (see Figure 3). The monitoring system 100 is configured to notify at least some of several terminals 30, 40, 50, 60, 70 (see Figure 1) of people related to the person being monitored in a multi-stage manner.

[0021] Note that the operation of the monitoring server 20 may be distributed among a plurality of servers instead of being performed by a single server. Also, in FIG. 1, the Wi-Fi sensors 11 to 13 are shown as being directly connected to the network 1, but in reality, the Wi-Fi sensors 11 to 13 are connected to the network 1 via a router 14, for example, as shown in FIG. 3.

[0022] The self-help organization terminal 30 is, for example, a terminal owned by a person related to the person to be monitored as designated by the person to be monitored. The persons related to the person to be monitored as designated by the person to be monitored include the family (such as children and grandchildren) of the person to be monitored who are immediate family members, and relatives and close friends designated by the person to be monitored. Also, the person related to the person to be monitored as designated by the person to be monitored may be another person or a person in the neighborhood whom the person to be monitored can trust.

[0023] The mutual assistance organization terminal 40 is a terminal owned by a member of a mutual assistance organization such as a neighborhood welfare committee member or the head of the neighborhood (such as the head of each class) in the block to which the residential area of the person to be monitored belongs, the leader of a small group, or a member of the local monitoring team. Note that the neighborhood welfare committee member, the head of the neighborhood, the leader of a small group, and the member of the mutual assistance organization are merely examples, and even if they live in a block adjacent to the block to which the residential area of the person to be monitored belongs, it is sufficient if they are a person in charge of the block to which the residential area of the person to be monitored belongs.

[0024] The private emergency terminal 50 is, for example, a terminal owned by a member of a private emergency team that has jurisdiction over the area to which the residential area of the person to be monitored belongs. The local fire department terminal 60 is, for example, a terminal owned by a member of the fire department of the municipality to which the residential area of the person to be monitored belongs. The government office terminal 70 is a terminal owned by a staff member in charge in the municipality to which the residential area of the person to be monitored belongs. Note that the government office terminal 70 may be, for example, a terminal owned by a staff member of the residents' section of the municipality.

[0025] <Configuration of Wi-Fi Sensor> Next, the configuration of each Wi-Fi sensor 11 to 13 will be described. Here, as a representative example, the configuration of Wi-Fi sensor 11 will be described. Figure 2 is a block diagram showing an example of the configuration of Wi-Fi sensor 11 shown in Figure 1. As shown in Figure 2, Wi-Fi sensor 11 includes a sensor transmitting / receiving unit 111 and a first determination unit 112.

[0026] Figure 3 shows an example of the arrangement when three Wi-Fi sensors 11-13 are installed in the living area of ​​the person being monitored. In this example, the three Wi-Fi sensors 11-13 and the router 14 are installed spaced apart from each other in the living area of ​​the person being monitored. In this example, the three Wi-Fi sensors 11-13 are configured to receive CSI (Channel State Information) wirelessly transmitted from the router 14.

[0027] In this embodiment, as shown in Figure 3, Wi-Fi sensor 11 is installed in a corner near the entrance D, Wi-Fi sensor 12 is installed in a corner in the living room B, and Wi-Fi sensor 13 is installed in a corner in the bedroom C. Router 14 is installed, for example, in a corner of the dining kitchen A, at a sufficient distance from the three Wi-Fi sensors 11-13. Note that the three Wi-Fi sensors 11-13 and router 14 should be positioned in locations suitable for determining the activity status of the person being monitored, depending on the shape of the person's living area.

[0028] The number of Wi-Fi sensors to be installed should be determined appropriately according to the size of the person's living area, the number of floors, the type and materials of the building (e.g., a wooden house or apartment, or a reinforced concrete apartment building). To improve the accuracy of the determination made by the first determination unit 112, which will be described later, it is recommended that at least three or more Wi-Fi sensors be installed in the person's living area.

[0029] In this embodiment, three Wi-Fi sensors 11 to 13 are configured to receive CSI signals from the router 14. However, if the Wi-Fi sensors themselves can transmit CSI signals, then depending on the shape of the living area of ​​the person being monitored, only one Wi-Fi sensor 11 may be configured. In this case, the Wi-Fi sensor 11 should be configured to transmit CSI signals and receive CSI signals that have been diffracted or reflected by obstacles or the like.

[0030] Furthermore, the Wi-Fi sensors 11-13 include hardware such as application-specific integrated circuits (ASICs) and software to control their operation in order to perform the following functions. The software is configured so that the Wi-Fi sensors 11-13 can perform new functions by updating the firmware via network 1. However, the Wi-Fi sensors 11-13 may be configured to operate using only hardware or only software.

[0031] The sensor transmitting / receiving unit 111 is configured to receive CSI data from within the residential area of ​​the person being monitored, and is transmitted from the router 14.

[0032] The first determination unit 112 is configured to determine whether the person being monitored is active or not based on the received CSI and a learned first model. For example, the first determination unit 112 can determine where the person being monitored is, whether they are moving or stationary, etc., based on the fluctuations in the CSI. The first determination unit 112 may also be configured to detect the movement of the person being monitored's eyelids. Furthermore, the first determination unit 112 is configured to determine whether the movement of the person being monitored is accompanied by an accelerating change. The first determination unit 112 may also be configured to detect the breathing of the person being monitored by detecting the repetitive movement of the person's chest.

[0033] Here, the first trained model is a model that has been trained by providing training data to an AI (Artificial Intelligence) to learn the actions (activity status) of the person being monitored within the residential area and the changes in CSI. The activity status of the person being monitored includes, for example, where the person being monitored is, whether the person being monitored is walking, whether the person being monitored has fallen, whether the person being monitored is moving, the movements of the person being monitored's head, arms, legs, etc., and the movements of the person being monitored's eyelids.

[0034] In this embodiment, the first model includes multiple engines for identifying movements. For example, the first model includes at least an engine 1 for distinguishing between human movements and the movements of non-human organisms, an engine 2 for distinguishing between human movements and the movements of objects, and an engine 3 for extracting accelerated movements. Non-human organisms could include the person being monitored's pets (e.g., dogs, cats, small birds, etc.). Objects that can move within the person being monitored's living area could include, for example, electric fans, ceiling fans, robotic vacuum cleaners, etc. The first model can be trained by providing it with corresponding training data. The first model may further include additional engines for determining and distinguishing other movements.

[0035] The first determination unit 112 first determines, based on the CSI and the first model, whether or not there is anything moving in the living area of ​​the person being monitored. If it determines that there is something moving, the first determination unit 112 uses engine 1 of the first model to determine whether or not the moving thing is a living being other than a person. If, based on engine 1, it determines that the moving thing is not a living being other than a person, the first determination unit 112 then uses engine 2 of the first model to determine whether or not the moving thing is an object other than a person. If, based on engine 2, it determines that the moving thing is an object other than a person, the first determination unit 112 should determine, based on the first model, that the person being monitored is inactive (not moving). On the other hand, if, based on engine 2, it determines that the moving thing is not an object other than a person, the first determination unit 112 should identify the location of the person being monitored and determine, based on the first model, that the person being monitored is active (moving).

[0036] Furthermore, if the first determination unit 112 determines that the person being monitored is active and that their movement is accompanied by an accelerating change based on the engine 3, it should determine that the person being monitored has fallen. In addition, if the first determination unit 112 determines that an object or animal other than the person being monitored is moving, it should determine that the person being monitored has stopped moving.

[0037] The sensor transmission / reception unit 111 is configured to transmit the first determination result from the first determination unit 112 to the monitoring server 20 via the router 14.

[0038] Furthermore, it is expected that the Wi-Fi standard will shift from the currently used fifth-generation Wi-Fi 5 (IEEE 802.11ac) to the sixth-generation Wi-Fi 6 (IEEE 802.11ax) or seventh-generation Wi-Fi 7 (IEEE 802.11be). In this case, the first determination unit 112 may be configured to determine the breathing of the person being monitored in real time.

[0039] <Configuration of the monitoring server> Next, the configuration of the monitoring server 20 will be described. Figure 4 is a block diagram showing an example of the configuration of the monitoring server 20 shown in Figure 1. As shown in Figure 4, the monitoring server 20 includes a server transmission / reception unit 21, a storage unit 22, a second determination unit 23, a notification unit 24, and a third determination unit 25.

[0040] The server transceiver 21 is configured to receive the first determination result from the first determination unit 112 transmitted from the Wi-Fi sensors 11 to 13 via the router 14. The storage unit 22 is configured to store the received first determination result. The storage unit 22 can be composed of, for example, an HDD (Hard Disk Drive), an SSD (Solid State Drive), etc., and can store various programs and data.

[0041] The second determination unit 23 is configured to determine the activity status of the person being monitored based on the first determination result and the trained second model. The trained second model is a model that has been trained by providing training data to the AI ​​to learn the actions (activity status) of the person being monitored in the residential area and the first determination result. The second determination unit 23 is configured to determine whether or not there is a possibility that the person being monitored has died, based on the first determination result and the second model.

[0042] Furthermore, if the second determination unit 23 determines that the person being monitored has fallen and that the person being monitored remains inactive for a predetermined period of time after the first determination unit 112 has determined that the person being monitored has fallen, the second determination unit 23 may determine that the person being monitored may have died. This predetermined period of time can be set as appropriate, for example, to 15 minutes, 30 minutes, or 1 hour.

[0043] Furthermore, the second determination unit 23 may determine whether or not the person being monitored is breathing. For example, if the first determination unit 112 determines that the person being monitored is inactive, and the second determination unit further determines that the person being monitored is not breathing, the second determination unit should determine that there is a high probability that the person being monitored has died. The second determination unit 23 may also determine changes in the breathing rate of the person being monitored. For example, if the first determination unit 112 determines that the person being monitored is inactive, and the second determination unit 23 determines that the breathing rate of the person being monitored is below a predetermined value, the second determination unit 23 should determine that the person being monitored is asleep. In addition, if the second determination unit 23 determines, for example, that the breathing of the person being monitored is labored or weak, it may determine that there is a possibility that the person being monitored may die. In such cases, the notification unit 24, described later, should inform the self-help organization terminal 30 of the fact (that there is a problem with the breathing of the person being monitored). In this case, the notification unit 24 may also inform the local fire station terminal 60, which is the terminal of a firefighter in the municipality to which the area where the person being monitored resides.

[0044] Furthermore, the second determination unit 23 is configured to define the boundary of the residential area of ​​the person being monitored based on the first determination result and the second model.

[0045] Furthermore, the second determination unit 23 is configured to detect when the person being monitored enters or leaves the residential area based on the defined boundary of the residential area. This allows the second determination unit 23 to determine whether the person being monitored is at home in the residential area or out (away). The second determination unit 23 may also determine whether the person being monitored is at home or away based on the detection results of a door sensor (not shown). In addition, if a predetermined amount of time has passed since the person being monitored left the house without returning home (i.e., without detecting any movement of the person being monitored), the second determination unit 23 may determine that the person being monitored may have died. In such a case, the notification unit 24 should notify the self-help organization terminal 30 of this fact (that the person being monitored has left the house and has not returned).

[0046] Furthermore, the second determination unit 23 may determine the sleep state of the person being monitored based on the first determination result and the second model. In this case, the second determination unit 23 only needs to determine that the person being monitored is asleep if it determines that the person being monitored is at home, has ceased activity, and the respiratory rate is below a predetermined value. In addition, the system may detect when the person being monitored has gone to sleep in bed or on a futon, and when the person being monitored has gotten out of bed or on a futon and gotten up (waked up), based on the Wi-Fi signal from the Wi-Fi sensor 13 installed in bedroom C. The sleep state and activity status of the person being monitored at home, as determined by the second determination unit 23, are stored in the memory unit 22.

[0047] The notification unit 24 is configured to notify terminals 30, 40, 50, 60, and 70 of people related to the person being monitored or government officials if the second determination unit 23 determines that there is a possibility or high probability that the person being monitored has died. The notified terminals 30, 40, 50, 60, and 70 may be configured to display the information on a screen (not shown) or generate an alert via a dedicated application, email, or SMS message. Such terminals may be mobile information terminals such as mobile phones, smartphones, or tablets, or fixed information terminals such as personal computers.

[0048] Furthermore, if the second determination unit 23 determines that there is a high probability that the person being monitored has died, the notification unit 24 can notify the self-help organization terminal 30 and the local fire station terminal 60 without waiting for a set predetermined time, such as 12 hours, to elapse. This is because private ambulance crews cannot break locks or windows to enter a residence if the door is locked. In contrast, firefighters and police officers can take such actions, so there is an advantage in notifying the local fire station terminal 60 as soon as possible.

[0049] If the second determination unit 23 determines that the person being monitored may have died, the notification unit 24 is configured to notify the self-help organization terminal 30, which is a terminal owned by a person designated by the person being monitored. Furthermore, if the self-help organization terminal 30 is notified and no response is received from the self-help organization terminal 30 within the first predetermined time, the notification unit 24 is configured to notify the mutual aid organization terminal 40, which is a terminal owned by a welfare commissioner, neighborhood head, small group leader, member of a mutual aid organization, etc. Furthermore, if, after notifying the mutual assistance organization terminal 40 of the fact, a response from the mutual assistance organization terminal 40 is not confirmed within the second predetermined time, the notification unit 24 is configured to notify the private ambulance terminal 50, which is owned by a member of a private ambulance team, the local fire station terminal 60, which is owned by a member of a municipal fire station, and the government office terminal 70, which is owned by a municipal official.

[0050] Alternatively, if the second determination unit 23 determines that there has been no activity of the person being monitored for a certain period of time, the notification unit 24 may notify the self-help organization terminal 30 of this fact. The certain period of time can be set as appropriate, for example, 24 hours. After notifying the self-help organization terminal 30 of this fact, if no response is received from the self-help organization terminal 30 within the first predetermined time, the notification unit 24 may notify the mutual aid organization terminal 40 of this fact. Furthermore, after notifying the mutual aid organization terminal 40 of this fact, if no response is received from the mutual aid organization terminal 40 within the second predetermined time, the notification unit 24 may notify the government office terminal 70 or the like of this fact.

[0051] Here, the first predetermined time can be set to, for example, 12 hours. The second predetermined time can be set to, for example, 12 hours (24 hours after the condition occurs). By setting the notification timing of the notification unit 24 in this way, for example, if there is a possibility that the person being monitored has died, the family and relatives can be notified immediately, or if no activity of the person being monitored is detected, 24 hours later. Furthermore, 12 hours after the emergency notification (36 hours if no activity is detected), the welfare commissioner, neighborhood head, small group leader, member of a mutual assistance organization can be notified, and another 12 hours later (48 hours if no activity is detected), the private ambulance service, fire department or police station, or the person in charge of the resident affairs department of the city or town can be notified. This makes it possible to avoid the increase in economic and social costs caused by leaving isolated deaths (lonely deaths) unattended without increasing the financial burden on the local government.

[0052] The above-mentioned fixed time, the first predetermined time, and the second predetermined time may be set as appropriate by the user using the monitoring system 100 or the administrator of the monitoring system 100, and may also be changed.

[0053] The memory unit 22 of the monitoring server 20 constantly stores the first and second judgment results while the monitoring system 100 is running. Therefore, the monitoring system 100 can, for example, provide data (sleep history) such as the average wake-up time, bedtime, and average sleep duration of the person being monitored, based on data from March. Thus, the activity status of the person being monitored only needs to include the person's sleep status.

[0054] The third determination unit 25 is configured to determine whether or not there are problems in the life of the person being monitored, based on the history (time-series data) of the second determination results. Examples of events that can be judged based on the history of the second determination results include the sleep of the person being monitored. In this way, the third determination unit 25 only needs to determine, based on the history of the second determination results, situations that are likely to worsen the health of the person being monitored. For example, in the case of sleep, the third determination unit 25 can determine if the number of times the person being monitored wakes up during sleep has increased, if the recent sleep patterns have changed compared to the average sleep time, or if the nap time has become longer.

[0055] The notification unit 24 may be configured to notify the self-help group terminal 30, which is a terminal of the family or relatives of the person being monitored, if the person's sleep time becomes shorter or their wake-up and bedtime become irregular. This allows the family or relatives of the person being monitored to be aware of the person's health condition.

[0056] Next, the effects of the monitoring system 100 will be briefly explained. Figure 5 is a conceptual diagram illustrating the effects of the monitoring system 100 shown in Figure 1. As shown in Figure 5, the circle of self-help can be expanded by notifying the self-help organization terminals 30 owned by the family and acquaintances of the person being monitored from the notification unit 24 of the monitoring server 20. In addition, the circle of mutual assistance can be expanded by notifying the mutual assistance organization terminals 40 owned by the welfare commissioner, neighborhood head, small group leader, member of the mutual assistance organization, etc., who are in charge of the person being monitored from the notification unit 24 of the monitoring server 20. In this case, the notification unit 24 may also notify the private ambulance terminals 50 owned by members of the private ambulance team. Furthermore, the notification unit 24 of the monitoring server 20 can notify local fire station terminals 60 owned by firefighters in the municipality to which the person being monitored belongs, and government terminals 70 owned by staff in the relevant departments such as the resident affairs division, thereby expanding the circle of public assistance. This makes it possible to prevent the unattended deaths of elderly people living alone without increasing the financial burden on local governments.

[0057] <How the monitoring system works> Next, the operation of the monitoring system 100 will be described. Figures 6 to 8 are flowcharts showing an example of monitoring processing according to one embodiment of the present disclosure. This monitoring processing is performed by the monitoring system 100 and the self-help organization terminal 30, mutual aid organization terminal 40, private ambulance terminal 50, local fire station terminal 60, and government office terminal 70 related to the person being monitored. Here, the monitoring processing performed by the monitoring system 100 will be described based on the block diagrams in Figures 1, 2, and 4 and the flowcharts in Figures 6 to 8. For the sake of simplicity, the cases in which notifications are sent to the private ambulance terminal 50 and the local fire station terminal 60 will be omitted from the monitoring processing.

[0058] First, the router 14 transmits the CSI. Each of the Wi-Fi sensors 11 to 13 receives all or part of the CSI via the sensor transceiver 111, etc. (Step S1).

[0059] Next, the first determination unit 112 of each of the Wi-Fi sensors 11 to 13 performs a first determination, as described later, based on the received CSI and first model (step S2). Then, each of the Wi-Fi sensors 11 to 13 transmits the first determination result from the first determination unit 112 to the monitoring server 20 via the sensor transceiver 111 etc. and the router 14 (step S3). When the monitoring server 20 receives the first determination result from the router 14 via the server transceiver 21, it stores the first determination result in the storage unit 22 (step S4).

[0060] Furthermore, CSI transmission from router 14 occurs every 0.2 seconds. Therefore, each of the Wi-Fi sensors 11 to 13 repeats the operation of steps S1 to S3 every 0.2 seconds.

[0061] The second determination unit 23 of the monitoring server 20 performs a second determination, as described later, based on the received first determination result and second model (step S5). The monitoring server 20 stores the second determination result from the second determination unit 23 in the storage unit 22 (step S6). The monitoring server 20 then displays the second determination result on a display unit (not shown) (step S7). The administrator of the monitoring server 20 may monitor the second determination result displayed on the display unit, and may also set up an alert to be displayed on the display unit when a problem occurs.

[0062] Next, the second determination unit 23 of the monitoring server 20 determines, based on the second determination result, whether or not there is a possibility of death of the person being monitored (step S8). If it is determined that there is no possibility of death of the person being monitored (NO in step S8), the monitoring server 20 terminates this monitoring process. On the other hand, if it is determined that there is a possibility of death of the person being monitored (YES in step S8), the notification unit 24 of the monitoring server 20 notifies the self-help organization terminal 30 of this fact via the server transmission / reception unit 21 (step S9).

[0063] When the self-help group terminal 30 receives notification to that effect (step S10), it issues an alert (step S11). This alert may be, for example, a pop-up display on a display screen (not shown), or it may be an alert made by sound or vibration. When the owner of the self-help group terminal 30 performs an operation to confirm the alert, the self-help group terminal 30 sends a response to the monitoring server 20 indicating that it has confirmed the alert. The self-help group terminal 30 will not send such a response to the monitoring server 20 unless the owner of the self-help group terminal 30 performs an alert confirmation operation.

[0064] Meanwhile, the monitoring server 20 checks and determines whether or not it has received a response from the self-help group terminal 30 via the server transmission / reception unit 21 (step S12). If it determines that a response has been received, the monitoring server 20 terminates this monitoring process because it is assumed that the owner of the self-help group terminal 30 will take the necessary action. If it determines that no response has been received, the monitoring server 20 determines whether or not a first predetermined time has elapsed since notification to that effect (step S13). The monitoring server 20 then repeatedly executes steps S12 and S13, waiting for a response from the self-help group terminal 30 until the first predetermined time has elapsed.

[0065] If the monitoring server 20 determines that a first predetermined time has elapsed without receiving a response (YES in step S13), it notifies the mutual aid organization terminal 40 of this fact via the server transceiver unit 21 (step S14). The monitoring server 20 may also notify the self-help organization terminal 30 of this fact via the server transceiver unit 21. When the self-help organization terminal 30 receives this notification (step S15), it may, for example, display an error message on its display screen (step S16).

[0066] When the mutual assistance organization terminal 40 receives notification to that effect (step S17), it issues an alert (step S18). This alert may be, for example, a pop-up display on a display screen (not shown), or it may be an alert via sound or vibration. When the owner of the mutual assistance organization terminal 40 performs an operation to confirm the alert, the mutual assistance organization terminal 40 sends a response to the monitoring server 20 indicating that it has confirmed the alert. The mutual assistance organization terminal 40 will not send such a response to the monitoring server 20 unless the owner of the mutual assistance organization terminal 40 performs an alert confirmation operation.

[0067] Meanwhile, the monitoring server 20 checks and determines whether or not it has received a response from the mutual assistance organization terminal 40 via the server transmission / reception unit 21 (step S19). If it determines that a response has been received, the monitoring server 20 considers that the owner of the mutual assistance organization terminal 40 will take the necessary action, and therefore terminates this monitoring process. If it determines that no response has been received, the monitoring server 20 determines whether or not a second predetermined time has elapsed since notification to that effect (step S20). The monitoring server 20 then repeatedly executes steps S19 and S20, waiting for a response from the mutual assistance organization terminal 40 until the second predetermined time has elapsed.

[0068] If the monitoring server 20 determines that a second predetermined time has elapsed without receiving a response (YES in step S20), it notifies the government office terminal 70 of this fact via the server transceiver unit 21 (step S21). The monitoring server 20 may also notify the mutual aid organization terminal 40 of this fact via the server transceiver unit 21. When the mutual aid organization terminal 40 receives this notification (step S22), it may, for example, display an error on its display screen (step S23).

[0069] When the government office terminal 70 receives notification to that effect (step S24), it issues an alert (step S25). This alert may be, for example, a pop-up display on a screen not shown, or it may be an alert by sound or vibration. Although not shown in the diagram, the government office terminal 70 may also output a dispatch request instruction to the local fire station terminal 60, which is the terminal of the local fire station. This will result in an ambulance or other emergency vehicle being dispatched to the residential area of ​​the person being monitored, thus preventing the isolated death (lonely death) of elderly people living alone from being left unattended. With this, the monitoring system 100 terminates its monitoring process.

[0070] Next, an example of the first determination performed in step S2 of Figure 6 will be described. Figure 9 is a flowchart showing an example of the first determination in the monitoring process shown in Figures 6 to 8. Here, the operation of the first determination will be explained using the configuration of the Wi-Fi sensor 11 shown in Figure 2.

[0071] In the first determination, the first determination unit 112 of the Wi-Fi sensor 11 first determines whether or not there is anything moving in the living area of ​​the person being monitored, based on the received CSI and the first model (step S101). If it determines that there is nothing moving, the first determination unit 112 terminates this first determination.

[0072] On the other hand, if the first determination unit 112 determines that there is something moving, it then uses the engines 1 and 2 described above to determine whether or not the moving thing is a person (step S102). If it determines that the moving thing is not a person, the first determination unit 112 terminates this first determination. On the other hand, if it determines that the moving thing is a person, the first determination unit 112 identifies the location of the person, i.e., the person being monitored (step S103), and terminates this first determination.

[0073] Next, we will describe another example of the first determination. Figure 10 is a flowchart showing another example of the first determination in the monitoring process shown in Figures 6 to 8. Here, we will explain the operation of the first determination using the configuration of the Wi-Fi sensor 11 shown in Figure 2.

[0074] In the first determination, the first determination unit 112 first compares the current location of the person being monitored with the location of the person being monitored determined in the previous determination (step S201). Then, based on the comparison result, the first determination unit 112 determines whether or not there has been movement of the person being monitored (step S202). If it determines that there has been no movement of the person being monitored, the first determination unit 112 determines that the person being monitored has stopped moving (step S203) and terminates this first determination.

[0075] On the other hand, if the system determines that there is movement of the person being monitored, the first determination unit 112 then determines whether or not the movement is accompanied by an accelerating change (step S204). If it determines that the movement is not accompanied by an accelerating change, the first determination unit 112 determines that the person being monitored is active (step S206) and terminates this first determination. Such movement is, for example, when the person being monitored is walking around the residential area. On the other hand, if it determines that the movement is accompanied by an accelerating change, the first determination unit 112 determines that the person being monitored has fallen (step S205) and terminates this first determination.

[0076] Next, we will describe some examples of the second determination performed in step S5 of Figure 6. First, we will describe the boundary demarcation process that is a prerequisite for the second determination. Figure 11 is a flowchart showing an example of the boundary demarcation process that is a prerequisite for the second determination in the monitoring process shown in Figures 6 to 8.

[0077] In the boundary demarcation process, the second determination unit 23 defines the boundary of the monitored person's residential area based on the first determination result and the second model (step S301). For example, the second determination unit 23 may define the boundary of the monitored person's residential area based on the delay time of CSI reflected by the walls of the monitored person's residential area. The monitoring server 20 then stores the boundary information regarding the residential area boundary in the storage unit 22 (step S302) and terminates this boundary demarcation process.

[0078] Next, we will explain the home / outside determination process, which is the premise for the second determination. Because the boundary line of the residential area of ​​the person being monitored has been determined by the boundary line demarcation process, this home / outside determination process becomes possible. Figure 12 is a flowchart showing an example of the home / outside determination process, which is the premise for the second determination in the monitoring process shown in Figures 6 to 8. In the home / outside determination process, the second determination unit 23 first reads the determination result of the home / outside determination process that was executed last time (step S401). In the case of the first home / outside determination process for which no determination result exists, the second determination unit 23 may, for example, use the first determination result from the first determination unit 112 to determine whether the person being monitored is at home or out.

[0079] The second determination unit 23 then determines whether the person being monitored is at home or not based on the read determination result (step S402). If it determines that the person is at home, the second determination unit 23 determines whether the person being monitored is moving outside the residential area or not based on the first determination result and the second model (step S403). If it determines that there is no movement outside the residential area, the second determination unit 23 assumes that the person being monitored is inside the residential area and therefore determines that the person is at home (step S405), stores the determination result in the storage unit 22 (step S408), and terminates this home / outing determination process. On the other hand, if there is movement outside the residential area, the second determination unit 23 assumes that the person being monitored has left the residential area and therefore determines that the person is out (step S404), stores the determination result in the storage unit 22 (step S408), and terminates this home / outing determination process.

[0080] In S402, if it is determined that the person being monitored is not at home, it is determined that the person being monitored is out, and the second determination unit 23 determines, based on the first determination result and the second model, whether or not there is movement of the person being monitored into the residential area (step S406). If it is determined that there is no movement of the person being monitored into the residential area, the second determination unit 23 determines that the person is out (step S407), stores the determination result in the storage unit 22 (step S408), and terminates this home / outside determination process. On the other hand, if it is determined that the person being monitored is moving into the residential area, the second determination unit 23 assumes that the person being monitored has returned from going out, so it determines that the person is at home (step S405), stores the determination result in the storage unit 22 (step S408), and terminates this home / outside determination process.

[0081] Next, we will explain the sleep determination process, which is the premise for the second determination. Figure 13 is a flowchart showing an example of the sleep determination process for the second determination in the monitoring process shown in Figures 6 to 8. This sleep determination process only needs to be performed at predetermined time intervals. In the sleep determination process, the second determination unit 23 first determines whether or not the person being monitored is at home based on the information stored in the memory unit 22 (step S501). If it is determined that the person being monitored is not at home, the second determination unit 23 terminates the sleep determination process.

[0082] On the other hand, if the monitoring unit determines that the person being monitored is at home, the second determination unit 23 then determines whether the first determination result is inactivity or not (step S502). If it determines that the person is not inactivity, the second determination unit 23 determines that the person being monitored is awake (step S503), stores the time at which it determined the person was awake (step S504), and proceeds to step S508. On the other hand, if it determines that the person is inactivity, the second determination unit 23 then determines whether the respiratory rate is below a predetermined value (step S505).

[0083] If the respiratory rate is determined to be not below a predetermined value, the second determination unit 23 determines that the person being monitored is awake (step S503), stores the time at which the person was determined to be awake (step S504), and proceeds to step S508. If the person is not inactive and the respiratory rate is also greater than the predetermined value, it is assumed that the person being monitored is awake but not moving, for example, by reading a book in bed or under the covers.

[0084] On the other hand, if in step S505 the second determination unit 23 determines that the respiratory rate is below a predetermined value, it determines that the person being monitored is asleep (step S506), stores the time at which it determined the person was asleep (step S507), and proceeds to step S508.

[0085] Next, the second determination unit 23 determines whether the above determination of the person being monitored has changed from sleeping to awake (step S508). If it determines that the person has not changed from sleeping to awake, the second determination unit 23 terminates the sleep determination process. On the other hand, if it determines that the person has changed from sleeping to awake, the second determination unit 23 determines the sleep duration of the person being monitored from the time it was determined that the person was sleeping, stores the determined sleep duration in the memory unit 22 (step S509), and terminates this sleep determination process.

[0086] Next, an example of the second determination will be explained. Figure 14 is a flowchart showing an example of the second determination in the monitoring process shown in Figures 6 to 8. This second determination only needs to be performed at predetermined time intervals. In the second determination, the second determination unit 23 first determines whether or not the person being monitored is at home based on the information stored in the memory unit 22 (step S601). If it is determined that the person being monitored is not at home, the second determination unit 23 terminates the second determination.

[0087] On the other hand, if the second determination unit 23 determines that the person being monitored is at home, it then reads the first determination result from the memory unit 22 and determines whether or not the person being monitored is inactive (step S602) (see step S203 in Figure 10). If the second determination unit 23 determines that the person being monitored is not inactive, it determines that the person being monitored is alive (step S609) and terminates this second determination.

[0088] On the other hand, if in step S602 it is determined that the person being monitored has ceased activity, the second determination unit 23 then determines whether or not the person being monitored is breathing based on the first determination result and the second model (step S603). If it is determined that the person is breathing, the second determination unit 23 then determines whether or not a predetermined amount of time has elapsed since the person ceased activity (step S604). On the other hand, if it is determined that the person is not breathing, it is assumed that the person being monitored has ceased activity and is not breathing, so the second determination unit 23 determines that there is a high possibility that the person being monitored has died (step S604), instructs the notification unit 24 to notify the local fire station terminal 60 (step S605), and ends this second determination.

[0089] In step S606, if it is determined that a predetermined time has elapsed since the person ceased activity, the second determination unit 23 determines that there is a possibility that the person being monitored has died (step S608) and terminates this second determination. On the other hand, if it is determined that a predetermined time has not elapsed since the person ceased activity, the second determination unit 23 determines that the person being monitored is still inactive (step S607) and terminates this second determination.

[0090] Finally, an example of the third determination will be described. Here, an example based on the sleep history in the history of the second determination results will be described. Figure 15 is a flowchart of an example of the third determination. This third determination should be performed, for example, when the monitoring server 20 receives a determination request from a self-help organization terminal 30 of a related party designated by the person being monitored. In the third determination, the third determination unit 25 first reads the sleep history of the person being monitored stored in the memory unit 22 (step S701).

[0091] Next, the third determination unit 25 determines, based on the sleep history, whether the number of times the monitored person wakes up during sleep has increased (step S702). If it determines that the number of times the person wakes up has increased, the third determination unit 25 determines that the monitored person may be unwell (step S703) and terminates this third determination. On the other hand, if it determines that the number of times the person wakes up has not increased, the third determination unit 25 then determines whether there has been a change in the average sleep time (step S704).

[0092] If the third determination unit 25 determines that there is a change in the average sleep time, it determines that the person being monitored may be unwell (step S703) and terminates this third determination. On the other hand, if the third determination unit 25 determines that there is no change in the average sleep time, it then determines whether the person being monitored has taken a long nap (step S705).

[0093] If the third determination unit 25 determines that the nap time is long, it determines that the person being monitored may be unwell (step S703) and terminates this third determination. On the other hand, if the third determination unit 25 determines that the nap time is not long, it determines that there is no problem with the person being monitored (step S706) and terminates this third determination.

[0094] Furthermore, in step S703, if it is determined that the person being monitored may be unwell, the monitoring server 20 should notify the self-help organization terminal 30 of this fact via the server transmission / reception unit 21. In addition, although the third determination in this example was performed for three types of states, the types of determination are not limited to these, and many types may be set to be selectable. In that case, the owner of the self-help organization terminal 30 may set the person they want to be determined.

[0095] As described above, the monitoring system 100 according to this embodiment is configured to include one or more Wi-Fi sensors 11 to 13 installed in the living area of ​​the person to be monitored, and a monitoring server 20 configured to receive data from one or more Wi-Fi sensors 11 to 13 via a router. Each of the one or more Wi-Fi sensors 11 to 13 is configured to include a sensor transmitting / receiving unit 111 that receives CSI (Channel State Information) of the living area from a router 14, and a first determination unit 112 that determines whether or not the person to be monitored is active based on the CSI and a learned first model. Here, the sensor transmitting / receiving unit 111 is configured to transmit the first determination result from the first determination unit 112 to the monitoring server 20 via the router 14. Furthermore, the monitoring server 20 is configured to include a server transmission / reception unit 21 that receives the first determination result from each of the one or more Wi-Fi sensors 11 to 13, a storage unit 22 that stores the received first determination result, a second determination unit 23 that determines the activity status of the person being monitored based on the first determination result and a learned second model, and a notification unit 24 that notifies the activity status of the person being monitored to a self-help organization terminal 30, a mutual aid organization terminal 40, a private ambulance terminal 50, a local fire station terminal 60, or a government office terminal 70 of the person related to the person being monitored, based on the second determination result from the second determination unit 23. By configuring the monitoring system 100 according to this embodiment in this way, by utilizing Wi-Fi (i.e., wireless) sensing, the activity status of the person being monitored can be notified to people related to the person being monitored without imposing any burden on the person being monitored. This has the unique effect of allowing people related to the person being monitored to be notified early if there is a problem with the person being monitored. In particular, when the second determination unit 23 determines whether or not there is a possibility that the person being monitored has died, it is possible to notify people related to the person being monitored early, thus avoiding the situation where a rental property becomes a stigmatized property due to neglecting an isolated death (lonely death), without increasing the financial burden on the local government.

[0096] Furthermore, the monitoring server 20 according to this embodiment is configured to receive data via a router from one or more Wi-Fi sensors 11 to 13 installed in the residential area of ​​the person being monitored, and includes a server transmitting / receiving unit 21 that receives a first determination result of whether or not the person being monitored is moving, determined by each of the one or more Wi-Fi sensors 11 to 13, via a router from each of the one or more Wi-Fi sensors 11 to 13, a storage unit 22 that stores the received first determination result, a second determination unit 23 that determines the activity status of the person being monitored based on the first determination result and a learned second model, and a notification unit 24 that notifies the activity status of the person being monitored to a self-help organization terminal 30, a mutual aid organization terminal 40, a private ambulance terminal 50, a local fire station terminal 60, or a government office terminal 70 of people related to the person being monitored, based on the second determination result by the second determination unit 23. By configuring the monitoring server 20 according to this embodiment in this way, the same effects as the monitoring system 100 described above can be achieved.

[0097] Furthermore, in the monitoring server 20 according to this embodiment, the monitoring server (20) further includes a third determination unit 25 that determines whether or not there is a problem in the life of the person being monitored based on the history of the second determination results, and the notification unit (24) may notify the self-help organization terminal 30 of the person related to the person being monitored if the third determination unit 25 determines that there is a problem in the sleep situation of the person being monitored. This has the unique effect of allowing people related to the person being monitored to be notified early if there is a problem with the person being monitored.

[0098] Furthermore, the monitoring method according to this embodiment is a monitoring method performed by one or more Wi-Fi sensors 11-13 installed in the residential area of ​​the person to be monitored, and a monitoring server 20 configured to receive data from one or more Wi-Fi sensors 11-13. This monitoring method involves one or more Wi-Fi sensors 11-13 receiving CSI data within the residential area from a router 14, one or more Wi-Fi sensors 11-13 performing a first determination to determine whether or not the person to be monitored is active based on the CSI and a learned first model, one or more Wi-Fi sensors 11-13 transmitting the first determination result from the first determination to the monitoring server 20 via the router 14, and the monitoring server 20 receiving the first determination result from one or more Wi-Fi sensors 11-13 The monitoring method is configured to include receiving data from each of the following: the monitoring server 20 storing the received first determination result in the storage unit 22; the monitoring server 20 performing a second determination to determine the activity status of the person being monitored based on the first determination result and the learned second model; and the monitoring server 20 notifying the activity status of the person being monitored to the self-help organization terminal 30, mutual aid organization terminal 40, private ambulance terminal 50, local fire station terminal 60, or government office terminal 70 of the person related to the person being monitored, based on the second determination result. By configuring the monitoring method according to this embodiment in this way, the same effects as the monitoring system 100 described above can be achieved.

[0099] Note that monitoring systems utilizing 5G or 6G radio waves (not shown) use wireless sensors instead of Wi-Fi sensors 11-13. This monitoring system is configured to include one or more wireless sensors installed in the living area of ​​the person being monitored, and a monitoring server configured to receive data from one or more wireless sensors. Each of the one or more wireless sensors includes a sensor transmitting / receiving unit that receives radio waves in the living area, and a first determination unit that determines whether or not the person being monitored is active based on the radio waves and a learned first model. The sensor transmitting / receiving unit should be configured to transmit the first determination result from the first determination unit to the monitoring server. Furthermore, the monitoring server may be configured to include a server transceiver unit that receives a first determination result from each of one or more wireless sensors, a storage unit that stores the first determination result, a second determination unit that determines the activity status of the person being monitored based on the first determination result and a learned second model, and a notification unit that notifies the terminals of people related to the person being monitored of the activity status of the person being monitored based on the second determination result from the second determination unit. The monitoring server and monitoring method may also be constructed with a similar configuration.

[0100] Although the exemplary embodiments of this disclosure have been described above, it goes without saying that the present invention is not limited to these embodiments and can be implemented in various forms without departing from its spirit. For example, in the above embodiments, the monitoring system 100 was described as a single device, but the processing of the various functions realized by the monitoring system 100 may be configured to be executed in a distributed manner across multiple devices or servers. [Explanation of symbols]

[0101] 1. Network (Internet) 11-13 Wi-Fi Sensor 111 Sensor Transmitter / Receiver Unit 112 First determination unit 14 Routers 20 Monitoring Server 21 Server Transceiver Unit 22 Memory section 23 Second Judgment Unit 24 Hochi Department 25 Third Judgment Section 30 Self-Help Organization Terminals 40 Mutual aid organization terminals 50 Private ambulance terminals 60 Regional Fire Station Terminals 70 Government Office Terminals 100 Monitoring System

Claims

1. One or more Wi-Fi sensors are installed within the residential area of ​​the person being monitored, A monitoring server configured to receive data from one or more Wi-Fi sensors via a router, Equipped with, Each of the one or more Wi-Fi sensors is: A sensor transmitting and receiving unit that receives CSI (Channel State Information) within the residential area from the router, A first determination unit that determines whether the person being monitored is active or not based on the CSI and a first trained model, Equipped with, The sensor transmission / reception unit transmits the first determination result from the first determination unit to the monitoring server via the router. The aforementioned monitoring server is A server transceiver unit that receives the first determination result from each of the one or more Wi-Fi sensors via the router, A storage unit for storing the first determination result, A second determination unit that determines the activity status of the person being monitored based on the first determination result and the second learned model, Based on the second determination result by the second determination unit, a notification unit notifies the activity status of the person being monitored to the terminals of people related to the person being monitored, Equipped with, Monitoring system.

2. One or more wireless sensors are installed within the residential area of ​​the person being monitored, A monitoring server configured to receive data from one or more wireless sensors, Equipped with, Each of the one or more wireless sensors is A sensor transmitting and receiving unit that receives radio waves within the residential area, A first determination unit that determines whether the person being monitored is active or not based on the radio waves and a learned first model, Equipped with, The sensor transmitting / receiving unit transmits the first determination result from the first determination unit to the monitoring server. The aforementioned monitoring server is A server transceiver unit that receives the first determination result from each of the one or more wireless sensors, A storage unit for storing the first determination result, A second determination unit that determines the activity status of the person being monitored based on the first determination result and the second learned model, Based on the second determination result by the second determination unit, a notification unit notifies the activity status of the person being monitored to the terminals of people related to the person being monitored, Equipped with, Monitoring system.

3. The second determination unit determines, based on the first determination result and the second model, whether or not the person being monitored may have died. If the notification unit determines, based on the second determination unit, that the person being monitored may have died, it will notify the terminals of persons related to the person being monitored of that fact. The monitoring system according to claim 1 or 2.

4. The monitoring server further comprises a third determination unit that determines whether or not there is a problem in the life of the person being monitored, based on the history of the second determination result, If the notification unit determines, based on the third determination unit, that there is a problem in the life of the person being monitored, it will notify the terminals of people related to the person being monitored. The monitoring system according to claim 1 or 2.

5. The first determination unit is, Based on the CSI and the first model, it is determined whether or not there are any moving objects in the living area. If it is determined that there is something moving within the residential area, then, based on the first model, it is determined whether or not the moving thing is a living organism other than a human. If it is determined that the moving object is not a living being other than a human, then, based on the first model, it is determined whether or not the moving object is an object other than a human. If it is determined that the moving object is something other than a person, it is determined that the person being monitored is not active; if it is determined that the moving object is not something other than a person, it is determined that the person being monitored is active based on the first model. The monitoring system according to claim 1.

6. If the first determination unit determines that the person being monitored is not active, and the second determination unit determines that a predetermined time has elapsed, the second determination unit determines that the person being monitored may have died. The monitoring system according to claim 1 or 2.

7. If the first determination unit determines that the person being monitored is active, it further determines whether the person's movements are accompanied by an accelerating change, and if it determines that the person's movements are accompanied by an accelerating change, it determines that the person being monitored has fallen. If, after the first determination unit determines that the person being monitored has fallen, the first determination unit determines again that the person being monitored is not active, and a predetermined time has elapsed, the second determination unit determines that the person being monitored may have died. The monitoring system according to claim 1 or 2.

8. The second determination unit determines whether the person being monitored is breathing, and if the first determination unit determines that the person being monitored is not active, and the second determination unit further determines that the person being monitored is not breathing, then the second determination unit determines that there is a high probability that the person being monitored has died. The monitoring system according to claim 1 or 2.

9. The second determination unit determines whether the respiratory rate of the person being monitored is below a predetermined value, and if the first determination unit determines that the person being monitored is not active, and the second determination unit further determines that the respiratory rate is below a predetermined value, the second determination unit determines that the person being monitored is asleep. The monitoring system according to claim 1 or 2.

10. The first determination unit determines whether or not the eyelids of the person being monitored are moving, and if it determines that the eyelids of the person being monitored are moving, it determines that the person being monitored is active. The monitoring system according to claim 1 or 2.

11. The second determination unit defines the boundary of the residential area based on the first determination result and the second model, and detects whether the person being monitored has entered or left the residential area. The monitoring system according to claim 1 or 2.

12. The persons related to the aforementioned person under observation include the persons designated by the aforementioned person under observation, the welfare commissioners of the neighborhood to which the aforementioned residential area belongs, the neighborhood head, the head of a small group, members of a mutual assistance organization, members of a private ambulance service, members of the fire department of the city or town to which the aforementioned residential area belongs, and the relevant staff members of the city or town to which the aforementioned residential area belongs. The aforementioned notification department, If the second determination unit determines that the person being monitored may have died, it will notify the terminal owned by the designated person concerned of this fact. After notifying the terminal owned by the designated person, if no response is received from the terminal owned by the designated person within the first predetermined time, the terminal owned by the welfare commissioner, the neighborhood head, the head of the small group, or a member of the mutual assistance organization shall be notified. After notifying the terminals owned by the aforementioned welfare commissioner, the aforementioned neighborhood head, the aforementioned small group leader, and the members of the aforementioned mutual assistance organization, if no response is received from the terminals owned by the aforementioned welfare commissioner, the aforementioned neighborhood head, the aforementioned small group leader, and the members of the aforementioned mutual assistance organization within the second predetermined time, then notifying the terminals owned by the members of the aforementioned private ambulance service, the members of the fire department of the city or town to which the residential area belongs, or the relevant staff member of the city or town shall be notified. The monitoring system according to claim 3.

13. The persons related to the aforementioned person under observation include the persons designated by the aforementioned person under observation, the welfare commissioners of the neighborhood to which the aforementioned residential area belongs, the neighborhood head, the head of a small group, members of a mutual assistance organization, members of a private ambulance service, members of the fire department of the city or town to which the aforementioned residential area belongs, and the relevant staff members of the city or town to which the aforementioned residential area belongs. The aforementioned notification department, If the second determination unit determines that the person being monitored is not active for a certain period of time, it notifies the designated person's terminal, After notifying the terminal owned by the designated person, if no response is received from the terminal owned by the designated person within the first predetermined time, the terminal owned by the welfare commissioner, the neighborhood head, the head of the small group, or a member of the mutual assistance organization shall be notified. After notifying the terminals owned by the aforementioned welfare commissioner, the aforementioned neighborhood head, the aforementioned small group leader, and the members of the aforementioned mutual assistance organization, if no response is received from the terminals owned by the aforementioned welfare commissioner, the aforementioned neighborhood head, the aforementioned small group leader, and the members of the aforementioned mutual assistance organization within the second predetermined time, then notifying the terminals owned by the members of the aforementioned private ambulance service, the members of the fire department of the city or town to which the residential area belongs, or the relevant staff member of the city or town shall be notified. The monitoring system according to claim 1 or 2.

14. A monitoring server configured to receive data via a router from one or more Wi-Fi sensors installed within the residential area of ​​the person being monitored, A server transceiver unit that receives a first determination result of whether or not the person to be monitored is active, as determined by each of the one or more Wi-Fi sensors, from each of the one or more Wi-Fi sensors via the router, A storage unit for storing the received first determination result, A second determination unit that determines the activity status of the person being monitored based on the first determination result and the second learned model, Based on the second determination result by the second determination unit, a notification unit notifies the activity status of the person being monitored to the terminals of people related to the person being monitored, Equipped with, Monitoring server.

15. A monitoring server configured to receive data from one or more wireless sensors installed within the residential area of ​​the person being monitored, A server transceiver unit that receives a first determination result from each of the one or more wireless sensors, which determines whether or not the person being monitored is active, A storage unit for storing the received first determination result, A second determination unit that determines the activity status of the person being monitored based on the first determination result and the second learned model, Based on the second determination result by the second determination unit, a notification unit notifies the activity status of the person being monitored to the terminals of people related to the person being monitored, Equipped with, Monitoring server.

16. The monitoring server further includes a third determination unit that determines whether or not there is a problem in the life of the person being monitored, based on the history of the second determination results. If the notification unit determines, based on the third determination unit, that there is a problem in the life of the person being monitored, it will notify the terminals of people related to the person being monitored. The monitoring server according to claim 14 or 15.

17. A monitoring method that is performed by one or more Wi-Fi sensors installed in the residential area of ​​the person to be monitored, and a monitoring server configured to receive data from the one or more Wi-Fi sensors via a router, Each of the one or more Wi-Fi sensors receives the CSI (Channel State Information) for the residential area from the router, Each of the one or more Wi-Fi sensors performs a first determination to determine whether the person being monitored is active or not, based on the CSI and a first learned model. Each of the one or more Wi-Fi sensors transmits the first determination result obtained by the first determination to the monitoring server via the router. The monitoring server receives the first determination result from each of the one or more Wi-Fi sensors via the router, The monitoring server stores the received first determination result in the storage unit, The monitoring server performs a second determination to determine the activity status of the person being monitored, based on the first determination result and the second learned model. Based on the second determination result obtained by the second determination, the monitoring server notifies the activity status of the person being monitored to the terminals of people related to the person being monitored. including, Methods of monitoring.

18. A monitoring method that is performed by one or more wireless sensors installed in the residential area of ​​the person to be monitored, and a monitoring server configured to receive data from the one or more wireless sensors, Each of the one or more wireless sensors receives radio waves within the residential area, Each of the one or more wireless sensors performs a first determination based on the radio waves and a learned first model to determine whether or not the person being monitored is active. Each of the one or more wireless sensors transmits the first determination result obtained by the first determination to the monitoring server. The monitoring server receives the first determination result from each of the one or more wireless sensors, The monitoring server stores the received first determination result in the storage unit, The monitoring server performs a second determination to determine the activity status of the person being monitored, based on the first determination result and the second learned model. Based on the second determination result obtained by the second determination, the monitoring server notifies the activity status of the person being monitored to the terminals of people related to the person being monitored. including, Methods of monitoring.

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