WO2015011678A1 - Procédé permettant de déterminer un indice d'ajustage de vêtement sur la base de données anthropométriques d'un utilisateur, et dispositif et système associés - Google Patents

Procédé permettant de déterminer un indice d'ajustage de vêtement sur la base de données anthropométriques d'un utilisateur, et dispositif et système associés Download PDF

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Publication number
WO2015011678A1
WO2015011678A1 PCT/IB2014/063414 IB2014063414W WO2015011678A1 WO 2015011678 A1 WO2015011678 A1 WO 2015011678A1 IB 2014063414 W IB2014063414 W IB 2014063414W WO 2015011678 A1 WO2015011678 A1 WO 2015011678A1
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WO
WIPO (PCT)
Prior art keywords
garment
user
data
measurement
customer
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Application number
PCT/IB2014/063414
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English (en)
Inventor
David AVINO
Jean-Gabriel DE BAYSER
Nicola Giorgio BOLLATI
Original Assignee
Eva S.R.L.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Eva S.R.L. filed Critical Eva S.R.L.
Priority to EP14780568.3A priority Critical patent/EP3025288A1/fr
Publication of WO2015011678A1 publication Critical patent/WO2015011678A1/fr

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • A—HUMAN NECESSITIES
    • A41—WEARING APPAREL
    • A41H—APPLIANCES OR METHODS FOR MAKING CLOTHES, e.g. FOR DRESS-MAKING OR FOR TAILORING, NOT OTHERWISE PROVIDED FOR
    • A41H1/00—Measuring aids or methods

Definitions

  • the present invention relates to a method, a device and a system for determining a fitting index of a garment based on anthropometric data of a user; more in particular, it concerns the evaluation of how a garment will fit, with a demonstration on a three-dimensional model of a user.
  • the virtual wardrobe called "Fits.me” invites the on-line customer to manually enter his/her own measurements on the site and to answer a series of questions. Some questions relate to the preferred fitting style, i.e. if he/she prefers a close-fitting, "regular", or comfortable and loose garment.
  • the on-line system then recommends a size to the user based on his/her measurements, his/her preferences, and the previous sales statistics of the product. However, no three-dimensional human model is displayed to show the user's real physical shape in combination with the virtual model of the chosen garment.
  • BodyPal Another virtual fitting room is "BodyPal", wherein a user is allowed to manually enter his/her measurements. The user can then choose and select a retailer's on-line site and display the preferred garments. For each garment selected, the retailer recommends a size on the basis of the measurements previously entered on BodyPal's Internet page dedicated to measurements.
  • a second object of the present invention is to provide a method, a device and a system for determining a fitting index of a garment based on anthropometric data of a user, which allows visually combining virtual garments with a three-dimensional model of a user, so that the latter can actually verify how the chosen garment will fit.
  • the following will describe a method, a device and a system for determining a fitting index of a garment based on anthropometric data of a user, wherein said method provides for determining a size based on said fitting index of the garment.
  • the method provides for displaying a three-dimensional virtual model of the user, which is built according to the user's anthropometric data, and for combining said model with virtual garments, in particular with three-dimensional models of garments.
  • the method provides for determining the fitting index of a virtual garment based on at least one piece of style information comprising a customer's comfort preference, the actual measurements of the garment obtained from a model thereof of the CAD ("Computer-Aided Design") type, a comfort value dictated by a manufacturer of the garment and by an importance criterion associated with a part of the garment corresponding to a measurable body part.
  • Said importance criterion can be represented by means of numerical values, which contribute to determining the fitting index, and hence to evaluating the correct size of the garment for the user.
  • FIG. 1 illustrates a first embodiment of a system according to the present invention
  • FIG. 2a shows an example of a page of a web platform
  • FIG. 2b shows a further example of a page of a web platform
  • FIG. 3 shows an example of a three-dimensional model of a person
  • FIG. 4 shows a second embodiment of the system according to the present invention.
  • the method according to the present invention provides for determining a fitting index of a garment based on anthropometric data of a user, said method comprising the steps of:
  • a system 1 which comprises at least one device 2,10,12,14,16 and storage means 4,6 associated therewith.
  • customer and user will be used without distinction to identify a physical person acting as a customer.
  • the devices 2,10,12,14,16 are, respectively, an application server 2, a customer's mobile device 10, and computers 12,14,16.
  • Said computers 12,14,16 represent, respectively, a customer's computer 12, a garment retailer's computer 14, and a garment manufacturer's computer 16.
  • said devices 2,10,12,14,16 may alternatively be any electronic apparatus adapted to telematically connect to a web server 8, i.e. adapted to connect to the Internet network, e.g. smartphones, tablets, notebooks, pads, Smart TV's, electronic totems dedicated to virtual wardrobes (also known as "virtual mirrors"), and the like.
  • the storage means 4,6 comprise at least one database 4 and/or at least one data warehouse 6.
  • the web server 8 allows the devices 10,12,14,16 to gain access to the application server 2, to the database 4 and to the data warehouse 6, which are interconnected so that the application server 2 can retrieve data from the database 4 and from the data warehouse 6.
  • system 1 comprises a second computer 18 telematically connected to the garment manufacturer's computer 16.
  • the storage means 4,6 comprise anthropometric data relating to measurable parts of the user's body and garment measurement data.
  • the mobile device 10 and the customer's computer 12 may download the data residing in the storage means 4,6 to their own physical memories, so that they will not need to continuously access the network.
  • the storage means 4,6 were directly associated with the mobile device 10 and with the customer's computer 12.
  • the data traffic from the web server 8 to the mobile device 10 and/or to the customer's computer 12 (which data, however, will still come from the database 4 and from the data warehouse 6) will decrease considerably; this condition is especially useful when a user connects to the system 1 via a data connection over a telephone network, e.g. by means of the mobile device 10 with a 3G (“Third Generation”) or 4G (“Fourth Generation”) connection.
  • the method according to the present invention is implemented through a computer product which can be loaded into a memory of said device 2,10,12 and which comprises portions of software code adapted to implement said method.
  • the computer product is executed on the application server 2.
  • Said system 1 represents, therefore, a so-called “web-based” or “server-side” solution, wherein a user gains access to a portal or a site, whether public or private, by means of the mobile device 10 and/or the customer's computer 12, which act as "clients”.
  • the retailer's computer 14 and the manufacturer's computer 16 also act as "clients". It is important to specify that retailers and manufacturers may be the same entity acting upon the system 1.
  • EVA computer-based platform of a virtual wardrobe implementing the method according to the present invention. Said platform will hereafter be referred to as "EVA”.
  • the “EVA” platform compares the garment's measurements with those of the customers/users' bodies, recommending the size that will best fit them. To do so, it uses the method of the present invention in order to determine a fitting index of a garment for a customer/user. Furthermore, it allows displaying a three-dimensional model (also known as "avatar") of the customer/user, virtually wearing the chosen garments (which are virtual as well).
  • the "EVA” platform is accessible through a web interface and also through applications executable in the devices 10,12,14,16.
  • the application server 2 will no longer be necessary in the system 1; therefore, the web server 8 will be directly connected to the database 4 and to the data warehouse 6, and will handle all requests made by the devices 10,12,14,16 acting as clients.
  • the "EVA" platform can accommodate different types of users, particularly manufacturers, retailers and customers. Manufacturers are users that enter the data of their products into the platform, retailers are users that sell the products through their own web sites, and customers are final users who want to buy garments and/or accessories.
  • Manufacturers can subscribe to the "EVA” platform through a web page dedicated to user registration, gaining access thereto by means of a manufacturer's computer 16. Once a manufacturer has registered, the "EVA” platform will enter the manufacturer into a category that will best define it, e.g. "Big Manufacturer”, “Small Manufacturer”, “Manufacturer at Risk”, and so on.
  • a “Manufacturer at Risk” is a manufacturer offering low tailoring accuracy or having a tendency towards sales instability, which could lead it to close its account on the "EVA” platform, or having other parameters (retailers' feedback) that the platform can evaluate in order to deeply understand its behaviour. Each manufacturer thus obtains an "account”.
  • Each category has specific access rights as to the services of the "EVA" platform, so that the whole manufacturers' dynamics can be customized in the best possible manner.
  • a manufacturer's account is associated with an e-mail address, which is used as a univocal identifier for every manufacturer, and a private password.
  • the activities of large companies can be subdivided into many departments and even into many countries, and therefore the account may, if necessary, be split into a number of sub-accounts with specific access rights.
  • the "EVA” platform allows manufacturers to manage their information (manufacturer name, web site, address, legal data, etc.) and keep it up-to-date. They can also specify an IP ("Internet Protocol”) address, or a class of IP addresses, for the platform to check authorized IP addresses in order to improve the level of security.
  • IP Internet Protocol
  • General information includes, for example, product name, product code (there may be different codes for the same product because of the availability of different colours and sizes), garment type (e.g. shoes, trousers, jewels, hats, tee-shirts, shirts, coats, etc.), photo, material type (e.g. wool, cotton, viscose, elastene, etc.), and description (also in different languages).
  • This kind of general information can be downloaded by a retailer to its site and shown to the final customer.
  • Garment measurement information include, for example, the size name, all measurements that are necessary for defining a type of garment (some are mandatory and some are optional), and the measurements of a test model referred to a single size.
  • a test model is, for example, the body of a physical person or a dummy used by manufacturers for designing a garment.
  • the garment is tested on a test model whose measurements correspond to a specific size; knowing the anthropometric measurements of the test model and the measurements of the garment, the method according to the present invention can take them into account in order to determine the fitting index, and hence the best size for a customer.
  • the following will describe in detail how the anthropometric measurements of the manufacturer's test model are used for determining the fitting index of the garment in accordance with the present invention.
  • the "EVA” platform includes a CAD ("Computer- Aided Design”) analysis algorithm.
  • the CAD analysis algorithm receives a CAD file, generated by designers for each product or garment, and analyzes it in order to retrieve the necessary measurements to be supplied to the "EVA” platform.
  • manufacturers load the CAD file of the garment on the "EVA” platform, and the CAD analysis algorithm, which resides, for example, on the application server 2, converts the CAD file into garment measurement data, in particular relating to the measurements required for determining the fitting index.
  • the CAD file comprises the different parts that make up the virtual garment, and such parts may be either two-dimensional (2D) or three-dimensional (3D).
  • Such measurement data are then stored into the storage means 4,6, particularly into the database 4 and the data warehouse 6.
  • the algorithm may either delete it or keep it stored in the database 4 or in the data warehouse 6 for possible future processing.
  • the system 1 may have the second computer 18, which is telematically connected to the manufacturer's computer 16, directly execute the CAD analysis algorithm, so that the manufacturers themselves will convert their CAD files and will then enter the measurements required for each garment on the "EVA” platform. Manufacturers can also load the test model's anthropometric data on the "EVA” platform.
  • the CAD analysis algorithm automatically extracts the garment measurements from the corresponding (2D or 3D) CAD file.
  • the algorithm needs to know how to interpret the sewing lines on the drawing of the garment from the CAD file.
  • the first step involves recognizing one or more parts of the garment, e.g. the sleeve, the leg, the front bust, etc.
  • the algorithm recognizes the general shape of a part of the garment by using a second shape recognition algorithm, e.g. "Shape tree” or the like. Shape recognition algorithms are per se known, but in this case one of them is modified to be adapted for recognition of 2D or 3D models of garments.
  • the CAD analysis algorithm will analyze the curves of the different parts of the garment and will recognize the sewing lines in order to be able to connect said parts together and virtually reassemble the garment, i.e. those parts that can be sewn together, e.g. the cuff and the sleeve of a shirt.
  • the "EVA" platform can supply the CAD analysis algorithm to the manufacturer, allowing the latter to quickly and intuitively assign a shape recognition to each garment part and to position every part in accordance with a logical arrangement of the set of garment parts.
  • the CAD analysis algorithm draws a longitudinal line at the centre of the garment, which will then be used as a reference for retrieving the garment measurements. Finally, it recognizes the upper and lower parts of the garment and all those parts that are important for the measurement process. At the end of the analysis step, the CAD analysis algorithm will start retrieving the garment measurements, in particular those which will be necessary for subsequently determining the fitting index of the garment with reference to the model of a user's body.
  • the other data that the "EVA" platforms requires from the manufacturer concern the measurements of the test model, e.g. the body of a physical person or a dummy used by manufacturers for designing a garment.
  • the design is based on a single reference size, e.g. the Italian 40 size.
  • the required set of measurements includes the measurements of each part of the body (e.g. the waist) relative to a reference point (e.g. the shoulders). In this way, the measurements of the test model can be directly compared with those of the garment for the reference size, whereas for the other sizes a proportionality relation is used.
  • Said proportionality relation indicates, for example, that if in the Italian 40 size the length of the garment is, for example, 100 cm, and the measurement of the waist from the shoulders of the test model is 30 cm, then for the Italian 44 size, wherein the length of the garment is, for example 150 cm, the measurement of the waist from the shoulders of the test model will be 45 cm, i.e. the following calculation is made:
  • the CAD analysis algorithm determines the points and lines of the garment where the body part should exactly end (e.g. the garment edges or the sewing lines), and also a plurality of points with a predetermined pitch in the proximity of the edges. For example, other ten points are also measured, with a pitch of 1 cm.
  • the garment measurements detected will have values between 25 cm and 35 cm with a pitch of 1 cm, i.e. 1 1 garment measurements will be retrieved from the CAD file for each edge of a given part of the garment, corresponding to a part of the body.
  • the CAD analysis algorithm will enter all measurements retrieved from the CAD file of the garment into the storage means 4,6.
  • manufacturers have access to some privacy management tools allowing them to control the access to the data supplied to the platform.
  • a first privacy protection tool is the retailers "black list”.
  • a manufacturer can select a retailer on the "EVA” platform that will not be allowed access to the manufacturer's data.
  • manufacturers will receive a notification, e.g. via e-mail, informing them about the presence of a new retailer. Therefore, even after the manufacturer registration step, a manufacturer can set a retailer as undesirable, i.e. the latter will not be allowed access to a manufacturer's data.
  • Each manufacturer can thus manage a retailers "black list” that can then be updated at any time.
  • manufacturers can also manage a "white list” of retailers that are allowed access to the manufacturers' garment measurement data and test models.
  • each manufacturer can define each one of its products as private or public. For a private product, only some retailers included in the "white list” are allowed access to the measurement data and can obtain, for example, exclusive rights of sale for a collection of garments.
  • the web interface of the "EVA" platform that is displayed on a manufacturer's computer 16 shows the business trend by means of graphs and illustrations derived from the data contained in the storage means 4,6. For example, predefined graphs can be displayed, which show the geographical distribution of sales, or the average customer age, etc. Furthermore, a manufacturer can also create a customized graph by selecting the data to be shown in graphic and/or table format.
  • the "EVA” platform As far as retailers are concerned, they can, as aforesaid for manufacturers, gain access to the "EVA” platform through a customized web interface, subject to registration. Each retailer is assigned a category that best defines it, e.g. "Big Retailer”, “Medium Retailer”, “Small Retailer”, “Retailer at Risk”, and so on. For a “Retailer at Risk”, the "EVA” platform evaluates its sales and/or the feedback from customers/users concerning that retailer.
  • An e-mail address and a password are associated with each retailer registration account.
  • Retailers just like manufacturers, also have the possibility of splitting their accounts into sub-accounts with specific access rights. Retailer have access to an information management page that allows them to review or update the information about their companies. Retailers can also make use of IP address filtering to improve the security of their accounts.
  • Both services are mainly executable through queries directed to the web server 8 and to the application server 2.
  • the relationship between the "EVA" platform and the retailers is controlled by a contract which is defined by its period of validity and by the total number of queries that can be made. From the contract web interface, retailers are enabled' to display the status of their contracts and renew them, e.g. by providing the following information: contract start date, duration (months, years, etc.), number of allowed queries (or unlimited queries), contract payment date, restrictions to one product type (e.g. trousers only, shoes only, or no restrictions), promotional codes, and so on. Promotional codes can be sent to the "EVA" platform via e-mail and may affect the total price calculation; their effect on prices is printed on the retailer's page to allow the retailer to know the current offers.
  • the retailer After having completed the contract form, in accordance with the category it belongs to, the retailer has to pay for the requested services.
  • the retailer can view its contract status at any time on dedicated web pages of the "EVA" platform.
  • the retailer At the end of the period of validity of the contract, or when the specified number of queries have been made, the retailer will be notified via e-mail that the contract has expired or is about to expire; consequently, the retailer will have the possibility of renewing the same contract or requesting one for different "EVA" services.
  • Provision of product information is ensured by a specific web page that allows the retailer to search for a product stored in the storage means 4,6 (e.g. by setting search filters for manufacturer, garment type, season, etc.), and then to download a file or a folder containing descriptions, photos, product codes and other useful information about the searched garments.
  • the "EVA" platform may notify the retailers (e.g. via e-mail or by displaying notifications on one of the web pages that are visible to the retailer, etc.) that a manufacturer has modified the data of its products, so that retailers can make a new search and download new information about the desired garments.
  • each retailer After registration, each retailer is enabled to download from its own "EVA” interface a retailer software portion that must be published on its web site and that connects the latter to the size recommendation service on the "EVA” platform. Said retailer software portion is displayed on every web page of the retailer's site that displays the fitting index of the garment selected by a user, and therefore also the correct size corresponding to his/her measurements.
  • FIG. 2a there is shown one example of a web page of a retailer's web site that graphically displays the fitting index 21 and the recommended size 23 provided by the "EVA" platform.
  • FIG. 2b there is shown a further example of a web page of a retailer's web site containing a further graphic display of the fitting index 21 for every single body part.
  • the web page of the retailer's site receives a univocal customer code and transmits it to the web server 8 in order to make it available to the "EVA" platform.
  • the retailer's web site also sends to the platform the retailer code, its password, and the product code selected by the user.
  • the "EVA” platform will return a value relating to the fitting index and the recommended size for the customer involved.
  • the "EVA” platform in addition to recommending the correct size, the "EVA” platform also indicates the next smaller and bigger sizes.
  • Some fitting recommendations are also shown (in both graphical and numerical forms) in regard to the customer's body parts. For example, a typical recommendation may be "Neck: tight”, or “Hips: loose”, “Shoulders: comfortable”, an so on.
  • a customer can consider all the recommendations made by the "EVA" platform and displayed on the web page of the retailer's site, and then make his/her personal decision. Also, the customer can verify the provided recommendations by means of his/her 3D avatar wearing the virtual garment selected on the retailer's web site.
  • the three-dimensional model of the customer can move to simulate ordinary gestures, and the customer also has the opportunity to select garments already purchased in order to combine them with other garments to be virtually worn by the three- dimensional model. The method for determining the fitting index of a garment according to the present invention will be described in more detail below.
  • the anthropometric data relating to measurable body parts of a customer may comprise, for example, the distance of the hand from the ground when the arm is stretched along the body (this measurement is useful for selecting the correct golf club for the customer), or the seat size (useful for a horse saddle), and so on.
  • retailers can consult various information through their web interface of the "EVA” platform, e.g. the history of the requests made, with date, IP of origin, contract in force, and so on. They can also consult some graphs, tables and illustrations pertaining to their business, e.g. sales, selected manufacturers, purchasing customers, and so on. All this information is very useful for statistical purposes and for improving the retailers' commercial strategy.
  • customers also have the possibility of splitting their own account into subaccounts with specific access rights, just like manufacturers and retailers; for example, parents can manage sub-account for underage children.
  • the customer has access to a limited part of the web interface dedicated to him/her, until he/she confirms his/her account by clicking on a mail automatically sent to his/her e-mail address.
  • the above-mentioned limited part of the web interface provides no services, and therefore the customer will not be allowed to see or virtually wear or buy any garments via the "EVA" platform.
  • a dedicated profile page e.g. name, surname, residence address, home address, date of birth, and so on.
  • the univocal customer code is also shown on the same web page of the profile.
  • the customer code allows using the services of the "EVA” platform through other web sites or shops, as aforementioned in the description part dedicated to retailers.
  • Customers have also access to a web page of the "EVA” platform dedicated to measurements, which offers them the possibility of displaying, adding, updating and deleting their anthropometric data, i.e. the measurements of their own body.
  • customers have also access to a web page that offers the possibility of displaying a three-dimensional, or 3D, model 25 of the customer, the shape of which depends on the measurements entered by the customer him/herself.
  • the three-dimensional model 25, also referred to as "avatar” reflects the customer's anatomical figure with an approximation that increases with the number of body measurements entered by the customer.
  • the "EVA" platforms provides a default three-dimensional model 25 associated with the customer.
  • the three-dimensional model 25 can then be updated through the dedicated web page. This update operation can be carried out by the customer by simply indicating, via a pointer displayed on his/her device 10,12, one of the lines 27 shown on the three-dimensional model 25.
  • the customer will enter the measurement about the selected line 27, and the value of that measurement will be sent by the device 10,12 to the web server 8 that is handling the access request. If access is allowed, then the measurement datum will be supplied to the application server 2, which will take care of storing it into the storage means 4,6, in particular into a database 4 and a data warehouse 6.
  • the lines 27 may have different colours to indicate whether the measurement is present in the memory or not; for example, if the measurement of a line 27 has been entered, then the line 27 on the three-dimensional model 25 will be green; otherwise, i.e. if it has not yet been entered, it will be red.
  • the customer also has the possibility of launching a guided procedure helping him/her enter measurements for a specific garment. For example, a customer selects a garment that he/she wants to buy, and the "EVA" platform realizes that some customer's measurements required for the comparison between the three-dimensional model 25 and the virtual model of the garment are not present in the memory. In this case, the "EVA" platform will suggest to the customer which measurements must be entered to ensure that such comparison will be made correctly. It is clear that the "EVA” platform realizes that some measurements are missing by making a direct comparison between the existing measurements of the customer and the measurements of the selected garment. A percentage of missing measurements can be displayed in graphic form, e.g. via a bar- shaped indicator.
  • the processing of the three-dimensional model 25 is based on a group analysis, also referred to as "clustering".
  • Said group analysis consists of selecting and grouping homogeneous elements in a data set. Clustering techniques are based on measurements relating to similarity between elements. Therefore, in the case of the "EVA" platform, said group analysis consists of analyzing a set of pre-built three-dimensional models 25 as a statistical representation of a population, and associating with the customer the most similar one (in accordance with a similarity criterion) on the basis of his/her anthropometric measurements (data). The similarity criterion is based on a calculation of the distance of the measurements of the customer from those of the three-dimensional model. In order to improve the approximation of the three-dimensional representation of the model 25, the "EVA" platform forms a large number of groups, e.g. 30,000. The entry of new customers, along with their measurements, will contribute to increasing the number of model groups.
  • the platform analyses a large set of parameters (measurements, age, gender, weight, height, etc.) useful for determining similarities of at least one of them.
  • a three-dimensional model 25 will correspond which will ideally be placed at the centre of the group.
  • a distance is associated with the difference between parameter values (e.g. the waist circumference measurement) belonging to two different sets.
  • An Euclidean distance between the two sets is then calculated based on the dimensions represented by the parameters (e.g. upper bust dimension, waist circumference dimension, etc.).
  • a bs is the upper bust measurement in the set A
  • Bb s is the upper bust measurement in the set B
  • a v is the waist circumference measurement in the set A
  • B v is the waist circumference measurement in the set B.
  • the value of the Euclidean distance is calculated between each set, so that one can evaluate their mutual similarity. It is worth pointing out that the shorter the Euclidean distance, the greater the similarity between the sets taken into account.
  • the "EVA" platform will recalculate the Euclidean distance and may associate the customer with another three-dimensional model 25. The latter is thus used for representing the customer graphically on the platform's web interface, and is the user's avatar.
  • model groups are adaptive on the basis of the time- variant existing population.
  • the customer can set the colour of the skin of the three-dimensional model 25, a photo, his/her weight, and so on.
  • the photo can be used, for example, to replace the default face and improve the resemblance to the customer.
  • This functionality is provided by using an algorithm that analyzes the distance between many reference points (e.g. nose, eyes, etc.) on the customer's face, so as to interpret it as a three-dimensional face. This algorithm may need many face images/photos, captured from different angles.
  • the user may create his/her own face by using a number of tools, with the possibility of superimposing it on the three-dimensional model 25.
  • the three-dimensional model 25 can be exported to other suitable platforms.
  • a videogame console connected to the Internet may request the customer code to the "EVA" platform, in which case the latter will return information about the customer's three-dimensional model 25.
  • the videogame console will be able to use the three-dimensional model 25 within functionalities of its own or within videogames.
  • each customer can manually enter his/her measurements on a web page of the "EVA" platform dedicated to measurement entry.
  • body measurements can be entered automatically via scanning systems, anthropometric measurement cabins, three-dimensional shape recognition systems and other detection systems, including an electronic tape 20.
  • a customer/user of the "EVA" platform can use the electronic tape 20 to detect and transmit to the platform (also via wireless communication) the measurements of his/her body by means of one of the devices 10,12 of the system 1.
  • the garments may be garments that have already been purchased during previous sessions, garments that have not been purchased yet, or garments already owned by the user.
  • the customer wishes to add his/her own garments to his/her virtual wardrobe, he/she can search for the garment on the "EVA” platform by specifying its brand, size, colour, season, collection type, and so on. Once the item has been found in the specific size of the customer's garment, so that it corresponds to the actual one of the customer, the latter can store it into his/her virtual wardrobe. Therefore, the "EVA” platform contains, for each customer, a list of garments that they own, and shows that list by means of the virtual wardrobe. In the virtual wardrobe, the customer can see the photos of his/her garment (e.g. loaded by the manufacturer together with its CAD file, its description, etc.), and can virtually try it on his/her three-dimensional model 25.
  • the "EVA” platform further comprises a customer preference learning algorithm that stores the choices made by the customer (e.g. the garments that he/she has bought) and processes such information for the purpose of recommending some garments that may fit him/her well.
  • the virtual wardrobe can notify the customer if one of his/her old garments, included in his/her virtual wardrobe, falls within the measurement parameters of the current three- dimensional model 25. To do so, the "EVA" platform frequently compares the measurements of the old garments (e.g. those that have not been virtually worn for more than 6 months) with the measurements of the current three-dimensional model 25.
  • the virtual wardrobe can be shared on the web, so that third parties can display the garments and the three-dimensional model 25, and possibly provide style recommendations to users of the "EVA” platform. It also recommends garments for specific events, e.g. work meeting, dinner with friends, mountain trip, and so on. In fact, by knowing the set of garments owned by the customer in the virtual wardrobe, the specific event, the place, the date, and the weather forecast, an algorithm can analyze such data to suggest to the user a perfect combination of garments suitable for that specific event. In order to obtain weather forecast data, the "EVA" platform makes a telematic query to a remote public server that provides weather forecast information (e.g. Foreca, AIRNow, etc.). The telematic query comprises data about the place, the date and the time of the event.
  • weather forecast information e.g. Foreca, AIRNow, etc.
  • the virtual wardrobe will store those garments that have been worn for a specific event, so that, should the same event or the same type of event happen again, it will be able to recommend garments that will be different from those that were used the previous time.
  • the customer is also offered the possibility of creating a "wish list” including the garments that he/she intends to buy and the sum that he/she is willing to spend.
  • the "EVA” platform utilizes the general information about the garments (e.g. product code, size, colour, etc.) and the sum of money that the customer is willing to spend in order to make a price search among the garments of the various retailers registered on the platform. If a garment is found the price of which meets the customer's economical expectations, then the "EVA" platform will recommend it to the customer.
  • the garments in the virtual wardrobe may also be exchanged among registered users.
  • This functionality puts a customer wanting to sell or give away a garment in contact with a customer wanting to buy it, i.e. a customer who has already entered that garment into his/her wish list.
  • a user wants to sell a garment he/she enters it into a "giveaway-list”.
  • the "EVA" platform will search the wish lists of other platform subscribers who live in a certain geographical area, e.g. within ten kilometers from the selling user's place of residence, for the garments included in the give-away list.
  • both users will receive a communication (pop-up on the platform's web page, e-mail, sms sent to mobile phone, etc.) notifying them that, respectively, a user wants to buy the garment and a user wants to sell the garment.
  • the fitting index and the recommended size obtained through the method according to the present invention are also shown in the virtual wardrobe.
  • the "EVA” platform works like a social network, wherein users can exchange information, in particular share their own virtual garments. Since all the anthropometric data of a user are associated with the customer code, users can share their own customer codes. It will thus be easy for a user to buy a garment for a friend on the social network, by simply knowing his/her customer code. This is because the "EVA" platform will suggest the fitting index and the correct size for the friend's body in accordance with the method of the present invention.
  • Every customer also has the possibility of displaying the evolution over time of his/her own measurements on a dedicated web page of the "EVA" platform.
  • the method according to the present invention provides for determining a fitting index of a garment based on anthropometric data of a user, said method comprising the steps of:
  • the step of determining the fitting index of the garment provides for carrying out a comparison between the anthropometric data of the user and the measurement data of the garment.
  • the method according to the present invention provides for determining a correct size of the garment as a function of the value of the associated fitting index.
  • the size with the highest fitting index is the one that best suits the shape of the user's body, i.e. the correct size for the user.
  • the correct size of the garment and the fitting index are then shown to the user on a web page of the "EVA" platform.
  • the style information it represents one or more parameters that are taken into account in order to determine the fitting index of the garment. It is clear that the more numerous the pieces of style information, and hence the body parts associated therewith, the better will be the evaluation of the fitting index.
  • the style information comprises data derived from an importance criterion associated with at least one part of the garment corresponding to a measurable part of the user's body.
  • the importance criterion can be represented, in practice, by at least one numerical value.
  • the importance of one part of the garment depends on the body part associated therewith. For example, if the leg measurement of a pair of trousers is too long, this will not be too important because the customer will afterwards be able to shorten the trousers' legs; on the other hand, if the trousers are too tight at the waist, then that measurement will be very important, because the customer will not be able to wear them, nor to modify them at a later time. Therefore, an importance value will be assigned to the length of the legs and another one to the trousers' waist circumference.
  • the importance criterion provides for calculating at least one importance factor, in particular two factors, for the garment, relating to at least one part of the user's body; a first factor "f-" when a measurement of said garment at a given body part is smaller than the measurement of said given body part, and second factor "f+" when said measurement of said garment at a given body part is greater than the measurement of said given body part.
  • Said first and second importance factors f- and f+ are useful, for example, when it is important to know if a size of a garment is too small, since such a condition might be a problem for the user. For example, if a belt is too large for the user's waist, it will still be wearable; if on the contrary it is too tight, it won't be wearable at all, thus being a worse option for the user.
  • Said first and second importance factors f- and f+ are used for multiplying the measurement difference between the garment and the user's body, for the purpose of obtaining a weighted average of the difference.
  • the style information further comprises a garment extensibility value.
  • the first and second importance factors f- and f+ may depend on said garment extensibility value.
  • extensibility it is meant herein the capability of a garment to let out when at least one external force is applied thereto.
  • the extensibility value is determined when the measurements of the test model turn out to be greater than those of the garment.
  • the style information further comprises a first comfort value of a manufacturer of the garment, calculated for every part of the body of the test model. Said first comfort value of said manufacturer is representative of a style that the manufacturer confers on the garment.
  • the first comfort value represents, therefore, the manufacturer's cut, i.e. the fitting that the manufacturer wants to confer on its article, perhaps dictated by stylistic choices.
  • Said first comfort value is determined by calculating a measurement difference between a measurable part of the garment and the corresponding part of the test model adopted by the manufacturer. Let us assume, for example, that the test model wears the 40 size of a garment, that the waist circumference of the test model is 80 cm, and that the waist circumference measurement of the garment is 100 cm. In such a situation, the method will calculate a waist comfort value of 25%, i.e. it will make the following mathematical calculation:
  • this calculates a first comfort value that indicates to what extent the garment measurements must be increased for the garment to best fit the customer, reflecting the style that the manufacturer wants to confer on the garment.
  • the style information comprises a second comfort value of a user, relating to a garment type (e.g. trousers, panties, shirts, tee-shirts, and so on).
  • a garment type e.g. trousers, panties, shirts, tee-shirts, and so on.
  • Said second comfort value represents a customer's preference regarding his/her comfort (e.g. loose at the knees, tight at the neck, close-fitting at the hips, and so on). Therefore, the method according to the present invention also provides for taking into account such customer's comfort preferences, which will balance the manufacturer's first comfort value calculated from the manufacturer's garment measurement data and from the measurements of the test model, as already described.
  • the second comfort value of a user is obtained from garment measurement data, in particular from the measurements of garments that he/she bought during previous sessions on the web platform and/or on an application.
  • a customer buys a first pair of trousers having a manufacturer's first waist comfort value of 24%), a second pair of trousers having a manufacturer's first waist comfort value of 26%, and a third pair of trousers having a manufacturer's first waist comfort value of 25%.
  • the method according to the present invention will calculate the customer's second comfort value, i.e. an average comfort value of the purchased garments; in this case, the second comfort value will be 25%. This second comfort value will correspond, therefore, to a customer's preference.
  • the "EVA” platform will recommend a pair of trousers having a comfort value around 25%, i.e. the one closest to the customer's second comfort value.
  • the second comfort value of a user can be obtained from measurement data manually entered by the user on the web platform and/or on an application.
  • said second comfort value of the customer can be taken into account by calculating the mean between the manufacturer's first comfort value and the second comfort value pertaining to the customer's preference.
  • the fitting index calculation can be made when the user requests it through a web page of the "EVA” platform.
  • the "EVA” platform has at its disposal the customer's anthropometric data (stored in the storage means 4,6), i.e. the measurements of his/her body, measurement data for all sizes of the garment that the customer wants to virtually wear, the manufacturer's first comfort value, possibly the user's second comfort value, and importance factors for that garment relating to all body parts.
  • the method according to the present invention provides for making a comparison for at least one body part and for at least one garment size.
  • the method After having calculated the measurement differences for each body part, the method will determine the fitting index of the garment by applying the importance criterion, i.e. by applying the importance factors to at least one of the differences just calculated and adding them according to a weighted average formula, e.g. the Euclidean distance formula.
  • a weighted average formula e.g. the Euclidean distance formula.
  • the Euclidean distance will then be calculated as follows: 051 * 0.8)* +Q-6J * 0.6)* where &iffmta is the measurement difference value for the waist, +vit is the positive importance factor for the waist, Di ffbs is the measurement difference value for the upper bust, and /— bs is the negative importance factor for the upper bust.
  • the first factor f+ will be taken into account when the difference has a positive value, corresponding to a garment measurement which is greater than that of the body part, possibly increased by the manufacturer's first comfort value and/or the customer's second comfort value, whereas the second factor f- will be taken into account when the difference has a negative value, corresponding to a garment measurement which is smaller than that of the body part, possibly increased by the manufacturer's first comfort value and/or the customer's second comfort value.
  • the method determines a weighted average of the measurement differences, in particular by exploiting the Euclidean distance formula, for every measurable body part and for every garment size selected by the user, and returns the fitting index, in particular the three best values thereof.
  • a first advantage of the method, device and system according to the present invention is that they provide a better evaluation of the correct size for a user.
  • a second advantage of the method, device and system according to the present invention is that virtual garments are visually combined with a three-dimensional model of a user, so that the latter can effectively verify how the chosen garment will fit.
  • the method, device and system for determining a fitting index of a garment based on anthropometric data of a user may be subject to many possible variations without departing from the novelty spirit of the inventive idea; it is also clear that in the practical implementation of the invention the illustrated details may have different shapes or be replaced with other technically equivalent elements.
  • the present invention is not limited to a method, a device and a system for determining a fitting index of a garment based on anthropometric data of a user, but may be subject to many modifications, improvements or replacements of equivalent parts and elements without departing from the novelty spirit of the inventive idea, as clearly specified in the following claims.

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Abstract

L'invention porte sur un dispositif et un système qui permettent de déterminer un indice d'ajustage de vêtement sur la base de données anthropométriques d'un utilisateur, lequel procédé consiste à : lire lesdites données anthropométriques qui se rapportent à des parties mesurables du corps de l'utilisateur dans des moyens de stockage (4,6) par le biais d'au moins un dispositif (2,10,12,14,16) associé aux moyens de stockage (4,6) ; et lire des données de mesure du vêtement dans lesdits moyens de stockage (4,6) par le biais dudit au moins un dispositif (2,10,12,14,16) associé auxdits moyens de stockage (4,6). Le procédé selon l'invention est caractérisé en ce qu'il permet de déterminer, par le biais dudit au moins un dispositif (2,10,12,14,16), un indice d'ajustage du vêtement sur la base des données anthropométriques de l'utilisateur, des données de mesure du vêtement et d'au moins une information de style concernant le vêtement.
PCT/IB2014/063414 2013-07-26 2014-07-25 Procédé permettant de déterminer un indice d'ajustage de vêtement sur la base de données anthropométriques d'un utilisateur, et dispositif et système associés WO2015011678A1 (fr)

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EP14780568.3A EP3025288A1 (fr) 2013-07-26 2014-07-25 Procédé permettant de déterminer un indice d'ajustage de vêtement sur la base de données anthropométriques d'un utilisateur, et dispositif et système associés

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ITTO2013A000634 2013-07-26
IT000634A ITTO20130634A1 (it) 2013-07-26 2013-07-26 Metodo per determinare un indice di vestibilita' di un indumento in base a dati antropometrici di un utente, e relativi dispositivo e sistema

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Publication number Priority date Publication date Assignee Title
CN108564427A (zh) * 2017-12-21 2018-09-21 广东鸿威国际会展集团有限公司 向观看虚拟三维展示的用户推荐产品或服务的系统及方法
CN113945165A (zh) * 2021-10-19 2022-01-18 武汉柏维娅服饰有限公司 一种服装定制用人体数据测量装置及测量方法
WO2022251902A1 (fr) * 2021-06-01 2022-12-08 Buzzworks Pty Ltd Plateforme d'intégration de systèmes de soldat visualisés en trois dimensions

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Publication number Priority date Publication date Assignee Title
US20040093105A1 (en) * 2001-07-20 2004-05-13 Holloway Robert Gordon Ernest Method for custom fitting of apparel
US20110146038A1 (en) * 2009-12-22 2011-06-23 Ko Young-A Method for Creating Panels for a Garment
CN102521878A (zh) * 2011-12-20 2012-06-27 恒源祥（集团）有限公司 可编程三维人体建模和人体测量系统和方法

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040093105A1 (en) * 2001-07-20 2004-05-13 Holloway Robert Gordon Ernest Method for custom fitting of apparel
US20110146038A1 (en) * 2009-12-22 2011-06-23 Ko Young-A Method for Creating Panels for a Garment
CN102521878A (zh) * 2011-12-20 2012-06-27 恒源祥（集团）有限公司 可编程三维人体建模和人体测量系统和方法

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108564427A (zh) * 2017-12-21 2018-09-21 广东鸿威国际会展集团有限公司 向观看虚拟三维展示的用户推荐产品或服务的系统及方法
WO2022251902A1 (fr) * 2021-06-01 2022-12-08 Buzzworks Pty Ltd Plateforme d'intégration de systèmes de soldat visualisés en trois dimensions
CN113945165A (zh) * 2021-10-19 2022-01-18 武汉柏维娅服饰有限公司 一种服装定制用人体数据测量装置及测量方法

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