KR102537316B1 - Situation monitoring system based on activity sensor - Google Patents

Abstract

The present invention relates to a situation monitoring system based on an activity sensor, comprising: a radar measuring device for detecting a user's biological signal in an indoor environment; a monitoring server receiving the vital signals collected by the radar measuring device and detecting an occurrence of an emergency for the user in the indoor environment; and a user terminal that interworks with each of the radar measurer and the monitoring server through a dedicated application. Accordingly, the present invention can effectively detect the user's emergency situation by detecting bio signals in an indoor environment such as a home or an office.

Description

Activity sensor-based situation monitoring system {SITUATION MONITORING SYSTEM BASED ON ACTIVITY SENSOR}

The present invention relates to a situation monitoring technology based on an activity sensor, and more particularly, to a situation monitoring system based on an activity sensor capable of effectively detecting the occurrence of an emergency situation of a user by detecting a vital signal in an indoor environment such as a home or an office. it's about

Biometric information monitoring techniques are applied in various fields, but most applications monitor biometric information by installing measuring equipment on the body of a target object (e.g., human or animal) for measuring biometric information or having the target object wear the measuring equipment technique is being used.

However, conventional wearable measuring devices are often expensive and cause discomfort while a target object is wearing them. In particular, it is very cumbersome to wear such equipment even during sleep in order to measure biometric information during sleep.

In addition, recently, the problem of lonely death of the elderly living alone has emerged as a social problem, and monitoring life information of patients with severe diseases in facilities for the disabled, senior citizens, and security facilities is one of the main ways to solve this problem.

Therefore, development of a method capable of periodically checking the occupancy or activity of a measurement target object (eg, a person living alone) and effectively monitoring biometric information without causing discomfort to the measurement target object is required. need.

Korean Patent Registration No. 10-1952691 (2019.02.21)

An embodiment of the present invention is to provide a situation monitoring system based on an activity sensor capable of effectively detecting the occurrence of a user's emergency situation by detecting a vital signal in an indoor environment such as a home or an office.

An embodiment of the present invention is to provide a situation monitoring system based on an activity sensor capable of effectively monitoring biological signals through a radar measuring device with improved signal selection capability and life information processing function.

Among the embodiments, a situation monitoring system based on an activity sensor includes a radar measuring device that detects a user's biological signal in an indoor environment; a monitoring server receiving the vital signals collected by the radar measuring device and detecting an occurrence of an emergency for the user in the indoor environment; and a user terminal that interworks with each of the radar measurer and the monitoring server through a dedicated application.

The radar measurer includes a signal measurer configured to emit at least one wireless signal into a sensor sensing area formed in front and measure the biosignal as a result of receiving derivative signals derived from the at least one wireless signal; and a support portion supporting the signal measurement unit in a state in which a bottom surface is fixed, wherein the sensor detection area is formed at a distance of 5 m from the front surface of the signal measurement unit and is defined as a horizontal distance and a vertical distance. plane) may be included.

The radar measuring device may collect the user's occupancy, activity, respiration rate, and heart rate as the physiological signals, and the monitoring server may provide an interface for visualizing and displaying the physiological signals.

The monitoring server determines whether the user is present based on the physiological signal, tracks whether the user is active or not according to the user's presence, and moves motion data according to the user's movement continuously for a first predetermined time. If it occurs, it is processed as the user's activity, and based on the frequency of processing the user's activity for a predetermined second time period, an activity amount related to the user's movement may be calculated and graded.

The monitoring server updates whether or not the user is in the room according to the respiratory rate and heart rate of the bio-signal when the processing of the user's activity continuously fails for a predetermined third time, and according to the update, the user's occupancy is determined by the predetermined third time. If it continuously occurs beyond the fourth time of the emergency situation, a notification about the emergency may be transmitted to the user terminal.

The monitoring server may detect whether each of the respiratory rate and the heart rate is out of a preset normal range, and generate the notification when the number of detections exceeds a preset reference number.

The monitoring server sets a normal range, an observation range, and an intervention range for each of the respiratory rate and heart rate, collects the distribution in the observation range and the intervention range for each detection, and determines the pattern and ratio for each range of the distribution. Accordingly, the grade of the emergency situation may be determined, and the notification may be differentially generated according to the grade.

The disclosed technology may have the following effects. However, it does not mean that a specific embodiment must include all of the following effects or only the following effects, so it should not be understood that the scope of rights of the disclosed technology is limited thereby.

An activity sensor-based situation monitoring system according to an embodiment of the present invention can effectively detect the user's emergency situation by detecting bio signals in an indoor environment such as a home or an office.

An activity sensor-based situation monitoring system according to an embodiment of the present invention can effectively perform bio-signal monitoring through a radar measuring device with improved signal selection capability and life information processing function.

1 is a diagram illustrating a situation monitoring system according to the present invention.
FIG. 2 is a diagram illustrating an embodiment of the radar measurer of FIG. 1 .
FIG. 3 is a diagram illustrating functions of the radar measuring device of FIG. 1 .
4 is a diagram illustrating a functional configuration of the monitoring server of FIG. 1 .
5 is a flowchart illustrating an embodiment of an operating process of a situation monitoring system according to the present invention.
6 is a diagram illustrating an embodiment of an interface provided by the monitoring server of FIG. 1 .

Since the description of the present invention is only an embodiment for structural or functional description, the scope of the present invention should not be construed as being limited by the embodiments described in the text. That is, since the embodiment can be changed in various ways and can have various forms, it should be understood that the scope of the present invention includes equivalents capable of realizing the technical idea. In addition, since the object or effect presented in the present invention does not mean that a specific embodiment should include all of them or only such effects, the scope of the present invention should not be construed as being limited thereto.

Meanwhile, the meaning of terms described in this application should be understood as follows.

Terms such as "first" and "second" are used to distinguish one component from another, and the scope of rights should not be limited by these terms. For example, a first element may be termed a second element, and similarly, a second element may be termed a first element.

It should be understood that when an element is referred to as being “connected” to another element, it may be directly connected to the other element, but other elements may exist in the middle. On the other hand, when an element is referred to as being "directly connected" to another element, it should be understood that no intervening elements exist. Meanwhile, other expressions describing the relationship between components, such as “between” and “immediately between” or “adjacent to” and “directly adjacent to” should be interpreted similarly.

Expressions in the singular number should be understood to include plural expressions unless the context clearly dictates otherwise, and terms such as “comprise” or “having” refer to an embodied feature, number, step, operation, component, part, or these. It should be understood that it is intended to indicate that a combination exists, and does not preclude the possibility of the presence or addition of one or more other features, numbers, steps, operations, components, parts, or combinations thereof.

In each step, the identification code (eg, a, b, c, etc.) is used for convenience of explanation, and the identification code does not describe the order of each step, and each step clearly follows a specific order in context. Unless otherwise specified, it may occur in a different order than specified. That is, each step may occur in the same order as specified, may be performed substantially simultaneously, or may be performed in the reverse order.

The present invention can be implemented as computer readable code on a computer readable recording medium, and the computer readable recording medium includes all types of recording devices storing data that can be read by a computer system. . Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tape, floppy disk, and optical data storage devices. In addition, the computer-readable recording medium may be distributed to computer systems connected through a network, so that computer-readable codes may be stored and executed in a distributed manner.

All terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs, unless defined otherwise. Terms defined in commonly used dictionaries should be interpreted as consistent with meanings in the context of the related art, and cannot be interpreted as having ideal or excessively formal meanings unless explicitly defined in the present application.

1 is a diagram illustrating a situation monitoring system according to the present invention.

Referring to FIG. 1 , a situation monitoring system 100 may include a radar measurer 110 , a monitoring server 130 and a user terminal 150 .

The radar measuring device 110 may correspond to a device installed in a specific indoor space and capable of detecting a person existing in the space and measuring a vital signal. That is, the radar measurer 110 may emit a radio signal into an indoor space and collect various situational information about the corresponding indoor space by receiving derived signals derived therefrom.

The radar measurer 110 may be connected to the monitoring server 130 and the user terminal 150 through a network, and a plurality of radar measurers 110 may be installed and operated in the same indoor space as needed.

In addition, the radar measurer 110 may be implemented by including an antenna and a receiver for transmitting and receiving radio signals, an amplifier for signal amplification, and a signal processor for signal processing. The radar measurer 110 can use various radio signals to measure biosignals, and can perform biosignal measuring operations using only a predetermined frequency by specifying a frequency band as needed.

In one embodiment, the radar measurer 110 may be implemented by including a signal measurer and a support, and may be configured in various shapes and structures as needed. This will be described in more detail with reference to FIG. 2 .

In one embodiment, the radar measuring device 110 may collect the user's occupancy, activity, respiratory rate, and heart rate as biosignals. More specifically, the radar measurer 110 may extract various characteristic information such as signal intensity, change amount, and change pattern from the received signal, and based on this, various situation information for situation monitoring may be determined. For example, the situation information may include whether the user is present in a specific space or not and whether the user is moving in the specific space or not. The situation information may include the user's respiratory rate and heart rate derived from biosignals.

In one embodiment, the radar measurer 110 may transmit biosignals to the monitoring server 130 using a predefined communication protocol. In this case, the communication protocol may be defined as a biological radar protocol. The biological radar protocol may be defined as data types (meaning) and values (value) from 0 to 22 according to the order (Order). For example, the biological radar protocol may be expressed as shown in Table 1 below.

[Table 1]

In this case, the data format transmitted through the bioradar protocol may be expressed as {(#mac, rssi, A, B, C, D, E$), Beats Per Minute (BPM)}. Here, # is the start word (word), $ is the end word, mac is the MAC address (mac address 12 byte ascii), rssi is the received signal strength indicator (unit dBm), A is within the detection range (1 )/other(0) notification, B is motion judgment (None=0, Activity=1), C is respiration BPM (1~22), D is heart rate BPM (60~120), E is waveform peak-to-peak (Peak to Peak) (for 15s, integer range).

For example, “#mac, rssi, 0, 0, 0, 0, 200$” represents “mac, rssi, none, no activity, no breathing, no heart rate, waveform peak to peak 200”, and “#mac , rssi, 1, 0, 0, 0, 400$” stands for “mac, rssi, present, not active, no breathing, no heart rate, waveform peak to peak 400” and “#mac, rssi, 1, 1, 12, 67, 400$” stands for “mac, rssi, presence, activity, breathing 12 BPM, heart rate 67 BPM, waveform peak to peak 400” and “#mac, rssi, 1, 1, 0, 0, 400$ ” indicates “mac, rssi, presence, activity, no breathing, no heart rate, waveform peak to peak 400”.

The monitoring server 130 may correspond to a device capable of monitoring a user's emergency situation based on the biosignal measured by the radar measuring device 110 . The monitoring server 130 may interwork with the gateway using various front end functions, and may store and manage information collected through the gateway in a database (DBMS).

In addition, the monitoring server 130 may provide a dedicated user interface for administrators or users, and the dedicated user interface may be provided through a web server operating on the monitoring server 130 . Meanwhile, the dedicated user interface may be provided through a dedicated application operating on the user terminal 150 .

The monitoring server 130 may be connected to the radar measurer 110 and the user terminal 150 through a network, and may operate in connection with an external system to perform additional functions and operations as needed. For example, when a user's emergency is detected, the monitoring server 130 may transmit a notification for situation propagation to a system operated by a police station, fire station, hospital, etc. for quick response.

The user terminal 150 may correspond to a computing device capable of receiving various monitoring information and a notification according to the occurrence of an emergency through the situation monitoring system 100 . The user terminal 150 may be implemented as a smart phone, laptop, or computer capable of being connected to the monitoring server 130, and may be implemented as various devices such as a tablet PC without necessarily being limited thereto.

In addition, the user terminal 150 may install and execute a dedicated program or application for interworking with the monitoring server 130 . Through this, the user terminal 150 can use various services provided by the monitoring server 130 .

In addition, the user terminal 150 may set parameters for interworking with the radar measurer 110 through an app dedicated to the WiFi module. For example, the user terminal 150 may set an IP of a remote server or set an SSID and password for access to a WiFi router.

FIG. 2 is a diagram for explaining an embodiment of the radar measurer of FIG. 1 , and FIG. 3 is a view for explaining functions of the radar measurer of FIG. 1 .

Referring to FIGS. 2 and 3, the radar measuring device 110 may be installed and operated in a specific space where an indoor environment is created, and detects a user existing in the space or measures a biosignal from the detected user. can do. That is, the radar measurer 110 may include a component for measuring a biosignal from a user, and specifically, the signal measurer 210 for measuring the biosignal and the support part 230 supporting the signal measurer 210. can be implemented including

In FIG. 2 , the signal measurer 210 may be implemented to have a square planar shape on the front surface, and accordingly, a biosignal may be more accurately measured in a predetermined space formed in front of the front surface. That is, the signal measurer 210 may emit at least one wireless signal into a sensor detection area formed in front and measure a bio signal as a result of receiving derived signals derived from the at least one wireless signal.

For example, in FIG. 3 , the sensor detection area may include a virtual measurement plane formed at a distance of 5 m from the front of the signal measurer 210 and defined by a horizontal distance and a vertical distance.

In addition, the signal measurer 210 may be coupled to the support 230 as a physical structure capable of rotating in a predetermined direction. The support part 230 may be implemented by including a bottom surface that is fixedly coupled in contact with the ground, and is mutually coupled with a coupling member formed in the signal measurement unit 210 through a coupling member formed by extending in a vertical direction from the bottom surface. can

On the other hand, the radar measurer 110 is not limited to the contents shown in FIGS. 2 and 3, and may be implemented in various shapes and sizes according to the measurement environment, of course. In addition, the radar measurer 110 may be implemented by including various sensors to measure bio-signals. For example, the radar measuring device 110 may collect temperature and humidity of a specific space as environment information through a temperature sensor or a humidity sensor.

In one embodiment, the radar measurer 110 may be implemented by including a speaker for voice reproduction and a microphone for voice recording, and through this, a situation propagation operation according to the occurrence of an emergency may be performed.

4 is a diagram illustrating a functional configuration of the monitoring server of FIG. 1 .

Referring to FIG. 4 , the monitoring server 130 may include a vital signal receiver 410 , an emergency detection unit 430 and a control unit 450 .

The biosignal receiving unit 410 may receive the biosignal from the radar measurer 110 and store it in a database. The bio-signal receiver 410 may classify and manage the received bio-signals by type. For example, the bio-signal receiver 410 may classify the bio-signal in relation to the user's presence or absence, activity, respiration rate, and heart rate analysis.

In an embodiment, the bio-signal receiver 410 may provide various statistical information about bio-signals. The biosignal receiving unit 410 may visualize and display various statistical information derived from the biosignal, and may provide a graphical user interface (GUI) for this purpose.

The emergency detection unit 430 may detect whether an emergency has occurred to the user by analyzing the biosignal. When it is detected that an emergency has occurred to the user, the emergency detecting unit 430 may operate according to an operating scenario for situation propagation and response. For example, operating scenarios can be defined based on occupancy standards, respiration and heart rate, and applied in situation propagation and response processes.

In one embodiment, the emergency detection unit 430 determines whether the user is present based on the bio-signal, tracks whether the user is active or not according to the user's presence, and moves data according to the user's movement to a predetermined first If it occurs consecutively during the time, it is treated as the user's activity, and based on the processing frequency of the user's activity for a predetermined second time period, the amount of activity related to the user's movement may be calculated and graded.

More specifically, the emergency detection unit 430 may determine whether a person exists within a range of a radar, ie, whether a person is in a room, based on the biosignal. In the case of a room in which a user exists in a specific space, it may be divided into a first state in which the user's activity (movement) exists and a second state in which the user's activity does not exist. The emergency detection unit 430 may track whether or not the user is active in an occupied state.

That is, the emergency detection unit 430 processes the motion data according to the user's motion as the user's activity when it continuously occurs for a first predetermined time, and based on the frequency of processing the user's activity for a second predetermined time The amount of activity related to the user's movement may be calculated and graded. For example, when movement data is generated for 3 seconds or longer, it may be processed as user activity, and when there is no movement for 10 seconds or longer, activity processing may be canceled. In addition, the amount of activity related to the user's movement may be graded as high, medium, and low, respectively, according to the frequency of activity processing measured at 1-hour intervals.

In one embodiment, the emergency detection unit 430 updates whether or not the user is in the room according to the respiration rate and heart rate of the biosignal when the processing of the user's activity continues to fail for a predetermined third time, and updates whether or not the user is in the room. According to this, when the user's occupancy continuously occurs beyond a predetermined fourth time, an emergency notification may be transmitted to the user terminal 150 .

For example, if there is no continuous movement for 3 seconds or longer, the emergency detection unit 430 may collect heart rate and respiration data of the user. If respiration or respiration and heart rate data exist, the user may not move, but may be treated as occupied. In addition, the emergency detection unit 430 may provide a notification regarding the occurrence of an emergency when the frequency of occupancy continuously occurs for 3 hours or more. At this time, the emergency detection unit 430 may exclude the user from the range of occurrence of an emergency when the user is in a sleeping state in consideration of the time range.

In one embodiment, the emergency detection unit 430 may detect whether each of the respiratory rate and the heart rate is out of a preset normal range, and generate a notification when the number of detections exceeds a preset reference number. That is, when an emergency occurs, the emergency detection unit 430 may monitor whether the respiratory rate and the heart rate fall short of or exceed the normal ranges as an event value transmission criterion. Since an intermediate activity situation may occur, the emergency detection unit 430 may monitor the heart rate and respiratory rate for 3 minutes or 5 minutes, and may measure the occurrence frequency of the heart rate and respiratory rate outside the normal range.

For example, biometric data is transmitted once every 1 second or 3 seconds, so whenever the frequency of heart rate or respiratory rate outside the normal range occurs 15, 30 or 60 times or more for 3 minutes or 5 minutes, emergency Notifications may be sent.

In one embodiment, the emergency detection unit 430 sets a normal range, an observation range, and an intervention range for each of the respiratory rate and heart rate, and collects distributions in the observation range and intervention range for each detection of deviation from the normal range, In this case, the grade of emergency is determined according to the pattern and ratio by range of distribution, and notification can be differentially generated according to the grade.

More specifically, the normal range, observation range, and intervention range for respiratory rate and heart rate may be set as shown in Table 2 below.

[Table 2]

Here, symptoms of bradycardia may include dizziness, frequent fatigue, fainting, and the like, and emergency treatment may be required if it lasts for more than 30 seconds. Symptoms of tachycardia may include dizziness, palpitations, stuffiness, and nausea, and if it lasts for more than 30 seconds, continuous management may be required.

In addition, causes of tachypnea may include sepsis, bacterial or viral pneumonia, exposure to high external environmental temperatures, hypoxia, hypocalcemia, hypoglycemia, and the like. Slow breathing can be caused by dyspnea and acute respiratory distress, and can occur in diseases such as asthma, chronic obstructive pulmonary disease (COPD), pneumonia, pulmonary embolism, pneumothorax, congestive heart failure, and myocardial infarction.

In addition, the emergency detection unit 430 may individually set the normal range, observation range, and intervention range for respiratory rate and heart rate as shown in Table 2 above, and when deviation from the normal range is detected, the observation range and intervention range Distributions can be collected cumulatively. The emergency detection unit 430 may independently track the distribution in the observation range and the intervention range to calculate a distribution pattern and distribution ratio for each range. The emergency detection unit 430 may classify emergency situations based on distribution patterns and distribution ratios for each range. For example, the grade of emergency may be defined as high, medium, and low according to the severity of the emergency, but is not necessarily limited thereto, and may be subdivided into various grades.

In an embodiment, the emergency detection unit 430 may build a learning model that performs emergency class classification by learning feature information about distribution patterns and distribution ratios for each range. More specifically, the emergency detection unit 430 may generate a feature map for a distribution pattern for each range, and extract a feature vector as feature information from the feature map. In addition, the emergency detection unit 430 may generate a feature vector related to the distribution ratio for each range, and build a learning model by learning the feature vector related to the distribution pattern and distribution ratio for each range as learning data.

At this time, the feature maps for the distribution patterns for each range may be used independently, or may be used after being integrated into one feature map as needed. The learning model may receive, as an input, feature information about a distribution pattern and a distribution ratio for each range, and generate a classification result related to an emergency class as an output. Therefore, the emergency detecting unit 430 can efficiently determine the class situation level when the occurrence of an emergency is detected based on the monitoring information on the respiratory rate and heart rate through the learning model.

The controller 450 may control the overall operation of the monitoring server 130 and manage a control flow or data flow between the biosignal receiver 410 and the emergency detector 430 .

5 is a flowchart illustrating an embodiment of an operating process of a situation monitoring system according to the present invention.

Referring to FIG. 5 , the situation monitoring system 100 detects the occurrence of an emergency of a user in a specific space through the monitoring server 130 based on the vital signals collected by the radar measuring device 110 and provides a notification thereof. can do.

At this time, the situation monitoring system 100 may detect the user's biological signal through the radar measurer 110 (step S510), and determine whether the user is in the room through the monitoring server 130 (step S530). In addition, the situation monitoring system 100 can track whether or not the user is active through the monitoring server 130 (step S550), and can detect the occurrence of an emergency based on this (step S570).

On the other hand, the situation monitoring system 100 may perform operations for situation response as well as situation propagation according to the occurrence of an emergency, and may utilize a predefined operating scenario for this purpose.

6 is a diagram illustrating an embodiment of an interface provided by the monitoring server of FIG. 1 .

Referring to FIG. 6 , the situation monitoring system 100 analyzes the vital signals collected by the radar measurer 110 through the monitoring server 130 to effectively detect the user's occurrence of an emergency. In addition, the monitoring server 130 may provide monitoring information through the user terminal 150, and the user terminal 150 may provide monitoring information through a dedicated interface.

6 may show an embodiment of a dedicated interface (GUI) 610 provided on the user terminal 150 . The dedicated interface 610 may correspond to a dedicated viewer displaying visualized information about a user's bio-signal. For example, the dedicated interface 610 may include a monitoring window related to respiratory rate, heart rate, occupancy and activity, and a log window related to data received through a biological radar protocol. Here, the log window is IO (room, 0 or 1), ACT (activity, 0 or 1), BR (respiration BPM, 12 to 30), HR (heart rate BPM, 55 to 120), P2P (room, breathing, Log data composed of heartbeat P2P) and Cnt (time count) can be displayed at 3-second intervals. For example, log data may be displayed as “IO:0 ACT:0 BR:0 HR:0 P2P:(303,447,271) Cnt:0”.

In addition, the monitoring window can display respiration and heart rate BPM data at 30-second intervals along with results on occupancy and activity status. At this time, the user can check the presence or activity by looking at the displayed number. For example, in the case of an unattended state, occupancy is indicated as 0, which may mean that no person exists in the sensing area. In the case of the occupancy state, occupancy is indicated as 1, which may mean that a person exists in the sensing area. In addition, when it is detected that a person enters the detection area, respiration and heart rate BPM may be displayed after 30 seconds.

In addition, the dedicated interface 610 may provide a range setting function with respect to respiration and heart rate. In FIG. 6 , a function for specifically setting each range may be provided at the lower end of the portion where respiration and heart rate BPM are displayed. For example, if the range of respiration BPM is set to 1-10, if the respiration BPM is 11 or more or 0, it may be displayed in red, and an alarm (notification) may be delivered along with it. If you set the range of heart rate BPM to 60 - 85, when it is over 86 or below 59, it is displayed in red and an alarm can be delivered.

Although the above has been described with reference to preferred embodiments of the present invention, those skilled in the art will variously modify and change the present invention within the scope not departing from the spirit and scope of the present invention described in the claims below. You will understand that it can be done.

100: situation monitoring system
110: radar meter 130: monitoring server
150: user terminal
210: signal measurement unit 230: support unit
410: vital signal receiver 430: emergency detection unit
450: control unit
610: dedicated interface

Claims (7)

A radar measuring device that detects a user's vital signs in an indoor environment;
a monitoring server receiving the vital signals collected by the radar measuring device and detecting an occurrence of an emergency for the user in the indoor environment; and
A user terminal that interworks with each of the radar measurer and the monitoring server through a dedicated application; includes,
The radar meter
The biosignal is transmitted to the monitoring server using a predefined communication protocol, and the communication protocol is a bioradar protocol, which is defined as a data type (meaning) and a value (value) according to the order,
The monitoring server
Based on the bio-signal, it is determined whether the user is in the room, whether or not the user is active is tracked according to the user's presence, and when motion data according to the user's movement is continuously generated for a first predetermined time, Based on the frequency of processing of the user's activity during a predetermined second time period, the amount of activity related to the user's movement is calculated and ranked, and the processing of the user's activity is performed in a predetermined third time period. If the failure continues for a period of time, the occupancy status is updated according to the respiratory rate and heart rate collected as the biosignal, and if the occupancy of the user continuously occurs beyond a predetermined fourth time according to the update, the emergency Sending a notification about the situation to the user terminal,
The normal range, observation range, and intervention range are set for each of the respiratory rate and heart rate, the distribution in the observation range and the intervention range is collected for each detection, and the emergency situation is determined according to the pattern and ratio for each range of the distribution. Determines a grade of, and differentially generates the notification according to the grade,
An activity characterized by determining the grade of the emergency through a learning model built to receive as input the distribution pattern and characteristic information on the distribution ratio for each range and generate a classification result related to the grade of the emergency as an output. Sensor-based situation monitoring system.
The method of claim 1, wherein the radar measuring device
a signal measurer configured to emit at least one wireless signal into a sensor detection area formed in the front and measure the biosignal as a result of receiving derived signals derived from the at least one wireless signal; and
Including; a support for supporting the signal measuring unit in a state where the bottom surface is fixed;
The sensor detection area is formed at a distance of 5 m from the front of the signal measurement unit and includes a virtual measurement plane defined by a horizontal distance and a vertical distance.
According to claim 1,
The radar measuring device collects the user's occupancy, activity, respiratory rate, and heart rate as the biosignal,
The activity sensor-based situation monitoring system, characterized in that the monitoring server provides an interface for visualizing and displaying the biosignal.
delete delete The method of claim 1, wherein the monitoring server
Detecting whether each of the respiratory rate and heart rate is out of a preset normal range,
An activity sensor-based situation monitoring system, characterized in that for generating the notification when the number of detections exceeds a preset reference number.
delete

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