Remote care service provision system for single-person households based on life log analysis

Abstract

To provide a remote care service providing system for single-person households by analyzing life logs, that transmits life log data extracted through a plurality of sensing modules installed in a residential space to an external terminal, thereby visualizing life logging behavior sequences to enable daily life monitoring.SOLUTION: A system comprises: a server including a sensing module, installed in a residential space, for acquiring motion data of occupants per unit residential space, an artificial intelligence module for processing and combining the motion data of the occupants using an artificial intelligence platform, and a life log extraction module for analyzing and extracting life log data; a communication module for wirelessly transmitting the motion data of the occupants to the server; and an external terminal. The system transmits the life log data extracted from the server to the external terminal, and visualizes life logging behavior sequences.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present invention relates to a system for providing remote care services for single-person households through analysis of life logs, and more particularly, to a system for providing remote care services for single-person households through analysis of life logs, capable of monitoring daily life by transmitting life log data extracted through a plurality of sensing modules installed in a residential space to an external terminal and visualizing a life logging behavior sequence. [Background technology]

[0002] A single-person household is defined as a household consisting of an individual, as opposed to a household in which one person lives alone or a family consisting of multiple members. The proportion of single-person households has been steadily increasing since the 2010s, and according to Statistics Korea, the proportion of single-person households in 2021 was 33.4%, accounting for 7,165,788 households.

[0003] The trend of an increase in single-person households is largely related to social issues such as a delay in the average age at marriage, an increase in divorce rates, and the formation of an aging society due to an increase in average life expectancy, so it is expected that the number of single-person households will continue to increase in the future.

[0004] As a result, various social problems are arising as the number of single-person households increases, and the number of households exposed to the risks of social isolation and lonely deaths is increasing. In other words, it has been confirmed that single-person households are more vulnerable than multi-family families in terms of finances, safety, and health, and the reality is that they are having difficulty dealing with emergency situations related to these.

[0005] In particular, for the elderly, the interruption of productive activities is likely to lead to chronic physical illnesses and emotional problems such as depression, which may lead to suicide. To address this issue, related surveys are being conducted by non-experts, but a survey system has not been established, and it takes a long time to come up with countermeasures.

[0006] To prevent this, conventional technologies for acquiring environmental information about living spaces and transmitting it to guardians include Korean Registered Patent No. 10-2404885, titled "IoT-based system and method for preventing lonely deaths," which discloses technology for determining the occurrence of actual signs of lonely death for people living alone based on movement detection information from the movements of people living alone and detection information about the usage status of household products, and Korean Published Patent No. 10-2021-0001870, titled "User's living status monitoring and management device and control method therefor," which discloses technology for safety management by detecting and confirming the status of monitored persons such as sick people or the elderly.

[0007] However, conventional technology is unable to track the long-term decline in a subject's physical and mental functions using data simply extracted from sensors, and there is a demand for a customized service that can measure occupants' ability to carry out daily living activities with high accuracy and reliability. [Prior art documents] [Patent documents]

[0008] [Patent Document 1] Korean Patent Registration No. 10-2404885 (May 30, 2022) [Patent Document 2] Korean Patent Publication No. 10-2021-0001870 (January 6, 2021) Summary of the Invention [Problem to be solved by the invention]

[0009] The present invention has been made to solve the above-mentioned problems, and aims to apply an AI-based processing and fusion algorithm to the collected motion data of occupants to extract life log data, thereby estimating individual behavioral patterns and monitoring signs of danger such as irregular lifestyle habits and deteriorating health in real time.

[0010] In addition, the aim is to automatically extract the occupants' main interest activities through data clustering techniques and to evaluate the occupants' ability to carry out daily life based on artificial intelligence.

[0011] Furthermore, the purpose is to visualize life logging behavioral sequences in a life log data base so that guardians or public institutions can quickly determine dangerous situations and take measures. [Means for solving the problem]

[0012] In order to solve the above technical problems, one aspect of the present invention provides a system for providing remote care services for single-person households through life log analysis, comprising: a server including a sensing module that is installed in a residential space and acquires motion data of occupants per unit residential space, an artificial intelligence module that processes and combines the motion data of the occupants based on artificial intelligence, and a life log extraction module that analyzes and extracts life log data; a communication module that wirelessly transmits the motion data of the occupants to the server; and an external terminal, wherein the life log data extracted by the server is transmitted to the external terminal to visualize a life logging behavior sequence.

[0013] In the present invention, the sensing module is composed of at least one of a radar sensor, an entry / exit sensor, a temperature sensor, a humidity sensor, a smart plug, and a fire sensor, and the smart plug is characterized in that it acquires motion data of occupants including individual power monitoring data, integrated power data, and overload detection data for the unit living space.

[0014] In the present invention, the artificial intelligence module includes a data processing unit that calculates first motion data previously specified in a motion data DB and second motion data obtained by digitizing the motion data of the person to form vectorized motion data samples, labels the motion data samples, and stores them in a pre-processed data DB; a data fusion unit that applies and calculates a duplicate sensing filtering algorithm to the data stored in the pre-processed data DB to remove duplicate values; and a data verification unit that applies and calculates a category classification algorithm to the data extracted from the data fusion unit to verify the accuracy of the data.

[0015] In the present invention, the life log extraction module further includes a life log DB for storing the final life log data output from the data verification unit.

[0016] In the present invention, the overlapping sensing filtering algorithm is performed according to the following Equation 1 and Equation 2.

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[0017] In the present invention, the category classification algorithm is performed according to Equation 3.

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[0018] In the present invention, the server automatically extracts the main interest activities of the occupants that have already been set, and sends a notification to the guardians or public institutions.

[0019] In the present invention, the life logging behavior sequence is characterized in that the real-time status and current activity status of the occupants, spatial data of the living space, and activity analysis information of the occupants by day of the week are output in graph form for visualization.

[0020] In the present invention, if the owner of the external terminal is a public institution, the life log data is integrated to generate GPS mapping information. Effect of the Invention

[0021] According to the system for providing remote care services for single-person households by analyzing life logs as a means for solving the above problems, the motion data of the person in the room is collected and processed / integrated using an artificial intelligence-based algorithm to extract life log data, which has the effect of estimating individual behavioral patterns and monitoring signs of danger such as irregular lifestyle habits and deteriorating health in real time.

[0022] In addition, the data clustering technique can automatically extract the main interest activities of the occupants, and the occupants' ability to carry out daily life can be evaluated based on artificial intelligence.

[0023] In addition, the lifelog data base can visualize lifelogging behavioral sequences, allowing guardians or public institutions to quickly determine dangerous situations and take appropriate measures. [Brief description of the drawings]

[0024] [Figure 1] FIG. 1 is a configuration diagram of a system for providing remote care services for single-person households based on analysis of life logs. [Diagram 2] FIG. 2 is a layout diagram of a sensing module according to an embodiment of the present invention. [Diagram 3] FIG. 2 is a configuration diagram of a server according to the present invention. [Figure 4] 4 is a flowchart of occupant motion data processing and fusion according to an embodiment of the present invention. [Diagram 5]1 is a graph illustrating a lifelogging behavior sequence according to an embodiment of the present invention. [Figure 6] FIG. 1 is a diagram illustrating generating GPS mapping information according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0025] The present invention will now be described in detail with reference to the accompanying drawings. In describing the present invention, if it is determined that a detailed description of related prior art or configuration may unnecessarily obscure the gist of the present invention, the detailed description will be omitted.

[0026] The terms described below are defined in consideration of their functions in the present invention, and may vary depending on the intention or practice of a user or operator, and therefore must be defined based on the overall content of this specification which describes the present invention.

[0027] This invention provides remote care services to single-person households who need daily life monitoring by extracting life log data from motion data of occupants collected through multiple sensing modules installed in living spaces by applying an AI-based processing and fusion algorithm, transmitting the life log data to an external device, and visualizing the life logging behavior sequence.

[0028] The configuration of the present invention will now be considered with reference to the attached drawings. As shown in FIG. 1, the present invention's remote care service provision system 1 for single-person households based on life log analysis comprises a sensing module 100, a server 400 including an artificial intelligence module 200 and a life log extraction module 300, a communication module 500, and an external terminal 600.

[0029] 2, the sensing module 100 is installed in a residential space and acquires motion data of occupants per unit residential space. The sensing module 100 at this time is composed of at least one of a radar sensor 110, an entrance / exit sensor 120, a temperature sensor 130, a humidity sensor 140, a smart plug 150, and a fire sensor 160, and can acquire motion data of occupants including their movements, the environment of the residential space, and emergency situations by arranging them according to the characteristics of each space.

[0030] According to an embodiment of the present invention, the radar sensor 110 is for sensing the movement of occupants in a residential space through Doppler frequency, and can obtain occupant motion data such as the speed, range, duration, radius, etc. of the occupant's movement.

[0031] The entry / exit sensor 120 is used to sense the opening and closing of a door to sense the movement of occupants, and can obtain motion data of occupants such as the movement of occupants within the unit living space or the time spent within the unit living space.

[0032] The temperature sensor 130 and the humidity sensor 140 can sense the temperature and humidity of the living space to obtain motion data of occupants including environmental information of the living space.

[0033] The smart plug 150 can obtain individual power monitoring data, integrated power data, and motion data of occupants including overload detection data for the unit dwelling space, thereby inferring information regarding the time spent in the dwelling space or unit dwelling space and the occurrence of an emergency situation.

[0034] The fire sensor 160 can detect whether a fire detector (emergency alarm) in a residential space or building has been activated, and obtain motion data of occupants including an emergency situation in the residential space.

[0035] 3 and 4, the server 400 includes an artificial intelligence module 200 that processes and combines the motion data of the occupants based on artificial intelligence, and a life log extraction module 300 that analyzes and extracts life log data.

[0036] The artificial intelligence module 200 comprises a data processing unit 210 , a data fusion unit 220 and a data verification unit 230 .

[0037] The data processing unit 210 calculates first motion data pre-stored in the motion data DB 211 and second motion data which is digitized motion data of occupants acquired by the sensing module 100 to form vectorized motion data samples, and labels the motion data samples to store them in the pre-processed data DB 212.

[0038] As an embodiment, a sample of vectorized motion data is shown in Table 1 below. [Table 1] The data fusion unit 220 applies a duplicate sensing filtering algorithm to the data stored in the preprocessed data DB 212 to remove duplicate values.

[0039] Here, the overlapping sensing filtering algorithm can be performed according to Equations 1 and 2, and optimizes the interval repetition by removing overlapping values.

[0040] Equation 1 defines the required values, and equation 2 finds the optimal solution.

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[0041] In the present invention, the category classification algorithm is performed according to Equation 3.

[0042] This allows machine learning to be performed at a rapid speed by limiting the number of occupants n to 10 people per group and processing them in parallel using Equation 2.

[0043] According to an embodiment of the present invention, it is possible to improve the performance of artificial intelligence by repeatedly performing machine learning based on vectorized motion data samples such as those in Table 1.

[0044] The data verification unit 230 can verify the accuracy of the data by applying a category classification algorithm to the data extracted by the data fusion unit 220 and performing a calculation.

[0045] Here, the category classification algorithm can be performed according to Equation 3, and can provide an estimate of the probability that the final output lifelog will be successfully output.

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[0046] The life log DB 311 can store the final life log data output from the data verification unit 230 .

[0047] The communication module 500 wirelessly transmits the motion data of the occupants to the server 400 .

[0048] Here, examples of communication module 500 include, but are not limited to, RF, 3GPP (3rd Generation Partnership Project) network, LTE (Long Term Evolution) network, 5GPP (5th Generation Partnership Project) network, WIMAX (World Interoperability for Microwave Access) network, Internet, LAN (Local Area Network), WLAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), Bluetooth network, NFC network, satellite broadcasting network, analog broadcasting network, DMB (Digital Multimedia Broadcasting) network, 5G network, 6G network, and the like, in which wireless communication is preferably performed.

[0049] The present invention can transmit the final life log data extracted by the server 400 to an external terminal 600 to visualize the life logging behavior sequence.

[0050] The external terminal 600 may be a smartphone, tablet computer, notebook computer, netbook, or information and communication device owned by a resident, guardian, or public institution, and refers to a terminal that can check life logging behavior sequences through a website or application linked to the server 400.

[0051] As shown in FIG. 5, the life logging behavior sequence of the present invention visualizes the real-time status and activity status of occupants, spatial data of the living space, and activity analysis information of occupants by day of the week by outputting them in graphs.

[0052] As shown in FIG. 6, if the owner of the external terminal 600 is a public institution, the life log data can be integrated to generate GPS mapping information, making it easy to monitor a large number of people in a room in all directions.

[0053] The server 400 of the present invention can automatically extract the main interest behavior of a person in the room that has already been set and send a notification to a guardian or a public institution, so that it is easy to monitor a specific main interest behavior of a specific person in the room.

[0054] The drawings illustrated above for the purpose of explaining the present invention are shown as one embodiment in which the present invention is embodied, but it will be understood that various combinations of forms are possible in order to realize the gist of the present invention.

[0055] Therefore, the present invention is not limited to the above-described embodiments, and the technical idea of ​​the present invention can be implemented by making various modifications by anyone having ordinary knowledge in the field to which the invention belongs within the technical scope described in the claims without departing from the gist of the present invention. [Explanation of symbols]

[0056] 1: Remote care service provision system for single-person households based on life log analysis 100: Sensing module 110: Radar sensor 120: Entry / exit sensor 130: Temperature sensor 140: Humidity sensor 150: Smart plug 160: Fire sensor 200: Artificial Intelligence Module 210: Data processing unit 220: Data Fusion Unit 230: Data Verification Unit 211: Motion data DB 212: Pre-processing data DB 300: Life log extraction module 311: Lifelog DB 400:Server 500: Communication module 600: External terminal

Claims

1. A sensing module is installed in the living space and acquires motion data of occupants per unit living space; A server including an artificial intelligence module for processing and fusing the motion data of the occupants based on artificial intelligence and a life log extraction module for analyzing and extracting life log data; a communication module that wirelessly transmits the motion data of the occupants to the server; An external terminal, Transmitting the life log data extracted by the server to the external terminal to visualize a life logging behavior sequence; The artificial intelligence module includes a data processing unit that performs calculations on first motion data previously specified in a motion data DB and second motion data obtained by digitizing the motion data of the person to form vectorized motion data samples, and labels the motion data samples to store them in a pre-processing data DB; A data fusion unit that applies a duplicate sensing filtering algorithm to the data stored in the pre-processing data DB to remove duplicate values ​​that are the same as the value at the previous time; A system for providing remote care services for single-person households through analysis of life logs, comprising: a data verification unit that applies and calculates a category classification algorithm to the data extracted from the data fusion unit to verify the accuracy of the data.

2. The system for providing remote care services for single-person households through analysis of life logs as described in claim 1, characterized in that the sensing module is composed of at least one of a radar sensor, an entry / exit sensor, a temperature sensor, a humidity sensor, a smart plug, and a fire sensor.

3. The system for providing remote care services for single-person households through analysis of life logs as described in claim 2, characterized in that the smart plug acquires motion data of occupants including individual power monitoring data, integrated power data, and overload detection data for the unit residential space.

4. The system for providing remote care services for single-person households by analyzing life logs according to claim 1 , wherein the life log extraction module further comprises a life log DB for storing the final life log data output from the data verification unit.

5. The system for providing remote care services for single-person households by analyzing life logs according to claim 1 , wherein the overlapping sensing filtering algorithm is performed according to the following Equations 1 and 2: [0010] [0025]

6. The system for providing remote care services for single-person households by analyzing life logs according to claim 1 , wherein the category classification algorithm is performed according to Equation 3. [0030]

7. The system for providing remote care services for single-person households by analyzing life logs according to claim 1, characterized in that the server automatically extracts the main interest activities of the occupants that have already been set and sends a notification to the guardian or a public institution.

8. The life logging behavior sequence includes: The system for providing remote care services for single-person households through analysis of life logs as described in claim 1, characterized in that it outputs and visualizes the real-time status and current activity status of occupants, spatial data of the living space, and activity analysis information of occupants by day of the week in graphs.

9. The system for providing remote care services for single-person households by analyzing life logs according to claim 1, characterized in that if the owner of the external terminal is a public institution, the life log data is integrated to generate GPS mapping information.

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