KR101816711B1

KR101816711B1 - Smart chair based on iot and method of analysis of seated posture, apparatus and method for managing smart chair

Info

Publication number: KR101816711B1
Application number: KR1020160024571A
Authority: KR
Inventors: 임희석; 강장묵
Original assignee: 고려대학교 산학협력단
Priority date: 2016-02-29
Filing date: 2016-02-29
Publication date: 2018-01-09
Also published as: KR20170101690A

Abstract

It provides a smart chair for Internet based objects. The smart Internet-based smart chair according to an embodiment of the present invention includes a user identification unit for acquiring user identification information using information included in identification means carried by a user of a chair; A sensor unit for generating seating information that is information on a seating position of the user based on measurement results of a plurality of pressure sensors mounted on the chair after seating of the user; And a transmitter for transmitting chair information, at least one of the unique identification information, the position, the material, the shape, and the model of the chair, the user identification information, and the seating information to the server.

Description

Technical Field [0001] The present invention relates to a smart chair and a sitting position analysis method, a smart chair management apparatus, and a method thereof,

BACKGROUND OF THE INVENTION 1. Field of the Invention [0002] The present invention relates to a smart chair based on object Internet and a method of analyzing a sitting posture using the smart chair. In addition, the present invention relates to an apparatus and method for managing smart chairs based on object Internet.

Modern people sit in a chair, watch TV, study, eat, and work. Also, the time for outdoor activities is gradually decreasing for modern people, and accordingly, the time for sitting indoors, especially in chairs, is increasing.

However, if the sitting position on the chair is not correct, a crowd may be put on the neck and back, resulting in diseases such as turtle neck syndrome, neck or waist disc.

Recently, due to the development of information and communication technology, it provides convenience to people in various fields. Especially, as the Internet (IoT) is activated, it is possible to communicate with various objects in the vicinity, and a method of utilizing the objects has been extensively studied.

Therefore, there is a need for a method of analyzing a sitting posture using such a smart Internet-based smart chair and its smart chair.

Related Prior Art Korean Patent Publication No. 10-2015-0145856 (entitled " Method of controlling a chair with NFC communication technology, public date: December 31, 2015) is available.

The present invention provides a smart chair for collecting information on a seating position of a user and a method for analyzing a seating posture of a user from the collected information.

In addition, the present invention provides a smart chair management method and apparatus by analyzing a plurality of smart chairs according to each chair type usage situation.

In order to achieve the above object, a smart Internet-based smart chair provided in the present invention includes a user identification unit for acquiring user identification information using information included in identification means carried by a user of a chair; A sensor unit for generating seating information that is information on a seating position of the user based on measurement results of a plurality of pressure sensors mounted on the chair after seating of the user; And a transmitter for transmitting chair information, at least one of the unique identification information, the position, the material, the shape, and the model of the chair, the user identification information, and the seating information to the server.

Preferably, when the chair information, the user identification information, and the seating information are received by the server, an analysis result of the seating position of the user based on the seating information may be transmitted from the server to the user.

Preferably, the analysis result may further include at least one of analysis information per chair analyzed based on the chair information and predicted disease information predicted based on the seating information.

Preferably, when the sensor unit generates the seating information on the basis of the measurement result of the plurality of second pressure sensors provided on the top side of the table mated with the chair or the shot image of the chair, The analysis result may be generated by further analyzing whether a part of the body of the user is located on the upper surface of the table.

Preferably, the identification means may be one of a bar code, a QR code, an RFID tag, an NFC tag, and a smart device.

Preferably, when the chair includes a seat portion for supporting the user's buttocks and a back portion for supporting the backrest, the plurality of pressure sensors may include at least one dispersing portion for each of a plurality of regions that define the seat portion and the back portion, And the sitting information can be generated based on the measurement result of each area.

In order to achieve the above object, the object-based smart chair management apparatus provided in the present invention classifies a chair type, which is a type of a plurality of smart chairs, by using information on at least one of position, material, Type classification section; A receiving unit for receiving chair-specific seating information, which is information on the seating and seating duration from the plurality of smart chairs; And a calculating unit for calculating a seating occupancy rate, which is a ratio of an average time occupied by the user per unit time per the chair type, based on the received seating information for each chair.

The smart chair may further include an information registration unit for registering the type information including at least one of a position, a material, a shape, and a model for each of the plurality of smart chairs.

Preferably, the operation unit may further calculate at least one of the seating number, the average seating duration, and the cumulative seating duration for each chair type of the smart chair.

In order to achieve the above object, a method for analyzing a seating posture using a smart Internet-based smart chair provided in the present invention includes the steps of: acquiring user identification information using information included in identification means carried by a user of a chair; Generating sitting information, which is information on a seating position of the user, based on measurement results of a plurality of pressure sensors mounted on the chair after seating of the user; And transmitting chair information, at least one of the unique identification information, the location, the material, the shape, and the model of the chair, the user identification information, and the seating information to the server.

Preferably, when the chair includes a seat portion for supporting the user's buttocks and a back portion for supporting the backrest, the plurality of pressure sensors may include at least one dispersing portion for each of a plurality of regions that define the seat portion and the back portion, And generating the seating information based on the measurement result of each area.

In order to achieve the above object, the object Internet-based smart chair management method provided in the present invention classifies a chair type, which is a type of smart chair, by using information on at least one of position, material, ; Receiving chair-specific seating information from the plurality of smart chairs, the seating seating information being information on seating and seating durations; And calculating a seating occupancy rate, which is a ratio of an average time occupied by the user per unit time per the chair type, based on the received chair-by-chair seating information.

The present invention has the effect of collecting information on a sitting posture from a user of a smart chair and providing the user with an analysis result of the collected information including expected disease related information and sitting posture information per chair.

In addition, the present invention has an effect of enabling efficient management of a plurality of smart chairs by analyzing the usage situation of each smart chair with respect to each chair type.

FIG. 1 is a view for explaining a smart Internet-based smart chair according to an embodiment of the present invention.
FIG. 2 is a view for explaining a smart Internet-based smart chair according to another embodiment of the present invention.
FIG. 3 is a diagram for explaining a smart Internet chat system according to an embodiment of the present invention. Referring to FIG.
4 is a flowchart illustrating a sitting posture analysis method using a smart Internet-based smart chair according to an embodiment of the present invention.
FIG. 5 is a flowchart illustrating a method for managing a smart chair based on the object Internet according to an embodiment of the present invention. Referring to FIG.

While the invention is susceptible to various modifications and alternative forms, specific embodiments thereof are shown by way of example in the drawings and will herein be described in detail. It should be understood, however, that the invention is not intended to be limited to the particular embodiments, but includes all modifications, equivalents, and alternatives falling within the spirit and scope of the invention. Like reference numerals are used for like elements in describing each drawing.

The terms first, second, A, B, etc. may be used to describe various elements, but the elements should not be limited by the terms. The terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be referred to as a second component, and similarly, the second component may also be referred to as a first component. And / or < / RTI > includes any combination of a plurality of related listed items or any of a plurality of related listed items.

It is to be understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, . On the other hand, when an element is referred to as being "directly connected" or "directly connected" to another element, it should be understood that there are no other elements in between.

The terminology used in this application is used only to describe a specific embodiment and is not intended to limit the invention. The singular expressions include plural expressions unless the context clearly dictates otherwise. In the present application, the terms "comprises" or "having" and the like are used to specify that there is a feature, a number, a step, an operation, an element, a component or a combination thereof described in the specification, But do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, or combinations thereof.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in commonly used dictionaries are to be interpreted as having a meaning consistent with the contextual meaning of the related art and are to be interpreted as either ideal or overly formal in the sense of the present application Do not.

Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the accompanying drawings.

FIG. 1 is a view for explaining a smart Internet-based smart chair according to an embodiment of the present invention.

Referring to FIG. 1, a smart Internet-based smart chair 100 according to an embodiment of the present invention includes a user identification unit 110, a sensor unit 120, and a transmission unit 130.

The user identification unit 110 obtains the user identification information by using the information included in the identification means carried by the user of the chair.

If a chair is not a chair for a particular user, such as a personal chair, multiple users can alternately sit on the same chair. Therefore, in order to analyze the seating posture of the user, one must be able to specify who sat in the chair first. Therefore, the user identification unit 110 can acquire user identification information for identifying the user from the information included in the identification means held by the user of the chair.

In another embodiment, the identification means carried by the user may be one of a bar code, a QR code, an RFID tag, an NFC tag, and a smart device.

For example, the reader recognizes a bar code, a QR code, an RFID tag, or an NFC tag in a reader when the user sits down or sits on the chair, and the user identification unit 110 acquires user identification information from the recognized information . At this time, the barcode, the QR code, the RFID tag, or the NFC tag may include information (e.g., an e-mail address, a telephone number, an account, etc.) that can uniquely identify the user.

In addition, the smart device may incorporate one of a barcode, a QR code, an RFID tag, and an NFC tag, and the user identification unit 110 may acquire user identification information from the smart device. At this time, the smart device refers to a device that can embed personal identification information into a portable electronic device such as a smart phone, a smart watch, a tablet PC, a VR device, and a portable PC.

After the seating of the user, the sensor unit 120 generates seating information that is information on the seating position of the user based on the measurement results of the plurality of pressure sensors mounted on the chair.

After the user corresponding to the acquired user identification information seats in the chair, the sensor unit 120 can generate seating information. At this time, the sitting information is information generated from the measurement result of the pressure sensor corresponding to the seating posture of the user.

More specifically, the plurality of pressure sensors can be mounted so as to be dispersed at positions where the user's body and the chair are in contact with each other so that the user's sitting posture can be inferred. The sensor unit 120 can generate seating information corresponding to the seating position of the user from the measurement result of the pressure sensor on which the sensor unit 120 is dispersed and mounted.

A method of generating seating information will be described later in detail with reference to FIG.

Finally, the transmitting unit 130 transmits chair information, at least one of the unique identification information, the location, the material, the shape, and the model of the chair, the user identification information of the user, and the seating information to the server.

The chair information may include information about at least one of the unique identification information, location, material, form, and model of the smart chair. The identification information may be a serial number (e.g., MAC address, serial number, etc.) for identifying each smart chair. The location may also be an absolute coordinate (e.g., latitude and longitude coordinates), but may be a relatively wide range of locations that are not precisely specified (e.g., in front of a window, in a school, in a company, in a meeting room). In addition, the material may be leather, wood, plastic or fiber, etc., which is the main material in which the chair is made. In addition, the shape means the appearance of the chair, and may vary depending on the presence of a backrest, a headrest, or an armrest. Further, the model may be a manufacturing model name of a chair.

The transmitting unit 130 may transmit the chair information, the user identification information, and the seating information to the server according to predetermined information (e.g., an IP address). At this time, since the sitting position of the user can be changed every moment, the transmitting unit 130 can transmit the sitting information to the server several times.

Meanwhile, the smart chair can be connected to the server using a communication technology such as 3G, LTE, wireless LAN, ZigBee or Bluetooth, and the server receives chair information, user identification information, and seating information from a plurality of smart chairs and stores them in a database . At this time, the server can operate on one of a server computer, a desktop computer, a notebook, a smartphone and a tablet PC.

In another embodiment, when the chair information, the user identification information, and the sitting information are received by the server, the analysis result of the seating position of the user based on the seating information may be transmitted from the server to the user.

For example, the server may generate and transmit an analysis result of the seating position of the user according to a predetermined period or the amount of user-specific information stored in the server.

At this time, the contents of the seating position of the user included in the analysis result may be mainly related to the undesired seating position or the seating habit. For example, it may be about sitting at the end of a chair, sitting with a leg twisted, sitting bent so that the back does not touch the back, or sitting posture while shaking the legs.

The results of the analysis may also include statistical analysis results for the seated user. For example, it may be the result of an analysis of the number of occurrences per hour, the number of vacancies, the number of leg twists, or the average sitting duration without sitting postures.

On the other hand, the analysis result that the server sends to the user can be transmitted through SNS, e-mail or text message.

For example, the server can send a message about the result of analyzing the sitting position on the wall of the user's Facebook account. In addition, the server may transmit the analysis results together to the user's family or close friends or colleagues so that the calibration corresponding to the analysis result (i.e., calibration to the correct seating position) is performed more smoothly.

In another embodiment, the analysis result of the user's sitting posture may further include at least one of predicted disease information predicted based on chair-specific analysis information and sitting information analyzed based on chair information.

The analysis result may further include chair-specific analysis information analyzed based on chair information on at least one of the unique identification information, the position, the material, the shape, and the model of the chair.

For example, when a user uses one smart chair at home, at school, and at work, the analytical information per chair may be analysis information according to the characteristics of each smart chair. Specifically, the user may sit in a correct posture when sitting on a smart chair in a home or school, depending on the position of the smart chair, but may sit in a twisted posture when sitting on a smart chair at work. In addition, the user may sit in the correct posture when sitting on a smart chair with a headrest, depending on the shape of the smart chair, but may sit on the end of the chair when sitting on a chair without a headrest .

In addition, the analysis result may further include expected anticipated disease information based on seating information.

For example, a user who has a habit of sitting legs twisted or tilted to one side may further include anticipated disease information that the waist is constantly crowded and can develop into a waist disk in the future. In addition, users who have an excessively long sitting time without changing posture such as stretching may further include predicted disease information that turtle neck syndrome may occur.

In another embodiment, the sensor unit 120 may generate seating information based on a measurement result of a plurality of second pressure sensors provided on a top side of a table paired with a shot image or a chair for a chair The analysis result of the user's sitting posture can be generated by further analyzing whether or not a part of the user's body is positioned on the upper surface of the table.

For example, based on the sensed image of the chair or the measurement results of the plurality of second pressure sensors, the sensor unit 120 determines whether the user is lying on a chair, chinching with one arm, or putting the tray on a table and eating Can be further analyzed. And, depending on the results, the user can be provided with analysis results of habits that are lying on the chair, habit of chin or frequent nightmarish habits.

In another embodiment, when the smart chair is mounting a temperature sensor, the sensor unit 120 may generate seating information based more on the measurement result of the temperature sensor.

For example, a temperature sensor may be installed at a portion of the smart chair where the user's hips or thighs abut, so that the user can check the body temperature every time the user sits down. Then, the sensor unit 120 can generate sitting information based on the information about the body temperature.

In this case, it is necessary to consider that the user's body temperature may be changed depending on the user's attire and heating operation, and the server can further analyze the effect of the user's body temperature change on the sitting position using the generated seating information have.

As described above, according to the embodiment of the present invention, the smart chair based on the Internet of the object collects information on a sitting posture from a user and provides the user with an analysis result of the collected information including expected disease related information and sitting posture information per chair So that it can be provided.

FIG. 2 is a view for explaining a smart Internet-based smart chair according to another embodiment of the present invention.

Referring to FIG. 2, the smart chair according to another embodiment of the present invention may include a seat portion 210 for supporting a user's buttocks and a back portion 220 for supporting a back. At this time, the plurality of pressure sensors may be dispersed and positioned at least one for each of a plurality of areas 211 to 216, 221 to 224 for separating the seat part 210 and the backrest part 220, respectively.

The sitting information is obtained by using the measurement result of each pressure sensor located in each of the plurality of areas 211 to 216 for separating the seat part 210 and the plurality of areas 221 to 224 for separating the backrest part 220 Lt; / RTI >

For example, when the measurement result of the pressure sensor located in an area exceeds a predetermined threshold value determined to be applied pressure from the user's body, the measurement result value corresponding to the area is set to 1. If the measurement result does not exceed the threshold value, The measurement result value corresponding to the area can be set to zero.

If the measurement result values corresponding to the six regions corresponding to {211, 212, 213, 214, 215, 216} corresponding to the seat portion 210 are {1, 0, 1, 1, 1, 1} 0, 1, 1} corresponding to four regions {221, 222, 223, 224} corresponding to the back portion 220 of the back portion 220, 1, 1, 1, 1, 1, 1, 0, 0, 1}, which are obtained by combining the measurement results of the two measurement results.

On the other hand, the server can analyze the sitting posture of the user from the sitting information thus generated.

For example, when pressure is measured only in the front region 211, 212, 213, such as {1, 1, 1, 0, 0, 0} in the seat portion 210, 212, and 213, respectively. In the case where pressure is measured only in the left regions 213 and 216 on a user basis, such as {0, 0, 1, 0, 0, 1} in the seat portion 210, can do. Further, when the magnitude of the pressure measured in the front regions 211, 212, and 213 of the seat portion 210 continuously changes, the server can analyze that the user is shaking his legs.

In addition, pressure may be applied only to the left area 222, 223 or the right area 221, 224 on a user basis, such as {0, 1, 1, 0} or {1, 0, 0, 1} When measured, the server can analyze the user as being biased toward either side. Also, if the pressure is not measured anywhere, such as {0, 0, 0, 0} in the backrest 220, the server can be analyzed as if the user is sitting with the waist bent or sitting on the table .

FIG. 3 is a diagram for explaining a smart Internet chat system according to an embodiment of the present invention. Referring to FIG.

Referring to FIG. 3, an apparatus 300 for managing smart chairs based on the Internet according to an embodiment of the present invention includes a type classifier 310, a receiver 320, and a calculator 330. In addition, it may optionally include an information registration unit (not shown). On the other hand, the smart chair management apparatus 300 can be mounted on a smart phone, a tablet, or a PC.

The type classifier 310 classifies a type of chair, which is a type of a plurality of smart chairs (smart chair 1, smart chair 2, smart chair 3, ...) using information on at least one of position, material, .

That is, the type classifier 310 can classify each chair type by determining a type of a plurality of smart chairs to classify according to a certain criterion. For example, the type classification unit 310 may classify the chair types according to the material, such as plastic, wood, and leather sofas. In addition, the type classification unit 310 may classify a chair type according to a position, such as a window position, a door position, and an internal position. In this case, the position of the chair may be an absolute position (coordinate) or a relative position, and it is not necessarily the position specified in one place. In addition, the type classification unit 310 may classify the chair type according to the type, whether or not the backrest, the headrest, or the armrest is present. In addition, the type classification unit 310 may classify the chair type according to the model name of the smart chair.

At this time, if the type classifier 310 classifies the chair type using the absolute position of the smart chair (i.e., the latitude and longitude coordinates), all smart chairs may be classified into different chair types.

The receiving unit 320 receives seat seating information, which is information on the seating and seating duration, from the plurality of smart chairs.

This sitting includes a seat that leaves the seat and a seat that seats on the seat, and the seating duration is the time until the user is seated in the chair and departed.

For example, each smart chair can know whether the user is seated or seated by the measurement result of the pressure sensor mounted on the seat portion, and can calculate the seating duration, which is the time until the seated seat. The receiving unit 320 can receive information on the seating information and the seating duration from each smart chair.

Finally, the calculating unit 330 calculates the seat occupancy rate, which is the ratio of the average time occupied by the user per unit time per chair type, based on the received chair-by-chair seating information.

Seated occupancy means the average time the user is seated per unit time. For example, if the user is seated at a rate of 4 hours per 8 hours for a chair type located at the window, the seat occupancy rate is 4/8 * 100 = 50% and the ratio of 2 hours per 8 hours If the user is seated, the seating occupancy rate may be 2/8 * 100 = 25%.

At this time, the chair type may be a plurality of types classified in the type classifying unit 310. [ For example, when a chair type is classified according to the material of a chair in a certain coffee shop, the calculating unit 330 can calculate seat occupancy rates by chair type of plastic material, chair type of wood material, and chair type of leather sofa .

In another embodiment, the operation unit 330 may further calculate at least one of the number of seating times, the average seating duration, and the cumulative seating duration for each chair type of the plurality of smart chairs.

At this time, for a certain time period (for example, one day or one week), the number of seating times may be the number of seating occurrences for each chair type, the average seating duration may be an average value of seating durations for each chair type, The duration may be a cumulative amount of sitting time per chair type.

The information registration unit (not shown) may register type information including information on at least one of a position, a material, a shape, and a model for each of the plurality of smart chairs.

For example, the information registration unit may receive and register type information including information on at least one of a position, a material, a shape, and a model of each of the plurality of smart chairs. At this time, the type information can be received and input through the receiving unit 320, and can be inputted by RFID tagging or the like through the initial registration process of each smart chair.

The type information thus registered can be used to classify the chair type by the type classifying unit 310 or the calculating unit 330 or to calculate data for each classified chair type.

In another embodiment, the object-based smart chair management apparatus 300 may be installed in a place where a plurality of chairs such as a restaurant, a coffee shop, a schoolhouse, and a company are disposed.

For example, through calculation of seat occupancy rate at each place, users can find the most preferred position, material, form and chair type of model. The chair type information can be used to improve operating efficiency or work efficiency of a restaurant, a coffee shop, a school, a company, and the like. For example, when there is a large difference in the average occupancy rate of the user depending on the presence or absence of the headrest, the number of chairs including the headrest can be increased to increase the operating efficiency or work efficiency.

As described above, the object-based Internet smart chair management apparatus according to an embodiment of the present invention has an effect of more efficiently managing the plurality of smart chairs by analyzing the use situation of each chair type.

4 is a flowchart illustrating a sitting posture analysis method using a smart Internet-based smart chair according to an embodiment of the present invention.

In step S410, the smart chair acquires the user identification information using the information included in the identification means carried by the user of the chair.

In another embodiment, the identification means carried by the user may be one of a bar code, a QR code, an RFID tag, an NFC tag, and a smart phone.

In step S420, the smart chair generates seating information, which is information on the seating position of the user, based on the measurement results of the plurality of pressure sensors mounted after the seating of the user.

In another embodiment, when the smart chair includes a seat portion that supports the user's buttocks and a backrest portion that supports the backrests, the plurality of pressure sensors are at least one distributed in each of a plurality of regions that define each of the seat portion and the back portion Can be located. The smart chair can be generated based on the result of measurement for each area when generating seating information.

Finally, in step S430, the smart chair transmits chair information, acquired user identification information, and generated sitting information to at least one of the chair's unique identification information, position, material, form, and model to the server.

FIG. 5 is a flowchart illustrating a method for managing a smart chair based on the object Internet according to an embodiment of the present invention. Referring to FIG.

In step S510, the smart chair management apparatus classifies a chair type, which is a type of a plurality of smart chairs, using information on at least one of position, material, shape, and model.

In step S520, the smart chair management device receives seating information for each chair, which is information on the seating and seating duration from the plurality of smart chairs.

Finally, in step S530, the smart chair management apparatus calculates the seating occupancy rate, which is the ratio of the average time occupied by the user per unit time per chair type, based on the received chair-by-chair seating information.

The above-described embodiments of the present invention can be embodied in a general-purpose digital computer that can be embodied as a program that can be executed by a computer and operates the program using a computer-readable recording medium.

The computer readable recording medium includes a magnetic storage medium (e.g., ROM, floppy disk, hard disk, etc.), optical reading medium (e.g., CD ROM, DVD, etc.).

The present invention has been described with reference to the preferred embodiments. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the disclosed embodiments should be considered in an illustrative rather than a restrictive sense. The scope of the present invention is defined by the appended claims rather than by the foregoing description, and all differences within the scope of equivalents thereof should be construed as being included in the present invention.

Claims

A user identification unit for obtaining user identification information by using information included in identification means carried by a user of the chair;
A sensor unit for generating seating information that is information on a seating position of the user based on measurement results of a plurality of pressure sensors mounted on the chair after seating of the user; And
A transmitting section for transmitting chair information including information on the chair, the user identification information, and the seating information to a server,
Lt; / RTI >
The chair information
Wherein the chair comprises at least one of a material, a shape, and a model of the chair, and optionally includes information about at least one of the unique identification information and the position of the chair.

The method according to claim 1,
When the chair information, the user identification information, and the seating information are received by the server,
And an analysis result of the seating position of the user based on the seating information is transmitted from the server to the user.

3. The method of claim 2,
The results of the analysis
Analysis information per chair analyzed based on the chair information and
And expected anticipated disease information based on the sitting information. &Lt; RTI ID = 0.0 > 21. < / RTI >

3. The method of claim 2,
When the sensor unit generates the seating information on the basis of a measurement result of a plurality of second pressure sensors provided on a top side of a table mated with the chair or a shot image of the chair,
The results of the analysis
Further comprising analyzing whether or not a part of the body of the user is located on the upper surface of the table.

The method according to claim 1,
The identification means
A bar code, a QR code, an RFID tag, an NFC tag, and a smart phone.

The method according to claim 1,
When the chair includes a seat portion for supporting the user's buttocks and a back portion for supporting the back,
Wherein the plurality of pressure sensors are dispersed in at least one of a plurality of regions for separating the seat portion and the backrest portion,
Wherein the seating information is generated on the basis of the measurement result of each region.

A type classifying unit for classifying a chair type which is a type of a plurality of smart chairs using information on at least one of position, material, shape, and model;
A receiving unit for receiving chair-specific seating information, which is information on the seating and seating duration from the plurality of smart chairs; And
Calculating a seat occupancy rate, which is a ratio of an average time occupied by the user per unit time per the chair type, based on the received sitting information per chair;
Wherein the smart chair management apparatus comprises:

8. The method of claim 7,
An information registration unit for registering type information including information on at least one of a position, a material, a shape, and a model for each of the plurality of smart chairs;
The smart chair management apparatus according to claim 1,

8. The method of claim 7,
The operation unit
Wherein at least one of the seating number, the average seating duration, and the cumulative seating duration is further calculated for each chair type of the plurality of smart chairs.

Acquiring user identification information using information included in identification means carried by a user of the chair;
Generating sitting information, which is information on a seating position of the user, based on measurement results of a plurality of pressure sensors mounted on the chair after seating of the user; And
Transmitting the chair information including the information on the chair, the user identification information, and the seating information to the server
Lt; / RTI >
The chair information
Wherein the chair comprises at least one of a material, a shape, and a model of the chair, and optionally includes information about at least one of the unique identification information and the position of the chair. Method of analysis of sitting posture using.

11. The method of claim 10,
When the chair information, the user identification information, and the seating information are received by the server,
Wherein the analyzing result of the seating position of the user based on the seating information is transmitted from the server to the user.

12. The method of claim 11,
The results of the analysis
Analysis information per chair analyzed based on the chair information and
And predicted disease information predicted based on the sitting information. &Lt; RTI ID = 0.0 > 21. < / RTI >

11. The method of claim 10,
The identification means
A bar code, a QR code, an RFID tag, an NFC tag, and a smart phone.

11. The method of claim 10,
When the chair includes a seat portion for supporting the user's buttocks and a back portion for supporting the back,
Wherein the plurality of pressure sensors are dispersed in at least one of a plurality of regions for separating the seat portion and the backrest portion,
The step of generating seating information
And the seating information is generated on the basis of the measurement result for each area.

Classifying a chair type, which is a type of a plurality of smart chairs, using information on at least one of position, material, shape, and model;
Receiving chair-specific seating information from the plurality of smart chairs, the seating seating information being information on seating and seating durations; And
Calculating a seat occupancy rate that is a ratio of an average time occupied by the user per unit time per chair type based on the received sitting information per chair
The method of claim 1,