KR102506356B1 - Apparatus and method for recommending of fashion coordination - Google Patents

Abstract

It relates to an apparatus for recommending coordinators, comprising: a receiving unit receiving a request signal for recommending coordinators from a user; In response to the request signal, a generator that generates recommendation information for coordinating in consideration of weather; and a control unit providing the coordinator recommendation information to a user terminal and displaying it on a screen.

Description

Coordination recommendation device and method {APPARATUS AND METHOD FOR RECOMMENDING OF FASHION COORDINATION}

The present application relates to an apparatus and method for recommending coordinating information related to fashion, style, clothing, and the like.

In general, there are many cases in which people wear clothes and go out without knowing the weather outside when going out. Therefore, there are cases where people go out wearing clothes that do not suit the weather, which may cause inconvenience to the user and may affect health.

On the other hand, in the case of the prior art of providing (recommendation) clothing information or coordinating information, product (product) information is generally provided based on recently fashionable clothing or general average clothing/coordination information is provided without considering weather information. Accordingly, information provided through such prior art may be considered unsatisfactory information for some users, and there is a limit to providing customized information that satisfies individual needs.

The background technology of the present application is disclosed in Korean Patent Publication No. 10-2016-0143697.

The present invention is to solve the above-mentioned problems of the prior art, and an object of the present invention is to provide a coordinating recommendation device and method for recommending coordinating information related to fashion, style, clothing, etc. in consideration of weather.

The present invention is to solve the above-mentioned problems of the prior art, and an object of the present invention is to provide a coordinator recommendation device and method that provides customized coordinator recommendation information that satisfies individual needs.

However, the technical problem to be achieved by the embodiments of the present application is not limited to the technical problems described above, and other technical problems may exist.

As a technical means for achieving the above technical problem, an apparatus for recommending coordinators according to an embodiment of the present invention includes a receiving unit receiving a request signal for recommending coordinators from a user; In response to the request signal, a generator that generates recommendation information for coordinating in consideration of weather; and a control unit providing the coordinator recommendation information to a user terminal and displaying it on a screen.

In addition, when an image is received from the user terminal as the request signal, the generation unit identifies on-site weather in the image through image analysis of the image, and recommends the coordination in consideration of the identified on-site weather as the weather. information can be generated.

In addition, the coordinator recommendation information is generated based on first coordinator recommendation information generated based on information about clothing owned by the user stored in the owned clothing storage unit and information about a plurality of clothing products sold on an online shopping mall. and second coordinating recommendation information.

In addition, the apparatus for recommending coordinators according to an embodiment of the present invention, when a user input is made on an apparel product desired to purchase among the plurality of apparel products, determines whether or not the apparel product desired to purchase is suitable for the user to wear. It may further include a determination unit for determining.

Further, the controller may transmit a purchase request signal for purchase of the clothing product desired to purchase when it is determined that the clothing product is fit for wear as a result of the determination.

In addition, when it is determined that the apparel product is unfit to be worn as a result of the determination, the controller may display information on recommended alternative apparel products that satisfy the wear suitability condition and can be replaced with respect to the desired apparel product on one area of the screen. .

In addition, the determination unit determines whether or not the wear is appropriate by comparing the size of the desired-to-purchase clothing belonging to the same category and the size of the desired-to-purchase clothing among the owned clothing information stored in the owned clothing storage unit. can determine.

In addition, the apparatus for recommending coordination according to an embodiment of the present application further includes a simulation unit configured to perform a wearing simulation of the desired-to-purchase clothing product by wearing the desired-to-purchase clothing product on an avatar created in consideration of the user's body characteristic information. can do.

In addition, the determination unit may determine whether or not the wearing suitability is based on the information related to the tightening part obtained through the execution of the wearing simulation.

In addition, the apparatus for recommending coordinators according to an embodiment of the present disclosure may further include an owned clothing management unit that obtains information on clothes owned by the user, stores the information in the owned clothes storage unit, and manages the information.

In addition, the owned clothing management unit determines whether or not used clothing that satisfies a predetermined used transaction condition exists among the owned clothing stored in the owned clothing storage unit, and the control unit determines that used clothing exists as a result of the determination, the An upload request signal for uploading information about used clothing to a used trading site may be generated and provided on the screen.

In addition, the receiving unit further receives a user coordination evaluation request signal for requesting an evaluation of a coordinator based on clothes worn by the user, and the control unit requests a coordinating evaluation request when it is detected that the user coordination evaluation request signal is received. A coordination evaluation request message corresponding to the user coordination evaluation request signal may be displayed on the screens of at least some terminals among terminals of other users who are allowed to receive the message.

Also, the at least some of the terminals may be other user's terminals located within a predetermined area from the user's location among the other user's terminals.

On the other hand, the coordinator recommendation system according to an embodiment of the present application includes the above-described coordinator recommendation device according to an embodiment of the present application; and a user terminal interworking with the coordinator recommendation device to receive and provide a control signal for controlling an operation of the coordinator recommendation device from a user.

In addition, a coordination recommendation method according to an embodiment of the present application is a method of recommending coordination by the apparatus for recommending coordination according to an embodiment of the present application, including: (a) receiving a request signal for recommendation of coordination from a user; (b) in response to the request signal, generating coordination recommendation information considering weather; and (c) providing the coordinator recommendation information to a user terminal and displaying the coordinator recommendation information on a screen.

The above-described problem solving means are merely exemplary and should not be construed as intended to limit the present disclosure. In addition to the exemplary embodiments described above, additional embodiments may exist in the drawings and detailed description of the invention.

According to the above-described problem solving means of the present application, by providing a device for recommending coordination, it is possible to recommend coordination information related to fashion, style, clothing, etc. in consideration of weather.

According to the above-described problem solving means of the present application, by providing a device for recommending coordinators, it is possible to provide customized coordinator recommendation information that satisfies individual needs.

According to the above-described means for solving the problem of the present application, by providing a device for recommending a coordinator, it is possible to provide customized coordinator recommendation information that best matches the site weather based on the site weather in the acquired image.

However, the effects obtainable herein are not limited to the effects described above, and other effects may exist.

1 is a block diagram showing a schematic configuration of a coordinating recommendation system according to an embodiment of the present invention.
2 is a diagram for explaining an example in which a region of a tightening area identified by an identification unit in a coordinating recommendation device according to an embodiment of the present disclosure is displayed on a screen.
3 is a diagram showing an example of fashion product sensory data provided by a front display device in a coordinating recommendation device according to an embodiment of the present invention.
4 is an operation flowchart of a coordinating recommendation method according to an embodiment of the present invention.

Hereinafter, embodiments of the present application will be described in detail so that those skilled in the art can easily practice with reference to the accompanying drawings. However, the present disclosure may be implemented in many different forms and is not limited to the embodiments described herein. And in order to clearly describe the present application in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the present specification, when a part is said to be “connected” to another part, it is not only “directly connected”, but also “electrically connected” or “indirectly connected” with another element in between. "Including cases where

Throughout the present specification, when a member is referred to as being “on,” “above,” “on top of,” “below,” “below,” or “below” another member, this means that a member is located in relation to another member. This includes not only the case of contact but also the case of another member between the two members.

Throughout the present specification, when a certain component is said to "include", it means that it may further include other components without excluding other components unless otherwise stated.

1 is a block diagram showing a schematic configuration of a coordination recommendation system 1000 according to an embodiment of the present invention. Hereinafter, the coordinating recommendation system 1000 according to an embodiment of the present application will be referred to as the present system 1000 for convenience of explanation.

Referring to FIG. 1 , the present system 1000 may include a coordinating recommendation device 100 , a user terminal 1 and a front display device 3 . Here, the coordinator recommendation device 100 is a coordinator recommendation device according to an embodiment of the present application, and hereinafter, it will be referred to as the present device 100 for convenience of description.

The device 100 receives a request signal for recommending a coordinator from a user, generates coordinator recommendation information considering weather in response to the request signal, and uses the generated coordinator recommendation information as customized coordinator recommendation information, and the user terminal 1 ) and can be displayed on the screen of the user terminal 1.

Coordination recommendation information provided by the device 100 may refer to recommendation information related to coordinating such as fashion, style, and clothes. Accordingly, coordinating recommendation information herein may be referred to as fashion recommendation information, style recommendation information, clothing recommendation information, and the like. That is, words such as coordinating, clothing, fashion, and style herein mean the same thing, and may be used interchangeably with each other. A detailed description of the device 100 will be described later.

The device 100 is a coordinating recommendation device, recommends clothing (coordination) suitable for the weather, provides information on clothing products (fashion products) of a size suitable for the user's body type, and, for example, coordinating information using artificial intelligence. can recommend For example, the device 100 may provide customized coordination recommendation information customized to each individual using artificial intelligence based on big data analysis.

The device 100 may interwork (connect) with the user terminal 1 . Here, as an example, the present device 100 interlocking (connected) with the user terminal 1 means that the coordinating recommendation method by the present device 100 is in the form of a program or application executable in the user terminal 1. When it can be implemented, it may mean a case (state) in which operation control is possible by the user terminal 1 as it is installed in the user terminal 1 .

In other words, the device 100 may be provided in the form of a device included in the user terminal 1, for example. In this case, the device 100 may be a device that can be implemented in the form of a program or application installed in the user terminal 1 . In other words, the coordinating recommendation method provided through the device 100 may be implemented in the form of a program or application and provided through the user terminal 1, for example. However, it is not limited thereto, and as another example, the device 100 may be provided in the form of a server capable of transmitting and receiving data to and from the user terminal 1 or a separate device.

The user terminal 1 is, for example, PCS (Personal Communication System), GSM (Global System for Mobile communication), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication )-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (WCode Division Multiple Access), Wibro (Wireless Broadband Internet) terminal, smartphone, smartpad, tablet PC, laptop, wearable It may include all types of wired and wireless communication devices such as devices and desktop PCs, but is not limited thereto.

The network 2 is, for example, a 3rd Generation Partnership Project (3GPP) network, a Long Term Evolution (LTE) network, a World Interoperability for Microwave Access (WIMAX) network, the Internet, a Local Area Network (LAN), and a Wireless LAN (Wireless). Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), Bluetooth (Bluetooth) network, NFC (Near Field Communication) network, satellite broadcasting network, analog broadcasting network, DMB (Digital Multimedia Broadcasting) network, etc. Kinds of wired/wireless networks may be included, but are not limited thereto.

The user terminal 1 may interwork with the coordinator recommendation device (this device 100) to receive a control signal for controlling the operation of the device 100 from the user and provide it to the device 100.

For example, the user terminal 1 may receive a request signal for coordinator recommendation from the user, and may provide the received request signal to the receiving unit 110 of the present device 100. Accordingly, the receiver 110 may receive a request signal for coordinator recommendation from the user through the user terminal 1 . In addition to this, the user terminal 1 can control (remotely control) various operations of the device 100 .

In addition, the user terminal 1 may receive information on the user's body characteristics and information on when to request coordination recommendation information from the user and provide the information to the device 100, which will be described in detail later. Let's explain in more detail.

In addition, the device 100 may be interlocked (connected) with the front display device 3 . The device 100 may be interlocked with the front display device 3 through the network 2 . The Head Up Display (HUD) 3 is a fashion product experience data described later in front of the front display device 3 (or in the air in front or in the sky in front) through beam irradiation. can provide. A description of this will be described later in detail. Hereinafter, the apparatus 100 will be described in more detail.

The device 100 includes a receiving unit 110, a generating unit 120, a control unit 130, a determination unit 135, a location determination unit 140, a owned clothes management unit 150, a schedule determination unit 160, a history It may include a storage unit 170 , an owned clothing storage unit 180 , and a simulation unit 190 .

The receiving unit 110 may receive a request signal for coordinating recommendation from a user. In particular, the user may input a request signal for coordinator recommendation to the user terminal 1 , and in response to this, the receiving unit 110 may receive a request signal from the user through the user terminal 1 .

For example, the control unit 130 may select items such as 'recommend a coordinator', 'recommend a coordinator of the day', and 'receive provision of coordinator recommendation information' (ie, receive a request signal for recommending a coordinator). selection items to receive) may be displayed on the screen of the user terminal 1 . At this time, when the user performs an input for selecting a selection item displayed on the screen of the user terminal 1, the receiving unit 110 recognizes the user's selection input for the selection item as a request signal for coordinator recommendation, and requests It can detect (recognize) that a signal has been received.

As another example, the receiving unit 110 may receive an image as a request signal, and when the image is received as a request signal, the generation unit 120 to be described below considers the field weather identified based on the image analysis and recommends coordination information. can create

The generation unit 120 may generate coordination recommendation information (or clothing recommendation information, etc.) considering the weather in response to the request signal received by the reception unit 110 .

At this time, when the image (image information) is received from the user terminal 1 as a request signal, the generation unit 120 identifies the on-site weather in the image through image analysis of the image, and identifies the weather as the weather through image analysis. Coordination recommendation information may be generated in consideration of the site weather.

Here, at the time of image analysis, various image analysis algorithms previously known or developed in the future may be applied, but are not limited thereto.

When an image is received from the user terminal 1, the generation unit 120 may perform image analysis on the received image, for example, analysis of a feeling of color in the received image, based on this, in the image. The on-site weather can be identified.

Exemplarily, as a result of analysis (color analysis) of the received image, when the image has a dark tone (color) as a whole, the generation unit 120 may identify that the field weather in the image is night. As another example, if the image has a dark tone as a whole and partially has a white portion, the generation unit 120 may identify that the field weather in the image is rainy night weather. As another example, if the image is generally bright in tone and has many green colors, the generation unit 120 recognizes that the user is located in a place with many trees, and identifies it as sunny or cool weather can do. As another example, as a result of image analysis, if the trees in the image are inclined at a predetermined angle and there are overall bright-toned colors, the generation unit 120 determines that the site weather is sunny summer or cool windy. It can be identified as the weather that is blowing a lot.

In this way, when an image is received as a request signal, the generation unit 120 applies various image analysis techniques (algorithms) such as color analysis and object analysis in the image to the received image, thereby informing the on-site weather in the image (that is, the actual site weather). Weather, the current weather of the place/site shown in the image) can be identified.

The generation unit 120 is the field weather, for example, whether it is rainy weather, whether it is raining a lot or a little, whether it is sunny weather, windy weather, summer weather, autumn weather, or spring weather It is possible to identify information (ie, various weather-related information) such as whether it is cloudy, cloudy, cool, day or night, humid, hot, or cold.

Thereafter, the generation unit 120 may generate coordinator recommendation information in consideration of the identified on-site weather. That is, the generation unit 120 may generate coordinator recommendation information that matches the identified on-site weather. The generation unit 120 may generate coordinator recommendation information including clothing information matched with the identified on-site weather.

Coordinator recommendation information generated by the generation unit 120 includes first coordinator recommendation information generated based on information on clothes owned by the user stored in the owned clothing storage unit 180 and a plurality of clothes sold on an online shopping mall. Second coordinating recommendation information generated based on product-related information may be included.

That is, if the on-site weather is identified in the image, the generation unit 120 may generate coordinator recommendation information matching the on-site weather as first coordinator recommendation information based on information on clothes owned by the user, In addition, based on information on clothing products sold/transacted on the online shopping mall, recommendation information for coordinators matching the on-site weather may be generated as second recommendation information for coordinators. Based on this, the generating unit 120 may generate coordinator recommendation information including first coordinator recommendation information and second coordinator recommendation information as coordinator recommendation information in consideration of the identified on-site weather.

At this time, in the example of the present application, it is exemplified that both the first coordinator recommendation information and the second coordinator recommendation information are included in the generated coordinator recommendation information, but it is not limited thereto, and the generated coordinator recommendation information includes the first coordinator recommendation information and the second coordinator recommendation information. At least one of second coordinator recommendation information may be included. That is, the generated coordinator recommendation information may include only the first coordinator recommendation information, only the second coordinator recommendation information, or both the first coordinator recommendation information and the second coordinator recommendation information. In this case, the type of coordinator recommendation information to be provided as the coordinator recommendation information may be set by a user input, but is not limited thereto.

In addition, the first coordinating recommendation information may include one single coordinating data, but is not limited thereto, and may include a plurality of coordinating data. Similarly, single coordinating data or a plurality of coordinating data may be included in the second coordinating recommendation information.

Exemplarily, the first coordination recommendation information may include first coordination data including top A and bottom B, second coordination data including top A', bottom B', and shoes C as a plurality of coordination data. there is.

In addition, in one example of the present application, the generation unit 120 illustratively generates coordinating recommendation information based on clothing as coordinating recommendation information (ie, clothing-related coordinating recommendation information), but is not limited thereto. , The generation unit 120 may generate coordination recommendation information related to various fashion products as well as clothing. That is, coordinating recommendation information herein may be understood as a concept including recommendation information related to various fashion products, rather than simply meaning clothing-related recommendation information.

Here, various fashion products may include, for example, clothing, fashion miscellaneous goods, cosmetics, and the like. Clothing may include various clothes such as tops, bottoms, dresses, and underwear, and fashion miscellaneous goods may include accessories (accessories), shoes, handbags, wallets, belts, hats, and the like. Cosmetics may include powders, toners, lotions, serums, sunscreens, moisture creams, shampoos, lotions, and the like. This example is only one example to help the understanding of the present application, but is not limited thereto, and fashion products may include (considered) various articles, objects, etc. related to fashion, styling, appearance decoration, and the like. A fashion product herein may be otherwise referred to as a fashion item, a fashion product, and the like.

The control unit 130 may provide the coordinator recommendation information generated by the generation unit 120 to the user terminal 1 as customized coordinator recommendation information. That is, the control unit 130 may provide the coordinator recommendation information generated by the generating unit 120 to the user terminal 1 as custom coordinator recommendation information, and display the coordinator recommendation information on the screen of the user terminal 1 .

The determination unit 135 may determine whether or not the clothing product desired to be purchased for the user is suitable for wearing when a user input is made regarding the clothing product desired to be purchased by the user among the plurality of clothing products sold on the online shopping mall. there is. That is, when a user input is made on the desired-to-purchase clothing product, the determination unit 135 determines whether or not the desired-to-purchase clothing product is appropriate for the user to wear (practicality) prior to actually purchasing the desired-to-purchase clothing product. whether) can be determined.

At this time, the determination unit 135 compares, for example, the size of the desired-to-purchase clothing belonging to the same category and the size of the desired-to-purchase clothing among the owned clothing information stored in the owned-clothing storage unit 180. Through this, you can determine whether it is suitable for wearing. That is, the determination unit 135 may determine whether or not it is appropriate to wear based on a comparison between the size of clothing owned in the same type and the size of the clothing product desired to purchase based on whether the two sizes match.

Here, the category is information for classifying fashion products by type, and is exemplified by tops (short sleeves, long sleeves, sweatshirts, pole tees, etc.), bottoms (skirts, pants, shorts, long pants, leggings, jeans, etc.), coats ( Jacket, padding, cardigan, etc.), socks, hats, shoes, etc. may be divided into plural types.

Exemplarily, it is assumed that the clothing product desired to be purchased is shorts having a particularly large (L) size among bottoms. When a user input is made on the apparel product desired to purchase, the determination unit 135 first selects information on owned apparel belonging to the same category as the apparel product desired to purchase among information on owned apparel stored in the owned apparel storage unit 180. can be identified. That is, the determiner 135 may identify information about shorts from among information about owned clothes stored in the owned clothes storage unit 180 as information about owned clothes of the same type. At this time, it is assumed that the size of shorts (owned clothing shorts, owned shorts), which are identified clothing of the same type, is medium (M). In this case, the determination unit 135 compares the size of the clothing owned by the same type (eg medium size) and the size of the desired clothing product (eg large size), and as a result, the two sizes do not match each other (ie, mismatch), it may be determined that the wearability of the clothing product desired to be purchased for the user is unsuitable for wearing.

If the size of shorts owned by the same type of clothing is large, the determination unit 135 compares the size of the clothing owned by the same type (eg, medium size) with the size of the desired clothing product (eg, large size), Since the two sizes match each other (that is, both are large sizes), it may be determined that the clothing desired to be purchased for the user is suitable for wearing.

Thereafter, the controller 130 may transmit a purchase request signal for purchase of the desired clothing product when it is determined that the clothing product is suitable for wearing as a result of the determination by the decision unit 135 .

Here, the purchase request signal is a signal provided to enable automatic payment for the desired clothing product (or automatic delivery due to automatic payment) in association with an online shopping mall that sells the desired purchase clothing product, and/or desired purchase clothing It may be a signal providing a message notification on the screen of the user terminal 1 associated with the device 100 to encourage ordering of products.

As a result of the judgment by the determination unit 135, the control unit 130, when it is determined that the clothing product desired to be purchased is unsuitable for wearing, recommends an alternative clothing product that satisfies the wearing suitability condition and can be replaced with the desired clothing product. Information may be displayed on one area of the screen of the user terminal 1 .

Here, the wear suitability condition is a condition in which the size matches the size of clothes owned by the same type (first condition), and a condition in which the number of regions of the tightening part is less than a predetermined number in relation to information related to the tightening part to be described later (second condition). conditions) may be included. As an example, the controller 130 may display information on alternative recommended clothing products that satisfy both the first and second conditions in the wear suitability condition on the screen, but is not limited thereto. , information on alternative recommended apparel products that satisfy only one of the first and second conditions in the suitability conditions may be displayed on the screen.

Illustratively, when it is determined that the controller 130 is unsuitable for wearing, for example, the same type of clothing product as the clothing product desired to be purchased (eg, large size shorts), but stored in the owned clothing storage unit 180. Information on a clothing product having a size identical to the size of the clothing owned by the same type identified in (ie, medium size, which is the size of shorts owned by the user) may be displayed on the screen as information on alternative recommended clothing products. That is, the information on the alternative recommended apparel product is, for example, the same product as the apparel product you wish to purchase (eg, large-size shorts) but is one size smaller than the apparel product (ie, medium-sized shorts). may be information.

In addition, in one example of the present application, it is exemplified that the same type of apparel product of the same type but different size as the apparel product desired to be purchased is considered as an alternative recommended apparel product, but is not limited thereto. Other heterogeneous apparel products that are different in type from apparel products but have similar performance may be considered. In this case, the different types of clothing products may include clothing products having better reviews (evaluation), lower prices, or higher quality than the clothing products desired to be purchased.

For example, when it is determined that the clothing product is unsuitable for wearing, the control unit 130 preferentially provides information on the same type of clothing product that is different from the desired clothing product in size as alternative recommended clothing product information, and at this time, the same type of clothing product is When it does not exist (that is, when the same type of clothing product is out of stock or unavailable for purchase), information on other different types of clothing products having the same or similar performance as the clothing product desired to be purchased may be provided as a subordinate priority.

In addition, the determination unit 135 determines whether or not it is appropriate to wear by comparing the size of the clothing owned by the same type with the size of the clothing product desired to be purchased, and the tightening obtained through the execution of a wearing simulation by the simulation unit 190 described later. It is possible to determine whether the wearer is suitable for wearing based on the part-related information. A detailed description of this will be described later in detail.

In this device 100, when a user input on the desired-to-purchase clothing product is received, the desired-to-purchase clothing product is not immediately purchased. ), a purchase request signal is transmitted only when it is determined to be suitable for wearing so that purchase is possible, while when it is determined that it is not suitable for wearing, information on alternative recommended clothing products to be substituted is provided to the user, Reduces the probability of purchase failure when purchasing a desired apparel product (for example, reduces the problem of having to exchange or refund the apparel product for reasons such as small size), and purchases products with higher satisfaction can help make it possible.

In addition, the device 100 transmits a purchase request signal so that the user can simultaneously and collectively purchase clothing products desired to purchase (or fashion products desired to purchase) that the user desires to purchase. convenience can be improved.

In addition, when the present device 100 receives desired time information for providing coordinating recommendation information (or clothing recommendation information) from the user, in response, the device 100 provides user experience characteristic information and weather forecast information corresponding to the desired time information. Coordinator recommendation information may be generated in consideration of, and the generated coordinator recommendation information may be displayed on the screen as customized coordinator recommendation information customized for the user.

For example, the user terminal 1 may receive desired time information from the user to provide coordinator recommendation information, and may provide the input desired time information to the receiving unit 110 of the device 100 . Accordingly, the receiving unit 110 may receive desired time information from the user through the user terminal 1 .

In addition, the user terminal 1 may receive the user's body characteristic information from the user in addition to the desired time information, and may provide the received body characteristic information to the input unit 10 of the apparatus 100 to be described later. A description of this will be described later in detail.

The receiving unit 110 may receive desired time information for providing information on coordinating recommendation information from the user.

At this time, the desired time information received by the receiver 110 may include at least one of information of a specific date, information by time zone related to the specific date, and information of a specific date interval, but is not limited thereto.

Specifically, the desired time information may include, for example, information on a specific date designated by the user. Information on a specific date may mean information on a date on which the user desires to receive coordinator recommendation information. Exemplarily, information of a specific date may mean information of a date corresponding to one day (1 DAY), such as now (current time, today), tomorrow, the day after tomorrow, a week later, and the like. In this way, when information of a specific date is input as desired time information, the generation unit 120 may generate one piece of coordinating recommendation information corresponding to the desired time information as coordinating recommendation information. At this time, one coordinating recommendation information may mean single clothing information (in other words, one coordinating data), but is not limited thereto, and when there are a plurality of recommendable clothing information, a plurality of clothing information (a plurality of coordinating data). Coordination information) may mean information including.

In addition, the desired time information may include, for example, time-specific information related to a specific date. Exemplarily, when information for each time zone related to a specific date (eg, information for each time zone related to tomorrow's date) is input as the desired time information, the generation unit 120 generates information for each time zone of the specific date as coordinator recommendation information. Corresponding coordinator recommendation information may be generated. In this case, the generating unit 120 may generate one piece of coordination recommendation information including attire information corresponding to 6 o'clock tomorrow, attire information corresponding to 7 o'clock tomorrow, and attire information corresponding to 8 o'clock tomorrow. .

Also, the desired time information may include, for example, information of a specific date interval. Exemplarily, when information of a date interval corresponding to three days from now (today) to the day after tomorrow is input as desired time information, the generator 120 generates recommendation information for coordination corresponding to each specific date interval as coordination recommendation information. can create In this case, the generator 120 may generate one piece of coordination recommendation information including attire information corresponding to the present (today), attire information corresponding to tomorrow, and attire information corresponding to the day after tomorrow.

The generating unit 120, in response to the input of the desired time information input to the receiving unit 110, the user experience characteristic information obtained through analysis of a plurality of worn clothing history data pre-stored in the history storage unit 170 and the user's desired time Coordination recommendation information corresponding to desired time information may be generated in consideration of weather forecast information corresponding to time information.

Here, the worn clothing history data stored in the history storage unit 170 is the input value of the sensory temperature information when a user inputs to an input request message (an input request message for inputting sensory temperature information) to be described later. It may refer to data configured as a set and stored in association with at least one of a temperature measurement value of the surrounding environment, weather forecast information at the time of input, and attribute information of worn clothes. A more detailed description of this will be described later.

Although not shown in the drawing, the apparatus 100 may include an analysis unit (not shown). The analyzer (not shown) may analyze a plurality of worn clothing history data previously stored in the history storage unit 170 to provide user experience characteristic information.

At this time, the user's sensory characteristic information is information obtained by analyzing correlation information (correlation, relevance) between at least one of a temperature measurement value of the user's surrounding environment, weather forecast information at the time of input, and attribute information of clothing worn by the user and an input value of sensory temperature information. can mean Here, the sensible temperature information may refer to information about the degree of heat and/or degree of cold that the user relatively experiences (feels).

Accordingly, user sensory characteristic information refers to information obtained by analyzing a correlation between at least one of a temperature measurement value of a surrounding environment, weather forecast information, and attribute information of worn clothes and an input value of sensory temperature information input by a user (correlation information) can mean. That is, the user's sensory characteristic information may mean correlation information related to the user's sensory temperature information.

The analyzer (not shown) may use various correlation analysis algorithms previously known or developed in the future as an analysis algorithm when analyzing correlation information, but is not limited thereto.

For example, the analysis unit (not shown) learns a plurality of worn clothing history data stored in advance as a deep learning model based on a plurality of worn clothing history data previously stored in the history storage unit 170, thereby learning a deep learning model. User experience characteristic information can be obtained using .

At this time, the deep learning model takes at least one of a temperature measurement value of the user's surrounding environment, weather forecast information at the time of input, and attribute information of worn clothing from a plurality of worn clothing history data as an input value, and a worn clothing history matched with each input value. It may be a model learned to use an input value of sensible temperature information in data as an output value. User sensory characteristic information (correlation information between data stored as worn clothing history data) may be obtained using the pre-learned deep learning model.

Here, the deep learning model may mean an artificial intelligence (AI) algorithm model, a machine learning (machine learning) model, a neural network model (artificial neural network model), a neuro fuzzy model, and the like. In addition, the deep learning model is conventionally known or developed in the future, such as a Convolution Neural Network (CNN), a Recurrent Neural Network (RNN), and a Deep Neural Network, by way of example. Various neural network models may be applied.

Weather forecast information considered herein may be obtained from a Meteorological Administration server (not shown) connected to the apparatus 100 through the network 2, for example. The Korea Meteorological Administration server (not shown) may provide various types of information related to weather including weather forecast information.

The generation unit 120 corresponds to the user's sensory characteristic information (correlation information related to the user's sensory temperature information) provided by the analysis of the analyzer (not shown) and desired time information obtained from the Korea Meteorological Administration server (not shown). Coordination recommendation information corresponding to desired time information may be generated in consideration of weather forecast information.

The control unit 130 may control the operation of each unit in the device 100.

The control unit 130 may display the recommended coordination information generated by the generation unit 120 on the screen as personalized coordination recommendation information customized to the user. At this time, the screen on which information is displayed herein may mean, for example, a screen provided in the device 100 itself, but is not limited thereto, and may mean a screen of the user terminal 1 as another example. . Coordination recommendation information may refer to information recommending an outfit (coordination) to be worn on a time (date) corresponding to desired time information.

When some of the information about the owned clothes of the user stored in the owned clothes storage unit 180 is selected as the worn clothes, the control unit 130 inputs the sensory temperature information into one area of the screen at every preset time period. You can display an input request message for In particular, the control unit 130 performs an external activity after the user selects some of the owned clothing information stored in the owned clothing storage unit 180 as worn clothing and actually wears actual clothing corresponding to the selected worn clothing. In this case, an input request message may be displayed on one area of the screen for each preset time period while performing an external activity.

Here, the external activity may mean an act of walking around wearing clothes, such as going out. In addition, the preset time period may be set to, for example, 2 hours, 3 hours, etc., but is not limited thereto. In one example of the present application, it is illustrated that the preset time period is set in units of time, but this is only one example to help understanding of the present application, and is not limited thereto, and is set in various units such as seconds and days. It can be.

The controller 130 may display an input request message for input of sensible temperature information on the screen. Here, the sensory temperature information may refer to information about the degree of heat and/or cold that the user relatively experiences (feels) in comparison with a measured temperature value of the user's surrounding environment.

Even if the temperature of the weather is the same, each user feels (feel) a relative sensory temperature at the corresponding temperature. For example, let's say the current weather temperature is 22 degrees. At this time, if the first user is sensitive to cold and is wearing a thick long-sleeved top/long bottom, the sensory temperature may be warm (appropriate temperature). As another example, if the second user is sensitive to cold and is wearing a short-sleeved top (cotton tee)/short-sleeved bottom, the second user may feel cold as a sensible temperature. As another example, if the third user has a constitution that is sensitive to heat and is wearing a short-sleeved top/short-sleeved bottom, the third user may feel hot as a sensible temperature.

As such, the sensory temperature experienced by each user may be different depending on the user's original constitution or the surrounding environment/circumstances. However, since the conventional clothing recommendation technology generally provides average clothing (attire, coordination) recommendation information for a specific temperature, such average coordination recommendation information may be treated as unsatisfactory information for some users.

Accordingly, the apparatus 100 may display an input request message on the screen at every preset time period to acquire information about the temperature that the user feels, in order to provide recommended information for customized coordinates optimized for the user based on the information about the temperature that the user feels. .

The input request message may refer to a message requesting a user input for an inquiry asking whether the user is currently cold or hot.

The input request message may be, for example, a message including a query such as 'How are the clothes you are wearing at the current temperature?' and options such as 'cold', 'hot', and 'suitable'. In an example of the present disclosure, options for inputting sensible temperature information are exemplified as three (cold, hot, suitable) options, but are not limited thereto.

For example, options for inputting sensible temperature information are divided into 10 levels, and in this case, a lower level means stronger coldness, and a higher level means stronger heat. That is, level 1 may mean very cold, level 4 slightly cold, level 5 moderate, level 5 slightly hot, level 10 very cold, and the like.

In response to the display of the input request message on the screen, the user may input sensory temperature information that the user feels at the present time (ie, when the input request message is displayed). That is, the user may select one of a plurality of options related to sensory temperature information in response to the display of the message.

Thereafter, when a user input is made in response to the input request message, the controller 130 responds to the user input by measuring the temperature of the environment around the user corresponding to the time the user input was made and the input time point corresponding to the time the user input was made. At least one of the weather forecast information and the attribute information of the worn clothing corresponding to the time when the user input is linked with the input value of the sensory temperature information corresponding to the input request message, and stored in the history storage unit 170 as worn clothing history data. can be controlled as much as possible.

Here, the time at which the user input is made may mean the time at which the sensory temperature information is input by the user in response to the input request message displayed on the screen (current time).

The temperature measurement value of the environment around the user may refer to a value obtained by measuring the temperature of the environment (surrounding environment) where the user is located at the time when the user input is made. The temperature measurement value of the user's surrounding environment is, for example, a temperature measurement sensor (not shown) provided in the present device 100, a temperature measurement sensor (not shown) provided in the user terminal 1 possessed by the user, and the present device It can be obtained using at least one of temperature measuring sensors connected to (100) through the network (2) and provided (installed) in the space where the user is located.

Weather forecast information at the time of input may refer to weather forecast information corresponding to a date when a user input is made.

The attribute information of worn clothing is attribute information on the clothing (wearing clothing) actually worn by the user at the time the user input is made, and includes the type (type), material (material), thickness, and size (size, length) of the worn clothing. , color (color), etc., but is not limited thereto. Here, the type of clothing to be worn may illustratively mean information for distinguishing whether it is short-sleeved, long-sleeved, skirt, or outerwear.

An input value of the sensible temperature information may mean a value of one selected by a user from a plurality of options related to the sensible temperature information.

In this way, whenever an input request message is displayed on the screen at a predetermined time period, the controller 130 may, in response to a user input, at least one of the measured temperature value of the user's surrounding environment, the weather forecast information at the time of input, and the attribute information of the worn clothing. One may be created as worn clothing history data by linking it with the input value of the sensory temperature information and stored in the history storage unit 170 . At this time, if schedule information (schedule information including acquaintance information) to be described later exists in the worn clothing history data, the schedule information may be linked together and stored.

In the history storage unit 170 , worn clothing history data generated in response to a user input for each preset time period may be accumulated and stored. Thereafter, the analyzer (not shown) analyzes (in particular, analyzes correlation) a plurality of worn clothing history data (a plurality of cumulative worn clothing history data) stored in the history storage unit 170 to obtain user experience characteristic information. can be obtained Thereafter, the generation unit 120 may generate coordination recommendation information corresponding to desired time information in consideration of the obtained user experience characteristic information and weather forecast information.

As the user experience characteristic information, which is the above-described correlation information, is obtained through analysis by the analysis unit (not shown), the generation unit 120, for example, obtains from the Korea Meteorological Administration server (not shown) when desired time information is input. If there is weather forecast information corresponding to the desired time information, based on the user experience characteristic information, 'the user will feel a certain amount of cold (or heat) on the date corresponding to the desired time information'. Temperature prediction information may be acquired, and coordination recommendation information corresponding to desired time information may be generated based on the obtained sensory temperature prediction information.

As another example, it is assumed that when desired time information is input, weather forecast information and selected clothing information corresponding to the desired time information obtained from the Meteorological Administration server (not shown) exist. Here, the selected clothing information may refer to clothing information that the user selects from among owned clothing stored in the owned clothing storage unit 180 to be worn on a date corresponding to desired time information. In this case, the generation unit 120 makes a prediction such as 'if the user wears clothing corresponding to the selected clothing information in the desired time information, the user will feel very hot (or very cold)' based on the user experience characteristic information. obtained information (ie, sensible temperature prediction information), and based on the obtained sensible temperature prediction information, coordination recommendation information corresponding to desired time information may be generated.

The location determining unit 140 may determine whether the user is located outdoors or indoors based on the user's location information obtained through a location measurement sensor (not shown).

Here, the location measurement sensor (not shown) may refer to at least one of a location measurement sensor provided in the apparatus 100 and a location measurement sensor provided in the user terminal 1 possessed by the user. A location measurement sensor (not shown) may be otherwise referred to as a GPS sensor or the like.

The control unit 130 stores the worn clothing history data in the history storage unit 170 in response to a user input for displaying an input request message according to the location determination result by the location determination unit 140, and weather forecast information at the time of input. Can optionally be included and stored.

For example, when it is determined that the user is located outdoors as a result of location determination, the controller 130 may include weather forecast information at the time of input when saving the history data of the worn clothes in the history storage unit 170 . On the other hand, when it is determined that the user is indoors as a result of location determination, the controller 130 may not include the weather forecast information at the point of input when storing the worn clothing history data in the history storage unit 170 .

When the user is located outdoors, it can be said that the user is directly affected by weather forecast information since the user is exposed to outdoor light. On the other hand, when the user is located indoors, a limited space is formed due to the structure in the indoor case, and as the air conditioner or heater operates in the space, it is not greatly affected by the weather forecast information, but rather measures the temperature of the environment around the user. It can be said that the state is more affected by the value.

That is, it can be said that the weather forecast information reacts more sensitively to (is influenced by) the sensory temperature information, which is the temperature that the user feels when the user is outdoors than when the user is indoors.

Therefore, when the controller 130 stores the worn clothing history data in the history storage unit 170 in response to the user's input for the input request message, the weather at the time of input is determined depending on whether the user is located outdoors or indoors. Forecast information can be selectively included and stored. That is, when it is determined that the user is located outdoors, the controller 130 includes the weather forecast information at the time of input and stores the worn clothing history data, and when the user is located indoors, the weather forecast information is excluded and worn when the user is indoors. Clothing history data can be stored. Since the device 100 analyzes and obtains the user's sensory characteristic information considering the user's sensory temperature information, it is possible to obtain more reliable and accurate user's sensory characteristic information, resulting in optimum customization to the user. customized coordination recommendation information can be provided.

The preset time period during which the input request message is displayed on the screen by the control unit 130 is based on the location determination result determined by the location determination unit 140, compared to when the user is located indoors, compared to when the user is located outdoors. In this case, it can be set shorter.

That is, the preset time period in which the input request message is displayed may be set to a first period when the user is located indoors and set to a second period when the user is located outdoors. In this case, the first period may be set shorter (set to a smaller value) than the second period. Illustratively, the first period may be set to 1 hour, and the second period may be set to 2 hours longer than the first period.

According to this, when it is determined that the user is located outdoors, the controller 130 displays an input request message on the screen every hour, and when it is determined that the user is located indoors, the controller 130 displays an input request message every 2 hours. It can be displayed on the screen in cycle units.

In the present device 100, when the user is outdoors, the possibility of being active (the possibility of being in motion) (for example, the possibility of being in motion, such as walking or running) is higher than when the user is indoors, and thus the user feels It can be determined that the change in the perceived temperature is more likely to change more flexibly when outdoors than when indoors. Accordingly, the apparatus 100 varies a preset time period in which an input request message is displayed depending on whether the location of the user analyzed by the analyzer (not shown) is outdoor or outdoor, thereby increasing the sensory temperature experienced by the user. Changes can be reflected in real time so that more optimized customized coordination recommendation information can be provided.

The generating unit 120 further considers at least one of the user's individual hospital visit history information, the user's biometric information, and the user's constitutional information, in addition to generating the coordination recommendation information in consideration of the user's experience characteristic information and the weather forecast information. Accordingly, coordinating recommendation information corresponding to desired time information may be generated.

Here, the hospital visit history information may include, for example, information related to whether a cold has occurred or not, information related to whether a headache has occurred, etc., but is not limited thereto. Hospital visit history information, for example, from an EMR server (not shown) and/or a hospital server (not shown) that records an electronic medical record (EMR) connected through the device 100 and the network 2. It can be obtained through analysis of the obtained electronic medical records.

The user's biometric information may refer to various types of information related to the user's characteristics including, for example, the user's blood pressure, body temperature, and electrocardiogram signal. The user's biometric information may be exemplarily obtained from a wearable device (not shown) connected to the device 100 through the network 2 and worn on a part of the user's body. Here, the wearable device (not shown) may include, but is not limited to, a smart watch, etc., and any device that is wearable on at least part of the user's body, such as a watch, glasses, headset, etc., can be applied. do.

The user's constitutional information may include, for example, preferred food information and allergy information. Such constitutional information of the user may be obtained, for example, by the user directly typing through the user terminal 1, or may be obtained from the electronic medical record recorded in the above-described EMR server (not shown).

Illustratively, when the controller 130 wants to store the worn clothing history data in the history storage unit 170, the EMR server (not shown) and/or the hospital server (not shown) at the time when the user input for the input request message is made. By analyzing the electronic medical record obtained from the city), it is possible to check whether the user's individual hospital visit history information exists.

In this case, it is assumed that as a result of the confirmation, there is information related to whether or not a cold has occurred in relation to the individual user's hospital visit history information, and as a result of analyzing this information, it is confirmed that the user is currently suffering from a cold. In this case, when storing the worn clothing history data, for example, the control unit 130 converts at least one of the temperature measurement value of the user's surrounding environment, the weather forecast information at the time of input, and the attribute information of the worn clothing and the input value of the sensory temperature information to each other. In addition to the associated information, information related to whether or not a cold has occurred indicating that 'the user is currently suffering from a cold' is linked to the history storage unit 170 as worn clothing history data (for example, first worn clothing history data). can be saved

According to this, illustratively, the worn clothing history data (for example, the first worn clothing history data) stored in the history storage unit 170 is 'according to the temperature measurement value of the environment around the user where the user is located, the temperature around the user is 19 According to the property information of the clothes currently worn by the user, the user is wearing a cotton long-sleeved top and shorts made of cotton with a thickness of 3 mm, and according to the weather forecast information at the time of input, it corresponds to the time when the user input was made. The weather forecast information for the date is 20 degrees, and according to the user's individual hospital visit history information, the information indicating that the user is currently suffering from a cold' The temperature information may be, for example, information corresponding to 'a little hot' corresponding to the 5th level linked to each other.

That is, in the history storage unit 170, for example, when the user catches a cold, how many degrees is the temperature measurement value of the surrounding environment at that time, what weather forecast information was at that time, and what attribute information of the clothes worn at that time. In this case, information indicating how hot and/or cold the user relatively felt (felt) may be stored as first worn clothing history data.

The analysis unit (not shown) analyzes a plurality of worn clothing history data, such as the first worn clothing history data stored in the history storage unit 170, to store different types of data (eg, Sensory characteristics information representing correlations among five types of data including measured temperature values of the user’s surrounding environment, weather forecast information at the time of input, attribute information of clothes worn, input values of sensory temperature information, and information related to whether or not a cold has occurred) can be obtained. Thereafter, when desired time information is input, for example, as a result of analyzing the electronic medical record, the generating unit 120 determines that 'the user is currently suffering from a cold' and obtains weather forecast information corresponding to the corresponding time information. state, sensory temperature prediction information that 'the user will feel a little cold on a date corresponding to the desired time information' may be obtained based on the user's sensory characteristic information obtained by the analyzer (not shown). Thereafter, the generation unit 120 determines that the most suitable to wear when the user feels a little cold among the information on a plurality of owned clothes previously stored in the owned clothes storage unit 180 based on the acquired sensory temperature prediction information. At least one piece of clothing may be selected. Then, the generation unit 120 may generate coordination recommendation information including the selected at least one garment, and provide the generated coordination recommendation information to the controller 130 to be displayed on the screen as customized coordination recommendation information.

In the above-described example, when the generating unit 120 generates the recommendation information for coordinators by further considering at least one of the user's personal hospital visit history information, the user's biometric information, and the user's constitutional information, illustratively, the user's personal A case in which coordinator recommendation information is generated in consideration of hospital visit history information is specifically exemplified. This is only an example to help the understanding of the present application, but is not limited thereto. In contrast to the process of generating the coordinator recommendation information, it may be performed in the same or similar manner. Therefore, even if the details are omitted below, the description of the process of generating recommendation information for coordinators in consideration of the user's individual hospital visit history information is only the subject of consideration, and the process of generating recommendation information for coordinators in consideration of the user's biometric information and the constitution of the user The same can be applied to a description of a process of generating coordinator recommendation information considering information.

The owned clothing management unit 150 may acquire information about owned clothing owned by the user (possession, possessed), store and manage information in the owned clothing storage unit 180 .

Here, the owned clothes may refer to clothes (eg, clothes, pants, skirts, dresses, suits, etc.) actually owned by the user. Here, the information on the owned clothing may include at least one of image information on the corresponding clothing (owned clothing), purchase date information of the owned clothing, and attribute information on the owned clothing, but is not limited thereto, and various types of information may be stored. can

Here, the information about the owned clothing may be obtained by, for example, the user directly typing through the user terminal 1 . As another example, information on owned clothes may be acquired by a user photographing owned clothes through an image sensor (not shown) of the user terminal 1 . As another example, information on owned clothing is acquired through image analysis of the acquired image information when the user acquires image information on owned clothing through an image sensor (not shown) of the user terminal 1. It can be obtained by searching for clothes (matching clothes) that match the owned clothes in the image information on the Internet (or online shopping mall), and crawling (collecting) recorded information about the searched matching clothes. However, these examples are only examples to aid understanding of the present application, and are not limited thereto, and information on owned clothes may be obtained in various ways.

In other words, for example, the information about the clothes owned by the user is entered by typing, or when the user inputs the item number information on the clothes owned by the user, the matching information is automatically searched by linking with the online shopping mall or clothing company DB. It can be input by extracting detailed information from the corresponding online shopping mall site. The information about the owned clothes may include image information of the owned clothes, manufacturing year information, purchase date information, color, color, size, and the like.

Owned clothes management unit 150 satisfies a preset wear condition among owned clothes (owned clothes) stored in owned clothes storage unit 180 based on analysis of a plurality of worn clothes history data previously stored in history storage unit 170 worn-out clothing can be identified.

Here, the preset wear condition may be, for example, a condition in which the number of times the number of owned clothes stored in the owned clothes storage unit 180 as worn clothes is equal to or greater than a preset number of times. The preset number of times may be illustratively set to 80 times, 100 times, etc., but is not limited thereto and may be set in various ways.

As another example, the preset worn-out condition may be a condition in which a preset period of time has elapsed from a date corresponding to date information on the purchase of owned clothes among the owned clothes stored in the owned clothes storage unit 180 . Here, information on the date the owned clothing was purchased may be identified from information about the owned clothing stored in the owned clothing storage unit 180 . In addition, the preset period may be, for example, 3 years, but is not limited thereto and may be set in various ways.

According to this, the owned clothing management unit 150, as an example, among the owned clothing information stored in the owned clothing storage unit 180, sets the owned clothing that has been worn more than 80 times or that has passed 3 years from the date of purchase to a preset wear and tear condition. It can be identified as worn clothing that meets the conditions.

In response to the identification of worn clothing by the owned clothing management unit 150, the generation unit 120 generates an alternative clothing recommendation list for replacing the identified worn out clothing and displays the generated alternative clothing recommendation list on the screen. It can be provided to the control unit 130.

That is, when the owned-clothing management unit 150 identifies at least one of the owned-clothing information stored in the owned-clothing storage unit 180 as worn-out clothing, the generation unit 120 responds to the worn-out clothing identification, A recommendation list for recommending replacement clothing to replace worn-out clothing with other clothing (ie, a replacement clothing recommendation list) may be created. Thereafter, the generation unit 120 may provide the generated alternative clothing recommendation list to the controller 130 to display on the screen, and the controller 130 may display the provided alternative clothing recommendation list on one area of the screen. there is.

In other words, when worn clothing is identified by the owned clothing management unit 150, the generation unit 120 may generate and provide an alternative clothing recommendation list for recommending alternative clothing that can be replaced in relation to the identified worn clothing. .

At this time, the alternative clothes included in the alternative clothes recommendation list may include at least one of clothes sold (transacted) on the online shopping mall. Here, as the description of the alternative clothing included in the alternative clothing recommendation list, the description of the alternative recommended clothing product (ie, when the determination unit 140 determines that the clothing product desired to be purchased is unsuitable for the user to wear). , Contents described with respect to alternative recommended clothing products provided by the controller 130 to one area of the screen) may be equally applied.

Specifically, the alternative clothing included in the alternative clothing recommendation list includes the same (same type) replacement clothing that is the same as the worn-out clothing and similar replacement clothing (or heterogeneous replacement clothing) that has similar performance to the worn-out clothing. can At this time, similar replacement clothes may include clothes with better reviews (evaluation), lower prices, or better quality compared to worn-out clothes that are determined to be replaced.

According to this, the apparatus 100 determines that replacement of worn-out clothing is necessary for worn-out clothing that satisfies a preset worn-out condition among clothes owned by the user, and performs the same or similar performance thereto. By providing an alternative clothing recommendation list including other clothing that the user has, it is possible for the user to easily compare several clothing items and make a more reasonable selection in determining clothing to replace worn-out clothing.

That is, when the worn clothing is identified, the apparatus 100 may determine that replacement (replacement) is necessary for the identified worn clothing, and may provide a list of recommended replacement clothes for replacing the worn clothing. At this time, the worn clothing and Not only the same clothing, but different types of clothing with good performance and good cost-effectiveness may be included in the alternative clothing recommendation list and provided (recommended) as alternative clothing. This apparatus 100 allows the user to reasonably compare/select products when replacing (replacement) worn clothes, and can support replacement (replacement) and management more easily and efficiently.

Also, the owned clothing management unit 150 may determine whether or not used clothing that meets a predetermined used transaction condition exists among owned clothing stored in the owned clothing storage unit 180 .

Here, the preset used transaction conditions may include a plurality of conditions as follows. For example, in the pre-set used transaction condition, the first used transaction condition in which the use (wearing) of the owned clothing is not made for a preset period of time (eg 1 year), the owned clothing for a preset period of time (eg 1 year) A second used transaction condition in which the number of times of use (number of times worn) is less than or equal to a preset number of times (for example, twice), and a predetermined period from the registration date (or purchase date of owned clothes) when owned clothes are registered in the owned clothes storage unit 180 (For example, 2 years) may include at least one of the third used transaction conditions that have elapsed.

In addition, the owned-clothing management unit 150 may recognize worn-out clothes identified as meeting the above-described worn-out conditions among owned clothes stored in the owned-clothes storage unit 180 as used clothes. That is, when worn clothes are identified, the owned clothes management unit 150 may recognize the identified worn clothes as used clothes and determine that used clothes exist in the owned clothes storage unit 180 .

Thereafter, if it is determined that used clothes exist as a result of the determination by the owned clothing management unit 150, the controller 130 determines that the used clothes are unlikely to be worn by the user in the future, and provides information on the used clothes. An upload request signal for uploading to a used trading site may be generated and provided to the screen of the user terminal 1 .

As an example, let's say the used clothing is A jeans. At this time, the upload request signal exemplarily includes a message including a query such as 'Among the clothes you have, you haven't worn Jeans A for a year. (signal). Such an upload request signal may be displayed on the screen of the user terminal 1 in the form of a pop-up, for example.

At this time, it is assumed that the user makes an acceptance response as a response to the upload request signal (message) provided on the screen of the user terminal 1 . In this case, the controller 130 may generate transaction information related to used clothes in response to an upload request signal in response to an acceptance response, and upload the generated transaction information on a used transaction site linked with the device 100. there is.

Here, the transaction information may include at least a part of information about used clothes stored in the owned clothes storage unit 180 (ie, information about used clothes). For example, the transaction information may include a purchase date, size, color, image information, etc. of the used clothing in relation to the used clothing. It is not limited thereto, and the transaction information may include, for example, information about the number of wearing times that can be obtained based on analysis of data stored in the history storage unit 170 .

According to this, the device 100 uses clothes owned by the user that are registered and managed in the owned clothes storage unit 180 and are judged to be unlikely to be worn by the user in the future or worn too much. It is automatically recognized (determined, identified) as clothing, and the used clothing can be uploaded to a used trading site to be sold to other users. This device 100 can automatically upload and sell clothes that are not likely to be used (less likely to be used) among clothes owned by the user on a second-hand trading site. It is possible to efficiently manage and dispose of unnecessary clothes easily.

When the desired time information received by the reception unit 110 is a specific date, the schedule determining unit 160 may determine whether pre-registered schedule information related to a meeting with an acquaintance exists on the specific date. That is, when the desired time information received by the reception unit 110 is information on a specific date, the schedule determination unit 160 may use pre-registered schedule information (ie, It is possible to determine whether schedule information related to a meeting with an acquaintance exists.

Such schedule information may mean, for example, information recorded in a schedule management menu (eg, a calendar menu) provided through the device 100 . For example, when a user promises to meet with a first acquaintance among a plurality of acquaintances on the day after tomorrow, by entering the schedule management menu provided through the device 100, on the date corresponding to the day after tomorrow, '3:00 pm with the first acquaintance' You can save (record) schedule information such as 'meeting at .'

At this time, when the desired time information received by the receiving unit 110 is information on a specific date and is the day after tomorrow, the schedule determiner 160 determines the day after tomorrow, which is the date corresponding to the desired time information, based on the schedule information stored in the schedule management menu. It may be determined that pre-registered schedule information related to the meeting with the first acquaintance exists in .

At this time, the generation unit 120 determines in the past based on the analysis of a plurality of worn clothing history data pre-stored in the history storage unit 170, if the registered schedule information exists as a result of the determination by the schedule determination unit 160. Statistical information about acquaintances (for example, first acquaintances) on clothes worn at the time of meeting may be calculated, and coordinating recommendation information may be regenerated based on the calculated statistical information of acquaintances.

According to this, the analyzer (not shown) may not only acquire the above-described user experience characteristic information through correlation analysis based on a plurality of worn clothing history data previously stored in the history storage unit 170, but also previously stored Statistical information may be generated by performing statistical analysis based on a plurality of worn clothing history data.

When storing the worn clothing history data in the history storage unit 170, for example, when there is schedule information corresponding to the time when the worn clothing history data is stored (in particular, schedule information including acquaintance information), the history storage unit In 170 , schedule information (particularly, schedule information including acquaintance information) may be stored in association with worn clothing history data.

That is, in the above-described example, at least one of the temperature measurement value of the user's surrounding environment, the weather forecast information at the time of input, and the attribute information of the worn clothing and the input value of the sensory temperature information are linked to each other to form one data set, thereby configuring the worn clothing history. Although it has been exemplified as being stored in the history storage unit 170 as data, it is not limited thereto, and if there is schedule information including acquaintance information, worn clothing history data further linked with the schedule information is stored in the history storage unit 170. can be saved

Through this, the analysis unit (not shown) may generate statistical information through statistical analysis of a plurality of worn clothing history data stored in the history storage unit 170 .

Thereafter, the generation unit 120, for example, when it is determined that there is pre-registered schedule information related to the first acquaintance on a specific date corresponding to the desired time information, an analysis unit (not shown) analyzes (statistical analysis) Based on the statistical information generated through this process, acquaintance statistical information on the clothes worn when meeting the first acquaintance in the past may be calculated, and coordinating recommendation information may be regenerated based on the calculated acquaintance statistical information.

In this case, recommendation information for coordinators generated by the generation unit 120 in consideration of the user experience characteristic information and weather forecast information without considering schedule information (or statistical information) may be referred to as first coordinator recommendation information. On the other hand, coordinator recommendation information generated in consideration of schedule information (or statistical information) may be referred to as second coordinator recommendation information as coordinator recommendation information different from the first coordinator recommendation information. That is, the generation unit 120 may regenerate the recommendation information for coordinators into second coordinator recommendation information instead of the first coordinator recommendation information in consideration of schedule information (or statistical information).

Specifically, the recommendation information for coordinators generated in consideration of the user experience characteristic information and the weather forecast information may be first coordinator recommendation information. Based on the calculated acquaintance statistical information, the generation unit 120 determines the number of times of wearing the owned clothing corresponding to the previously generated first coordinating recommendation information (that is, the first coordinating clothing corresponding to the first coordinating recommendation information in the past). If it is determined that the number of times worn when meeting an acquaintance exceeds the preset number of times, the previously generated coordination recommendation information (first coordination recommendation information) is regenerated as second coordination recommendation information different from the first coordination recommendation information. can Thereafter, the controller 130 may display the regenerated second coordination recommendation information on the screen as customized coordination recommendation information.

Here, the preset number of wearing times may be illustratively set to 5 times, but is not limited thereto, and the number of times may be set in various ways.

According to this, the generation unit 120 determines that the clothing owned by the first coordinator recommendation information has been worn several times (for example, five times or more, which is a preset number of times) when meeting a specific acquaintance (first acquaintance) in the past. , second coordinating recommendation information including clothing different from the owned clothing corresponding to the first coordinating recommendation information may be generated.

In another example, irrespective of schedule information (acquaintance statistical information), the generation unit 120, for example, based on the statistical information obtained by the analysis of the analysis unit (not shown), collects information corresponding to the first coordinator recommendation information. If it is determined that the number of times the clothing is worn is greater than or equal to the preset number during the preset section period, the recommendation information for the coordinator may be regenerated as the recommendation information for the second coordinator instead of the first recommendation information for the coordinator. Here, the preset interval period may be, for example, a period before one week or two weeks before the time when the recommendation information for coordinating is generated, but is not limited thereto. In addition, the preset number of times may be, for example, three times, but is not limited thereto.

According to this, the generating unit 120 recommends a first coordinator when the owned clothes corresponding to the first coordinator recommendation information are clothes that have recently been worn several times (for example, three times or more, which is a preset number of times) in a week, for example. Second coordinating recommendation information including clothes different from the owned clothes corresponding to the information may be generated.

At this time, coordinator recommendation information generated by the generation unit 120 (ie, coordinator recommendation information including first coordinator recommendation information and second coordinator recommendation information) is stored in the owned clothing storage unit 180 (owned clothing). It may be information generated based on clothes). That is, the generation unit 120 may generate coordinating recommendation information based on clothes owned by the user (owned clothes).

In addition, as an example, as a result of the determination by the schedule determining unit 160, the control unit 130 determines that the desired time information is a specific date and there is pre-registered schedule information related to a meeting with an acquaintance (eg, a first acquaintance) on the specific date. If it is determined to do so, identify the acquaintance information (first acquaintance information) about the acquaintance (for example, the first acquaintance) included in the pre-registered schedule information, and identify the first acquaintance information (first acquaintance information) from the identified acquaintance information (first acquaintance information). of contact information can be extracted. Here, the acquaintance information may include the acquaintance's name, contact information, address, etc., but is not limited thereto and may include various types of information. Thereafter, the controller 130, based on the extracted contact information of the first acquaintance, provides meeting-related schedule information that the user and the acquaintance (first acquaintance) have decided to share with each other (ie, a pre-registered schedule related to meeting the acquaintance). information) may provide a schedule notification message.

In this case, the controller 130 may provide the schedule notification message prior to a preset time from a date corresponding to pre-registered schedule information (a specific date corresponding to desired time information). Here, the preset time may be illustratively 24 hours ago, but is not limited thereto. In addition, the controller 130 may provide a schedule notification message to the user terminal 1 storing the previously registered schedule information and the terminal of an acquaintance (first acquaintance) related to the previously registered schedule information.

That is, in providing a schedule notification message, the control unit 130 does not provide schedule information related to a meeting with an acquaintance only to the user terminal 1 of a previously registered user, but to the user terminal 1 and the previously registered schedule information. A schedule notification message may be provided to each terminal of an acquaintance corresponding to the contact information of the acquaintance included in .

According to this, the present device 100 provides a schedule notification (schedule notification) for a meeting appointment that the user and an acquaintance (first acquaintance) have agreed to make together, not only to the user who has registered/stored the schedule in his/her terminal, but also to , It can be made known together (simultaneously) to all of the acquaintances (ie, the first acquaintance) related to the schedule. Even if the first acquaintance does not separately record or memo the schedule for meeting (meeting appointment) with the user, the device 100 is a pre-registered schedule pre-registered in the user's terminal (user terminal). Information can be provided so that the first acquaintance can be notified of the schedule for the meeting (meeting appointment), so that not only the user (user) but also the other party (eg, the first acquaintance) who has decided to make a meeting appointment By reminding not to forget the schedule, it is possible to help smooth progress of meeting with each other.

That is, the controller 130 may provide a schedule notification message to each of the user terminal 1 and the terminal of an acquaintance. At this time, the device 100 provides, for example, a schedule notification message to the user terminal 1 (displays the schedule notification message on the screen of the user terminal), and then checks a message indicating that the provided schedule notification message has been confirmed in response thereto. A signal may be received through a user input (eg, a touch input on a screen, etc.).

At this time, the control unit 130, after providing the schedule notification message to the user terminal 1, if the message confirmation signal is not received within a preset time (for example, 3 hours) (ie, the user's response to the provided schedule notification message) When the confirmation input is not performed), it is recognized that the user has not checked the provided schedule notification message, and the notification providing type for providing the schedule notification message may be changed.

Here, changing the notification providing type means, for example, when the notification providing type of the schedule notification message is currently a vibration notification, changing the vibration intensity of the schedule notification message from a first vibration intensity to a second vibration intensity stronger than that. that can mean According to this, the control unit 130, when the message confirmation signal is not received within a preset time (for example, 3 hours) after primarily providing the schedule notification message to the user terminal 1 at the first vibration intensity, the control unit ( 130) may change the vibration intensity from the first vibration intensity to the second vibration intensity, and then provide (transmit) a schedule notification message having the changed second vibration intensity to the user terminal 1 again.

As another example, changing the notification provision type may mean changing the notification provision type of the schedule notification message to another heterogeneous type, for example, when the notification provision type of the schedule notification message is currently a vibration notification. Here, the notification provision type may include at least one of a vibration notification, a sound notification, and a phone call notification. According to this, if the control unit 130 does not receive a message confirmation signal within a preset time (for example, 3 hours) after primarily providing a schedule notification message as a vibration notification to the user terminal 1, the control unit 130 may change the notification provision type from a vibration notification to a sound notification, and then provide a schedule notification message having the changed sound notification to the user terminal 1 again. According to the provision of a schedule notification message having such a sound notification, in response thereto, the user terminal 1 may output a sound notification such as 'a schedule notification message exists' through a speaker unit (not shown).

If, after the control unit 130 primarily provides a schedule notification message as a sound notification to the user terminal 1, if the message confirmation signal is not received within a preset time (for example, 3 hours), the control unit 130 After the notification provision type is changed from sound notification to phone notification, a schedule notification message having the changed phone notification may be provided to the user terminal 1 again. According to the provision of such a schedule notification message with phone notification, an automatic answering phone connection such as ARS is made to the user terminal 1 in response thereto, and the schedule notification message can be provided to the user through this ARS.

In this way, the present device 100 provides a changed notification by changing the notification provision type if a response (message confirmation signal) is not received within a preset time (for example, 3 hours) after the schedule notification message is first provided. By providing the schedule notification message again in a tangible manner, it is possible to help the user more accurately recognize (certainly recognize) confirmation of the schedule notification message.

In addition, in generating coordinator recommendation information, for example, the generation unit 120 determines temperature difference information between night and day from weather forecast information corresponding to desired time information obtained from the Korea Meteorological Administration server (not shown), and the determined temperature difference information Different coordinating recommendation information may be generated according to the level (degree) of Here, night and day may mean commonly defined time zones, but are not limited thereto.

Illustratively, it is assumed that tomorrow's date is input as desired time information. In this case, the generating unit 120 may obtain weather forecast information corresponding to tomorrow from the Korea Meteorological Administration server (not shown), and determine temperature difference information between night and day from the obtained weather forecast information corresponding to tomorrow.

At this time, the generator 120 generates first coordinator recommendation information if the determined temperature difference information belongs to the first range, generates second coordinator recommendation information if the temperature difference information belongs to the second range, and generates second coordinator recommendation information if the temperature difference information belongs to the second range. If it falls within the range of 3, third coordinator recommendation information may be generated.

Here, the first range means, for example, a range in which the temperature difference between night and day is 0 degrees or more and less than 5 degrees, and the second range means a range in which the temperature difference between night and day is 5 degrees or more and less than 10 degrees. And, the third range may mean a range in which the temperature difference between night and day is 10 degrees or more.

In this case, as an example, the first coordinator recommendation information includes information about owned clothing whose thickness is less than the first value, and the second coordinator recommendation information is a clothing thickness greater than or equal to the first value and greater than the first value. Information on owned clothing belonging to a value less than 2 may be included, and the third coordinating recommendation information may include information on owned clothing belonging to a value greater than or equal to the second value. Here, the first value may be 1 mm and the second value may be 3 mm, but is not limited thereto.

According to this, the apparatus 100 may generate customized coordination recommendation information suitable for the corresponding level according to the level of the temperature difference information between night and day, and provide it to the user.

As described above, whenever a user inputs an input request message, the history storage unit 170 may generate and store worn clothing history data corresponding to the input request message. The owned clothing storage unit 180 may store information about owned clothing owned by the user. Since the description of this has been described in detail above, a detailed description thereof will be omitted.

The coordination recommendation information generated by the generation unit 120 in the present device 100 may be coordination recommendation information related to attire information (coordination information) generated based on at least one piece of clothing owned by the user. . However, it is not limited thereto, and the coordination recommendation information generated by the generation unit 120 is a fashion product (which means various fashion-related products including clothes, fashion miscellaneous goods, cosmetics, etc.) sold and traded on an online shopping mall to be described later. ) may be coordinating recommendation information related to coordinating information generated based on at least one fashion product.

The apparatus 100 may include a simulation unit 190. When the user's body characteristic information is input, the simulation unit 190 generates an avatar taking the input body characteristic information into consideration, and when the user selects a desired fashion product to which wearing simulation is applied among a plurality of fashion products, , It is possible to generate an image of an avatar wearing a product that has worn the selected fashion product desired to be worn and display it on the screen. A more detailed description of this is as follows.

For example, the user terminal 1 may receive user's body characteristic information from the user, and may provide the received body characteristic information to the input unit 10 of the simulation unit 190 . Accordingly, the input unit 10 may receive the user's body characteristic information from the user through the user terminal 1 . In addition to this, the user terminal 1 may control (remotely control) the operation of each unit in the device 100 including the simulation unit 190 .

The simulation unit 190 may include an input unit 10, an avatar generator 20, a simulation control unit 30, an identification unit 40, and an evaluation unit 50.

In the present application, as an example, the input unit 10 and the receiver 110 are illustrated as being separate components, but are not limited thereto, and the input unit 10 and the receiver 110 may be a single component. Therefore, the description of the input unit 10 can be equally applied to the description of the receiver 110, and vice versa.

The input unit 10 may receive body characteristic information, which is information related to the user's body characteristic, from the user. The input unit 10 may receive body characteristic information through the user terminal 1 or through a screen provided in the device 100 itself.

Here, the body characteristic information may include, for example, at least one of the user's body shape, face shape, and skin tone. In this case, information about the user's body shape may mean information about the shape (form, shape) of the user's body. However, it is not limited thereto, and the user's body shape information may include various types of information about the user's body size, such as the user's height, weight, foot size, waist size, and chest size. The body characteristic information may refer to all information necessary for generating a 3D avatar (3D model) resembling the user.

For example, the input unit 10 may directly receive the user's body characteristic information from the user through the user terminal 1 through typing.

As another example, the input unit 10 may receive the user's body characteristic information by extracting it from a user photographed image obtained from the user terminal 1 . As a specific example, in order to input body characteristic information, for example, the user may take a picture of himself or herself using a camera of the user terminal 1 so that the body characteristic information of the user can be extracted. At this time, photographing to enable extraction of the user's body characteristic information means that the user's whole body part (or at least some of the user's body parts) is captured so that the user's body shape (body shape), face shape, and skin tone appear. site) from the front, side, etc., but is not limited thereto.

When a user-captured image, which is an image of the user himself/herself, is acquired through the user terminal 1, the input unit 10 performs image analysis on the acquired user-captured image to extract body characteristic information from the user-captured image. can do. The input unit 10 may receive the body characteristic information extracted from the user's photographic image as the user's body characteristic information. Here, in the image analysis, various image analysis algorithms known or developed in the future may be applied.

The avatar generator 20 may create an avatar taking into consideration the body characteristic information input from the input unit 10 .

The avatar created by the avatar generator 20 may be a three-dimensional avatar created by considering at least one of a user's body shape, face shape, and skin tone input as body characteristic information. The avatar created by the avatar generator 20 may preferably be a three-dimensional avatar created by reflecting all of the body characteristic information input from the input unit 10 .

The avatar creation unit 20 may generate an avatar having a shape very similar to (similar to) a user in 3D modeling based on the body characteristic information. The avatar generator 20 may generate an avatar having a body shape similar to the user himself.

The simulation control unit 30 generates an image of an avatar wearing a desired fashion product selected by the user when a user selects a fashion product desired to be worn to which wearing simulation is applied among a plurality of fashion products, and displays the image on the screen. can be displayed on Here, the product wearing avatar may refer to an avatar in which a desired fashion product selected by the user is worn on the avatar created by the avatar generator 20 (a desired fashion product is put on). there is.

Here, as the desired fashion product to be worn on the generated avatar by the simulation control unit 30, the above-mentioned desired purchase clothing product (ie, the desired purchase clothing product selected and input by the user among a plurality of clothing products) is can be applied That is, the clothing product desired to be purchased described herein may mean the same as the fashion product desired to be worn. Therefore, even if the contents are omitted below, the description of the above-described clothing product desired to be purchased can be equally applied to the description of the fashion product desired to be worn.

The simulation control unit 30 may display the generated image of the avatar wearing the product, for example, on the screen provided in the apparatus 100 itself, and for another example, it may be displayed on the screen of the user terminal 1.

Fashion products herein may mean, for example, various fashion-related products sold and traded on an online shopping mall. Fashion products may include, for example, clothing, fashion miscellaneous goods, cosmetics, and the like. Clothing may include various clothes such as tops, bottoms, dresses, and underwear, and fashion miscellaneous goods may include accessories (accessories), shoes, handbags, wallets, belts, hats, and the like. This example is only one example to help the understanding of the present application, but is not limited thereto, and fashion products may include (considered) various articles, objects, etc. related to fashion, styling, appearance decoration, and the like. A fashion product herein may be otherwise referred to as a fashion item, a fashion product, and the like.

For example, prior to purchasing a specific fashion product among fashion products sold (transacted) on an online shopping mall, the user can determine whether the specific fashion product suits him/her well, how the fit is shown when he/she wears it, the width of the body, the length, etc. In order to check (simulate) whether or not there is a tightening part (tight part) when wearing the specific fashion product, the specific fashion product desired to be confirmed (simulated) may be selected as the fashion product desired to be worn.

That is, the user may select a fashion product, which is desired to be worn, for which a wearing simulation is performed on the avatar generated by the avatar generator 20, among fashion products sold on an online shopping mall.

For example, a first fashion product (eg top-short sleeve), a second fashion product (eg bottom-shorts), a third fashion product (eg bottom-skirt), etc. are sold as a plurality of fashion products on an online shopping mall. let's say it's happening In addition, when the user is interested in the first fashion product and wants to simulate the appearance of the first fashion product when the user actually wears it, the first fashion product is applied to the avatar generated by the avatar generator 20. To view the video, the user may select the first fashion product as a desired fashion product.

In this case, the simulation control unit 30 may synthesize the first fashion product, which is a fashion product desired to be worn, and the previously created avatar in response to a user's selection (selection input by the user) of a first fashion product among a plurality of fashion products. Through this, it is possible to generate an image of an avatar wearing a product in which the first fashion product is worn. In this case, the avatar wearing the product means an avatar in which the first fashion product is worn on the avatar created by the avatar generator 20, and may mean an avatar wearing the first fashion product.

The simulation control unit 30 may display the generated image of the avatar wearing the product on the screen. The user can virtually check how the first fashion product looks when he actually wears it through the product wearing avatar displayed on the screen.

Thereafter, the simulation control unit 30 may perform a simulation of changing the posture of the avatar wearing the product. At this time, the posture of the product-wearing avatar may be changed by, for example, the user's real-time posture change operation control, and may be automatically changed to a plurality of preset types of change postures as another example.

At this time, in the present application, changing the posture of the avatar wearing the product may mean a change in posture to a static state, but is not limited thereto, and is understood as a broad concept that includes all posture changes to a dynamic state. It may be desirable to

Illustratively, the basic posture of the avatar wearing the product may be a straight posture, and the changed posture may include a posture sitting on a chair of various heights, a posture squatting on the bare floor, a walking posture, a running posture, and the like, as well as a walking motion This may include jumping, running, sitting and standing up repeatedly.

The simulation control unit 30 displays an image of a posture change avatar reflecting a changed fashion product desired to be worn, in which a status change occurs as a result of changing the posture of the avatar wearing the product, in consideration of product attribute information of the fashion product desired to be worn selected by the user. can be created and displayed on the screen. That is, the simulation control unit 30 responds to a change in posture of the avatar wearing the product, reflecting a change in the state of the fashion product desired to be worn (for example, a change in clothes being stretched, tightened, or tightened). An image of an avatar whose posture is changed (posture change avatar) can be displayed on the screen in real time.

Here, the product attribute information of the fashion product desired to be worn may include information on at least one of size, material, elasticity, and see-through. For example, if the desired fashion product is a short-sleeved top, the size information may include not only size information such as S, M, and L, but also information such as total length, chest section, shoulder width, and sleeve length. , but is not limited thereto.

Product attribute information of a fashion product desired to be worn may be acquired through, for example, crawling (collecting) of information disclosed on a homepage of an online shopping mall where the fashion product desired to be worn is sold.

According to this, the simulation control unit 30 acquires product attribute information on the fashion product desired to be worn selected by the user through crawling when a user selects a fashion product desired to be worn from among a plurality of fashion products, and then obtains the obtained product. As the posture of the avatar wearing the product is changed in consideration of the attribute information, an image of the avatar changing the posture to which the fashion product desired to be worn is applied may be displayed on the screen in real time. That is, the posture change avatar displayed on the screen in real time according to the posture change of the avatar wearing the product means an avatar whose posture has been changed to which the changed state (shape, form, etc.) of the desired fashion product is applied (reflected) due to the posture change. can

The identification unit 40 may identify a region of a tightening portion in which a tightening intensity value equal to or greater than a preset tightening intensity value is displayed by the changed (status changed) fashion product desired to be worn on the posture change avatar displayed on the screen. Here, the tightening strength value is a value representing the tightening level (degree), and may be referred to as a tightness degree value or the like.

The simulation control unit 30 may display the region of the tightening area identified by the identification unit 40 on the image of the posture change avatar.

In one example of the present application, the simulation control unit 30 has illustrated that the region of the tightening part identified on the posture change avatar is displayed on the posture change avatar, but is not limited thereto. The identification unit 40 may identify the area of the tightening area on the avatar wearing the product, and accordingly, the simulation controller 30 may display the area of the tightening area identified on the avatar wearing the product on the avatar wearing the product.

The simulation control unit 30 may change the display form of the region of the tightening part displayed on the image of the posture change avatar according to the level (degree) of the tightening intensity equal to or higher than the preset tightening intensity value. At this time, the simulation control unit 30, among the regions of the tightening region identified on the posture change avatar by the identification unit 40, shows a relatively low level of tightening intensity in the region of the tightening region where the level of tightening intensity is high. It can be controlled so that it is displayed in a form that is more recognizable or identifiable in comparison with the tightening area.

In other words, the simulation controller 30 determines that the tightening part identified by the identification unit 40 includes the first tightening part and the second tightening part, and the tightening strength value of the first tightening part is the tightening strength of the second tightening part. If the value is greater than the value, the image of the posture change avatar (or on the avatar wearing the product) can be controlled to be displayed in a form that is easier to recognize or identify than the region of the second tightening region.

Here, displaying the area of the tightening area in a form that is easy to recognize or identify means that the display of the area of the tightening area is visually emphasized, expanded in size, accompanied by auditory effects, and dynamic animation. It may mean displaying at least one of them. This can be more easily understood with reference to FIG. 2 .

FIG. 2 is a diagram for explaining an example in which a region of a tightening area identified by the identification unit 40 in the coordinator recommendation device 100 according to an embodiment of the present invention is displayed on a screen.

2 , for example, as the identification unit 40 identifies the area of the tightening area on the product wearing avatar 5, the simulation control unit 30 identifies the area of the tightening area identified by the identification unit 40 as the product wearing avatar. An example of the case of displaying on the image of (5) is shown. However, it is not limited thereto, and as mentioned above, the simulation controller 30 may display the area of the tightening part on the posture change avatar identified by the identification unit 40 on the posture change avatar.

In describing the region identification and display of the tightening part in the description below, the description of the product-wearing avatar 5 can be equally applied to the description of the posture change avatar even though it is omitted below.

Referring to FIG. 2 , the simulation control unit 30 may display on the screen an image of an avatar 5 wearing a product selected by a user and worn by a desired fashion product. In this case, the wearing product avatar 5 may mean a state in which a desired fashion product selected by the user is worn on a three-dimensional avatar created in consideration of the user's physical characteristics.

For example, a plurality of fashion products desired to be worn (or clothing products desired to be purchased) selected by the user are, for example, a first fashion product 11 desired to be worn (top-naked), a second fashion product 12 desired to be worn (bottom-shorts), and socks. Assume that the third desired fashion product 13 is included. In this case, the simulation control unit 30 sets avatars (avatars created in the avatar generator) on which the first to third desired fashion products 11 to 3 desired to be worn are worn as product wearing avatars 5. It can be displayed as an image on the screen.

At this time, the identification unit 40 may identify a region of a tightening portion in which a tightening strength value equal to or greater than a predetermined tightening strength value is displayed by the desired fashion products 11, 12, and 13 worn on the product wearing avatar 5. there is. At this time, it is assumed that two parts, including the first tightening part 21 and the second tightening part 22, are identified as areas of the tightening part where the tightening strength value equal to or greater than the preset tightening strength value is displayed by the identification unit 40.

At this time, when the tightening strength value of the first tightening part 21 is higher than the tightening strength value of the second tightening part 22, the simulation controller 30 controls the first tightening part on the image of the avatar 5 wearing the product displayed on the screen. The area of one tightening part 21 may be displayed in a form that is easier to recognize or identify than the area of the second tightening part 22 .

For example, the simulation controller 30 may display the area of the first tightening part 21 in red and the area of the second tightening part 21 in yellow. Simulation control unit 30, for example, as the tightening strength value gradually decreases based on the largest value, red, orange, yellow, green wave, indigo, may be displayed in the order of color, such as purple. That is, the area with the highest tightening strength value may be displayed in red, and the area with the lowest tightening strength value may be displayed in purple.

As another example, the simulation controller 30 may make the display size of the area of the first tightening part 21 larger than the display size of the area of the second tightening part 21 and display the area. As another example, the simulation controller 30 may display the area of the first tightening part 21 in bold and the area of the second tightening part 21 without bold.

As another example, the simulation controller 30 may display the area of the first tightening part 21 in a flickering form, while displaying the area of the second tightening part 21 in a static form. In this way, the simulation control unit 30 displays the area of the first tightening part 21 in a blinking form (ie, blinking), so that the user can see that the area of the first tightening part 21 is the second tightening part ( 22), it can be provided so that you can intuitively recognize that it is a relatively more tightened area compared to the area of 22).

That is, when the simulation unit 190 displays the area of the tightening part on the posture change avatar or the product wearing avatar 5 (or on the image of the avatar), the area showing a relatively higher tightening strength value is tightened than that. By displaying in a form that is easy to recognize or identify in contrast to areas with low strength values, users can intuitively recognize (confirm) in advance the area (position) where tightening is expected when they purchase and actually wear the fashion product they wish to wear. can provide it.

The simulation unit 190 determines whether or not to purchase the desired fashion product (clothing product desired to be purchased) prior to the user actually purchasing the corresponding fashion product desired to be worn (clothing product desired to be purchased), and the fashion desired to be worn. The decision on whether to purchase a different size compared to the product, or whether to purchase a different type of fashion product different from the fashion product desired to be worn, is made more quickly and easily, and The probability of purchase failure can be reduced.

In addition, when the simulation controller 30 determines that the number of regions of the tightening region identified by the identification unit 40 is equal to or greater than the preset number, the simulation control unit 30 determines that the region of the tightening region equal to or greater than the preset number appears on the fashion product desired to be worn. Step Information of the same type of fashion product having a large size may be displayed on one area of the screen for recommendation as a recommended fashion product.

Here, the preset number may be, for example, three, but is not limited thereto, and the number may be variously changed and set (applied).

In the present application, an area of a screen on which information on similar fashion products is recommended may be referred to as a first area of the screen for convenience of description. In the first area of the screen, information on the same type of fashion product (including information on the same type of fashion product that is larger or smaller in size) based on the fashion product desired to be worn in which the area of the tightening part of the predetermined number or more is displayed. may be displayed, but is not limited thereto, and information of a different type of fashion product may be displayed. That is, the first area of the screen may refer to an area where recommended fashion products for recommendation to the user among various fashion products including information on the same type of fashion products are displayed.

In other words, in one example of the present application, information on a similar fashion product having a size one step larger than the desired fashion product is displayed as a recommended fashion product in the first area of the screen, but is not limited thereto, and the first area In relation to the fashion product desired to be worn, in which the number of regions of the tightening area is greater than or equal to the preset number, the same type but larger size desired to be worn (this is the same color, shape, pattern, etc. are all the same, but only the size Other fashion products of the same kind desired to be worn), the same kind of fashion products desired to be worn of the same kind but smaller in size, and different kinds of fashion products desired to be worn of a different kind (this means that at least one of the colors, shapes, and patterns or fashion products desired to be worn that are different in type) may be displayed as recommended fashion products.

For example, the posture change avatar (or product-wearing avatar) is wearing a plurality of fashion products desired to be worn, and the identification unit 40 determines the area of the fastening part in any one fashion product desired to be worn among the plurality of fashion products desired to be worn. Let's assume that it is identified that more than the set number has appeared. In this case, the simulation control unit 30 determines that the corresponding fashion product desired to be worn (ie, any one fashion product desired to be worn) in which the region of tightening parts equal to or greater than the preset number appears is small to the user (ie, the user wants to wear the corresponding fashion product). It is judged that the product may be smaller when actually purchased and worn), and information on a fashion product of the same kind having a dimension (size) one step (or more than two steps) larger than the fashion product desired to be worn is provided to the user as a recommended fashion product. To recommend, it can be displayed on one area (first area) of the screen.

At this time, the simulation control unit 30, when the region of the tightening part of the predetermined number or more is identified with respect to the fashion product desired to be worn (clothing product desired to purchase) (for example, when five tightening part regions are identified), the identification A fashion product that differs in size from a fashion product desired to be worn by several steps in consideration of at least one of the number of areas of the identified tightening area, the tightening strength value for each of the areas of the identified tightening area, and the location of the identified area of the tightening area. You can decide whether to recommend.

Exemplarily, when the fashion product desired to be worn is a size M and the number of regions of tightening parts identified in the fashion product desired to be worn is 8 or more, the simulation controller 30 sets a size two steps larger than that of the fashion product desired to be worn (XL size). ) may be displayed in the first area. When the fashion product desired to be worn is a size M and the number of regions of tightening parts identified in the fashion product desired to be worn is 3 or more and less than 8, the simulation control unit 30 sets a dimension one step (step 1) larger than that of the fashion product desired to be worn (step 1). That is, information on fashion products of the same type (size S) may be displayed in the first area.

The information on the fashion product of the same type displayed on the first area of the screen may be an image of the fashion product of the same type, but is not limited thereto and may include at least one of product attribute information of the fashion product of the same type.

In the above-described example of the present application, as the identification unit 40 identifies a region of a tightening portion in which a tightening strength value equal to or greater than a preset tightening strength value (which may be otherwise referred to as a preset tightening strength upper limit value) appears, the result Accordingly, a case in which the simulation control unit 30 recommends a larger fashion product of the same kind has been exemplified, but is not limited thereto. As another example, the identification unit 40 identifies the area of the tightening portion where the tightening strength value corresponding to less than the preset lower limit of the tightening strength appears, and according to the result, the simulation control unit 30 provides the desired wear fashion product to the user. If it is determined that it is too large, a fashion product of the same type smaller by one level (or two or more levels) smaller than the fashion product desired to be worn may be displayed on the first area of the screen as a recommended fashion product.

The simulation control unit 30 displays information (eg, an image) of the same type of fashion product having a size one step larger than the fashion product desired to be worn as a recommended fashion product in the first area of the screen, and then displays the displayed information of the same type of fashion product. When a user input is made for , in response to the user input, an image of a product-applied avatar wearing the same type of fashion product may be generated (regenerated) and displayed on the screen.

That is, when a user input for a recommended fashion product is made on the first area of the screen, the simulation controller 30 regenerates an image of a product-applied avatar wearing the recommended fashion product to which the user input was made in real time in response to the input, and displays the image on the screen. can be displayed

The simulation unit 190 shows in real time the appearance of the avatar wearing the fashion product selected by the user (the desired fashion product selected by the user and the recommended fashion product selected by the user) through the product wearing avatar. By displaying the location of the part that is too tight or too loose by the fashion product worn on the avatar modeling the user's body type, the avatar created considering the user's body characteristics is predicted when a specific fashion product is actually worn. You can get a realistic look.

In addition, the simulation unit 190 can change the posture of the avatar wearing the product and display in real time the region of the tightening area that appears whenever the posture is changed, so that the fashion product to be worn is not simply worn in the correct posture, but also dynamically moved to adjust the posture. Even when it is changed, the user can intuitively recognize the part where tightening is expected, so that the decision to buy the desired fashion product can be made more decisively, and the purchase of the fashion product in the online shopping mall can be unsuccessful. probability can be effectively reduced.

The evaluation unit 50 may perform styling evaluation on the avatar wearing the product in the image of the avatar wearing the product (or the image of the avatar changing posture) displayed on the screen by the simulation controller 30 .

The simulation controller 30 may determine whether or not to display recommended fashion product information on one area of the screen according to the result of the styling evaluation by the evaluator 50 . In this case, an area of the screen in which information on recommended fashion products is displayed based on the styling evaluation result may be referred to as a second area for convenience of description in the following description.

The evaluation unit 50 calculates evaluation scores for a plurality of evaluation items when styling evaluation is performed, and scores evaluation items whose evaluation scores do not satisfy a predetermined evaluation score among the plurality of evaluation items based on the calculated evaluation scores. It can be identified as an under-appraisal item. In particular, the evaluation unit 50 may calculate a styling evaluation score for the user avatar image, which will be described later, which may mean an evaluation score (total evaluation score) for a plurality of evaluation items in relation to the user avatar image. there is.

Thereafter, the simulation control unit 30 responds to the identification of the evaluation item with insufficient score, in order to substitute another fashion product for the fashion product desired to be worn related to the evaluation item with insufficient score among the fashion products worn on the wearing avatar of the product. Information on recommended fashion products may be displayed on one area (second area) of the screen.

Here, the plurality of evaluation items are the first evaluation item regarding the degree of matching between desired fashion products worn on the product wearing avatar and the degree of matching between the skin tone of the product wearing avatar and the desired fashion product worn on the product wearing avatar. A second evaluation item may be included. However, it is not limited to this, and a plurality of evaluation items include the degree of matching between the avatar and the fashion product worn by the avatar in relation to design (eg, pattern or pattern of a fashion product), color (color) combination, etc. , any item that evaluates the degree of matching between fashion products can be applied.

Exemplarily, according to the first evaluation item, when shoes and a top are worn as fashion products desired to be worn by the avatar wearing the product, whether the shoes and the top match each other may be evaluated (the degree to which they match each other is evaluated). In addition, according to the first evaluation item, for example, if a top-cotton tee and a bottom-skirt are worn on the avatar wearing the product, whether the top and bottom match each other can be evaluated.

In addition, according to the second evaluation item, for example, whether the avatar's skin tone (eg, facial skin color) and the color of the top, which is a desired fashion product, match each other may be evaluated. In addition, according to the second evaluation item, it may be evaluated whether the skin tone or face shape of the avatar matches the pattern pattern (eg, stripe pattern, check pattern, etc.) of the fashion product desired to be worn.

The evaluation unit 50 may calculate an evaluation score for the product wearing avatar (ie, evaluation scores for a plurality of evaluation items) when evaluating the styling of the product wearing avatar. At this time, the evaluation score for the product wearing avatar is a plurality of It may be calculated in consideration of evaluation scores evaluated by other users.

For example, the user wants to purchase fashion products (apparel products desired to purchase) worn on avatars (product wearing avatars, posture change avatars) (that is, clothing to purchase is displayed to the user). In order to evaluate overall styling for suitability) by other users (ie, to receive styling evaluation by other users), for example, an avatar generated by the simulation control unit 30 and displayed on the screen (product wearing avatar, posture change) An evaluation request signal for the image of the avatar) may be input to the simulation unit 190 . In the description that will be described later, the image of an avatar (product wearing avatar, posture change avatar) generated by the simulation controller 30 and displayed on the screen is an avatar image corresponding to a user for convenience of explanation, and will be referred to as a user avatar image.

At this time, the evaluation request signal is an avatar image generated by the simulation control unit 30 in response to a user input to the evaluation request button (ie, user avatar) when a user input is made to the evaluation request button provided in one area of the screen. video) on a social network service (Social Network Services/Sites, SNS).

When the user avatar image is uploaded on the SNS according to the evaluation request signal, users (ie, other users) of the SNS where the image was uploaded can perform styling evaluation related to a plurality of evaluation items for the user avatar image. can SNS users (i.e., other users) can provide (and set) evaluation scores in relation to a plurality of evaluation items for user avatar images, and the scores evaluated by other users are referred to as evaluation scores by other users. It can be.

The evaluation unit 50 considers at least one score (ie, at least one other evaluation score) evaluated by other users for the user avatar image, and the styling evaluation score related to the user avatar image (ie, the user avatar image and the evaluation score). In relation to this, a total evaluation score for a plurality of evaluation items) can be calculated. In this case, the styling evaluation score related to the user avatar image may be calculated as an average value of other evaluation scores evaluated for the user avatar image, but is not limited thereto.

The evaluation unit 50 may identify an evaluation item whose evaluation score does not satisfy a predetermined evaluation score among a plurality of evaluation items in the styling evaluation score related to the user avatar image as an evaluation item with an insufficient score. Here, as an example, it is assumed that an evaluation item with an insufficient score is identified as a second evaluation item.

In this case, the simulation controller 30 determines that the skin tone of the avatar wearing the product in the user avatar image and the fashion product worn by the avatar wearing the corresponding product do not match each other (ie, the fashion product the user wishes to purchase). It is determined that the user's skin tone does not match), and information on the recommended fashion product may be displayed on the second area of the screen in order to replace the fashion product desired to be worn related to the low-scoring evaluation item with another fashion product. In this case, the recommended fashion product displayed on the second area of the screen may be otherwise referred to as an alternative recommended fashion product for replacing the fashion product desired to be worn related to an evaluation item with an insufficient score.

In addition, the evaluation unit 50 calculates a styling evaluation score related to the user avatar image (ie, a total evaluation score related to a plurality of evaluation items related to the user avatar image), in addition to using the evaluation score of others, another example A styling evaluation score can be calculated using the deep learning model learned with . Since examples of types of deep learning models have been described above, duplicate descriptions will be omitted.

The deep learning model is, for example, a trained neural network model that learns a plurality of users' body characteristic information (face shape, skin tone, size, etc.) as an input and fashion products matching each of the plurality of users' body characteristic information as an output value can mean

The simulation control unit 30 may provide (display) an image of alternative recommended fashion products, a list of alternative recommended fashion products, etc. as recommended fashion product information (information on alternative recommended fashion products) displayed in the second area.

At this time, in the list included in the recommended fashion products (recommended alternative fashion products) displayed in the second area of the screen, the fashion products of the same kind that differ only in color from the fashion products desired to be worn related to the evaluation items with insufficient scores and the wearing related to the evaluation items with insufficient scores Other heterogeneous fashion products with similar performance (shape, material, elasticity, degree of transparency, etc.) to the desired fashion product may be included. In this case, other types of fashion products may include fashion products with better reviews (evaluation), lower prices, or higher quality compared to the fashion products desired to be worn related to the evaluation items that do not have a score.

According to this, the simulation unit 190 evaluates the fashion product as unsuitable for the user by the evaluation unit 50 among the fashion products that the user desires to purchase (fashion products desired to wear) (that is, the user desires to wear the item related to the low-scoring evaluation item). In providing information (for example, a list) of alternative recommended fashion products (recommended alternative fashion products) to substitute for fashion products), not only fashion products of the same kind that are different only in color from the fashion products desired to be worn related to the evaluation item with insufficient scores, but also those of the same kind It is possible to provide (recommend) fashion products that are different from fashion products but have good performance and good cost-effectiveness by being included in the list of alternative recommended fashion products. The simulation unit 190 allows the user to reasonably compare/select a product when substituting (replacing) a desired fashion product related to an evaluation item with insufficient score, and to perform replacement/management more easily and efficiently. can support

In addition, the simulation controller 30 may display a purchase button for purchasing a desired fashion product included in the image of the avatar wearing the product on one area of the screen. In this case, in the description to be described later, one area of the screen where the purchase button is made may be referred to as a third area of the screen.

The simulation controller 30 may transmit a purchase request signal for purchasing a desired fashion product worn on the product wearing avatar displayed on the screen when a user input is made to the purchase button displayed on the third area of the screen.

Here, the purchase request signal is a signal that is linked to an online shopping mall that sells fashion products desired to be worn and provides for automatic payment for fashion products desired to be worn (or automatic delivery due to automatic payment) and/or fashion desired to be worn It may be a signal providing a message notification on the screen of the user terminal 1 associated with the device 100 to encourage ordering of products.

The simulation unit 190 transmits a purchase request signal in response to a user input to a purchase button so that the user can simultaneously and collectively purchase fashion products desired to purchase after viewing a wearing simulation of the desired fashion products. Therefore, it is possible to improve a user's purchasing convenience for fashion products.

In addition, the simulation control unit 30 may control the operation of the front display device 3 linked with the device 100 . When it is determined that the user input to the sensory data providing button displayed on one area (for example, the fourth area) of the screen has been made, the simulation control unit 30 responds to the user input to the sensory data providing button to select a fashion product desired to be worn. The operation of the front display device 3 may be controlled so that the fashion product sensory data corresponding to the fashion product desired to be worn considering the product attribute information is provided to the front of the front display device 3 .

Here, the fashion product feeling data refers to the fashion product desired to be worn (apparel product desired to be purchased) in consideration of product attribute information (for example, size, material, elasticity, degree of transparency, etc.) It may mean data implemented as an image (ie, 3D stereoscopic image data). That is, the fashion product feeling data may mean 3D stereoscopic image data of a fashion product desired to be worn implemented in a size corresponding to the real (actual) size of the fashion product desired to be worn (apparel product desired to be purchased). In other words, the fashion product feeling data may mean a three-dimensional fashion product (three-dimensional fashion product) corresponding to a fashion product desired to be worn, which is seen through a beam irradiated upward by the front display device 3. .

Exemplarily, it is assumed that information about the total length, chest section, shoulder width, and sleeve length of the fashion product desired to be worn is acquired through crawling as product attribute information. At this time, when a user input is made to provide sensory data for the fashion product for the fashion product desired to be worn (ie, if a user input is made to the sensory data providing button), the simulation control unit 30 operates the front display device 3 It is possible to control the operation of the front display device 3 so as to provide sensory data for fashion products to the front through. At this time, the provided fashion product feeling data is data obtained by visualizing the fashion product desired to be worn in a three-dimensional image according to the corresponding dimensions based on information on the total length, chest section, shoulder width, and sleeve length of the fashion product desired to be worn. can

The simulation controller 30 may interlock (connect) with the front display device 3 through the aforementioned network 2 to control the operation of the front display device 3 . The Head Up Display (HUD) 3 can provide real-world data of fashion products to the front of the front display device 3 (or to the front air, or to the front sky) through beam irradiation. there is.

Under the control of the simulation control unit 30 , the front display device 3 may provide sensory data for fashion products to the front side of the front display device 3 . The front display device 3 can focus on the front of the front display device 3 through a beam, and from this, a video (image) corresponding to the sensory data of the fashion product is displayed at a position corresponding to the focus. can be displayed.

In other words, when a user input is made to the sensory data providing button, the front display device 3 scatters an image in front of the front display device 3 through a beam in response to the control of the simulation control unit 30, thereby providing a fashion product. Sensory data may be provided on the sky in front of the front display device 3 .

3 is a diagram showing an example of fashion product sensory data provided by the front display device 3 in the coordination recommendation device 100 according to an embodiment of the present invention.

Referring to FIG. 3 , the simulation controller 30 displays sensory data for a fashion product corresponding to a fashion product desired to be worn (apparel products desired to purchase) related to the sensory data providing button in response to a user input to the sensory data providing button. The operation of the front display device 3 can be controlled so as to be provided above the front of the device 3 .

In general, on online shopping malls where fashion products are sold and traded, information indicating the size of fashion products (for example, total length, chest section, shoulder width, sleeve length, etc.) is simply displayed as numerical values (few cm, mm, etc.) are indicated only. Therefore, when a user actually receives a fashion product sold on an online shopping mall, it is difficult to easily estimate (determine) the size of the fashion product.

In other words, since the user could only estimate the size of the fashion product based on the numerical value displayed on the online shopping mall in the prior art, when the user actually received the actual fashion product, the actual size of the fashion product was higher than the size of the fashion product he or she expected. There were frequent cases in which the size of the fashion product was larger or smaller, and in this case, the user has to exchange or refund for a fashion product of a different size, which is inconvenient.

Accordingly, the simulation unit 190 may provide the user with sensory data for a fashion product, which is a three-dimensional stereoscopic image having a size corresponding to the actual size of the fashion product desired to be worn (clothing product desired to be purchased) through the front display device 3. there is. The simulation unit 190 receives fashion product experience data prior to purchase/payment of fashion products (fashion products desired to be worn, apparel products desired to be purchased) that the user desires to purchase, so that the fashion products (wearing fashion products desired to be purchased) are provided. It is possible to intuitively recognize the actual size (actual size) of desired fashion products and desired purchase apparel products) and provide them so that users can experience them.

In particular, the simulation controller 30 may control the movement of the front display device 3 so that the fashion product sensory data provided through the front display device 3 is projected onto the user's body. To this end, although not shown in the drawings, the present system 1000 may include an image sensor (not shown) and a movement control member (not shown) connected to the simulation unit 190 through a network.

Here, the image sensor (not shown) may refer to a sensor that acquires a user's body image, which is a projection target of sensory data for fashion products. An image sensor (not shown) may be differently expressed as a camera, an image capturing sensor, and the like. The image sensor (not shown) may be, for example, at least one of an image sensor provided in the user terminal 1, an image sensor provided in the front display device 3, and an image sensor provided in the simulation unit 190 itself. It is not.

A movement control member (not shown) is coupled to the front display device 3 and can control movement of the front display device 3 with respect to left/right/up/down/front/back. A movement control member (not shown) may control the movement and angle of the front display device 3 . That is, the movement control member (not shown) can control not only the position but also the angle of the front display device 3 providing sensory data for fashion products.

As an example, the simulation control unit 30 may analyze a user's body image obtained through an image sensor (not shown) (eg, a user to whom fashion product sensory data is projected). Head, neck, arm, wrist, upper body, lower body, ankle, foot, etc.) can be identified. In addition, the simulation control unit 30 may identify a classification type (eg, top, bottom, accessory such as a bracelet, hat, etc.) of the fashion product desired to be worn corresponding to the fashion product sensory data.

Thereafter, the simulation controller 30 determines the fashion product feeling data corresponding to the fashion product desired to be worn on the corresponding part of the user's body, based on the identified classification type of the fashion product desired to be worn and the identified part of the user. It is possible to move the front display device 3 by controlling the operation of a movement control site (not shown) so as to be projected onto the screen.

Exemplarily, when the classification type of the fashion product desired to be worn is an upper garment, the simulation control unit 30 determines that fashion product sensory data corresponding to the fashion product desired to be worn is identified among parts of the user identified through image analysis. Moving the front display device 3 through motion control of a movement control member (not shown) so as to be projected on the upper body, which is a body part corresponding to the classification type of the product (ie, the upper body, which is a body part corresponding to the top) control can be performed. That is, the simulation control unit 30 may move the front display device 3 so that the fashion product sensation data corresponding to the desired fashion product (top) to be worn is overlapped and projected on the upper body of the user's body part. For the movement of the device 3, the operation of a movement control member (not shown) may be controlled.

The present device 100 can effectively reduce the probability of purchase failure for a fashion product desired to be worn by providing sensory data of the fashion product through the simulation unit 190 .

The device 100 may refer to a device for recommending coordinators (or a device for recommending clothing). However, according to the simulation unit 190, the apparatus 100 may be a device capable of simulating fashion styling, and thus may be referred to as a fashion styling simulation device.

As described above, the device 100 may be implemented in the form of an application installed on the user terminal 1 . The device 100 may be expressed as a personalized fashion platform application that respects the diversity of individuals by means of the simulation unit 190 .

The simulation unit 190 may generate avatars of various body types resembling the user as avatars in consideration of the user's body characteristic information through the avatar creation unit 20, and simulate desired coordination on the generated avatars. According to the simulation unit 190, the device 100 may perform style presentation for each theme in consideration of the user's size. According to the simulation unit 190, the device 100 can subscribe to and receive various fashion-related news through, for example, SNS.

According to the simulation unit 190, the device 100 can, for example, move to an associated shopping mall site (Internet shopping mall site) through icons displayed by category, and provide fashion products sold on the moved shopping mall site to be purchased. can do. In addition, the simulation unit 190 may transmit a purchase request signal for purchase of fashion products desired to be worn included in the image of the avatar wearing the product in response to a user input for the purchase button, and through this, the fashion products desired to be worn It can be provided so that purchases can be made more easily and conveniently.

The simulation unit 190 may record a daily look by applying fashion products such as clothes worn today to the avatar. To this end, although not shown in the drawing, the simulation unit 190 records a first storage unit (not shown) for obtaining and storing information on the collection fashion products owned by the user (information on the collection fashion products) and daily look (storage) may include a second storage unit (not shown).

Here, the first storage unit (not shown) may, for example, have the same configuration as the owned clothing storage unit 180 described above. Therefore, even if the content is omitted below, the description of the owned clothes storage unit 180 can be equally applied to the description of the first storage unit (not shown).

Exemplarily, the user selects a collectible fashion product corresponding to a fashion product actually worn by the user to go out as an example among the collected fashion products stored in the first storage unit (not shown) (here, the selected collected fashion product includes one example). After wearing the avatar created by the avatar creation unit 20 by using the above-described selected clothing to be worn as above), a second storage unit (not shown) sets the wearing avatar of the product worn by the collection fashion product as a daily look can be recorded (stored) in

As such, the second storage unit (not shown) may store daily look information recorded by the user when going out. In addition, as described above, the second storage unit (not shown) may store an image of an avatar wearing a product (or an image of a posture change avatar) to be evaluated for styling.

The apparatus 100 may have the following functions by means of the simulation unit 190.

The device 100 uploads daily look information stored in the second storage unit (not shown) and/or image information of an avatar wearing a product that is a subject of styling evaluation in connection with SNS, for example, and uploads other information about the uploaded information. It can be rated by users.

In addition, the apparatus 100, for example, when a user input is made to the 'My Wardrobe' icon menu displayed on one area (for example, the fifth area) of the screen, the user wants to purchase or purchase fashion products at a glance. can be collected and displayed on the screen for viewing.

In addition, the apparatus 100 retrieves information about the obtained fashion product, for example, based on the acquisition of a QR code related to the fashion product and/or the acquisition of the fashion product image photographed by the user terminal 1. can be performed.

In addition, the apparatus 100 may provide, for example, an actual size to be applied to the user's body in the case of accessories as an AR model. The apparatus 100 provides a 3D stereoscopic image having a size corresponding to the actual size of a fashion product that a user desires to purchase among fashion products sold on an online shopping mall (ie, provides sensory data for the fashion product). By doing so, it is possible to provide a more realistic wearing simulation for the fashion product the user desires to purchase (the fashion product desired to be worn) so that the user can experience it.

Since the device 100 can diversify the user's body shape, face shape, size, etc. according to individual characteristics by means of the avatar generated by the avatar generator 20 through the simulation unit 190, existing avatars It can provide a difference from the app.

The device 100 can supplement the limitations of online shopping malls that cannot actually fit, and provide technology that can assist in coordinating fashion products and purchasing clothes. The apparatus 100 may provide various types of fashion products including clothes, accessories, makeup elements, and the like to be coordinated on the avatar created by the avatar generator 20 . In addition, the device 100 may provide items (fashion products) of various themes to be regularly updated so that new products (new fashion products) are not omitted.

In addition, the device 100 may be implemented to have an SNS function by itself as an app. This device 100 may provide, for example, a function that allows other people (other users) on SNS to store or recommend my coordination (coordination information uploaded and shared by the user on SNS). In this case, the device 100 may provide points to other users when other users store or recommend my coordination. Conversely, when a user stores or recommends another user's coordination, the user may receive points from the device 100 . At this time, the points provided by the device 100 may be provided to enable purchase of fashion products sold / traded on SNS or online shopping malls, for example, but are not limited thereto, and other compensation (for example, It can be prepared so that it can be used in exchange for real money, etc.).

In addition, when a new user (new user) is added through application sharing, for example, the device 100 may provide points to the user (user) who shared the application. In addition, the device 100 may provide points to a user (user) who purchases clothes even when clothes are purchased through an app of the device 100 . In addition, the device 100 may provide points as a reward to a user who has held an event and/or publicity for a specific fashion product.

In addition, the device 100 may collect points provided by the user so that the points can be used to receive a discount when purchasing actual fashion products or to enable the purchase of actual fashion products.

The apparatus 100 enables a buyer (a user who wishes to purchase a fashion product) to simulate wearing a product (a fashion product desired to be worn) shopping on an online shopping mall, thereby effectively alleviating the consumer's purchase failure burden. . In addition, the device 100 can provide a simple purchase by moving directly to a desired site because online shopping malls are concentrated at once. This device 100 can relieve the consumer's (buyer's) inconvenience in purchasing fashion products and provide more convenience (convenience).

The device 100 simulates a fashion product being worn (pre-wearing) before a user (buyer) purchases a fashion product sold in an online shopping mall, so that the wearing fit of the fashion product can be more intuitively checked. can provide

The device 100 may assist users (buyers, consumers) to purchase fashion products that they wish to purchase more smoothly. In addition, the apparatus 100 may help the simulation unit 190 reduce the failure rate of purchasing fashion products (reducing the failure rate) and help the user to shop.

The device 100 enables the simulation unit 190 to make customized recommendations for fashion coordinating styles customized to the user, and to provide a more realistic product wearing simulation function.

From the point of view of business needs, the device 100 can provide a smooth shopping service by increasing sales of shopping malls by selling more clothes. In addition, from the viewpoint of user needs, the apparatus 100 can help users to purchase clothes that best suit them at a low price.

The device 100 can solve the conventional problem of exchange/refund because fashion products sold on online shopping malls do not fit in size when actually worn by the user, unlike photos.

When the desired fashion product selected by the user from among a plurality of fashion products is cosmetics (eg, nail polish, BB cream, sunscreen, etc.), the device 100 displays an avatar image generated through the avatar generator 20. It is possible to perform a wearing simulation (product wearing simulation) in which makeup (make-up) or nail art using the corresponding cosmetics is applied.

In addition, the device 100, for example, collects and displays recommended fashion products for each season pursued by the brand on one screen, or collects and displays fashion products corresponding to the top sales rate in each shopping mall on one screen. can

In addition, the device 100 may provide a recommended coordinating book category function, a function of confirming app users' fashion coordination, a communication function, a function of viewing similar fashion designs at a glance, and a function of comparing price ranges of similar fashion products. In addition, the device 100 may provide a function of recommending coordination according to the taste of an application user and a function of sharing fashion coordination with users or friends.

At this time, recommending/sharing a coordinator in the present application means uploading a video (appearance) of a product wearing avatar (or posture change avatar) worn on a desired fashion product by applying a wearing simulation on SNS as an example. It may mean an action such as recommending or sharing.

The device 100 includes a fashion styling coordination recommendation function, a function of adjusting the price range of clothes, a fashion style coordination simulation function, a communication function with other users (communication function between users, a style sharing function), and a similar style of clothing coordination at once. A function to check, a function to receive a discount when purchasing a fashion product through points, an image search function (comparative analysis function of similar fashion products), etc. can be provided.

In addition, in the present device 100, the avatar generator 20 may create an avatar in consideration of individual body characteristic information (for example, body shape).

The present device 100, through a wearing simulation (product wearing simulation) by the simulation unit 190, the wearing fit of the fashion product seen through the avatar (avatar wearing fit) and when the actual user purchases and wears the corresponding fashion product It can be provided so that the wearing fit (actually worn fit, actual coordinated appearance) of the user can be provided to look quite similar, and through this, the probability of failure to purchase a fashion product on an online shopping mall can be effectively reduced.

In addition, the device 100 may provide the application itself to have the SNS function through linkage with the SNS.

The device 100 confirms the wearing fit of the fashion products co-ordinated by the user (ie, the fashion products desired to be worn on the avatar created by the avatar creation unit) and simultaneously purchases the corresponding fashion products in bulk can be provided to do so. Through this, the device 100 can improve purchasing convenience for fashion products.

In addition, the device 100 may recommend a fashion product similar to or similar to the style (fashion product style) that the user has coordinated through the provision of recommended fashion products, through which fashion product purchase/comparison, etc. It can be provided to make this happen smoothly. The device 100 may provide the user with a satisfactory shopping purchase of fashion products, and may reduce the probability of failure.

Conventionally, users had to compare fashion products provided by each online shopping mall in terms of price/performance, etc., and even if they wanted to find and purchase a fashionable outfit, there were cases where the price was expensive and it was burdensome. There was a problem (inconvenience) such as failure. On the other hand, by providing recommended fashion products, the device 100 allows the user to more effectively perform comparison among fashion products, and to effectively search for and receive the optimized fashion products desired by the user, such as fashion products at an appropriate price. there is.

For example, the device 100 may provide information on new news related to fashion products uploaded by other users to an application or SNS, news on coordinating recommendations, recommended users, and the like on the screen. In addition, the device 100 may, for example, classify and provide a plurality of fashion products by category (for example, tops and bottoms, accessories, shoes, etc.), and provide fashion products classified by each category as corresponding fashion products. It can be provided in conjunction with the information of the online shopping mall that sells.

A plurality of fashion products may be displayed on the screen of the device 100 . In this case, the plurality of fashion products may refer to fashion products sold/transacted on an online shopping mall. For example, the apparatus 100 may display a search window for searching fashion products on one area of the screen. A user may input a keyword for searching for a desired fashion product in a search window displayed on the screen, and the apparatus 100 displays a fashion product (matching fashion product) matching the input keyword among a plurality of fashion products on the screen. can be displayed Then, when a selection is made for any one of the matching fashion products, the simulation control unit 30 displays the matching fashion product selected by the user on the avatar (this means an avatar created by the avatar generating unit) displayed on one area of the screen. An image of a product-wearing avatar (that is, an avatar for which a wearing simulation of a matching fashion product selected for the generated avatar is simulated) may be displayed on the screen.

Through this, the device 100 allows the avatar wearing the product displayed on the screen to visually check the coordinated appearance (wearing fit of the matching fashion product) on the avatar modeled in a form similar to the body shape of the matching fashion product. can be provided to do so. In addition, the present device 100, when a user inputs a purchase button in hopes of purchasing such a matching fashion product, is moved to an online shopping mall that sells the corresponding matching fashion product (ie, a matching fashion product that sells matching fashion products). A screen of an online shopping mall may be controlled to be displayed) or a purchase request signal enabling purchase of a corresponding matching fashion product may be transmitted.

In addition, when a keyword for searching for fashion products is input in the search window, the device 100 may control the screen display so that search terms related to the keyword are displayed together.

The device 100 has a function to check my character on the home screen, a function to save after creating a character, a function to check a saved complete character, a function to move to the avatar list when an avatar is pressed on the home screen, and an avatar from the saved avatar list A function to select and delete, a function to move to the ranking list screen of shopping malls by selecting the icon on the home screen, a function to display the shopping malls that you have requested at a glance by pressing the Favorites button, a function to select and delete shopping malls that you have requested , The function to check the items (fashion products) that you have requested from the shopping mall you wished for on one screen, and the function that allows you to check only the products of that shopping mall among the fashion products in the shopping cart by pressing the shopping cart button in the shopping mall that you have wished for. can do.

In addition, the present device 100 has a function of performing a fashion product search by taking a picture of a fashion product with a camera and then cutting the photographed image, a function of providing a search result for related fashion products similar to the photographed image, and a function of providing search results for fashion products similar to the photographed image, detailed information from a banner during shopping. A function that allows you to shop more quickly by setting shopping conditions more conveniently, a function that allows you to check the information of the desired fashion product in the shopping mall at a glance, and wears through wearing simulation (wearing product simulation) to wear the desired fashion product on your stored avatar. It may include a function to check fit, a function to check delivery/inquiry history, a function to check frequently asked questions, a login screen function, and the like. However, the various functions included in the device 100 described above are just one example to help the understanding of the present application, and are not limited thereto.

In other words, the device 100 creates avatars of various body types that resemble oneself to enable desired coordination in order to supplement the limitations of online shopping malls that cannot actually fit and help purchase fashion products including coordination and clothes. It provides about the technology to do.

The device 100 enables a buyer to simulate wearing a product purchased by a buyer in an online shopping mall, thereby relieving the consumer of the burden of purchase failure and enabling a simple purchase, and simulating the wearing appearance before purchasing the product to determine the fit. Can be provided for verification.

The device 100 enables movement and purchase to a linked shopping mall site through icons displayed by category, applies clothes to be worn today to an avatar to record a daily look, and searches QR codes and images related to fashion products (products) This is possible, and in the case of accessories, the actual size to be applied to the body can be helped by the AR model.

The present apparatus 100 performs a simulation of changing the posture of the avatar, such as making the avatar sit on a chair or raise an arm, after putting fashion products such as clothing on the avatar created in consideration of the user's actual body shape (after wearing it). can do. At this time, the device 100 may display the position of the part where tightness, tightening, etc. occur (the position on the avatar) on the screen through simulation. For example, the apparatus 100 may display the position of a part where the tightening occurs as the posture of the avatar is changed in shoes or clothing worn by the avatar.

In addition, the apparatus 100 may additionally provide information predicting the intensity of tightening that the user will feel (strength of tightness) together with the predicted information.

In addition, the apparatus 100 provides a wearing simulation of a fashion product according to a posture change for the avatar, so that, for example, when the avatar changes the posture to sit in a chair, the avatar assumes the posture of sitting in the chair. It is possible for the user to visually confirm an expected appearance in which the hem of the pants worn rises upward or an expected appearance in which the thigh portion of the pants is tightened.

In addition, when wearing a fashion product for an avatar or changing a posture, when several tightening parts (several areas) are identified, the display color of the tightening part displayed on the screen is different according to the tightening strength. can do. In addition, for example, if the number of tightening parts is equal to or greater than a predetermined number, the device 100 may display a fashion product having a larger size than the corresponding fashion product worn on the avatar on one area of the screen to recommend as a recommended fashion product. . At this time, when a user selection input is made for any one recommended fashion product among the recommended fashion products, the present device 100 displays (wears) the selected one recommended fashion product on the avatar in real time (recommended fashion product). Wearing shot) can be displayed on the screen and provided.

In addition, the present device 100 may include a function of being evaluated by a plurality of other users for the fashion co-ordinated by the user based on the avatar created in consideration of the user's skin tone, etc. through linkage with SNS. can

In addition, the device 100 may provide personalized coordination recommendation information for each temperature. The apparatus 100 may provide customized coordination recommendation information to the user despite a large diurnal temperature difference and an unpredictable temperature change. While the conventional clothing recommendation technology uses a plurality of average pieces of information, the device 100 may provide user-customized coordination recommendation information in consideration of the different degrees of cold/heat felt by individuals.

The device 100 may provide personalized coordination recommendation information rather than a plurality of averages. The device 100 can guide real-time temperature changes at regular intervals. It provides information on the degree of coldness/heatness of specific clothes according to real-time temperature changes, and recommends information on coordination using the clothes that the user currently owns. In addition, the device 100 obtains (acquires) clothing information from other users who feel similar in degree of cold/heat to itself through the community, and generates coordination recommendation information using the obtained clothing information of other users. can provide The device 100 can acquire information without directly accessing an app through a widget function.

The apparatus 100 may input information about owned clothes through camera recognition, and for example, when the camera cannot be used, the information may be input by direct typing.

For example, the device 100 may first provide average coordination recommendation information, and if information on clothing owned by the user is obtained and stored, personalized coordination recommendation based on previously stored information on clothing owned by the user. Information can be created and provided.

For example, the device 100 continually asks questions about cold/heat (ie, an input request message for inputting sensory temperature information) before sufficient data is accumulated, thereby providing customized coordination recommendation information to the user. accuracy can be improved.

In addition, the present device 100 may assign an anonymous number (identification number) to prevent fighting with an anonymous person in a community made only of anonymity. In addition, the device 100 may provide a link to a shopping mall so that necessary clothes can be purchased more quickly when they are available.

Conventionally, in relation to clothing recommendation technology, there are many unknowns and related postings on clothes suitable for each temperature posted on the Internet, and many people are looking for clothes suitable for the temperature in YouTube videos. However, in the case of these clothing recommendation technologies, since the person in question often does not own the recommended clothing, it is difficult to actually utilize the recommended coordination information.

Accordingly, the present device 100 intends to provide coordinating recommendation information by utilizing the clothing (owned clothing) owned by the individual. The device 100 may provide personalized coordination recommendation information focused on individuals rather than a plurality of averages. The present device 100 may provide a function of communicating with users similar to the user, and through this, subjective information other than objective information may be obtained (acquired), and more customized coordination recommendation information may be provided by considering them comprehensively. . In addition, the apparatus 100 can receive coordination recommendation information anytime, anywhere, for example, in a situation (environment) in which GPS and data reception is possible.

Conventional clothing recommendation technologies recommend recommendations based on the manufacturer's own standards or average clothing (coordinate recommendation information) according to temperature. On the other hand, since the device 100 provides clothing recommendation information (coordination recommendation information) based on individual app users rather than manufacturer standards or averages, users' utilization rate can be increased.

The present device 100 may acquire information on owned clothing only through camera recognition or a photo. In addition, for example, the device 100 may provide common coordination recommendation information that can be worn by men and women as well as men and women. The device 100 may provide a widget function that can be viewed on the desktop of the user terminal 1 . The device 100 may provide information on how the user feels about the selected clothes at night by providing a temperature difference between night and day. In addition, the device 100 can be linked with a shopping mall, and can provide detailed clothing recommendations and clothing information. In addition, the present device 100 may set a specific situation related to sensing temperature (feeling temperature information), and may provide a pop-up notification function, a voice function, and the like.

The device 100 may generate coordinator recommendation information based on current weather. The device 100 may provide detailed information (for example, material, thickness, etc. of clothing) of the coordinating recommendation information. The apparatus 100 may generate coordination recommendation information based on weather for each time period, or may generate coordination recommendation information based on weekly weather and clothing selected by the user.

The apparatus 100 may provide average coordination recommendation information (clothing recommendation information) in consideration of temperature. In addition, the apparatus 100 may generate and provide recommendation information for each time zone, and also generate and provide recommendation information for coordination on a daily basis (weekly information) basis.

When a user inputs an input request message for inputting sensible temperature information, the device 100 relates to information obtained in response to the time when the user input is made, such as weather information (weather forecast information), fine dust information, and location. Information, temperature difference information, etc. may be obtained, but is not limited thereto.

For example, the device 100 may display an input request message for input of sensible temperature information in a pop-up format on the screen. This input request message may refer to a message requesting a user input for an inquiry asking whether the user is currently cold or hot. Based on the user's input for the input request message, the apparatus 100 may obtain information (feeling temperature information) on whether the user is currently cold or hot.

In addition, the present device 100 can reduce the failure rate of fashion product purchases by buyers when purchasing fashion products (fashion products) sold on online shopping malls through the simulation unit 190 and provide effective fashion product purchases. there is. In addition, the present device 100 causes the simulation unit 190 to purchase a product (product) on an online shopping mall and actually receive it, and the feeling/size of the product on the shopping mall is different from the feeling/size of the actual product. Accordingly, it is possible to solve the problem of not being satisfied with product purchases and frequent exchanges/refunds.

In the present device 100, the simulation unit 190 determines the desired clothing product (fashion product desired to be worn) by wearing the desired clothing product (fashion product desired to be worn) on the avatar created in consideration of the user's body characteristic information. Wear simulation can be performed.

In this case, the determination unit 135 may determine whether or not the wearer is suitable based on information related to the tightening part obtained through the execution of the wearing simulation.

At this time, the determination unit 135 determines that the number of tightening regions identified by the above-described identification unit 40 is greater than or equal to a preset number (eg, 3 or more) on the avatar on which the desired clothing product to be purchased is worn. (i.e., as a result of performing the wearing simulation, there are three or more tightened parts), the suitability of the apparel product desired to be purchased is judged to be unsuitable (i.e., the apparel product the user wishes to purchase is not suitable for wearing). condition) can be determined.

Thereafter, when it is determined that the clothing product desired to purchase is unsuitable for wearing, the controller 130 may display information on recommended alternative clothing products to replace the clothing product desired to purchase on one area of the screen. At this time, the alternative recommended clothing product may be, for example, a clothing product that satisfies the second condition as a wear suitability condition, that is, a clothing product in which the number of regions of the tightening area is less than a predetermined number (eg, 3).

That is, the controller 130 determines that the desired-to-purchase clothing product is too small for the user to wear, and purchases the desired-to-purchase clothing product when the number of regions of the principal part is greater than or equal to a predetermined number (for example, 3) in relation to the desired-to-purchase clothing product. It may be determined that the desired clothing product is unsuitable for wearing. In this case, the controller 130 transmits information on an alternative recommended apparel product that satisfies the wear suitability condition of the second condition, for example, an apparel product having the same type as the apparel product desired to purchase but having a size one size larger than that of the apparel product desired to be purchased, in one area of the screen. can be displayed on

The device 100 performs a wearing simulation through the simulation unit 190 to determine the wearing fit (that is, the clothing product desired to purchase) for the clothing product desired to purchase (fashion product desired to be worn) that the user desires to purchase. It can be provided so that a wearing fit predicted when actually worn) can be confirmed in advance, and also it can be provided so that a fit comparison with other clothing products can be performed. Through this, the apparatus 100 can minimize the probability of purchase failure when purchasing apparel products (fashion products) sold/transacted on online shopping malls and help users effectively purchase apparel products having a desired fit.

In addition, in the above-described example of the present application, it is exemplified that styling evaluation in the evaluation unit 50 is performed based on user avatar images uploaded on SNS by SNS users (other users). That is, in the above-described example of the present application, only the user avatar image, which is a virtual image uploaded to the SNS, is viewed (ie, the state of the user avatar in the image is reported), and the image is based on the SNS (or online, community space) Above), it was exemplified that styling evaluation was made.

However, it is not limited thereto, and as another example, the styling evaluation in the device 100 includes not only styling evaluation on SNS (ie, image-based styling evaluation), but also other users offline coordination of the user. Styling evaluation (ie, styling evaluation based on actual coordinating) made by actually seeing can be considered.

To this end, the receiving unit 110 may further receive a user coordination evaluation request signal requesting an evaluation of a coordinator based on clothes actually worn by the user.

In this case, when the receiving unit 110 detects that the user coordination evaluation request signal has been received, the controller 130 requests user coordination evaluation on the screens of at least some terminals among terminals of other users who have allowed reception of the coordination evaluation request message. A coordination evaluation request message corresponding to the signal may be controlled to be displayed.

Here, at least some of the terminals may refer to terminals of other users located within a preset area from the location of the user among terminals of other users. In this case, the area preset from the location of the user may mean an area in which short-range communication with the user terminal 1 is possible. In this case, the short-range communication may include, for example, Near Field Communication (NFC) communication, Bluetooth communication, and beacon communication, but is not limited thereto.

According to this, when the user coordination evaluation request signal is received, the control unit 130, among other users who have allowed reception of the coordination evaluation request message provided from the device 100, particularly an area where short-range communication is possible with the user terminal 1 A coordination evaluation request message may be provided to terminals of other users located within (ie, terminals of other users located within a predetermined area from the location of the user terminal).

At this time, the control unit 130 may display, for example, an item called 'Request for evaluation of coordination' on one area of the screen, and when a user input is made for the item 'Request for evaluation of coordination', the receiving unit 110 receives the user's input. In response to the input, it may be recognized that a user coordination evaluation request signal has been received.

As an example, assume that the user who owns the user terminal 1 is user F. At this time, the coordination evaluation request message provided by the control unit 130 to at least some terminals (at least some of other user's terminals), 'User F has requested coordination evaluation. The message may include a phrase such as, 'Please evaluate user F's coordination by looking at the clothes that user F is actually wearing.'

That is, the coordination evaluation request message may include the above-described phrase requesting the user's coordination evaluation. In addition, the coordinator evaluation request message includes, for example, the location information of the user terminal possessed by the user F and the information that the user F currently wears in order to allow other offline users to more easily identify who the user F is. Image (actually worn clothing image) information obtained by photographing at least a part of clothing worn in real life may be included together.

Accordingly, other users who have received the coordination evaluation request message (ie, users of at least some terminals provided with the coordination evaluation request message), based on the coordination evaluation request message, users who have requested coordination evaluation located in their vicinity ( It is possible to more easily identify (find) (user F), and then actually view the coordinator of the identified user (user F), and then evaluate the coordinator for him.

According to this, the present device 100, if users who have installed applications provided by the present device 100 are located within a preset area (an area where short-distance communication such as Bluetooth is possible) between each other, the user located within the preset area allowing them to actually see and evaluate each other's coordination (that is, to perform real coordination evaluation).

With respect to the clothes actually worn by the user, the feeling of seeing it as an image by taking a picture and the feeling of seeing it with the naked eye in real offline may be quite different. Accordingly, the apparatus 100 can provide other users with not only online coordinating evaluation but also offline coordinating evaluation. In other words, the device 100 may provide other users to evaluate Coordination based on an image taken by a user and uploaded to a community space (SNS space, etc.), as well as other users who actually see the user. It may be provided to the user to evaluate the coordination of the clothes currently worn by the user.

This device 100 can receive actual evaluations from other users about the detailed clothing fit that cannot be felt in the image, so that when the user wants to go out in the future and coordinate with the clothes he or she owns, Cody Styling can be improved (that is, coordinating styling becomes more luxurious than before, or coordinating styling can be done more sensibly), and an eye for coordinating evaluation, such as that a particular coordinating is good/bad or a particular item does not suit, It can be a motivation for development.

In addition, when the device 100 takes a picture of the owned clothing owned by the user with the user terminal 1 to register the owned clothing, the owned clothing management unit 150 classifies the captured owned clothing into tags and stores the owned clothing. It can be stored and managed in the unit 180. That is, the owned-clothing management unit 150 may classify owned clothes stored in the owned-clothing storage unit 180 into tags (or classify them into tags for each category) and manage them.

At this time, for example, when the user selects first owned clothing as an example among the owned clothing stored in the owned clothing storage unit 180, the controller 130 displays information on the selected first owned clothing on the screen of the user terminal 1. can be displayed on For example, the controller 130 may display information about a period of not wearing the first owned clothing on the screen as information on the first owned clothing. In this way, the apparatus 100 allows the user to check the information about the period of not wearing the registered clothes owned by the user, so that the clothes owned by the user can be efficiently managed (clothing management). can provide

In addition, the device 100 may provide, for example, coordinating recommendation information about which clothes to wear according to the weather to the user. In addition, the device 100 may provide personalized coordination recommendation information in consideration of the user's body shape and TPO (which means time, place, and occasion).

In addition, the present apparatus 100 obtains, for example, biometric information and constitutional information of the user from a wearable device (not shown) worn on one area of the user's body, and considers the obtained user's biometric information and constitutional information Customized coordination recommendation information can be provided.

In addition, the present apparatus 100 periodically (occasionally) receives sensory temperature information (information on the degree of relative coldness/hotness felt by the user) from the user, and obtains sensory temperature characteristic information obtained based on the received sensory temperature information. In consideration of this, it is possible to provide personalized coordination recommendation information. In addition, the device 100 analyzes user sensory characteristic information by comprehensively considering information such as whether the user is located indoors/outdoors, the current temperature at the user's location, weather forecast, and the like, and considers the user sensory characteristic information. Coordination recommendation information for a specific date desired can be provided.

In addition, the apparatus 100 may, for example, collect information related to clothing (fashion) products disclosed on an online shopping mall through crawling (collecting) and perform big data analysis on the collected information. For example, the apparatus 100 extracts review information (review information) for a clothing product that the user wants to purchase (clothing product desired to purchase, fashion product desired to be worn) through analysis of big data, and commerciality is obtained from the extracted review information. Review information and actual review information may be distinguished, and the divided actual review information may be provided on the screen of the user terminal 1 . The device 100 may allow the user to determine whether or not to actually purchase a clothing product to be purchased in consideration of actual review information. That is, when the user purchases a specific clothing product, the apparatus 100 may help the user determine whether to purchase the specific clothing product by considering actual review information on the specific clothing product.

In addition, the apparatus 100 may photograph clothes owned by the user or acquire user's clothes purchase history information, store and manage it in the owned clothes storage unit 180 . In this case, the apparatus 100 may manage owned clothes in consideration of the purchase date of the clothes, the number of times the clothes are worn, and the like. For example, the device 100 assumes that among the owned clothes stored in the owned clothes storage unit 180, owned clothes that have been worn less than a preset number of times (for example, twice) for a preset period of time (for example, one year) exist. If it is determined, the owned clothes may be recognized as used clothes, and information on the owned clothes recognized as used clothes may be provided to a used trading site. That is, the apparatus 100 recognizes clothes that are unlikely to be worn in the future (possibility to be worn) among clothes owned by the user as used clothes, uploads information on the used clothes to a second-hand trading site, and uses them as second-hand clothes. It may be provided so that the transaction of clothes (clothes owned that are judged to be unnecessary due to low possibility of wearing them) is made.

The device 100 may provide customized coordination recommendation information customized for each situation in consideration of time, place, weather, and the like. In addition, the present device 100 provides shopping for clothing products (fashion products), and stores and manages clothing (owned clothing) owned by individuals into a database in the owned clothing storage unit 180. can

In addition, the present device 100 determines the size of clothing (clothing desired to be purchased) to be purchased, based on the information about the owned clothing stored in the owned clothing storage unit 180 and It can be compared, and it can be provided so that efficient purchase of the desired apparel product can be made in consideration of the comparative analysis information.

In addition, the present device 100 can simulate the wearing fit by wearing the clothing product desired to purchase (fashion product desired to be worn) on the avatar prior to actually purchasing it, and considering the result, the desired clothing product for purchase It can be provided so that efficient purchases can be made.

In addition, the device 100 may provide the user with customized coordination recommendation information that matches the on-site weather in the photo by considering the weather and color of a single photo.

The apparatus 100 may provide customized coordination recommendation information considering weather customized for each user. That is, the device 100 may provide personalized coordination recommendation information (provision of a coordination recommendation service). For example, the device 100 can help to solve the problem of whether or not to wear a coat during the change of seasons, between seasons, or weather with a large temperature difference.

The present device 100 can provide a customized coordination service (service related to the provision of recommendation information for coordination) that is cool on hot days and warm on cold days. The device 100 registers clothes (clothes, etc.) owned by individuals as well as shopping, and allows size and fit comparison with clothes to be purchased. In addition, the device 100 may suggest a customized coordination that best matches the scene (site weather) in the picture (ie, provide customized coordination recommendation information) in consideration of the weather and color of a single picture.

This device 100 can be helpful to people interested in fashion and beginners who have difficulty coordinating.

Conventional apparel-related service provision technologies have limitations in accurately identifying individual needs, and as the service is not provided considering the weather, the efficiency of information provided about the weather or detailed situations is reduced, and the latest popular products As (clothing-related fashion products) became the main focus, it was impossible to coordinate using the clothes that the user actually owned, resulting in a decrease in the efficiency of the provided information. The present apparatus 100 can solve the problem of the conventional apparel-related service providing technologies (conventional apparel recommendation information providing technologies).

The apparatus 100 may provide a more detailed customized coordination recommendation service compared to other conventional service providing technologies. In addition, the present device 100 can enhance the practicality of users by providing coordinators more intensively rather than unconditionally inducing purchases. In addition, the device 100 may provide customized coordination recommendation information based on weather, location, and the like.

The device 100 may provide various services and provide convenience. The device 100 may provide coordinator recommendation information by utilizing information on clothes possessed by an existing user, thereby reducing additional clothing consumption (consumption for purchasing additional clothing) to help prevent unnecessary waste of money. .

The apparatus 100 allows the user to simply take a picture of the clothing he/she owns using the camera of the user terminal 1, and tags the clothing owned by the user based on a photo (image) taken of the clothing owned by the user. It can be classified and stored (registered) in the owned clothing storage unit 180 to be managed. Thereafter, for example, when a click is made on a specific owned clothing among managed owned clothing, the apparatus 100 may provide information about a period of time during which the owned clothing is not worn. This device 100 can provide the user with more efficient clothes management for their own clothes.

The device 100 may recommend a suitable outfit suitable for the site weather based on the site weather in the image identified through image analysis. The apparatus 100 may provide coordination recommendation information considering the weather regarding what kind of clothes to wear according to the weather.

The device 100 can recommend clothing suitable for the weather and provide an AI-based coordination recommendation service that recommends a size and coordination suitable for the user's body type.

The device 100 may provide a customized coordination recommendation service to individual users through the provision of AI services. The device 100 can recommend coordination for each body type of the user and provide a coordination recommendation service based on clothes owned (owned) by the user.

The apparatus 100 may provide personalized coordination recommendation information customized to each user in consideration of the difference in relative sensible temperature experienced (feeled) by each user under the condition of the same weather temperature.

In addition, the present apparatus 100 can solve the problem that the utilization of recommended coordinating information is not high for some users as the conventional clothing recommendation technology generally provides average clothing recommendation information for a specific temperature. .

That is, the apparatus 100 recommends an average clothing for a specific temperature in general, although the relative sensory temperature experienced (feeled) by each user is different under the condition of the same weather temperature. As the information is provided, it is possible to solve a problem in which the utilization of recommended coordinator information is not high for some users.

4 is an operation flowchart of a coordinating recommendation method according to an embodiment of the present invention.

The coordinating recommendation method shown in FIG. 4 may be performed by the apparatus 100 described above. Therefore, even if the content is omitted below, the description of the device 100 can be equally applied to the description of the coordinating recommendation method.

Referring to FIG. 4 , in step S11, the receiving unit may receive a request signal for coordinating recommendation from the user.

Next, in step S12, the generation unit may generate coordinator recommendation information considering the weather in response to the request signal received in step S11.

At this time, when the image is received from the user terminal as a request signal, the generation unit identifies the field weather in the image through image analysis (color analysis, etc.) of the image, and recommends coordination information in consideration of the field weather identified as weather. can create

In addition, the coordinator recommendation information generated in step S12 includes first coordinator recommendation information generated based on information about clothing owned by the user stored in the owned clothing storage unit and information about a plurality of clothing products sold on the online shopping mall. Second coordination recommendation information generated based on may be included.

Next, in step S13, the control unit may provide the recommended coordinator information generated in step S12 to the user terminal as personalized coordinator recommendation information, and display it on the screen.

In the foregoing description, steps S11 to S13 may be further divided into additional steps or combined into fewer steps, depending on an embodiment of the present invention. Also, some steps may be omitted if necessary, and the order of steps may be changed.

The coordinator recommendation method according to an embodiment of the present application may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program instructions recorded on the medium may be those specially designed and configured for the present invention or those known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. - includes hardware devices specially configured to store and execute program instructions, such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter, as well as machine language codes such as those produced by a compiler. The hardware devices described above may be configured to act as one or more software modules to perform the operations of the present invention, and vice versa.

In addition, the above-described method for recommending coordination may be implemented in the form of a computer program or application stored in a recording medium and executed by a computer.

The above description of the present application is for illustrative purposes, and those skilled in the art will understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present application. Therefore, the embodiments described above should be understood as illustrative in all respects and not limiting. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as distributed may be implemented in a combined form.

The scope of the present application is indicated by the following claims rather than the detailed description above, and all changes or modifications derived from the meaning and scope of the claims and equivalent concepts thereof should be construed as being included in the scope of the present application.

1000: Cody recommendation system
100: coordination recommendation device
110: receiving unit 120: generating unit
130: control unit 135: determination unit
140: location determination unit 150: owned clothing management unit
160: schedule determination unit 170: history storage unit
180: owned clothing storage unit 190: simulation unit
1: user terminal
3: front display device

Claims (12)

As a coordination recommendation device,
a receiving unit receiving a request signal for coordinating recommendation from a user;
In response to the request signal, a generator that generates recommendation information for coordinating in consideration of weather; and
A control unit providing the coordination recommendation information to a user terminal and displaying it on a screen;
The generator,
When an image is received from the user terminal as the request signal, the field weather in the image is identified through analysis including color analysis of the image and object analysis in the image, and the identified field weather and generating matching coordinator recommendation information;
the receiver,
Desired time information including at least one of information of a specific date designated by the user to provide the recommendation information for the coordinator, information by time zone of the specific date, and information of a specific date interval is received from the user terminal,
The generator,
Generating the coordination recommendation information corresponding to the desired time information in consideration of user experience characteristic information obtained through analysis of a plurality of wear history data of the user and weather forecast information according to the desired time information,
The sensory characteristic information is information obtained by analyzing a correlation between at least one of a temperature measurement value of the user's surrounding environment, weather forecast information, and attribute information of clothing worn by the user and an input value of the user's sensory temperature information.
Kodi recommendation device. delete According to claim 1,
The above code recommendation information,
Includes first coordinator recommendation information generated based on information about clothes owned by the user stored in the owned clothing storage unit and second coordinator recommendation information generated based on information about a plurality of clothing products sold on an online shopping mall It is a coordinating recommendation device. According to claim 3,
Further comprising a determination unit configured to determine whether or not the desired-to-purchase clothing product is suitable for the user to wear, when a user input is made on the desired-to-purchase clothing product among the plurality of clothing products;
The control unit,
If it is determined that the apparel product to be purchased is suitably worn as a result of the determination, a purchase request signal for purchase of the clothing product desired to be purchased is transmitted. According to claim 4,
The control unit,
If it is determined that the apparel product is unsuitable for wearing as a result of the determination, information on an alternative recommended apparel product that satisfies the wear suitability condition and can be replaced is displayed on one area of the screen. According to claim 4,
The judge,
Determining whether the wear is appropriate by comparing the size of the owned clothing belonging to the same category as the clothing product desired to purchase and the size of the clothing product desired to purchase among the information about the owned clothing stored in the owned clothing storage unit. Kodi recommendation device. According to claim 4,
A simulation unit configured to perform a wearing simulation of the desired-to-purchase clothing product by wearing the desired-to-purchase clothing product on an avatar created in consideration of the user's body characteristic information;
wherein the determination unit determines whether the wear is appropriate based on the information related to the tightening part obtained through the execution of the wearing simulation. According to claim 1,
Further comprising a owned clothing management unit that obtains information about clothing owned by the user, stores it in the owned clothing storage unit, and manages it;
The owned clothing management unit determines whether used clothing that satisfies a predetermined used transaction condition exists among the owned clothing stored in the owned clothing storage unit;
wherein the control unit generates an upload request signal for uploading information on the used clothing to a second-hand trading site and provides it to the screen when it is determined that used clothing exists as a result of the determination. According to claim 1,
The receiving unit further receives a user coordination evaluation request signal requesting an evaluation of a coordination based on clothes worn by the user;
When it is detected that the user coordination evaluation request signal has been received, the control unit evaluates the coordination corresponding to the user coordination evaluation request signal on the screens of at least some terminals among terminals of other users who have allowed reception of the coordination evaluation request message. A coordinator recommendation device that controls display of a request message. According to claim 9,
At least some terminals,
Among the other user's terminals, the other user's terminal is located within a preset area from the user's location. As a coordination recommendation system,
The coordination recommendation device of claim 1; and
A user terminal that interworks with the coordinator recommendation device to receive and provide a control signal for controlling the operation of the coordinator recommendation device from a user;
Coordination recommendation system that includes. A coordination recommendation method by the coordination recommendation device of claim 1,
(a) receiving a request signal for coordinating recommendation from a user;
(b) in response to the request signal, generating coordination recommendation information considering weather; and
(c) providing the coordinator recommendation information to a user terminal and displaying it on a screen;
In step (b),
When an image is received from the user terminal as the request signal, the field weather in the image is identified through analysis including color analysis of the image and object analysis in the image, and the identified field weather and generating matching coordinator recommendation information;
The step (c) is
Desired time information including at least one of information of a specific date designated by the user to provide the recommendation information for the coordinator, information by time zone of the specific date, and information of a specific date interval is received from the user terminal,
In step (b),
Generating the coordination recommendation information corresponding to the desired time information in consideration of user experience characteristic information obtained through analysis of the plurality of wear history data of the user and weather forecast information according to the desired time information;
Including,
The sensory characteristic information is information obtained by analyzing a correlation between at least one of a temperature measurement value of the user's surrounding environment, weather forecast information, and attribute information of clothing worn by the user and an input value of the user's sensory temperature information.
How to recommend code.

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