CN111242725A - Clothing recommendation method and device based on human body size acquisition and ordering method - Google Patents

Clothing recommendation method and device based on human body size acquisition and ordering method Download PDF

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CN111242725A
CN111242725A CN202010010518.9A CN202010010518A CN111242725A CN 111242725 A CN111242725 A CN 111242725A CN 202010010518 A CN202010010518 A CN 202010010518A CN 111242725 A CN111242725 A CN 111242725A
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厉旗
尚笑梅
乐逸朦
蔡兰
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Leacheng Apparel Co ltd
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Abstract

The invention provides a garment recommendation method, a device and a ordering method based on human body size acquisition, wherein the garment recommendation method comprises the following steps: collecting the human body size of a user; classifying the size of the user according to the user information and the size of the human body of the user; and recommending the clothing under the size to the user based on the size of the user and the body size of the user. The clothing recommendation method realizes the classification of the size of the user based on the actual body size of the user, and recommends the clothing with the proper ready-made clothing specification to the user according to the body size conforming to the size, thereby being beneficial to saving the time for the user to select and purchase the proper clothing and improving the shopping pleasure. Meanwhile, the integrated ordering can be completed based on the selected clothes, and the shopping experience is optimized.

Description

Clothing recommendation method and device based on human body size acquisition and ordering method
Technical Field
The invention relates to the technical field of human body size measurement, in particular to a garment recommendation method and device based on human body size acquisition and an ordering method.
Background
At present, with the development of internet technology, all industries rely on internet technology to realize information communication and online interaction. Online shopping is an important aspect of internet technology development. However, for the clothes depending on the user experience, the user can only select the clothes according to the preference and the conventional size of the clothes when purchasing the clothes on the network, and the shortage of the actual experience links often results in purchasing the clothes with improper size or improper wearing style. Therefore, shopping experience is influenced, and time of the user is wasted in communicating goods return. Therefore, how to provide a proper garment for a user and integrally solve the problem of online shopping for the user needs to provide a further solution.
Disclosure of Invention
The invention aims to provide a clothing recommendation method, a device and a ordering method based on human body size acquisition, so as to overcome the defects in the prior art.
In order to solve the technical problems, the technical scheme of the invention is as follows:
a clothing recommendation method based on human body size acquisition comprises the following steps:
collecting the human body size of a user;
classifying the size of the user according to the user information and the size of the human body of the user;
and recommending the clothing under the size to the user based on the size of the user and the body size of the user.
As an improvement of the clothing recommendation method, the body size of the user is acquired through a body size measuring terminal arranged in a fitting room, or the body size of the user is acquired in a mode of direct input by the user.
As an improvement of the clothing recommendation method of the invention, the body size of the user is one or more or all of the following data:
height, neck circumference, total shoulder width, chest width, back width, arm circumference, upper arm circumference, arm length, chest circumference, lower chest circumference, shoulder neck point to nipple point length, distance between two nipple points, waist circumference height, waist to hip length, back and waist length, abdomen circumference, abdomen position, hip circumference, and thigh circumference.
As an improvement of the clothing recommendation method, the step of classifying the size of the user according to the user information and the body size of the user comprises the following steps:
determining a clothing size standard corresponding to a user;
determining whether to adopt a male body standard or a female body standard according to the gender of the user based on the determined clothing size standard;
and determining the size according to the human body size of the user, and classifying the size.
As an improvement of the clothing recommendation method, the corresponding clothing size standard is determined according to the nationality or the region of the user; and determining the size, the type and the body type according to the height, the chest circumference, the net size of the waist and the chest-waist difference of the user.
As an improvement of the clothing recommendation method, the method for recommending clothing under the size to the user based on the size of the user and the size of the human body of the user comprises the following steps:
and converting the body size of the user meeting the size standard into the ready-made clothes specification of the clothes under the corresponding size, and recommending the clothes meeting the ready-made clothes specification to the user.
As an improvement of the clothing recommendation method, the garment specification of the clothing under the size is the body size of the user meeting the size standard plus a first conversion parameter plus a second conversion parameter, wherein the first conversion parameter corresponds to the format of the clothing, and the second conversion parameter corresponds to the correction data of the clothing size.
As an improvement of the clothing recommendation method of the present invention, recommending the clothing of the corresponding size to the user based on the size of the user and the size of the human body of the user further includes:
matching personalized requirements recommendation clothing of a user, the personalized requirements comprising: style, price range, age bracket, skin color, brand, use occasion, washing mode, etc.
In order to solve the technical problems, the technical scheme of the invention is as follows:
a garment recommendation device based on body size acquisition, comprising: a memory and a processor; the processor is configured to execute the body size acquisition-based garment recommendation method as described above based on instructions stored in the memory.
In order to solve the technical problems, the technical scheme of the invention is as follows:
an ordering method based on human body size acquisition, comprising the following steps:
pushing the clothing information by adopting the clothing recommendation method;
receiving a shopping demand generated based on the pushed clothing information;
and sending the finished list information according to the filled shopping information.
Compared with the prior art, the invention has the beneficial effects that: the clothing recommendation method realizes the classification of the size of the user based on the actual body size of the user, and recommends the clothing with the proper ready-made clothing specification to the user according to the body size conforming to the size, thereby being beneficial to saving the time for the user to select and purchase the proper clothing and improving the shopping pleasure. Meanwhile, the integrated ordering can be completed based on the selected clothes, and the shopping experience is optimized.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flowchart of a clothing recommendation method based on human body dimension collection according to an embodiment of the present invention;
FIG. 2 is a flowchart of an embodiment of a method for ordering based on human body dimension collection according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
One of the objectives of the present invention is to provide a clothing recommendation method based on human body size acquisition, which is characterized in that the clothing recommendation method comprises:
collecting the human body size of a user; classifying the size of the user according to the user information and the size of the human body of the user; and recommending the clothing under the size to the user based on the size of the user and the body size of the user. Compared with the prior art, the mode of selecting the clothes only by depending on the hobby and the conventional size of the clothes can recommend the proper clothes based on the actual size of the user, is beneficial to saving the time for the user to select the proper clothes and improves the shopping pleasure.
In one embodiment of the present invention, as shown in fig. 1, the clothing recommendation method includes:
and collecting the human body size of the user. In one embodiment, the body size of the user is collected through a body size measuring terminal provided in the fitting room, or the body size of the user is collected through a direct input manner of the user.
The first mode of gathering user's human size has realistic meaning. Specifically, a size acquisition device is installed in a fitting room of a brand entity store, when a consumer enters the entity store and fits, the acquisition device collects body size information of the human body and generates a two-dimensional code, then the user can select whether to store the two-dimensional code or send the size information to a mailbox specified by the user according to the needs of the user, corresponding selection is performed on a terminal, if yes is selected, the two-dimensional code is transmitted to the mobile device of the user or measurement information is sent to the user through the mailbox and destroyed on a background of the acquisition device, and if no, the two-dimensional code is directly destroyed or does not have a mail sending function.
So, for the user, through placing 3D human size collection equipment at the fitting room of large brand shop, measurement information appears with the form of two-dimensional code or sends measurement information for the user through the mailbox, and the consumer can decide whether oneself is kept according to the wish. Data is not retained on the measurement device. On one hand, the embarrassment that the consumer directly takes off the clothes for measurement can be eliminated through the fitting room, and the data confidentiality of the measuring equipment can also increase the trust of the consumer.
The collected human body size of the user is one or more or all of the following data:
height, neck circumference, total shoulder width, chest width, back width, arm circumference, upper arm circumference, arm length, chest circumference, lower chest circumference, shoulder neck point to nipple point length, distance between two nipple points, waist circumference height, waist to hip length, back and waist length, abdomen circumference, abdomen position, hip circumference, and thigh circumference.
And classifying the size of the user according to the user information and the human body size of the user.
In one embodiment, classifying the size of the user according to the user information and the size of the human body of the user includes: determining a clothing size standard corresponding to a user; determining whether to adopt a male body standard or a female body standard according to the gender of the user based on the determined clothing size standard; and determining the size according to the human body size of the user, and classifying the size. The corresponding clothing size standard can be determined according to the nationality or region of the user. When the size is determined, the size, the shape and the body type can be determined according to the height, the chest circumference, the net size of the waist and the chest-waist difference of the user.
For example, when the user is a Chinese, GB/T1335.1/1335.2 is selected, and then the corresponding male or female standard is selected according to the male and female, and the size is classified according to the height, the chest circumference, the net size of waist and the chest-waist difference to determine the size, the shape and the body type. The height size is determined by chest circumference for upper garment and waist circumference for lower garment, and the chest-waist difference is determined by body type Y/A/B/C, for example, 160/84A for female body upper garment refers to height 160CM, chest circumference 84CM, body type A, i.e. chest-waist difference is 14-18 CM. According to the national standard GB/T1335.2 female No. 5.4 series, people belonging to No. 160/84A type mean that the chest-waist difference of the A type is 14-18 CM, the net height is 157.5-162.5 CM, the net chest circumference is 82-86 CM, the net waist circumference is 66-70 CM, and if the above conditions are met, the female is classified into the female with No. 160/84A, so that the size of the human body is assigned.
And recommending the clothing under the size to the user based on the size of the user and the body size of the user.
This is done in consideration of the fact that the control part value table is an average value of parts in the body type population corresponding to each model according to each model series in GB/T1335. After the sizes of the human body parts are classified into the sizes, the sizes of the human body parts are classified in a one-to-one correspondence mode according to the numerical value table of the serial control parts of the sizes, and the human body size conversion meeting the size standard is formed.
In one embodiment, recommending the clothing under the size to the user based on the size of the user and the size of the human body of the user comprises: and converting the body size of the user meeting the size standard into the ready-made clothes specification of the clothes under the corresponding size, and recommending the clothes meeting the ready-made clothes specification to the user.
The technical idea of this step is to solve the relationship between the body size converted to fit the size standard and the ready-made garment specification, which relates to the style of the garment (shirt, suit, vest, down, dress, T-shirt, pants, jeans, half-length, etc.), style (tight, fit, loose, etc.), gender of the wearer. The three factors determine the design parameters of converting the human body size meeting the size standard into the garment size. And after the human body sizes are classified, the average body size and the design parameters of the size standard form a ready-made clothes specification, and the ready-made clothes specification is matched with the ready-made clothes sizes of the corresponding styles and styles. The garment size of the aptamer corresponding to the size of the human body can be realized.
Specifically, the garment specification of the garment under the size is equal to the body size of the user meeting the size standard plus the first conversion parameter ± the second conversion parameter. The first conversion parameter corresponds to the format of the garment, and the second conversion parameter corresponds to the correction data of the garment size. The style is a shirt, a western-style clothes, a waistcoat, a down jacket, a one-piece dress, a T-shirt, western-style pants, jeans, a half-length dress and the like, the style is tight, trimmed, fit, loose and the like, the correction data is an error between the size of the ready-made clothes and the size of the user after classification, and the error is an error range within which the size of each part does not jump by taking the grade difference of each part as the size of the control part, so that the conversion matching between the two can be realized through the first conversion parameter and the second conversion parameter.
For example, the main specification parameters of the shirt during plate making are collar size, shoulder width, chest size, clothing length and sleeve length, and the five clothing sizes are based on the sizes of several parts of the collar size, total shoulder width, height, arm length and back and waist length on the human body, and then different looseness parameters are set according to the fit, loose and comfortable, body-building style, gender, age and the like of the shirt, so that the finished clothing specification size is formed.
Table 1 below exemplifies a men's shirt. The other styles of clothes also have corresponding conversion formulas.
Table 1 conversion of men's net size to units of men's shirt ready-made specifications table (170/88A): CM (compact message processor)
Figure BDA0002356979400000081
Based on the size of the user and the size of the human body of the user, recommending the clothing under the size to the user further comprises:
matching personalized requirements recommendation clothing of a user, the personalized requirements comprising: style, price range, age bracket, skin color, brand, use occasion, washing mode, etc.
Specifically, the clothing information recommended to the user is first processed to have label information suitable for retrieval and identification, and the label information is used for representing the requirement information such as style, price range, age range, skin color, brand and the like. Then, when the user requirements are matched, the user firstly inputs main key attributes, the race, the sex and the age of the user, the three attributes can help to determine which standard and body type range the user is suitable for, and then the requirements can be matched according to the individual requirements of the user, such as using occasions, skin colors and the like. For example, inputting age can recommend suitable brands, and because each brand has different target consumer group positioning, the system can perform matching recommendation according to age attributes. In addition, the user can also select the favorite brand, thereby facilitating recommendation according to the age, the use purpose and the skin color of the user.
Based on the same technical concept, another object of the present invention is to provide a garment recommendation device based on human body size acquisition, which includes: a memory and a processor; the processor is configured to execute the body size acquisition-based garment recommendation method as described above based on instructions stored in the memory.
Based on the same technical concept, another object of the present invention is to provide an ordering method based on human body size acquisition.
As shown in fig. 2, in one embodiment, the ordering method includes:
pushing the clothing information by adopting the clothing recommendation method;
receiving a shopping demand generated based on the pushed clothing information;
and sending the finished list information according to the filled shopping information.
Based on the actual significance of the user human body size acquisition, a user who retains the two-dimensional code can log in the platform and activate the size configuration function on the platform through the two-dimensional code or the mailbox of the user, the user selects information such as brand style according to the preference of the user, the system background can match corresponding clothes according to the selection of the user for browsing, the user orders and fills related information according to the flow after deciding to purchase, then the platform feeds back the shopping information of the user to a merchant, the merchant arranges logistics according to the information, after the user receives the goods, the purchasing behavior is completed if the user is satisfied, and if the user is not satisfied, the brand is responsible for after-sale processing until the transaction is completed.
In summary, the clothing recommendation method of the invention realizes the classification of the size of the user based on the actual body size of the user, and recommends the clothing with the proper ready-made clothing specification to the user according to the body size conforming to the size, thereby being beneficial to saving the time for the user to select the proper clothing and improving the shopping fun. Meanwhile, the integrated ordering can be completed based on the selected clothes, and the shopping experience is optimized.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.

Claims (10)

1. A clothing recommendation method based on human body size acquisition is characterized by comprising the following steps:
collecting the human body size of a user;
classifying the size of the user according to the user information and the size of the human body of the user;
and recommending the clothing under the size to the user based on the size of the user and the body size of the user.
2. The body size acquisition-based garment recommendation method according to claim 1, wherein the body size of the user is acquired through a body size measuring terminal arranged in the fitting room, or the body size of the user is acquired through a direct input manner of the user.
3. The body size acquisition-based garment recommendation method according to claim 1 or 2, wherein the body size of the user is one or more or all of the following data:
height, neck circumference, total shoulder width, chest width, back width, arm circumference, upper arm circumference, arm length, chest circumference, lower chest circumference, shoulder neck point to nipple point length, distance between two nipple points, waist circumference height, waist to hip length, back and waist length, abdomen circumference, abdomen position, hip circumference, and thigh circumference.
4. The body size acquisition-based garment recommendation method according to claim 1, wherein the classifying the size of the user according to the user information and the body size of the user comprises:
determining a clothing size standard corresponding to a user;
determining whether to adopt a male body standard or a female body standard according to the gender of the user based on the determined clothing size standard;
and determining the size according to the human body size of the user, and classifying the size.
5. The method for recommending clothes based on human body dimension acquisition as claimed in claim 4, wherein the corresponding clothes size standard is determined according to the nationality or region of the user; and determining the size, the type and the body type according to the height, the chest circumference, the net size of the waist and the chest-waist difference of the user.
6. The method of claim 1, wherein recommending the clothing under the size of the user based on the size of the user and the body size of the user comprises:
and converting the body size of the user meeting the size standard into the ready-made clothes specification of the clothes under the corresponding size, and recommending the clothes meeting the ready-made clothes specification to the user.
7. The method for recommending clothes based on body size acquisition of claim 6, wherein the garment specification of the garment under the size is the body size of the user meeting the size standard + the first conversion parameter ± the second conversion parameter, the first conversion parameter corresponds to the format of the garment, and the second conversion parameter corresponds to the correction data of the garment size.
8. The method for recommending clothes based on human body dimension acquisition according to any of claims 1, 6 or 7, wherein recommending clothes under the size to the user based on the size of the user and the human body dimension of the user further comprises:
matching personalized requirements recommendation clothing of a user, the personalized requirements comprising: style, price range, age group, skin color, brand, use occasion and washing mode.
9. A garment recommendation device based on body size acquisition, the garment recommendation device comprising: a memory and a processor; the processor is configured to execute the body size acquisition-based garment recommendation method of any one of claims 1 to 8 based on instructions stored in the memory.
10. An ordering method based on human body size acquisition is characterized by comprising the following steps:
pushing the clothing information by adopting the clothing recommendation method according to any one of claims 1 to 8;
receiving a shopping demand generated based on the pushed clothing information;
and sending the finished list information according to the filled shopping information.
CN202010010518.9A 2020-01-06 2020-01-06 Clothing recommendation method and device based on human body size acquisition and ordering method Pending CN111242725A (en)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201340613Y (en) * 2008-12-31 2009-11-04 北京酷绅服装有限公司 Garment size designation automatic selecting system
CN202916874U (en) * 2012-05-23 2013-05-01 北京酷绅服装有限公司 Automatic shirt size selection system
CN110264299A (en) * 2019-05-07 2019-09-20 平安科技（深圳）有限公司 Clothes recommended method, device and computer equipment based on recognition of face

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201340613Y (en) * 2008-12-31 2009-11-04 北京酷绅服装有限公司 Garment size designation automatic selecting system
CN202916874U (en) * 2012-05-23 2013-05-01 北京酷绅服装有限公司 Automatic shirt size selection system
CN110264299A (en) * 2019-05-07 2019-09-20 平安科技（深圳）有限公司 Clothes recommended method, device and computer equipment based on recognition of face

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Application publication date: 20200605