KR20160037058A - Apparatus and method for supporting personalized service based on big data analysis - Google Patents

Abstract

Disclosed are an apparatus and a method for supporting a personalized service based on a big data analysis. A personalized service supporting apparatus according to one embodiment includes: an information obtaining unit including a basic information obtaining unit obtaining basic analysis data including at least one selected from among user information, user context information, sensor information, environment information, external information, big data information and big data analysis information; an information analysis unit analyzing the basic analysis information obtained by the basic information obtaining unit and drawing personalized information to be provided to a user; an information provision determination unit determining whether it is necessary or not to provide the user with the personalized information drawn by the information analysis unit and whether it is necessary or not to provide the same to an external device; and an information provision unit providing the personalized information to the user when it is necessary to provide the same to the user based on a result determined by the information provision determination unit.

Description

TECHNICAL FIELD [0001] The present invention relates to an apparatus and method for supporting personalized service based on big data analysis,

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to a technique for using big data, and more specifically, to an apparatus and method for supporting a personalized service based on big data analysis.

Recently, interest in big data technology that gives meaningful value to massive data such as stereotyped or unstructured data is increasing. Many application services are required to produce accurate and fast results through big data.

The term big data refers to data sets that have common software tools and computer systems to collect, manage, store, search, share, analyze, and visualize data belonging to a certain amount of time (data set). The size of the big data may have a range of terabytes, exabytes, or zeta bytes. Big data exists in various fields. For example, web logs, radio frequency identification (RFID), social networks, social data, Internet text and documents, internet search indexing, astronomy, meteorology, genomics, Biogeochemistry, biology, military surveillance, medical records, photographic records, video recordings, and electronic commerce. In the big data era, it is very important to retrieve efficient data and judge the accuracy and objectivity of the data by using it.

On the other hand, context aware computing technology is attracting attention as a base technology for building a ubiquitous computing environment. The context aware computing technology identifies and analyzes the user's current situation information such as the user's current location, time, other people or information appliances around the user, user behavior and work history, To search for and drive it. Currently, technologies that provide services using personal situation information mostly use piecemeal information.

One problem to be solved by the present invention is to provide a personalization service support apparatus and method for providing personalized information based on a big data analysis.

Another object of the present invention is to provide a personalization service supporting apparatus capable of deriving different results according to environmental information, external information, big data information, or big data analysis information even if user information and user situation information are the same, Method.

Another object of the present invention is to provide a personalization service support apparatus and method capable of providing control instruction information to an external apparatus according to personalized information derived based on a big data analysis.

According to an embodiment of the present invention, there is provided a device for supporting personalized services, which includes at least one of a user's information, a user's situation information, sensor information, environment information, external information, big data information, An information analyzing unit for analyzing the information obtained by the information obtaining unit and deriving personalized information to be provided to the user; and an information analyzing unit for analyzing the information obtained by the information obtaining unit, An information provision determination unit for determining whether it is necessary to provide the personalized information derived by the user to the external apparatus and whether or not it is necessary to provide the personalization information to the external apparatus, And an information providing unit for providing personalized information to the user when necessary.

According to an embodiment of the present invention, the information acquiring unit further includes an external information acquiring unit acquiring at least one of external information related to the analysis basic information acquired by the basic information acquiring unit, external information irrelevant to the analysis basic information, The information analyzing unit may analyze the basic information of analysis obtained by the basic information obtaining unit and the information obtained by the external information obtaining unit and provide the same to the user.

In this case, the information obtaining unit may further include a big data analysis information obtaining unit for obtaining at least one of big data information related to the analysis basic information obtained by the basic information obtaining unit and big data analysis information related to the analysis basic information The information analyzing unit analyzes the basic information of analysis obtained by the basic information obtaining unit, the information obtained by the external information obtaining unit, and the information obtained by the big data analysis information obtaining unit, Information can be derived.

According to another aspect of the present invention, the information obtaining unit obtains big data analysis information for obtaining at least one of big data information related to the analysis basic information obtained by the basic information obtaining unit and big data analysis information related to the analysis basic information The information analyzer may analyze the basic information obtained by the basic information obtaining unit and the information obtained by the big data analysis information obtaining unit, and provide the information to the user.

According to another aspect of the present invention, the basic information obtaining unit includes a user information obtaining unit for obtaining user information including basic information and personal information of a user, And an environmental information obtaining unit for obtaining current environmental information from a device including a user's situation information obtaining unit for obtaining the current user's status information from the sensor and a sensor or sensor disposed around the user.

In this case, the personal information may include at least one of personal information requiring consent of the user and personal information unnecessary for the user's consent.

Alternatively, the user information obtaining unit may obtain information of a user from a terminal carried by the user, a sensor disposed around the user, or a user interface.

Alternatively, the user's situation information obtaining unit may use at least one of Near Field Communication (NFC), Radio Frequency Identification (RFID), Bluetooth, Infrared Data Association (IrDA), Ultra Wide Band (UWB) So that the current user's situation information can be obtained from the sensor.

Alternatively, the user's situation information obtaining unit may obtain the current user's status information using the image obtaining apparatus.

According to another aspect of the present invention, the information analyzing unit includes an information integration analyzing unit that integrates and analyzes information according to a predetermined analysis standard based on the information obtained by the information obtaining unit, And a related information deriving unit for deriving personalized information to be provided to the user in the result of the comparison.

In this case, the related information derivation unit can derive different results according to environment information, external information, big data information, or big data analysis information even if the user information and the user situation information are the same.

Alternatively, the personalized information may include at least one of notification information, instruction information, and recommendation information.

According to another aspect of the present invention, the information providing unit may provide personalized information to the user in the form of user-recognizable information such as text, audio, and video.

According to another aspect of the present invention, when it is necessary for the personalization service support device to provide the personalized information as a result of the determination by the information provision determination unit, the personalization service support apparatus controls the device in association with the personalized information And an information output unit for providing the instruction information.

In this case, the external device may be connected to the personalization service supporting device through a wired or wireless network to transmit and receive information.

According to another aspect of the present invention, the personalization service supporting apparatus further includes an information support requesting unit for requesting the information analyzing unit to analyze information, and the information analyzing unit, when the information analysis request is requested by the information support requesting unit The information obtained by the information obtaining unit can be analyzed and personalized information to be provided to the user can be derived.

In this case, the information support request unit may include an abnormal behavior determination unit of the user who determines whether the user's context information corresponds to an abnormal behavior, and the information analysis unit may determine whether the user's situation When the information corresponds to an abnormal behavior, the information obtained by the information obtaining unit can be analyzed and personalized information to be provided to the user can be derived.

Alternatively, the information support request unit may include a sensor anomaly information determination unit that determines whether the sensor information corresponds to the anomaly information, and the information analysis unit determines that the sensor information determined by the sensor anomaly information determination unit corresponds to the anomaly information The information obtained by the information obtaining unit can be analyzed and personalized information to be provided to the user can be derived.

Alternatively, the information support request unit may include an analysis support request unit for obtaining the command of the user, and the information analysis unit may analyze the information acquired by the information acquisition unit when the analysis support request unit acquires the command of the user, Personalized information to be provided to the user.

At this time, the user's command can acquire a command of the user by using a data acquisition device which can recognize the data in the form of letters, numbers, symbols, sounds, and the like.

According to an aspect of the present invention, there is provided a computer-readable recording medium storing a program for executing a personalization service support method according to an exemplary embodiment of the present invention.

As described above, according to the embodiment of the present invention, personalized information can be provided based on the big data analysis.

According to an embodiment of the present invention, even if the user's information and the user's situation information are the same, different results can be derived according to environmental information, external information, big data information, or big data analysis information.

According to an embodiment of the present invention, control instruction information may be provided to an external device according to personalized information derived based on a big data analysis.

1 is a diagram illustrating an example of a data source of a personalization service supporting apparatus according to an exemplary embodiment of the present invention.
2 is a block diagram showing a schematic configuration of a personalization service supporting apparatus according to an embodiment of the present invention.
3 is a block diagram showing a schematic configuration of a personalization service supporting apparatus according to another embodiment of the present invention.
4 is a block diagram showing a schematic configuration of a basic information obtaining unit of a personalization service supporting apparatus according to an embodiment of the present invention.
5 is a block diagram showing a schematic configuration of an information support request unit of a personalization service support apparatus according to an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The present invention will be described in detail with reference to the accompanying drawings. However, these drawings are only for illustrating the contents and scope of the technical idea of the present invention, and the technical scope of the present invention is not limited or changed. It will be apparent to those of ordinary skill in the art that various changes and modifications can be made within the scope of the technical idea of the present invention based on these examples.

In addition, terms and words used in the present specification are terms selected in consideration of functions in the embodiments, and the meaning of the terms may be changed according to the intention or custom of the invention. Therefore, the terms used in the following embodiments are defined according to their definitions when they are specifically defined in this specification, and unless otherwise defined, they should be construed in a sense generally recognized by ordinary artisans.

1 is a diagram illustrating an example of a data source of a personalization service supporting apparatus according to an exemplary embodiment of the present invention.

Referring to FIG. 1, the personalization service support apparatus 100 supports a personalization service optimized for a user using a big data analysis method. Specifically, it analyzes the given information and external information and derives personalized information by optimization. For example, the personalization service support apparatus 100 provides a variety of services, such as providing status information for supporting a future plan based on the present situation of an individual, or requesting external support when an individual is in a critical situation can do. That is, the personalization service support apparatus 100 can derive information suitable for an individual situation by using the current status information of the individual and the big data information analyzed by the big data analysis system or the like. The personalization service support apparatus 100 provides information suitable for an individual situation so that the individual can be provided with convenience such as reduction in trial and error or minimization of exposure to a dangerous environment.

The personalization service support apparatus 100 derives information suitable for an individual situation from various data sources. For example, the data source may be data obtained from a user. The user can input the user's information or the user's situation information through an interface or an input device. Alternatively, the data source may be data obtained from an image recognition device or a food recognition device or the like. Alternatively, the data source may be data obtained from a sensor disposed around the user. Alternatively, the data source may be data obtained from external data, web data, social data, and the like. Alternatively, the data source may be data obtained from the big data. Big data includes Structured Data, Semi-Structured Data, and Unstructured Data. The formatted data is data stored in a fixed field, for example, a relational database, a spreadsheet, and the like. The semi-structured data is not stored in a fixed field, but includes data including metadata and schema, for example, XML, HRML, and the like. Unstructured data is data that is not stored in a fixed field, for example, a text document capable of text analysis, image data, moving picture data, voice data, and the like.

2 is a block diagram showing a schematic configuration of a personalization service supporting apparatus according to an embodiment of the present invention.

Referring to FIG. 2, the personalization service support apparatus 100 includes an information obtaining unit 110, an information analyzing unit 130, an information providing determining unit 140, and an information providing unit 150. The information obtaining unit 110 includes a basic information obtaining unit 111. [ According to an aspect, the information obtaining unit 110 may further include an external information obtaining unit 112 and / or a big data analysis information obtaining unit 113. The personalization service support apparatus 100 shown in FIG. 2 is an exemplary configuration, and the personalized service support apparatus 100 may include only a part of the modules shown in FIG. 2 and / Other modules may be additionally provided.

In the following description, the basic information obtaining unit 111, the external information obtaining unit 112, the big data analysis information obtaining unit 113, the information analyzing unit 130, the information providing determining unit 140 and the information providing unit 150 The external information acquiring unit 112, the big data analysis information acquiring unit 113, the information analyzing unit 130, the information providing determining unit 140, and the information providing unit 140. The basic information obtaining unit 111, the external information obtaining unit 112, The information providing unit 150 may be implemented as one single type, one physical device, or one module. For example, the basic information obtaining unit 111, the external information obtaining unit 112, the big data analysis information obtaining unit 113, the information analyzing unit 130, the information providing determining unit 140 and the information providing unit 150 ) May be implemented to be executed as separate processes, respectively, in one or a plurality of servers, or may be implemented to be executed in a plurality of processes. Furthermore, the entire process may be implemented as a single process. In addition to this, the basic information obtaining unit 111, the external information obtaining unit 112, the big data analysis information obtaining unit 113, the information analyzing unit 130, the information providing determining unit 140 and the information providing unit 150 ) May be implemented as a plurality of physical devices or groups, rather than one physical device or group, respectively.

The information obtaining unit 110 includes a basic information obtaining unit 111. [ According to an aspect, the information obtaining unit 110 may further include an external information obtaining unit 112 and / or a big data analysis information obtaining unit 113.

The basic information obtaining unit 111 obtains basic analysis information including at least one of user information, user context information, sensor information, environment information, external information, big data information, and big data analysis information.

Here, 'analysis basic information' means information to be analyzed in order to provide optimized information to the user. For example, the analysis basic information may include user information, user context information, sensor information, environmental information, external information, big data information, and big data analysis information.

'User information' means user's personal information. For example, the user's information may include age, gender, address, occupation, and the like. Alternatively, the user information may include user's personal schedule information, commute / departure information, vehicle information, shopping information, personal preference information, and the like. According to one embodiment, the user's information may be obtained from the user via the user interface.

'User's context information' means information on the current status of the user. For example, the status information of the user may include information on whether the user is abnormal in operation or the like. If the user is in a situation where there is no movement for a predetermined period of time or a specific motion is detected, it can be regarded that the operation of the user is abnormal. For example, if a user falls down on the floor due to stunning or the like and does not move, it can be regarded that the operation of the user is abnormal. At this time, information that the user has collapsed and does not move is included in the user's current situation information.

According to one embodiment, the context information of the user may be obtained from a sensor capable of sensing the movement of the user. Specifically, the user can detect the movement of the user from a sensor disposed at a periphery of the user or a sensor disposed at a position capable of sensing the user, thereby obtaining the user's situation information. For example, if the user is stuck on the floor due to stunning or the like and does not move, it is possible to acquire information that the user is not moving from the sensor disposed at the periphery of the user or the sensor disposed at the position capable of sensing the user, If the movement of the user is not detected for more than the time, it can be regarded that the operation of the user is abnormal. At this time, information that the user has collapsed and does not move is included in the user's current situation information.

'Sensor information' means information that can be acquired from the sensor. According to one embodiment, the sensor may be an environmental sensor including a temperature sensor, a pressure sensor, a humidity sensor, an infrared sensor, a gas sensor, an intrusion detection sensor, a chair occupancy sensor, and the like. The sensor information may be obtained from a sensor disposed around the user. For example, when a user sits down from a living room to a chair, the temperature sensor measures the temperature of the living room, the pressure sensor measures pressure while the user is walking, and the chair- Can be perceived as sitting on a chair. According to another embodiment, the sensor may be attached to main devices such as a refrigerator, a television, and a washing machine, or may be connected with a main device through a network to obtain information on whether the main devices are operating normally. For example, it is possible to obtain information on the normal operation of the refrigerator from the sensor attached to the refrigerator, or obtain information on whether the gas boiler is operating normally from the sensor attached to the gas boiler.

'Big data information' means un-analyzed information obtained from a big data source, and 'Big data analysis information' means information obtained by analyzing and refining from a big data analysis system or other big data analysis related systems . Big Data Information " or " Big Data Analysis Information " includes Structured Data, Semi-Structured Data, and Unstructured Data. The formatted data is data stored in a fixed field, for example, a relational database, a spreadsheet, and the like. The semi-structured data is not stored in a fixed field, but includes data including metadata and schema, for example, XML, HRML, and the like. Unstructured data is data that is not stored in a fixed field, for example, a text document capable of text analysis, image data, moving picture data, voice data, and the like.

The basic information obtaining unit 111 will be described in detail later with reference to FIG.

The external information acquiring unit 112 acquires at least one of external information related to the analysis basic information acquired by the basic information acquiring unit 111, and external information not related to the analysis basic information. The external information obtaining unit 112 can obtain external information from another system through the network.

Here, the 'external information related to the analysis basic information' refers to information retrieved from an external data source using the analysis basic information obtained by the basic information obtaining unit 111. According to one embodiment, the analysis basic information may include at least one of the user's information, the user's situation information, the sensor information, the big data information, and the big data analysis information, And may be information retrieved from an external data source. For example, it may be information obtained by searching information about people of the same age as the user's age by using age information which is information of the user. Alternatively, it may be information obtained by searching for information on people of the same gender as the sex of the user, using gender information that is information of the user.

The 'external information unrelated to the analysis basic information' refers to information necessary for deriving the personalized information to be provided to the user although it is not directly related to the analysis basic information obtained by the basic information obtaining unit 111. According to one embodiment, the external information unrelated to the analysis baseline information may be environmental information. For example, extrinsic information not related to baseline analysis information may include meteorological information such as air pollution, precipitation probability, or volcanic activity, and special weather information such as earthquakes. Or may include influenza information, disease epidemic information, and the like.

The big data analysis information acquisition unit 113 acquires at least one of the big data information related to the analysis basic information acquired by the basic information acquisition unit 111 and the big data analysis information related to the analysis basic information. The big data analysis information acquisition unit 113 can acquire the big data analysis information from the other system via the network. Here, the other system may be a system for generating analyzed data using the big data or generating the analyzed data from the big data.

The information analysis unit 130 analyzes the information acquired by the information acquisition unit 110 and derives personalized information to be provided to the user.

According to an aspect, the information analyzing unit 130 analyzes the analysis basic information obtained by the basic information obtaining unit 111 and derives personalized information to be provided to the user.

According to another aspect, when the information acquiring unit 110 further includes the external information acquiring unit 112, the information analyzing unit 130 acquires the analysis basic information obtained by the basic information acquiring unit 111, The information obtained by the unit 112 can be analyzed together and personalized information to be provided to the user can be derived. In this case, when the information obtaining unit 110 further includes the big data information obtaining unit 112, the information analyzing unit 130 may include the analysis basic information obtained by the basic information obtaining unit 111, 112 and the information acquired by the big data analysis information acquisition unit 113 can be analyzed together and the personalized information to be provided to the user can be derived.

According to another aspect, when the information acquiring unit 110 further includes the big data analysis information acquiring unit 113, the information analyzing unit 130 acquires the analysis basic information acquired by the basic information acquiring unit 111, The information acquired by the big data analysis information acquisition unit 113 can be analyzed together and personalized information to be provided to the user can be derived.

According to an aspect, the information analysis unit 130 may include an information integration analysis unit 131 and a related information derivation unit 132.

The information integration analysis unit 131 integrates and analyzes information according to a predetermined analysis criterion based on the information obtained by the information acquisition unit 110. In this case, the predetermined analysis criterion can be determined by the service provider or the service user.

According to one embodiment, the information integration analyzer 131 may integrate and analyze information according to a predetermined analysis criterion based on the analysis basic information obtained by the basic information obtaining unit 111. [

According to another embodiment, when the information acquiring unit 110 further includes the external information acquiring unit 112, the information integrating and analyzing unit 131 acquires the analysis basic information acquired by the basic information acquiring unit 111, The information can be integrated and analyzed according to a predetermined analysis criterion based on the information obtained by the information obtaining unit 112. [ In this case, when the information obtaining unit 110 further includes the big data information obtaining unit 112, the information unification analyzing unit 131 may obtain the analysis basic information, which is obtained by the basic information obtaining unit 111, Information can be integrated and analyzed according to a predetermined analysis criterion based on the information obtained by the big data analysis information acquisition unit 112 and the information acquired by the big data analysis information acquisition unit 113. [

According to another embodiment, when the information obtaining unit 110 further includes the big data analysis information obtaining unit 113, the information integration analyzing unit 131 may obtain the analysis information Information can be integrated and analyzed according to a predetermined analysis criterion based on the information acquired by the information acquiring unit 113 and the big data analysis information acquiring unit 113. [

The related information derivation unit 132 derives the personalized information to be provided to the user in the result analyzed by the information integration analysis unit 131. [

At this time, the related information derivation unit 132 can derive different results according to environmental information, external information, big data information, or big data analysis information even though the user information and the user situation information are the same.

For example, suppose that a user wants to be provided with information to travel to a particular area. If there is a possibility that a social problem such as a riot signal, a demo, a strike, a war, or the like may occur or occur in a specific region analyzed by the information integration analysis unit 131, The cancellation can be derived as personalized information to provide to the user. However, if there is a possibility that an environmental problem such as a disease, a flu, a volcanic eruption, an earthquake, or a tsunami occurs or may occur in a specific area as a result of the analysis by the information integration analysis unit 131, ) Can result in personalized information that will provide the user with a travel cancellation or other alternative travel destination. However, if the information analyzed by the information integration analysis unit 131 is a problem on a route that travels to a specific area, the related information derivation unit 132 obtains the information about the change of the travel route to the specific area, Can be derived as personalized information to be provided to the user.

On the other hand, the personalized information may include at least one of notification information, instruction information, and recommendation information.

The information provision determination unit 140 determines whether it is necessary to provide the personalized information derived by the information analysis unit 130 to the user and whether it is necessary to provide the personalized information to the external apparatus.

For example, the personalized information derived by the information analysis unit 130 can be divided into information requiring consent of the user and information not requiring consent of the user depending on whether the user consents. If the user's agreement is required, the user may not provide the derived personalized information without the user's explicit consent. On the other hand, if the user's consent is not required, the derived personalized information can be provided to the user without the user's explicit consent.

The criterion of the information requiring the consent of the user and the information of which the consent of the user is not required may be set differently according to the type of the information obtained by the information obtaining unit 110. [ For example, the information acquired by the basic information acquisition unit 111 may be set to information requiring the user's agreement, and the external information acquisition unit 112 and / or the big data analysis information acquisition unit 113 may acquire The obtained information can be set to information that does not require the user's consent. The reference setting is not limited to this, but may be set differently for each information depending on the degree of security required for the information.

According to one embodiment, the information providing determination unit 140 may determine a transmission medium suitable for the user. A transmission medium suitable for a user may be a terminal device capable of receiving data such as characters, audio, and images. The terminal device may be a personal mobile communication terminal, a personal digital assistant (PDA), a smart phone, a tablet, a laptop, a notebook, And a wireless local area network (WLAN) terminal device.

The information providing unit 150 provides personalized information to the user when it is necessary to provide the personalized information to the user as a result of the determination by the information providing determination unit 140. [

According to one embodiment, the information providing unit 150 may provide personalized information to the user in the form of user-recognizable information such as text, voice, and video. The information providing unit 150 may convert and provide information to be provided to the delivery medium according to a delivery medium suitable for the user determined by the information providing unit 140. [ For example, the information providing unit 150 may provide personalized information to a user in the form of a voice through a user-recognizable audio device. Alternatively, the information providing unit 150 may provide personalized information to the user in the form of characters and / or sounds through a user's mobile communication device or an internal home network device.

The information database 170 stores information acquired by the information acquisition unit 110. [ According to one embodiment, the information database 170 may store the analysis basic information obtained by the basic information obtaining unit 111. [ Alternatively, the information database 170 may store information acquired by the external information acquisition unit 112. [ Alternatively, the information database 170 may store information acquired by the big data analysis information acquisition unit 113. According to another embodiment, the information database 170 may store the personalized information derived by the information analysis unit 130. For example, The information stored in the information database 170 can be used as basic information or history information for searching for information that supports a service optimized for a person.

3 is a block diagram showing a schematic configuration of a personalization service supporting apparatus according to another embodiment of the present invention.

Referring to FIG. 3, the personalization service support apparatus 100 according to an aspect may further include an information support request unit 120.

The information support request unit 120 requests the information analysis unit 130 to analyze information. At this time, when information analysis is requested by the information support request unit 120, the information analysis unit 130 may analyze the information obtained by the information acquisition unit 110 and derive personalized information to be provided to the user . The information support requesting unit 120 will be described later in detail with reference to FIG.

The personalization service support apparatus 100 according to an aspect may further include an information output unit 160.

The information output unit 160 provides the external device with the instruction information for controlling the device in association with the personalized information when it is necessary to provide the personalized information as a result of the determination made by the information providing unit 140 do.

In this case, the external device is a device capable of transmitting and receiving information by being connected to a personalized service supporting device through a wired or wireless network. For example, the information output unit 160 may provide the cleaning device with instruction information for instructing operation. In another example, the information output unit 160 may provide instruction information for attempting connection to an external system, such as a fire department.

4 is a block diagram showing a schematic configuration of a basic information obtaining unit of a personalization service supporting apparatus according to an embodiment of the present invention.

4, the basic information obtaining unit 400 may include a user information obtaining unit 410, a user's situation information obtaining unit 420, and an environment information obtaining unit 430. FIG.

The user information acquisition unit 410, the user's context information acquisition unit 420, and the environment information acquisition unit 430 are disclosed as independent parts. However, the user information acquisition unit 410, The unit 420 and the environment information obtaining unit 430 may be implemented in one single form, one physical device, or one module. For example, the user information obtaining unit 410, the user context information obtaining unit 420, and the environment information obtaining unit 430 may be implemented to be executed in separate processes in one or a plurality of servers, . ≪ / RTI > Furthermore, the entire process may be implemented as a single process. In addition, the user information obtaining unit 410, the user's context information obtaining unit 420, and the environment information obtaining unit 430 may be implemented as a plurality of physical devices or groups, respectively, instead of one physical device or group have.

The user information obtaining unit 410 obtains user information including user's basic information and personal information. 'User information' means user's personal information. For example, the user's information may include age, gender, address, occupation, and the like. Alternatively, the user information may include user's personal schedule information, commute / departure information, vehicle information, shopping information, personal preference information, and the like. The 'user's personal information' may include at least one of personal information requiring consent of the user in using the information and personal information not requiring the consent of the user.

According to one embodiment, the user information obtaining unit 410 may obtain information of a user from a terminal carried by the user, a sensor disposed around the user, or a user interface. The user interface may be a separate input device for inputting user information to the personalization service support device.

The user's context information acquisition unit 420 acquires the current user's context information from a sensor disposed at a position where the user can perceive the user's surroundings or the user. 'User's context information' means information on the current status of the user. For example, the user's context information may include information related to the user's physical condition, such as the user's current location, the user's pulse rate, body temperature, activity, and the like. As another example, the user's situation information may include whether the user is abnormal in operation or the like. If the user is in a situation where there is no movement for a predetermined period of time or a specific motion is detected, it can be regarded that the operation of the user is abnormal.

According to one embodiment, the context information of the user may be obtained from a sensor capable of sensing the movement of the user. Specifically, the user can detect the movement of the user from a sensor disposed at a periphery of the user or a sensor disposed at a position capable of sensing the user, thereby obtaining the user's situation information. For example, if the user is stuck on the floor due to stunning or the like and does not move, it is possible to acquire information that the user is not moving from the sensor disposed at the periphery of the user or the sensor disposed at the position capable of sensing the user, If the movement of the user is not detected for more than the time, it can be regarded that the operation of the user is abnormal. At this time, information that the user has collapsed and does not move is included in the user's current situation information. As another example, the sensor may be an environmental sensor including a temperature sensor, a pressure sensor, a humidity sensor, an infrared sensor, a gas sensor, an intrusion detection sensor, a chair occupancy sensor, and the like. When the user sits down in the living room to sit on the chair, the temperature sensor measures the temperature of the living room, the pressure sensor measures the pressure while the user is walking, and the chair occupancy sensor sits on the chair while the user is sitting on the chair Can be detected.

According to another embodiment of the present invention, the user's context information acquisition unit 420 may acquire the context information of the user using the NFC (Near Field Communication), RFID (Radio Frequency Identification), Bluetooth, Infrared Data Association (IrDA) , ZigBee can be used to acquire the current user status information from the sensor.

According to another embodiment, the user's context information acquisition unit 420 may acquire the current user context information using the image acquisition device. The image capture device may include any device capable of capturing an image, such as a camera, camcorder, smart phone, or the like. For example, the user's body information or the user's location information can be obtained using a depth camera, a color camera, or the like. The method of acquiring the user's body information or the user's location information is not limited thereto, and various methods can be used.

The environment information obtaining unit 430 obtains current environmental information from a device including a sensor or a sensor disposed around the user.

According to one embodiment, the sensor disposed around the user may be an environmental sensor including a temperature sensor, a pressure sensor, a humidity sensor, an infrared sensor, a gas sensor, an intrusion detection sensor, and the like. The environmental sensor is a sensor for measuring environmental changes such as the temperature of the room and the pressure of the floor. These environmental sensors are used to obtain indirect information about user health. For example, the environment information obtaining unit 430 can obtain the current temperature information from the temperature sensor. Alternatively, the environment information obtaining unit 430 may obtain the current pressure information from the pressure sensor. Alternatively, the environment information obtaining unit 430 may obtain current gas information from the gas sensor. Alternatively, the environment information obtaining unit 430 may obtain the current intrusion detection information from the intrusion detection sensor.

The environment information acquisition unit 430 receives Near Field Communication (NFC), Radio Frequency Identification (RFID), Bluetooth, Infrared Data Association (IrDA), and the like from an apparatus including sensors or sensors disposed around the user. , UWB (Ultra Wideband), ZigBee, and the like.

5 is a block diagram showing a schematic configuration of an information support request unit of a personalization service support apparatus according to an embodiment of the present invention.

Referring to FIG. 5, the information support request unit 120, 500 may include a user's abnormal behavior information support request unit 510. Alternatively, the information support request unit 120, 500 may include a sensor anomaly information support request unit 520. Alternatively, the information support request unit 120, 500 may include an analysis information support request unit 530. Alternatively, the information support request units 120 and 500 may include a user's abnormal behavior information support request unit 510 and / or a sensor abnormal information support request unit 520 and / or an analysis information support request unit 530 have.

Hereinafter, the user's abnormal behavior information support request unit 510, the sensor abnormality information support request unit 520, and the analysis information support request unit 530 are disclosed as independent parts. However, The sensor abnormality information support request unit 520, and the analysis information support request unit 530 may be implemented as one single type, one physical device, or one module. For example, the user's abnormal behavior information support request unit 510, the sensor abnormality information support request unit 520, and the analysis information support request unit 530 may be implemented as separate processes in one or a plurality of servers , Or may be implemented to execute in a plurality of processes. Furthermore, the entire process may be implemented as a single process. In addition, the user's abnormal behavior information support request unit 510, the sensor anomaly information support request unit 520, and the analysis information support request unit 530 may each be a single physical device or a plurality of physical devices Can be implemented as a group.

The user's abnormal behavior information support request unit 510 determines whether the user's situation information corresponds to an abnormal behavior and if the detected user's situation information corresponds to an abnormal behavior, request.

According to one embodiment, the context information of the user may be obtained from a sensor capable of sensing the movement of the user. Specifically, the user can detect the movement of the user from a sensor disposed at a periphery of the user or a sensor disposed at a position capable of sensing the user, thereby obtaining the user's situation information. For example, if the user is stuck on the floor due to stunning or the like and does not move, it is possible to acquire information that the user is not moving from the sensor disposed at the periphery of the user or the sensor disposed at the position capable of sensing the user, If the movement of the user is not detected for more than the time, it can be regarded that the operation of the user is abnormal. At this time, information that the user has collapsed and does not move is included in the user's current situation information. The user's abnormal behavior information support request unit 510 determines that the current situation information that the user has collapsed and does not move corresponds to the abnormal behavior and requests the information analysis unit 130 to analyze the information.

The sensor anomaly information support request unit 520 determines whether the sensor information corresponds to the anomaly information, and when the determined sensor information corresponds to the anomaly information, requests the information analysis unit 130 to analyze the information.

According to one embodiment, the sensor may be an environmental sensor including a temperature sensor, a pressure sensor, a humidity sensor, an infrared sensor, a gas sensor, an intrusion detection sensor, a chair occupancy sensor, and the like. For example, when a fire occurs in a house, the temperature sensor can obtain temperature information that is different from the usual temperature information. At this time, the sensor abnormality information support request unit 510 determines that the temperature information other than the normal temperature information corresponds to the sensor abnormality information, and requests the information analyzer 130 to analyze the information.

According to another embodiment, when a fire or an intruder is detected in a third area other than the area where the user is located, the sensor abnormality information support request unit 520 determines that the sensor information corresponds to the abnormality information, And requests the analysis unit 130 to analyze the information.

The analysis information support request unit 530 requests the information analysis unit 130 to analyze the information when acquiring the user's command or external abnormality information.

According to one embodiment, a user may request derivation of personalized information to the personalized service support apparatus 100 through an interface, an input device, or the like. The analytical information support request unit 530 requests the information analysis unit 130 to analyze the information when acquiring the user's command including the analysis support request command from the user.

Here, the user's command can acquire the user's command by using a data acquisition device which can recognize the data in the form of letters, numbers, symbols, voice, and the like.

According to another embodiment, the user's command may be in the form of information according to the user's constant life schedule. For example, the command of the user may be in the form of life pattern information that is regularly scheduled, such as information on commute / departure of the user. In this case, the analysis information support request unit 530 obtains the analysis support request command from the commute / work information of the user and requests the information analysis unit 130 to analyze the information.

According to another embodiment, the analysis information support request unit 530 may request the information analysis unit 130 to analyze information when acquiring the external abnormality information. Here, 'external abnormality information' refers to a case where another external problem in the third area other than the area in which the user is located, for example, a war, an earthquake, an unusual weather, or a social event occurs or is likely to occur. For example, if there is an earthquake or a tsunami in a specific area, the analysis information support request unit 530 acquires the possibility of occurrence or occurrence of an earthquake or tsunami in a specific area as external fault information, (130) to request information analysis.

Hereinafter, an example of receiving personalized information from a personalization service support apparatus according to an embodiment of the present invention will be described in detail.

For example, if an emergency occurs in which the user can not move his / her body in a situation where the user is alone in the home, the personalization service support device may contact the user's acquaintance by wire or wireless, or may make an urgent medical request to the fire department have. Specifically, the user acquires information from the sensors disposed around the user that motion is not detected for a predetermined period of time, determines that the user's situation is an emergency through analysis of external information and big data information, Personalized information can be derived. At this time, the derived personalized information may be information for transmitting a text message or the like from the address book of the mobile terminal registered as the user information to the family member or the acquaintance. Alternatively, the derived personalized information may be information that can make an urgent medical request to the fire department.

As another example, if the user wishes to shop, the user can receive shopping information of a person having similar preferences or sale information, price information, fashion information, and the like of personal information from the personalization service support device as personalized information. At this time, the personalization service supporting device may provide the information such as the price efficiency by putting the transportation means to the shopping store as an analysis element.

As another example, if the user wishes to travel, the user can be provided with the status, accommodation, traffic conditions, and the like of the travel destination according to the travel plan from the personalized service support device. Specifically, it is possible to provide an optimal route by analyzing the traffic situation on a route to a travel destination, and to provide information recommending a travel destination to a safe place by detecting an emergency such as an accident, a terror, and the like.

Therefore, by collecting and analyzing the basic information acquired according to the service user, the current situation information of the user, other external information, big data information, public data information, SNS data information and open data information, . It is possible to derive completely different information according to external information variables, even if it acquires personal information of the same situation, out of the superficial scope of providing necessary information simply based on basic information of the service user. In addition, users are always provided with optimized information because they take into consideration both external information and big data information, including social changes and geographical or climatic changes. Furthermore, it may have a structure capable of more accurately providing the user's desired preferences based on accumulated information of the individual.

In addition, such a personalized service support apparatus may be stored in a computer-readable recording medium on which a program for executing by a computer is recorded. At this time, the computer-readable recording medium includes all kinds of recording apparatuses in which data that can be read by a computer system is stored. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. Program instructions to be recorded on the medium may be those specially designed and constructed for the proposed invention or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Magneto-optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. The medium may be a transmission medium such as an optical or metal line, a wave guide, or the like, including a carrier wave for transmitting a signal designating a program command, a data structure, or the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa. In addition, the computer-readable recording medium may be distributed to network-connected computer devices so that computer-readable codes can be stored and executed in a distributed manner.

It will be apparent to those skilled in the art that various modifications, substitutions and substitutions are possible, without departing from the scope and spirit of the invention as disclosed in the accompanying claims. will be. Therefore, the embodiments disclosed in the present invention and the accompanying drawings are intended to illustrate and not to limit the technical spirit of the present invention, and the scope of the technical idea of the present invention is not limited by these embodiments and the accompanying drawings . The scope of protection of the present invention should be construed according to the following claims, and all technical ideas within the scope of equivalents thereof should be construed as falling within the scope of the present invention.

100: Personalization service support device
110: Information obtaining unit
111, 400: basic information obtaining unit
112: External information acquisition unit
113: Big data analysis information obtaining unit
120, 500: Information support request section
130: Information Analysis Department
131: Information Integration Analysis Department
132: related information deriving unit
140:
150: Information provision
160: Information output section
170: Information DB
410: User information acquisition unit
420: Status information acquisition unit of the user
430: Environment information acquisition unit
510: User's abnormal behavior information support request section
520: Sensor abnormality information support request section
530: Analysis information support request section

Claims (1)

An information obtaining unit including a basic information obtaining unit for obtaining basic information of analysis including at least one of user information, user's situation information, sensor information, big data information, and big data analysis information;
An information analyzer for analyzing the information acquired by the information acquisition unit and deriving personalized information to be provided to the user;
An information provision determination unit for determining whether it is necessary to provide the personalized information derived by the information analysis unit to the user and whether it is necessary to provide the personalized information to the external device; And
An information providing unit for providing personalized information to a user when it is necessary to provide the personalized information to the user as a result of the information provision determining unit;
And a personalization service support device.

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