Clothing information management apparatus, clothing information management method, and program

Abstract

To provide a clothing information management apparatus, a clothing information management method, and a program which make it possible to easily select clothing according to activity purposes.SOLUTION: A clothing information management apparatus 10 according to the present invention has a person detection unit 11 for detecting a target person A based on a camera image, a closing specifying unit 12 for specifying clothing C worn by the detected target person A, an activity purpose acquiring unit 13 for acquiring an activity purpose of the target person A upon wearing the specified clothing C, and a management unit 14 for holding information relating to the target person A as clothing management information 31 by associating the clothing C and the activity purpose with each other.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present disclosure relates to a clothing information management device and a clothing information management method, and further to a program for realizing these. [Background technology]

[0002] In recent years, with improvements in camera performance, data communication speed, and computing power, the processing power of images captured by cameras has increased, making it possible to perform various types of processing.

[0003] The system disclosed in Patent Document 1 obtains photos of the clothes worn by a user through a camera installed in the user's home, and then stores the history of the clothes worn. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Publication No. 2019-105924 Summary of the Invention [Problem to be solved by the invention]

[0005] Incidentally, when wearing clothes, different types of clothes are used depending on the purpose of the activity. For example, when meeting someone, clothes appropriate to the person being met are worn. Therefore, if it is possible to know the clothes worn in accordance with the past purpose of the activity and the purpose of that activity, it can be used as a reference when selecting clothes to wear in the future. However, the configuration described in Patent Document 1 does not store the clothes in association with the purpose of the activity, and it is not possible to look back on the relationship between the purpose of the activity and the clothes later.

[0006] An example of an object of the present disclosure is to solve the above problem and make it easier to select clothing according to the purpose of an activity. [Means for solving the problem]

[0007] In order to achieve the above object, a clothing information management device according to one aspect of the present disclosure includes: a person detection unit that detects a target person based on a camera image; a clothing identification unit that identifies clothing worn by the detected target person; a behavioral purpose acquisition unit that acquires a behavioral purpose when the target person wears the identified clothing; a management unit that associates the clothing and the purpose of the activity with each other and stores the clothing and the purpose of the activity as clothing management information for the target person; It is equipped with:

[0008] In order to achieve the above object, a clothing information management method according to one aspect of the present disclosure includes: a person detection step of detecting a target person based on a camera image; a clothing identification step of identifying clothing worn by the detected target person; a behavioral purpose acquisition step of acquiring a behavioral purpose when the target person wears the identified clothing; a management step of associating the clothing with the purpose of the activity for the target person and storing the information as clothing management information; It is equipped with:

[0009] Furthermore, in order to achieve the above object, a program according to one aspect of the present disclosure includes: On the computer, a person detection step of detecting a target person based on a camera image; a clothing identification step of identifying clothing worn by the detected target person; a behavioral purpose acquisition step of acquiring a behavioral purpose when the target person wears the identified clothing; a management step of associating the clothing with the purpose of the activity for the target person and storing the information as clothing management information; Execute the following. [Effects of the Invention]

[0010] As described above, according to the present disclosure, it is possible to easily select clothing that matches the purpose of an activity. [Brief explanation of the drawings]

[0011] [Figure 1] FIG. 1 is a block diagram showing a schematic configuration of an example of a clothing information management device. [Figure 2] FIG. 2 is a block diagram specifically showing the configuration of a clothing information management system including a clothing information management device. [Figure 3] FIG. 3 is a diagram for explaining the processing performed by the clothing information management system, and illustrates target persons, specific persons, etc. [Figure 4] FIG. 4 is a diagram showing clothing management information. [Figure 5] FIG. 5 is a diagram showing a list of clothing information. [Figure 6] FIG. 6 is a flowchart showing an example of the operation of the input support device including the estimation support device. [Figure 7] Figure 7 shows the state in which the operation unit is displayed on the display unit of the terminal, Figure 7A shows the state in which the detection date input field of the operation unit is displayed, and Figure 7B shows the clothing management information for the entered past detection date. [Figure 8] Figure 8 shows the state in which the operation unit is displayed on the display unit of the terminal, Figure 8A shows the state in which the detection date input field of the operation unit is displayed, and Figure 8B shows the proposed information for the entered future date. [Figure 9] FIG. 9 is a block diagram showing an example of a computer that realizes the clothing information management device. DETAILED DESCRIPTION OF THE INVENTION

[0012] (Embodiment) Hereinafter, examples of a clothing information management device, a clothing information management method, and a program will be described in the embodiments with reference to FIGS.

[0013] [Device configuration] First, the schematic configuration of a clothing information management device will be described with reference to Fig. 1. Fig. 1 is a block diagram showing the schematic configuration of an example of a clothing information management device.

[0014] The clothing information management device 10 shown in Fig. 1 is a device for assisting in the management of clothing C worn by a target person A. As shown in Fig. 1, the clothing information management device 10 includes a person detection unit 11, a clothing identification unit 12, a behavioral purpose acquisition unit 13, and a management unit 14.

[0015] The person detection unit 11 detects a target person A based on a camera image. The clothing identification unit 12 identifies clothing C worn by the detected target person A. The activity purpose acquisition unit 13 acquires the activity purpose when the target person A wears the identified clothing C. The management unit 14 associates the clothing C with the activity purpose for the target person A and stores them as clothing management information 31.

[0016] In this way, the clothing information management device 10 does not simply link the target person A with the clothing C worn by the target person A, but links and stores the target person A, the clothing C worn by the target person A, and the purpose of the target person A's activities when wearing the clothing C. The clothing information management device 10 can present the stored clothing management information 31 to the target person A. Therefore, when the target person A is selecting clothing C to wear, it is easier to select clothing C that is more suitable for the target person A's purpose of the activities.

[0017] Next, the configuration and functions of the estimation support device will be described in more detail with reference to Figures 2 to 9. Figure 2 is a block diagram specifically showing the configuration of a clothing information management system 1 including a clothing information management device 10. Figure 3 is a diagram for explaining the processing performed by the clothing information management system 1, illustrating a target person A, a specific person X, etc.

[0018] The clothing information management device 10 is included in a clothing information management system 1. The clothing information management system 1 includes a camera 2, a display unit 3, a sensor 4, and the clothing information management device 10.

[0019] Camera 2 is an imaging device, such as a CCD camera or CMOS camera, that captures images of a person, such as target person A, and clothing C, and generates image data identifying the captured image. Camera 2 may be a camera on a camera-equipped device owned by target person A, or a security camera or other camera installed in a public space around town, regardless of the specific installation location or owner. Camera 2 is preferably configured to capture images of target person A without obtaining permission from target person A each time, as this eliminates the need for time-consuming permission procedures on the part of target person A. The image data generated by camera 2 is output to clothing information management device 10 via a network, such as the Internet, or via a wired cable.

[0020] The display unit 3 is an image display device such as a liquid crystal display or an organic display, and displays the content output from the clothing information management device 10.

[0021] In addition to the person detection unit 11, the clothing identification unit 12, the behavioral purpose acquisition unit 13, and the management unit 14, the clothing information management device 10 may further include at least one of a response acquisition unit 15, a list information generation unit 16, a prediction unit 17, a suggestion unit 18, and an operation unit 19.

[0022] The person detection unit 11 detects the target person A using image data generated by the camera 2. Methods for detecting the target person A include a preparatory step and a detection step. In the preparatory step, the target person A voluntarily takes a photo of himself / herself using a camera-equipped device such as a smartphone or tablet. The image of the target person A obtained by this photo is linked to personal information entered by the target person A into the camera-equipped device, such as the target person A's name, age, address, and a predetermined ID number. The terminal or device performing the linking process may be the clothing information management device 10 or a device other than the device 10; the image and personal information thus obtained constitute the target person information. In the detection step, the person detection unit 11 detects the image of the target person A using a known method such as human feature extraction or pattern matching using the image captured by the camera 2 and the image of the target person information. The specific method used by the person detection unit 11 is not limited as long as it can detect the target person A based on the camera image.

[0023] Clothing identification unit 12 identifies clothing C worn by target person A detected by person detection unit 11. When target person A is detected in an image captured by camera 2, clothing identification unit 12 identifies target person A's clothing C. In this case, identification refers to, for example, identifying the shape and color of target person A's clothing C. Clothing identification unit 12 identifies clothing C using a known method, such as edge detection of the boundary between target person A's clothing C and the background or body, or pattern matching with a previously stored clothing image. Note that clothing identification unit 12 may register clothing C owned by target person A in advance in clothing identification unit 12 via a device camera or the like, and identify clothing C by comparing the registered clothing C with clothing C captured by camera 2. Clothing identification unit 12 may also identify clothing C captured by camera 2 by performing a web search.

[0024] Clothing identification unit 12 outputs the identified clothing C as clothing information including a clothing image. This clothing information may be an image of clothing C captured by camera 2, an image of clothing C previously owned by target person A registered via a device camera or the like, or an image obtained by a web search.

[0025] Clothing identification unit 12 may convert the identified clothing C into text information such as a clothing name, such as "sweater," "shirt," or "jacket," and output the text information as clothing information, or may output both a clothing image and text information such as a clothing name as clothing information. This text information may include characteristic information about the clothing, such as color information, such as "blue," "red," etc.

[0026] The purpose acquisition unit 13 acquires the purpose of the target person A when the target person A wears the identified clothing C. The purpose acquisition unit 13 can acquire the purpose of the target person A in various ways. For example, the purpose acquisition unit 13 is configured to be connectable to schedule management software used by the target person A, or communication tool software such as email software or chat software. The purpose acquisition unit 13 can acquire the purpose of the target person A registered in the schedule management software from the schedule management software. The purpose acquisition unit 13 can also acquire the purpose of the target person A from the content of the communication history, which is the content of communications made using the communication tool software. The purpose acquisition unit 13 acquires the purpose of the target person A by extracting keywords included in the schedule management software or the communication tool software, such as "meeting," "business," "shopping," and "leisure." Examples of purposes of the purpose include "meeting," "business," "shopping," and "leisure." The purpose acquisition unit 13 may retain the purpose of the target person A registered in the schedule management program as is.

[0027] The purpose of action acquisition unit 13 may include an estimation unit 21 that estimates a purpose of action. The estimation unit 21 estimates the purpose of action on the day the clothing C is detected based on at least one of clothing information that identifies the clothing C worn by the target person A, schedule information about the target person A, and sensor information obtained from the sensor 4. In this way, the estimation unit 21 estimates the purpose of action of the target person A from the given information. The estimation unit 21 may estimate the purpose of action by referring to the given information and pre-registered purpose of action information, or may estimate the purpose of action using AI that has learned the past purposes of the target person A as training data; the specific estimation method is not limited.

[0028] When estimating the purpose of action from the clothing information of the target person A, the estimation unit 21 may hold a database or the like that is estimated as the purpose of wearing clothing C, and estimate the purpose of action by comparing this database with clothing C, or may estimate the purpose of action using an AI that has learned using the above database or the like as training data.

[0029] When estimating the purpose of action from the schedule information of the target person A, the estimation unit 21 may estimate the purpose of action using an AI that has learned the past schedule information of the target person A as training data, or in accordance with a predetermined estimation algorithm.

[0030] When estimating the purpose of activity based on sensor information obtained from the sensor 4, the estimation unit 21 may estimate the purpose of activity according to AI or a predetermined estimation algorithm. The sensor 4 may be a biosensor that measures the physical condition of the target person A, such as the body temperature or heart rate, a GNSS (Global Navigation Satellite System) sensor, a camera installed in the city, a sensor provided in XR (Cross Reality) glasses such as AR (Augmented Reality) or MR (Mixed Reality), or a sensor other than a biosensor; the specific type of sensor is not important.

[0031] The purpose of the activity may include at least one of "meeting with a specific person," "visiting a specific place," and "performing a specific task."

[0032] The estimation unit 21 can employ various methods for identifying that the purpose of the activity is a "meeting with a specific person." The estimation unit 21 is configured to be connectable to, for example, schedule management software, communication tool software such as email software and chat software, and XR glasses used by the target person A. The estimation unit 21 can acquire meeting information with the specific person X registered in the schedule management software from the schedule management software. The estimation unit 21 can also acquire meeting information with the specific person X recorded in a communication history, which is the content of communications using the communication tool software, from the communication tool software. The estimation unit 21 can also acquire information indicating a meeting with the specific person X from an image captured by the camera 2 attached to the XR glasses worn by the target person A. Note that, when meeting with the specific person X for business purposes, the estimation unit 21 may infer that the purpose of the activity is a meeting with the specific person X based on meeting participant information, etc. created via a predetermined terminal, etc.

[0033] The management unit 14 associates the clothing C and the purpose of activity for the target person A with each other and stores the associated clothing C as clothing management information 31, as shown in FIG. 4. FIG. 4 is a diagram showing the clothing management information 31. The management unit 14 associates the clothing C of the target person A identified by the clothing identification unit 12 with the purpose of activity identified or estimated by the purpose acquisition unit 13 and stores the associated clothing C as clothing management information 31. The management unit 14 may associate the purpose of activity directly acquired by the purpose acquisition unit 13 from a schedule management program or the like with the clothing C and store the associated clothing management information, or may associate the purpose of activity estimated by the estimation unit 21 with the clothing C and store the associated clothing management information.

[0034] The management unit 14 may be configured to distinguish between a case where the purpose of action acquired by the purpose acquisition unit 13 from a schedule management program or the like is retained as is and a case where the purpose of action estimated by the estimation unit 21 is retained. For example, the management unit 14 may display the purpose of action on the display unit 3 in different colors, fonts, etc., depending on whether the purpose of action acquired by the purpose acquisition unit 13 from a schedule management program or the like is retained as is or whether the purpose of action estimated by the estimation unit 21 is retained.

[0035] If the purpose of the activity is to meet with a specific person, the management unit 14 may include information for identifying the specific person X in the clothing management information 31.

[0036] For example, the person detection unit 11 may be configured to detect a specific person X based on a camera image obtained by the camera 2, and the clothing identification unit 12 may be configured to identify the clothing worn by the detected specific person X.

[0037] In this case, the person detection unit 11 detects the specific person X using image data generated by the camera 2. Similar to the method for identifying the target person A, a method for detecting the specific person X may include a preparatory step and a detection step. In the preparatory step, for example, the camera 2 captures the specific person X when the target person A meets with the specific person X. The image of the target person A obtained by this capture is linked to personal information of the specific person X, obtained by inputting, for example, the name of the specific person X into a terminal owned by the target person A. This image and personal information constitute the specific person information. In the detection step, the person detection unit 11 detects the image of the specific person X from the image captured by the camera 2 and the image of the specific person information using a known method such as human feature extraction or pattern matching. The person detection unit 11 may simply detect the specific person X based on the camera image, and the specific method is not limited to this. The management unit 14 may also include information about the specific person X obtained from the estimation unit 14 or the like.

[0038] Clothing identification unit 12 identifies the clothing worn by specific person X detected by person detection unit 11. The method for identifying the clothing worn by specific person X at this time is the same as the method for identifying clothing C worn by target person A.

[0039] When the management unit 14 can identify a specific person X and the clothes worn by the specific person X, the management unit 14 may store the specific person X, the clothes worn by the specific person X, and the date on which the clothes were worn as clothing management information 31 in association with each other.

[0040] The reaction acquisition unit 15 acquires the reaction of the specific person X when the target person A and the specific person X meet. The reaction acquisition unit 15 identifies the reaction of the specific person X using a known method such as extracting feature points of facial expression changes or facial expression pattern matching, based on an image obtained by capturing the specific person X with a camera 2 or the like while the target person A and the specific person X meet. The reaction acquisition unit 15 may identify the reaction of the specific person X based on biosensor information obtained from a sensor 4 such as a thermograph. Examples of the identified reaction include "◎ (good)," "○ (passable)," "△ (not so good)," and "× (completely bad)." The identified reaction does not necessarily represent the impression the specific person X had when they saw the clothing C of the target person A. However, since the relationship between the clothing C worn by the target person A and the reaction of the specific person X cannot be said to be uncorrelated, it is meaningful to store the reaction of the specific person X.

[0041] 4, the management unit 14 may store the name of specific person X, the clothing worn by specific person X, and the reaction of specific person X in association with one another as clothing management information 31. In the example shown in FIG. 4, the clothing management information 31 indicates the date (date) on which clothing C was detected, a clothing image as clothing information, the purpose of the activity, and the destination location. In the clothing management information 31, when the purpose of the activity is a meeting, the name of specific person X who is the meeting person, a clothing image identifying the clothing of specific person X, and the reaction of specific person X at the time of the meeting (the reaction of specific person X when seeing target person A) are indicated.

[0042] The list information generator 16 generates list information 32 of clothing C owned by the target person A based on the clothing management information 31. The list information generator 16 generates list information 32 of clothing C of the target person A included in the clothing management information 31, for example, as shown in FIG. 5. FIG. 5 is a diagram showing the list information 32 of clothing C. This list information 32 is information that lists clothing C worn by the target person A as images captured by the camera 2. Note that the images of clothing C in the list information 32 may be images captured in advance by the target person A, etc., or may be images obtained from an external source such as by a web search.

[0043] The list information generation unit 16 may delete from the list information any clothing C that has been in use for a certain period of time since it was last photographed by the camera 2, or may delete from the list information any clothing C that has been selected by the target person A operating the terminal.

[0044] The prediction unit 17 predicts the future (near future) activity purpose of the target person A. Various methods can be adopted as a method for the prediction unit 17 to predict the future activity of the target person A. The prediction unit 17 is configured to be connectable to, for example, schedule management software used by the target person A, or communication tool software such as email software or chat software. The prediction unit 17 can acquire the past or future activity purpose of the target person A registered in the schedule management software from the schedule management software. The prediction unit 17 can also acquire the past or future activity purpose of the target person A from the communication history of the communication tool software from the schedule management software. The prediction unit 17 can predict the future activity purpose of the target person A based on these past or future activity purposes. The prediction unit 17 predicts the activity purpose of the target person A using a known method such as AI or a predetermined algorithm based on keywords included in the schedule management software or the communication tool software, such as keywords that suggest plans, such as "visit," "business," "shopping," and "leisure." Examples of predicted activities include "visit," "business," "shopping," and "leisure."

[0045] When the prediction unit 17 infers that the future purpose of action is "meeting," it may predict a specific person X that the target person A is scheduled to meet. In this case, the prediction unit 17 may predict the date of meeting with the specific person X, for example, using an AI that has learned from training data the dates on which the target person A met with the specific person X in the past, or in accordance with a predetermined estimation algorithm. For example, if the target person A regularly meets with the specific specific person X, the prediction unit 17 may predict that the target person A will meet with the specific specific person X on the next regular day. How the prediction unit 17 infers the future purpose of action of the target person A is not limited to the above example, and the specific method is not limited.

[0046] The suggestion unit 18 suggests clothes C to be worn by the target person A from among the clothes C included in the list information 32, based on the future purpose of action predicted by the prediction unit 17. For example, when a purpose of action other than "meeting" is predicted, the suggestion unit 18 may suggest clothes C that are different from clothes worn during the same purpose of action in the most recent past, or may suggest clothes C according to an AI or a predetermined algorithm that has learned using the clothes C worn during the same purpose of action in the past as training data; the specific configuration is not limited.

[0047] If the future purpose of the activity is predicted to be "meeting," the suggestion unit 18 identifies previous clothes C, which are clothes C worn by the target person A when he or she met the specific person X within a predetermined period of time in the past (e.g., one month, several months, one year, or several years). Next, the suggestion unit 18 suggests clothes C to be worn by the target person A from among clothes C other than the previous clothes C and included in the list information 32. At this time, the suggestion unit 18 may, for example, refer to attribute information of the target person A (business contacts, leisure contacts, etc.) input by the target person A by operating the terminal, and suggest clothes C that are in line with the attributes. For example, if the specific person X is a person with whom the target person A has a business contact, the suggestion unit 18 suggests formal clothes C such as a suit. The suggestion unit 18 may determine the clothes C to suggest using AI that has learned from past purposes of the activity and clothes C associated with these purposes as training data. Furthermore, the suggestion unit 18 may preferentially suggest the clothing C worn by the specific person X when the specific person X responded well to a previous meeting, and may lower the priority of suggesting the clothing C worn by the specific person X when the specific person X responded poorly.

[0048] The operation unit 19 displays a user interface such as buttons that can be operated by the target person A on the display unit 4 on the display unit 3. When the operation unit 19 is operated, a command signal corresponding to the operation content is output.

[0049] [Device operation] Next, an example of the operation of the clothing information management system 1 including the clothing information management device 10 will be described with reference to FIG. 6. FIG. 6 is a flow diagram showing an example of the operation of the clothing information management system 1 including the clothing information management device 10. In the following description, FIGS. 1 to 6 will be referenced as appropriate. In this embodiment, a clothing information management method is implemented by operating the clothing information management device 10. Therefore, the description of the clothing information management method in this embodiment will be replaced by the following description of the operation of the clothing information management device 10.

[0050] As shown in FIG. 6, the person detection unit 11 detects a target person A based on a camera image from the camera 2 (step A1). Next, the clothing identification unit 12 identifies clothing C worn by the detected target person A (step A2). Next, the behavioral purpose acquisition unit 13 acquires the behavioral purpose when the target person A is wearing the identified clothing C (step A3). Note that if the behavioral purpose is to meet with a specific person X, the management unit 14 may include information identifying the specific person X in the clothing management information 31.

[0051] Next, the management unit 14 generates and stores clothing management information 31 for target person A by associating the detection date, clothing C, and purpose of activity with each other (step A4). If the purpose of activity is to meet with specific person X, the management unit 14 includes information identifying specific person X in the clothing management information 31. Specifically, the management unit 14 includes information identifying the name of specific person X, the clothing C worn by specific person X, and the reaction of specific person X.

[0052] Next, the list information generation unit 16 generates list information 32 (step A5). Note that the generation of list information 32 by the list information generation unit 16 may be performed separately from the time when person detection (step A1) is performed. Next, the prediction unit 17 predicts the future purpose of action of the target person A (step A6). At this time, if the future purpose of action is a meeting, the prediction unit 17 predicts who the specific person X that the target person A is scheduled to meet is.

[0053] FIG. 7 shows the operation unit 19 displayed on the display unit 3 of the terminal 5. FIG. 7A shows the operation unit 19 with the detection date input field 35 displayed, and FIG. 7B shows clothing management information 31 for the input past detection date. For example, when an app for operating the clothing information management device 10 is launched, the detection date input field 35 is displayed on the operation unit 19 as shown in FIG. 7A. For example, when target person A operates the detection date input field 35 to input a specific past date and presses the "Search" button, a display of past or clothing management information 31 is requested (YES in step A7). At this time, the management unit 14 causes the display unit 3 to display clothing management information 31 for the past date as shown in FIG. 7B (step A8). The specific manner in which clothing management information 31 is displayed on the display unit 3 is not limited.

[0054] 8A shows a state in which the operation unit 19 is displayed on the display unit 3 of the terminal 5, and FIG. 8B shows suggested information 36 for the input future date. As shown in FIG. 8A, for example, when target person A operates the detection date input field 35 to input a predetermined future date and presses the "Predict" button, a display of the future purpose of activity and the like is requested (YES in step A9). At this time, the suggestion unit 18 causes the display unit 3 to display suggested information 36 suggesting clothing C to be worn by target person A from clothing C included in the list information 32, as shown in FIG. 8B (step A10).

[0055] [Effects of the embodiment] As described above, according to this embodiment, the clothing information management device 10 detects the target person A based on the camera image captured by the camera 2, identifies the clothing C worn by the target person A, acquires the purpose of the target person A's activities while wearing the clothing C, and stores the clothing C and the purpose of the activities in association with each other as clothing management information 31. With this configuration, the target person A can have "what clothing C he / she wore when and with whom he / she met" automatically registered in the clothing management information 10. Therefore, the target person A can automatically manage "what clothing C he / she wore when and with whom he / she met" without feeling any burden. Therefore, when selecting clothing C to wear, it is easy to select clothing C that is more suitable for the target person A's purpose of the activities.

[0056] Furthermore, in this embodiment, the management unit 14 can associate the estimated purpose of activity with the clothing C and store it as clothing management information 31. Since the purpose of activity can be estimated in this way, the management unit 14 can present a more accurate purpose of activity to the target person A.

[0057] Furthermore, in this embodiment, the estimation unit 21 estimates the purpose of activity based on at least one of clothing information that identifies the clothing C worn by the target person A, schedule information about the target person A, and sensor information obtained from the sensor 4. In this way, the estimation unit 21 estimates the purpose of activity of the target person A based on various information, and therefore can estimate the purpose of activity more accurately.

[0058] In this embodiment, the activity purpose includes at least one of meeting with a specific person X, visiting a specific place, and performing a specific task. In this way, the activity purpose includes items that are important to the target person A when selecting clothing C. Therefore, the clothing information management device 10 can generate clothing management information 31 that is more useful when the target person A selects clothing C.

[0059] Furthermore, in this embodiment, if the purpose of the activity includes meeting with a specific person X, the management unit 14 includes information identifying the specific person X in the clothing management information 31. This allows the clothing information management device 10 to generate clothing management information 31 that is more useful when the target person A selects clothing C.

[0060] Furthermore, in this embodiment, the suggestion unit 18 suggests clothing C to be worn by the target person A from among the clothing C included in the list information 32, based on the predicted future purpose of the activity. In this way, the clothing information management device 10 can suggest clothing C according to the purpose of the activity, thereby further reducing the effort required for the target person A to select clothing.

[0061] Furthermore, in this embodiment, the suggestion unit 18 suggests clothing C to be worn by the target person A from among clothing C included in the list information 32, other than previous clothing, which is clothing C worn by the target person A when he or she met the specific person X within a predetermined period in the past. This configuration makes it possible to prevent the target person A from accidentally wearing the same clothing C as before when meeting the specific person X again.

[0062] In this embodiment, the suggestion of clothing C when meeting one specific person X has been described, but this is not necessarily the case. For example, when a user plans to meet multiple specific people X at the same time, the suggestion unit 18 may suggest clothing C from the list information 32 so that the clothing C does not overlap with any of the clothing C worn when the user met each of the specific people X within a certain period of time in the past.

[0063] Furthermore, in this embodiment, for example, when a person plans to meet multiple specific persons X at the same time, the suggestion unit 18 may assign importance to each specific person X, and suggest clothing C that is different from the clothing C worn when the person A met at least one of the specific persons X with a high importance within a certain period of time in the past. The importance of the specific person X is estimated by the estimation unit 21. In this case, the estimation unit 21 is configured to be connectable to, for example, schedule management software, communication tool software such as email software and chat software, or MR (Mixed Reality) glasses used by the target person A. The estimation unit 21 can acquire person importance information, such as the affiliation of the specific person X, registered in the schedule management software from the schedule management software. The estimation unit 21 can also acquire person importance information, such as the affiliation, included in meeting information with the specific person X recorded in the communication history, which is the content of communications using the communication tool software, from the communication tool software. The estimation unit 21 can also acquire information about the specific person X from an image captured by a camera 2 attached to the MR glasses worn by the target person A, for example, by searching the Internet for the specific person X, and can acquire person importance information, such as the affiliation, included in the acquired information. Furthermore, the estimation unit 21 may acquire person importance information such as the affiliation of the specific person X based on the conference participant information or the like.

[0064] Furthermore, in this embodiment, when the purpose of action is a specific meeting, the management unit 14 may use an image of the meeting captured by the camera 2 to include in the clothing management information 31 the degree of difference in the type of clothing worn by the target person A and the people around them. For example, the degree of difference can be calculated by converting the type of clothing C captured by the camera 2 and the type of clothing worn by the people around them into text or numbers using image recognition or the like. Then, the suggestion unit 18 may suggest clothing C that is determined to have a small degree of difference the next time the same meeting occurs, rather than suggesting clothing C for which the degree of difference was large.

[0065] [program] An example of a program in this embodiment is a program that causes a computer to execute steps A1 to A10 shown in Fig. 6. By installing and executing this program on a computer, a clothing management information device and a clothing management method can be realized. In this case, the computer's processor functions as person detection unit 11, clothing identification unit 12, behavioral purpose acquisition unit 13, management unit 14, reaction acquisition unit 15, list information generation unit 16, prediction unit 17, suggestion unit 18, and operation unit 19, and performs processing.

[0066] The program according to the present embodiment may be executed by a computer system constructed by a plurality of computers. In this case, for example, each computer may function as one of person detection unit 11, clothing identification unit 12, behavioral purpose acquisition unit 13, management unit 14, reaction acquisition unit 15, list information generation unit 16, prediction unit 17, suggestion unit 18, and operation unit 19.

[0067] An example of a computer that implements the clothing information management device 10 by executing the program of this embodiment will now be described with reference to Fig. 9. Fig. 9 is a block diagram showing an example of a computer that implements the clothing information management device 10.

[0068] 9, the computer 110 includes a CPU (Central Processing Unit) 111, a main memory 112, a storage device 113, an input interface 114, a display controller 115, a data reader / writer 116, and a communication interface 117. These components are connected to each other via a bus 121 so as to be able to communicate data with each other.

[0069] Furthermore, the computer 110 may include a GPU (Graphics Processing Unit) or an FPGA (Field-Programmable Gate Array) in addition to or instead of the CPU 111. In this aspect, the GPU or FPGA can execute the programs in the embodiments.

[0070] The CPU 111 loads a program in the embodiment, which is composed of a group of codes and stored in the storage device 113, into the main memory 112 and executes each code in a predetermined order to perform various calculations. The main memory 112 is typically a volatile storage device such as a DRAM (Dynamic Random Access Memory).

[0071] The program in the embodiment is provided in a state stored in a computer-readable recording medium 120. The program in the embodiment may be distributed over the Internet connected via the communication interface 117.

[0072] Specific examples of the storage device 113 include a hard disk drive and a semiconductor storage device such as a flash memory. The input interface 114 mediates data transmission between the CPU 111 and input devices 118 such as a keyboard and a mouse. The display controller 115 is connected to a display device 119 and controls the display on the display device 119.

[0073] Data reader / writer 116 mediates data transmission between CPU 111 and recording medium 120, reads programs from recording medium 120, and writes processing results from computer 110 to recording medium 120. Communication interface 117 mediates data transmission between CPU 111 and other computers.

[0074] Specific examples of the recording medium 120 include general-purpose semiconductor storage devices such as CF (Compact Flash (registered trademark)) and SD (Secure Digital), magnetic recording media such as flexible disks, or optical recording media such as CD-ROMs (Compact Disk Read Only Memory).

[0075] The clothing information management device 10 of this embodiment can be realized not by a computer with a program installed, but by hardware corresponding to each component, such as an electronic circuit. Furthermore, the clothing information management device 10 may be partially realized by a program and the remaining components by hardware. In the embodiment, the computer is not limited to the computer shown in FIG. 9.

[0076] A part or all of the above-described embodiment can be expressed by (Supplementary Note 1) to (Supplementary Note 21) described below, but is not limited to the following description.

[0077] (Appendix 1) a person detection unit that detects a target person based on a camera image; a clothing identification unit that identifies clothing worn by the detected target person; a behavioral purpose acquisition unit that acquires a behavioral purpose when the target person wears the identified clothing; a management unit that associates the clothing and the purpose of the activity with each other and stores the clothing and the purpose of the activity as clothing management information for the target person; A clothing information management device comprising:

[0078] (Appendix 2) the activity purpose acquisition unit includes an estimation unit that estimates the activity purpose, 2. The clothing information management device according to claim 1, wherein the management unit associates the estimated purpose of activity with the clothing and stores the association information as the clothing management information.

[0079] (Appendix 3) The clothing information management device according to claim 2, wherein the estimation unit estimates the purpose of the activity based on at least one of clothing information identifying the clothing worn by the target person, schedule information of the target person, and sensor information obtained from a sensor.

[0080] (Appendix 4) The clothing information management device according to claim 3, wherein the purpose of the activity includes at least one of meeting with a specific person, visiting a specific place, and performing a specific task.

[0081] (Appendix 5) The clothing information management device according to claim 1, wherein, when the purpose of the activity includes a purpose of meeting with a specific person, the management unit includes information identifying the specific person in the clothing management information.

[0082] (Appendix 6) a list information generating unit that generates list information of the clothes owned by the target person based on the clothing management information; a prediction unit for predicting a future behavioral purpose of the target person; a suggestion unit that suggests clothes to be worn by the target person from among the clothes included in the list information based on the predicted future behavioral purpose; 2. The clothing information management device according to claim 1, further comprising:

[0083] (Appendix 7) the prediction unit predicts a specific person that the target person is scheduled to meet, if the future behavior purpose is a meeting; The clothing information management device described in Appendix 6, wherein the suggestion unit identifies previous clothing, which is the clothing worn by the target person when they met the specific person within a predetermined period in the past, and suggests clothing to be worn by the target person from among clothing other than the previous clothing and included in the list information.

[0084] (Appendix 8) a person detection step of detecting a target person based on a camera image; a clothing identification step of identifying clothing worn by the detected target person; a behavioral purpose acquisition step of acquiring a behavioral purpose when the target person wears the identified clothing; a management step of associating the clothing with the purpose of the activity for the target person and storing the information as clothing management information; The clothing information management method includes:

[0085] (Appendix 9) the activity purpose acquisition step includes an estimation step of estimating the activity purpose, The clothing information management method according to claim 8, wherein the management step associates the estimated purpose of activity with the clothing and stores the association information as the clothing management information.

[0086] (Appendix 10) The clothing information management method according to claim 9, wherein the estimation step estimates the purpose of the activity based on at least one of clothing information identifying the clothing worn by the target person, schedule information of the target person, and sensor information obtained from a sensor.

[0087] (Appendix 11) The clothing information management method according to claim 10, wherein the purpose of the activity includes at least one of meeting with a specific person, visiting a specific place, and performing a specific task.

[0088] (Appendix 12) A clothing information management method as described in Appendix 8, wherein, when the purpose of the activity includes the purpose of meeting with a specific person, the management step includes information identifying the specific person in the clothing management information.

[0089] (Appendix 13) a list information generating step of generating list information of the clothes owned by the target person based on the clothing management information; a prediction step of predicting a future behavioral purpose of the target person; a suggestion step of suggesting clothes to be worn by the target person from among the clothes included in the list information based on the predicted future behavioral purpose; The clothing information management method according to claim 8, further comprising:

[0090] (Appendix 14) In the prediction step, when the future behavior purpose is a meeting, a specific person that the target person is scheduled to meet is predicted; The clothing information management method described in Appendix 13, wherein the suggestion step identifies previous clothing, which is the clothing worn by the target person when they met the specific person within a predetermined period in the past, and suggests clothing to be worn by the target person from among clothing other than the previous clothing and included in the list information.

[0091] (Appendix 15) On the computer, a person detection step of detecting a target person based on a camera image; a clothing identification step of identifying clothing worn by the detected target person; a behavioral purpose acquisition step of acquiring a behavioral purpose when the target person wears the identified clothing; a management step of associating the clothing with the purpose of the activity for the target person and storing the information as clothing management information; A program that executes.

[0092] (Appendix 16) the activity purpose acquisition step includes an estimation step of estimating the activity purpose, The program according to claim 15, wherein the management step associates the estimated purpose of action with the clothing and stores the association information as the clothing management information.

[0093] (Appendix 17) The program described in Appendix 16, wherein the estimation step estimates the purpose of the behavior based on at least one of clothing information that identifies the clothing worn by the target person, schedule information of the target person, and sensor information obtained from a sensor.

[0094] (Appendix 18) 18. The program of claim 17, wherein the behavioral objective includes at least one of meeting with a specific person, visiting a specific place, and performing a specific task.

[0095] (Appendix 19) The program described in Appendix 15, wherein, if the purpose of the activity includes the purpose of meeting with a specific person, the management step includes information identifying the specific person in the clothing management information.

[0096] (Appendix 20) a list information generating step of generating list information of the clothes owned by the target person based on the clothing management information; a prediction step of predicting a future behavioral purpose of the target person; a suggestion step of suggesting clothes to be worn by the target person from among the clothes included in the list information based on the predicted future behavioral purpose; 16. The program of claim 15, further comprising:

[0097] (Appendix 21) In the prediction step, when the future behavior purpose is a meeting, a specific person that the target person is scheduled to meet is predicted; The program described in Appendix 20, wherein the suggestion step identifies previous clothes, which are the clothes worn by the target person when they met the specific person within a predetermined period in the past, and suggests clothes to be worn by the target person from among clothes other than the previous clothes and included in the list information. [Industrial Applicability]

[0098] The present disclosure is useful as a clothing information management device, a clothing information management method, and a program. [Explanation of symbols]

[0099] 1. Clothing information management system 2 Cameras 3 Display section 4 sensors 5. Terminal 10 Clothing information management device 11 Person detection unit 12 Clothes Specification Department 13 Behavioral purpose acquisition department 14 Management Department 15 Response acquisition section 16 List information generation unit 17 Prediction Department 18 Proposal Department 19 Control section 21 Estimation part 31 Clothing management information 32 List Information 35 Detection date input field 36 Proposal Information 110 Computer 111 CPU 112 main memory 113 Storage device 114 Input Interface 115 Display Controller 116 Data Reader / Writer 117 Communication Interface 118 Input Devices 119 Display Device 120 Recording Media 121 Bus A. Target person C Clothes X Specific person

Claims

1. a person detection unit that detects a target person based on a camera image; a clothing identification unit that identifies clothing worn by the detected target person; a behavioral purpose acquisition unit that acquires a behavioral purpose when the target person wears the identified clothing; a management unit that associates the clothing and the purpose of the activity with each other and stores the clothing and the purpose of the activity as clothing management information for the target person; A clothing information management device comprising:

2. the activity purpose acquisition unit includes an estimation unit that estimates the activity purpose, The clothing information management device according to claim 1 , wherein the management unit associates the estimated purpose of activity with the clothing and stores the association information as the clothing management information.

3. 3. The clothing information management device according to claim 2, wherein the estimation unit estimates the purpose of the activity based on at least one of clothing information identifying the clothing worn by the target person, schedule information of the target person, and sensor information obtained from a sensor.

4. The clothing information management device according to claim 3 , wherein the purpose of the activity includes at least one of meeting with a specific person, visiting a specific place, and performing a specific task.

5. The clothing information management device according to claim 1 , wherein when the purpose of the activity includes a purpose of meeting a specific person, the management unit includes information identifying the specific person in the clothing management information.

6. a list information generating unit that generates list information of the clothes owned by the target person based on the clothing management information; a prediction unit for predicting a future behavioral purpose of the target person; a suggestion unit that suggests clothes to be worn by the target person from among the clothes included in the list information based on the predicted future behavioral purpose; The clothing information management device according to claim 1 , further comprising:

7. the prediction unit predicts a specific person that the target person is scheduled to meet, if the future behavior purpose is a meeting; 7. The clothing information management device according to claim 6, wherein the suggestion unit identifies previous clothing, which is the clothing worn by the target person when they met the specific person within a predetermined period in the past, and suggests clothing to be worn by the target person from among clothing other than the previous clothing and included in the list information.

8. a person detection step of detecting a target person based on a camera image; a clothing identification step of identifying clothing worn by the detected target person; a behavioral purpose acquisition step of acquiring a behavioral purpose when the target person wears the identified clothing; a management step of associating the clothing with the purpose of the activity for the target person and storing the information as clothing management information; The clothing information management method includes:

9. On the computer, a person detection step of detecting a target person based on a camera image; a clothing identification step of identifying clothing worn by the detected target person; a behavioral purpose acquisition step of acquiring a behavioral purpose when the target person wears the identified clothing; a management step of associating the clothing with the purpose of the activity for the target person and storing the information as clothing management information; A program that executes.

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