KR102515899B1 - Ambient assisted living healthcare user distinction apparatus using sample mean and sample variance technique - Google Patents

Abstract

It relates to an AAL healthcare user discrimination device using a sample mean and standard variance technique that extracts a sample of an unspecified AAL health care device, calculates an average and a variance, and uses this to distinguish a user. An adapter that receives and transmits an AAL healthcare device packet by connecting to an AAL healthcare device through short-range wireless communication, extracts sample data from the AAL healthcare device packet transmitted from the adapter, and calculates the sample mean and standard variance of the extracted sample data. AAL healthcare platform that distinguishes users based on the calculated standard distribution data and transmits the differentiated user information and healthcare information obtained from the adapter to the AAL healthcare service server and the user transmitted from the AAL healthcare platform AAL healthcare user discrimination device using sample average and standard variance techniques, including an AAL healthcare service server that maps and databases information and healthcare information and performs healthcare services based on user information and healthcare information implement

Description

AAL healthcare user discrimination apparatus using sample mean and standard variance technique {Ambient assisted living healthcare user distinction apparatus using sample mean and sample variance technique}

The present invention relates to an apparatus for distinguishing AAL (Ambient Assisted Living) healthcare users using a sample mean and standard variance technique, and in particular, extracts a sample of an unspecified AAL healthcare device, calculates the mean and variance, and uses the same. It relates to an AAL healthcare user discrimination device using a sample mean and standard variance technique that enables users to be distinguished by

Blood pressure monitors, blood glucose meters, weight scales, temperature sensors, and fine dust sensors, which are generally used in healthcare, are embedded devices that display information through a user interface such as a liquid crystal display (LCD) or light emitting diode (LED). Only the measurement results are provided as healthcare information.

Therefore, an AAL-based healthcare service has been proposed to compensate for the disadvantages of such healthcare devices. Ambient Assisted Living (AAL) refers to a residential environment in which preventive measures can be taken by capturing behavioral changes or health abnormalities according to the behavior and lifestyle of residents in real time.

In a general AAL-based healthcare service system, a plurality of AAL healthcare devices providing biometric information are installed in a home or residential environment. A plurality of AAL healthcare devices installed in a home or residential environment are registered with each device's information (device identification information) before being installed in the home or residential environment. Subsequently, identification information of the AAL healthcare device is registered in a service server that performs healthcare services.

Thereafter, the AAL healthcare device registered with the device information is installed in a home or residential environment, and the installed AAL healthcare device information is transmitted to the service server using an adapter to register the location information and the device.

When the information registration of the AAL healthcare device is completed through this process, the service server collects the user's information in real time through communication with the AAL healthcare device installed in the home or residential environment remotely, analyzes it, and provides healthcare service do

Here, the method of registering the AAL healthcare device includes a process of registering information in each AAL healthcare device, a process of extracting information registered in each AAL healthcare device and registering it in the service server, and each AAL healthcare device. A process of setting the information of AAL and a process of synchronizing each AAL healthcare device with the service server are required.

Since the process of setting and registering AAL healthcare devices is complicated, and all processes of setting and registering each AAL healthcare device are performed manually, labor costs are required and a lot of time is required. In particular, the process of setting and registering one AAL healthcare device is very complicated as described above, and time consuming and labor costs occur. If 6 to 7 AAL healthcare devices are installed in one home, more Furthermore, assuming that 6 to 7 AAL healthcare devices are installed in hundreds of thousands of households, the setup registration time and manpower usage of AAL healthcare devices will be beyond imagination.

Meanwhile, a prior art of controlling a healthcare device, obtaining biometric information, and performing a healthcare service based on AAL is disclosed in <Patent Document 1> below.

In the prior art disclosed in <Patent Document 1>, a server communication unit capable of data communication with a smartphone using a wireless communication network such as Wi-Fi, and an infrared transmitter generating and transmitting an infrared signal capable of controlling digital devices are The provided IR relay server receives an image from at least one camera capable of capturing an indoor image of an office or a house, and transmits the image to a smart phone. By receiving the digital device driving signal transmitted from the smartphone and generating and transmitting the appropriate infrared signal, it is possible to implement home automation that can operate multiple digital devices indoors at a low cost and with simple equipment even outdoors. .

However, the prior art as described above also has a disadvantage in that the process of registering a healthcare device is performed manually by a user in the same way as a general healthcare registration process, which causes a waste of human resources and time.

Korean Patent Publication No. 10-2013-0080278 (published on July 12, 2013)

Therefore, the present invention is proposed to solve all the problems that occur when registering the prior art and general AAL-based healthcare devices as described above, and calculates the average and variance by extracting a sample of unspecified AAL healthcare devices. The purpose of this study is to provide an AAL healthcare user distinguishing device using sample mean and standard variance techniques that can be used to distinguish users.

In order to achieve the above object, the "AAL healthcare user discrimination device using the sample mean and standard variance technique" according to the present invention,

an adapter that connects to a plurality of AAL healthcare devices through short-range wireless communication to receive and transmit AAL healthcare device packets;

Sample data is extracted from the AAL healthcare device packet transmitted from the adapter, sample average and standard variance of the extracted sample data are calculated, users are distinguished based on the calculated standard variance data, and the differentiated user information and adapter AAL healthcare platform that transmits the acquired healthcare information to the AAL healthcare service server;

It is characterized by including an AAL healthcare service server that maps user information and healthcare information transmitted from the AAL healthcare platform to form a database, and performs healthcare service based on the user information and healthcare information.

In the above, the AAL healthcare platform is characterized in that each received signal strength data included in the plurality of healthcare device packets transmitted from the adapter is extracted as sample data.

In the above, sample data of a plurality of healthcare devices is characterized in that they have the same probability distribution.

In the above, the AAL healthcare platform,

a healthcare device packet receiving unit receiving an AAL healthcare device packet transmitted from the adapter;

a sample data extractor extracting received signal strength data included in the received AAL healthcare device packet as sample data;

a sample average calculating unit calculating a sample average of the sample data extracted by the sample data extracting unit;

a standard variance calculation unit for calculating a standard variance based on the sample mean calculated by the sample average calculation unit;

a user distinguishing unit for distinguishing users based on the standard variance value calculated by the standard variance calculating unit;

and an information transmission unit for mapping the user information distinguished by the user identification unit and healthcare information obtained from the AAL healthcare device and transmitting the mapping to the AAL healthcare service server.

In the above, the standard variance calculation unit calculates the standard variance by adding a random variable to the sample mean, and the random variable is characterized in that a statistical value for each device and each model is used.

According to the present invention, by extracting a sample of unspecified AAL health care devices, calculating average and variance, and automatically distinguishing users using this, the AAL device setting registration time is reduced, and the inconvenience caused by the existing manual registration is reduced. It also has the effect of reducing shipwreck and, at the same time, reducing manpower.

1 is a schematic configuration diagram of an AAL healthcare user discrimination device using a sample mean and standard variance technique according to the present invention;
FIG. 2 is a block diagram of an embodiment of the AAL healthcare platform of FIG. 1 .

Hereinafter, an AAL healthcare user discrimination device using a sample mean and standard variance technique according to a preferred embodiment of the present invention will be described in detail with reference to the accompanying drawings.

The terms or words used in the present invention described below should not be construed as being limited to a conventional or dictionary meaning, and the inventor may appropriately define the concept of the term in order to explain his/her invention in the best way. It should be interpreted as a meaning and concept consistent with the technical spirit of the present invention based on the principle that it can be.

Therefore, the embodiments described in this specification and the configurations shown in the drawings are only preferred embodiments of the present invention, and do not represent all of the technical spirit of the present invention, so various equivalents and equivalents that can replace them at the time of the present application It should be understood that variations may exist.

1 is a block diagram of an “AAL healthcare user discrimination device using a sample mean and standard variance technique” according to the present invention, comprising a plurality of AAL healthcare devices 101 to 109, an adapter 200, and an AAL healthcare platform ( 300), an AAL healthcare service server 400 and a service terminal 500.

Here, a plurality of AAL healthcare devices 101 to 103 and an adapter are installed as a set in a home or residential environment.

The AAL healthcare devices 101 - 109 are installed in a home or residential environment, and serve to measure the user's health condition and provide the measured information as the user's health condition measurement information.

These AAL healthcare devices refer to blood pressure monitors, blood glucose meters, weight scales, and the like.

Although only blood pressure monitors, blood glucose meters, and weight scales are mentioned as AAL healthcare devices here, the present invention is not limited thereto, and may further include various biometric sensors known to measure the user's health condition. It will be self-evident to the technician.

The adapter 200 connects to the plurality of AAL healthcare devices 101 - 109 through short-range wireless communication (eg, Bluetooth communication) to receive a healthcare device packet, and transmits the received healthcare device packet to the AAL healthcare device. It serves to transmit to the platform 300.

The AAL healthcare platform 300 extracts sample data from the AAL healthcare device packet transmitted from the adapter 200, calculates the sample mean and standard variance of the extracted sample data, and uses the calculated standard variance data for the user. and transmits the differentiated user information and the healthcare information obtained from the adapter 200 to the AAL healthcare service server 400.

The AAL healthcare platform 300 extracts received signal strength data (distance data) included in a plurality of healthcare device packets transmitted from the adapter 200 as sample data. Here, sample data of a plurality of healthcare devices has the same probability distribution.

As shown in FIG. 2, the AAL healthcare platform 300 includes a healthcare device packet receiver 301 that receives the AAL healthcare device packet transmitted from the adapter 200, and the received AAL healthcare device packet. A sample data extractor 302 extracts received signal strength data included in the sample data as sample data, a sample average calculator 303 calculates a sample average of the sample data extracted by the sample data extractor 302, and the sample average A standard variance calculator 304 that calculates a standard variance based on the sample mean calculated by the calculator 303, and a user discrimination unit that classifies users based on the standard variance value calculated by the standard variance calculator 304 305, an information transmission unit 306 for mapping the user information identified by the user identification unit 305 and healthcare information obtained from an AAL healthcare device and transmitting the mapping to the AAL healthcare service server 400 do.

The standard variance calculation unit 304 calculates the standard variance by adding a random variable to the sample average, and the random variable may use a statistical value for each device and model.

The AAL healthcare service server 400 maps user information and healthcare information transmitted from the AAL healthcare platform 300 into a database, and performs a healthcare service based on the user information and healthcare information. do.

The service terminal 500 may be a terminal carried by a service provider who connects to the AAL healthcare service server 400, receives user's healthcare information, and performs healthcare services using the user's healthcare information. In addition, the service terminal 500 may be a user terminal carried by a user capable of accessing the healthcare service server 400 and receiving the user's healthcare information.

The operation of the AAL healthcare user discrimination device using the sample mean and standard variance technique according to the present invention configured as described above will be described in detail.

First, before installing the AAL healthcare devices 101 to 109 for measuring the user's health status information in a home or residential environment, setting registration should be performed. Here, setting registration means to distinguish whether a corresponding device is usable or already in use, and to register device information only for usable devices.

In most of the existing setting registration methods, the user checks the unique information (ID) set in the device, and the user manually registers the unique information of the device with the server. In this case, when there are many AAL healthcare devices to be registered in the server, there are disadvantages in that manual work is inconvenient, device registration takes a lot of time, and manpower is wasted.

In addition, after the device is installed in a home or a residential environment, the device is set and registered using information including device information, location information, and user information. Therefore, it is inconvenient to register the device settings manually by the user, and it takes a lot of time to register the device settings and wastes labor costs.

Therefore, in order to improve the disadvantages that occur when registering the settings of the existing AAL healthcare devices, the present invention automatically and in a short time registers the settings of the AAL healthcare devices, and distinguishes users of the AAL healthcare devices. that made it possible

For example, AAL healthcare devices 101 to 109 installed in a home or a residential environment to measure the user's health condition, measure the surrounding environment information, and provide the user's health condition measurement information to communicate with the adapter 200 placed in a specific space.

Here, the AAL healthcare device may include a blood pressure monitor, a blood glucose meter, a weight scale, a pulse rate monitor, and the like. Each AAL healthcare device may have different manufacturing companies, and may have different models even in the same company.

In a state where a plurality of AAL healthcare devices are randomly located in a specific space, the adapter 200 connects to the plurality of AAL healthcare devices 101 - 109 through Bluetooth communication.

In order to establish a connection, a connection is set in advance, and for this purpose, a general process called a Bluetooth advertising process is performed in advance.

That is, when the adapter 200 transmits an access command, the AAL healthcare devices 101 to 109 transmit an access packet (advertise packet) for access in response to the access command.

The adapter 200 receives advertisement packets from the AAL healthcare devices 101 - 109 and transmits the received packets to the AAL healthcare platform 300 .

Here, the adapter 200 and the AAL healthcare platform 300 may be connected using a communication relay medium such as an access point, or may be connected using wired communication or long-distance wireless communication (LoRa, CDMA, LTE, 5G, etc.).

The healthcare device packet receiver 301 of the AAL healthcare platform 300 receives and stores the AAL healthcare device packet transmitted from the adapter 200 .

The sample data extractor 302 extracts specific data included in the received AAL healthcare device packet, that is, received signal strength data (RSSI data) as sample data. Here, it is preferable to classify and extract the sample data by AAL healthcare device. By including data for distinguishing the type of healthcare device (weight scale, blood glucose meter, blood pressure monitor, pulsometer, etc.) in the AAL healthcare device packet, the device type can be easily identified.

The sample average calculation unit 303 calculates the sample average of the sample data extracted by the sample data extraction unit 302 using the following formula.

는 샘플의 표본 평균을 나타낸다.where n represents a sample,

represents the sample mean of the sample.

)을 산출한다.Next, the standard variance calculation unit 304 uses the following formula based on the sample average calculated by the sample average calculation unit 303 to calculate the standard variance (

) is calculated.

It is preferable to use the standard distribution formula to which a random variable set for each device or model is applied as the above standard distribution formula. Here, as the random variable, a statistical value set for each device and model may be used. In other words, when the device is a weight scale, there are devices for each company such as Xiaomi, Samsung, and Omron, and devices for each company also vary by model. Therefore, a standard variance equation is implemented by applying different statistical values for each device and model of each company as a random variable in advance, and the standard variance is calculated using an appropriate standard variance equation using device or model information.

The calculated standard variance value for each device/model is stored in the internal memory, used as device/model identification information later, and transmitted to the AAL healthcare service server 400 as identification information for the corresponding AAL healthcare device. register

Next, when an actual AAL healthcare device is installed and operated in a home or residential environment, the adapter 200 connects to a plurality of AAL healthcare devices installed in the home or residential environment through Bluetooth communication.

In order to establish a connection, a connection is set in advance, and for this purpose, a general process called a Bluetooth advertising process is performed in advance.

That is, when an access command is transmitted from the adapter 200, an AAL healthcare device installed in a home or residential environment transmits an access packet (advertise packet) for access in response to the access command.

The adapter 200 receives an advertisement packet from the AAL healthcare device and transmits the received packet to the AAL healthcare platform 300 .

The healthcare device packet receiver 301 of the AAL healthcare platform 300 receives and stores the AAL healthcare device packet transmitted from the adapter 200 .

The sample data extractor 302 extracts specific data included in the received AAL healthcare device packet, that is, received signal strength data (RSSI data) as sample data. Here, it is preferable to classify and extract the sample data by AAL healthcare device.

)을 산출한다.The sample mean calculator 303 calculates the sample mean of the sample data extracted by the sample data extractor 302 using [Equation 1], and the standard variance calculator 304 calculates the sample mean of the sample data extractor 302. Based on the sample mean calculated in (303), standard variance (

) is calculated.

In addition, the standard variance value calculated as above is stored as user identification information of the corresponding device and transmitted to the AAL healthcare service server 400.

Thereafter, when user health measurement information is obtained from the AAL healthcare device, the AAL healthcare platform 300 maps the received user health measurement information and user discrimination information (standard variance value), and the AAL healthcare service server 400 send to

The AAL healthcare service server 400 classifies users using standard variance values of devices included in the received user information, and stores user health measurement information mapped thereto in a database. Thereafter, the health care service is performed by analyzing the user's health measurement information.

In this way, the present invention identifies the device using the sample mean and standard variance of the device and distinguishes the user at the same time, manually setting and registering the device as before, installing the device in the home or residential environment, and then A process of registering user information by mapping user information and location information may be omitted.

Omitting this process has the advantage of reducing the overall device registration time by removing the device setting registration time by manual work, and preventing the waste of labor costs because manual work is not required.

Although the invention made by the present inventors has been specifically described according to the above embodiments, the present invention is not limited to the above embodiments, and various changes can be made without departing from the gist of the present invention based on conventional knowledge in the art. Anyone who has it will be self-evident.

101 - 109: AAL healthcare device
200: adapter
300: AAL healthcare platform
301: healthcare device packet receiver
302: sample data extraction unit
303: sample average calculator
304: standard variance calculator
305: user distinguishing unit
306: information transmission unit
400: AAL healthcare service server

Claims (5)

An apparatus for registering an AAL healthcare device using a sample mean and standard variance technique and distinguishing AAL healthcare device users,
an adapter that connects to a plurality of AAL healthcare devices through short-range wireless communication to receive and transmit AAL healthcare device packets;
Sample data is extracted from the AAL healthcare device packet transmitted from the adapter, sample mean and standard variance of the extracted sample data are calculated, users are distinguished based on the calculated standard variance data, and the differentiated user information and adapter AAL healthcare platform that transmits the acquired healthcare information to the AAL healthcare service server; and
A sample mean comprising an AAL healthcare service server that maps user information and healthcare information transmitted from the AAL healthcare platform to form a database, and performs healthcare service based on user information and healthcare information. and AAL healthcare user discrimination device using standard variance technique.
The method of claim 1, wherein the AAL healthcare platform extracts each received signal strength data included in a plurality of healthcare device packets transmitted from the adapter as sample data, AAL health using a sample mean and standard variance technique. Care User Distinguisher.
In claim 1, the AAL healthcare platform,
a healthcare device packet receiving unit receiving an AAL healthcare device packet transmitted from the adapter;
a sample data extractor extracting received signal strength data included in the received AAL healthcare device packet as sample data;
a sample average calculating unit calculating a sample average of the sample data extracted by the sample data extracting unit;
An AAL healthcare user discrimination device using a sample mean and standard variance technique, characterized in that it comprises a standard variance calculation unit for calculating a standard variance based on the sample mean calculated by the sample average calculation unit.
The method of claim 3, wherein the standard variance calculation unit calculates the standard variance by adding a random variable to the sample average, wherein the random variable uses a statistical value for each device and model. Healthcare user identification device.
The method according to claim 3, a user distinguishing unit for distinguishing users based on the standard variance value calculated by the standard variance calculation unit;
AAL using sample average and standard variance techniques, characterized in that it comprises an information transmission unit for mapping the user information distinguished by the user identification unit and the healthcare information obtained from the AAL healthcare device and transmitting it to the AAL healthcare service server. Healthcare user identification device.

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