CN113412983A - Underwear customization method and device under measurement fault-tolerant scene - Google Patents
Underwear customization method and device under measurement fault-tolerant scene Download PDFInfo
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- CN113412983A CN113412983A CN202110612895.4A CN202110612895A CN113412983A CN 113412983 A CN113412983 A CN 113412983A CN 202110612895 A CN202110612895 A CN 202110612895A CN 113412983 A CN113412983 A CN 113412983A
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- 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
- A41H1/02—Devices for taking measurements on the human body
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract
The invention provides an underwear customization method and device under a measurement fault-tolerant scene, wherein the method comprises the following steps: acquiring measurement input of a current user for each chest measurement parameter; correcting the measurement input of each chest measurement parameter based on the constraint relation between each chest qualitative parameter and each chest measurement parameter and the chest qualitative data of the current user to obtain the chest measurement data of the current user; the constraining relationship is determined based on sample chest qualitative data and sample chest measurement data of the sample user; recommending an underwear style to the current user based on the chest measurement data of the current user. The method and the device provided by the invention can correct the measurement input obtained by the user, thereby ensuring the reliability and the accuracy of the chest measurement data for recommending the underwear model, providing accurate and reliable underwear model recommendation service for the user and being beneficial to the popularization of the on-line underwear customization.
Description
Technical Field
The invention relates to the technical field of computers, in particular to an underwear customizing method and an underwear customizing device under a measurement fault-tolerant scene.
Background
Compared with the characteristic that the plate making of the underwear is unified and only the size is distinguished, the customized underwear follows the principle that one person can make one plate, and the underwear which fits the body type of the user is provided for the user.
Currently, underwear customization usually requires a user to go to a store for professional measurement, the user is required to be provided with the store in a city, and the user himself/herself has time to go to the measurement, and requirements for store distribution and user time exist.
In response to this problem, on-line measurement has been carried out. The on-line measuring body has no limitation on the position of the user, and the user only needs to finish the measuring body by himself and input the data obtained by the measuring body into the customized underwear system. However, the volume data required for underwear customization is extremely complex, and the user may not know the parameters to be measured, so that the wrong data is measured and selected, and the reliability of the underwear type recommended according to the data is directly influenced.
Disclosure of Invention
The invention provides an underwear customizing method and an underwear customizing device under a measurement fault-tolerant scene, which are used for solving the problem of low underwear type recommendation reliability caused by inaccurate self-volume data of a user.
The invention provides an underwear customization method under a measurement fault-tolerant scene, which comprises the following steps:
acquiring measurement input of a current user for each chest measurement parameter;
correcting errors of measurement input of the chest measurement parameters based on the constraint relation between the chest qualitative parameters and the chest measurement parameters and the chest qualitative data of the current user to obtain the chest measurement data of the current user; the constraining relationship is determined based on sample chest qualitative data and sample chest measurement data of a sample user;
recommending an undergarment version to the current user based on the chest measurement data of the current user.
According to the underwear customization method under the measurement fault-tolerant scene provided by the invention, the error correction is carried out on the measurement input of each chest measurement parameter based on the constraint relation between each chest qualitative parameter and each chest measurement parameter and the chest qualitative data of the current user to obtain the chest measurement data of the current user, and the underwear customization method comprises the following steps:
matching the chest qualitative data and the measurement input of each chest measurement parameter with the constraint relation between each chest qualitative parameter and each chest measurement parameter, and determining the matching failure times of each measurement input;
determining correct input in each measurement input based on the matching failure times of each measurement input;
based on each correct input, the chest measurement data is determined.
According to the underwear customization method under the measurement fault-tolerant scene provided by the invention, the correct input in each measurement input is determined based on the matching failure times of each measurement input, and the method comprises the following steps:
selecting the measurement input with the highest matching failure times as an error input;
and deleting the error input, and updating the matching failure times of the associated measurement input of the error input until the matching failure times of all the remaining measurement inputs are 0.
According to the underwear customization method under the measurement fault-tolerant scene provided by the invention, the updating of the matching failure times of the correlated measurement input of the error input comprises the following steps:
determining each match of the error input to the associated measurement input;
if any matching condition is successful, adding one to the matching failure times input by the correlation measurement;
and if any matching condition is matching failure, subtracting one from the matching failure frequency input by the correlation measurement.
According to the underwear customization method under the measurement fault-tolerant scene, provided by the invention, the chest measurement data is determined based on each correct input, and the method comprises the following steps:
predicting corresponding data of chest measurement parameters which are input wrongly based on the chest qualitative parameters and each correct input to obtain complete data;
determining the chest measurement data based on each correct input and the completion data.
According to the underwear customization method under the measurement fault-tolerant scene provided by the invention, the constraint relation determination method comprises the following steps:
based on sample chest qualitative data and sample chest measurement data of a sample user, performing correlation mining on each chest qualitative parameter and each chest measurement parameter to obtain a correlation measurement parameter of each chest qualitative parameter and a correlation measurement parameter of each chest measurement parameter;
selecting a first constraint data set of each chest qualitative parameter and related measurement parameters thereof and a second constraint data set of each chest measurement parameter and related measurement parameters thereof from sample chest qualitative data and sample chest measurement data of a sample user;
establishing the constraint relationship based on the first set of constraint data and the second set of constraint data.
According to the underwear customization method under the measurement fault-tolerant scene provided by the invention, the error correction is performed on the measurement input of each chest measurement parameter based on the constraint relation between each chest qualitative parameter and each chest measurement parameter and the chest qualitative data of the current user, and the method also comprises the following steps:
obtaining at least one of self-compliance data, stylist qualitative data, and a chest image, the self-compliance data being input by the current user, the stylist qualitative data being input by a stylist servicing the current user;
determining chest qualitative data of the current user based on at least one of the self-compliance data, the stylist qualitative data, and the chest image.
The invention provides an underwear customizing device under a measurement fault-tolerant scene, which comprises:
an input acquisition unit for acquiring measurement inputs of a current user for each chest measurement parameter;
the input error correction unit is used for correcting the measurement input of each chest measurement parameter based on the constraint relation between each chest qualitative parameter and each chest measurement parameter and the chest qualitative data of the current user to obtain the chest measurement data of the current user; the constraining relationship is determined based on sample chest qualitative data and sample chest measurement data of a sample user;
and the model recommending unit is used for recommending underwear models to the current user based on the chest measurement data of the current user.
The invention also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to realize the steps of the underwear customization method under any one of the measurement fault-tolerant scenarios.
The present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method for customizing underwear in a measurement fault tolerant scenario as described in any of the above.
According to the underwear customization method and device under the measurement fault-tolerant scene, the constraint relation between the chest qualitative parameters and the chest measurement parameters is mined, and the measurement input obtained by the user is corrected, so that the reliability and the accuracy of the chest measurement data used for underwear type recommendation are ensured, the online quantitative customization is enabled to reduce the time cost of underwear selection by the user, meanwhile, the accurate and reliable underwear type recommendation service can be provided for the user, and the popularization of the online underwear customization is facilitated.
Drawings
In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of an underwear customization method under a measurement fault-tolerant scenario provided by the invention;
FIG. 2 is a flow chart of an input error correction method provided by the present invention;
FIG. 3 is a flow chart of an input discrimination method according to the present invention;
FIG. 4 is a schematic flow chart diagram of a constraint relationship determination method provided by the present invention;
FIG. 5 is a schematic view of a chest measurement parameter provided by the present invention;
FIG. 6 is a second schematic diagram of chest measurement parameters provided by the present invention;
FIG. 7 is a third schematic diagram of chest measurement parameters provided by the present invention;
FIG. 8 is a fourth schematic diagram of chest measurement parameters provided by the present invention;
FIG. 9 is a schematic structural diagram of an underwear customizing device under the measurement fault-tolerant scene provided by the invention;
fig. 10 is a schematic structural diagram of an electronic device provided by the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. 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.
Because the volume data required by underwear customization are extremely complex, the user can measure and select wrong data because the parameters required to be measured are not known when measuring the body online, and the reliability of the underwear type recommended according to the data is directly influenced. Aiming at the problem, the embodiment of the invention provides an underwear customization method under a measurement fault-tolerant scene. Fig. 1 is a schematic flow chart of an underwear customization method under a measurement fault-tolerant scenario provided by the invention, as shown in fig. 1, the method includes:
The current user referred to herein is the user who needs to make underwear style recommendations. The chest measurement parameter may be any one or more of left and right breast inner radius vertical data, left and right breast inner radius close data, left and right breast outer radius vertical data, left and right breast outer radius close data, left and right breast upper radius vertical data, left and right breast upper radius close data, left and right breast lower radius vertical data, left and right breast lower radius close data, left and right breast height data, bi-breast nipple distance data, left and right breast lock center distance, left and right breast shoulder distance, lower chest circumference data, and upper chest circumference data, which reflect the chest state.
When a user customizes underwear on line, the user can measure the chest measurement parameters according to the parameter description or measurement guide of the chest measurement parameters and input the measured result into the underwear customizing system, and it needs to be explained that the input operation of the user is performed for each chest measurement parameter, and the obtained measurement input corresponds to the chest measurement parameters one by one.
For example, for the chest measurement parameter "left breast inner radius vertical data", the undergarment customization system may provide the current user with a text box for entering "left breast inner radius vertical data", into which the current user may enter the current user's measurement results directly as a measurement input of "left breast inner radius vertical data".
In particular, in addition to chest measurement parameters, chest qualitative parameters are also used to describe the chest status. The chest qualitative parameter can qualitatively reflect the chest state, such as any one or more of chest shape, chest prolapse condition, chest expansion condition, axillary flesh, chest softness, fault condition, milk space condition, milk root dimension condition, breast axillary adhesion condition, and breast compression deformation.
The chest measurement parameter and the chest qualitative parameter respectively reflect the chest state of the user from the quantitative and qualitative aspects, wherein the single parameter can reflect the condition of a certain aspect. On the whole chest state, the conditions of all aspects are mutually constrained and associated, for example, the chest qualitative parameter ' chest shape ' is a ramen chest shape, the ramen chest shape is more prominent and taller in visual observation compared with the Asian chest shape and the Euramerican chest shape, the shape is similar to the pineapple chest shape, usually, the breast height of the ramen chest shape is not less than 10 cm, namely, when the chest qualitative parameter ' chest shape ' is the ramen chest shape, the breast height ' of the chest measurement parameter ' breast height ' is more than or equal to 10 cm; for another example, when the breast qualitative parameter "breast drop condition" is a drop breast type, there should be a large difference between the breast superior radius and the breast inferior radius, and usually the breast superior radius/the breast inferior radius may be >3, i.e., when the breast qualitative parameter "breast drop condition" is a drop breast type, the ratio between the breast measurement parameters "breast superior radius" and "breast inferior radius" should be greater than 3.
Considering that the user may not know the parameters to be measured when measuring the body online, the self-measuring operation is not necessarily standard, and even the error data can be detected and output, the constraint relationship between each chest qualitative parameter and each chest measurement parameter can be applied to match the chest qualitative data of the current user, the measurement input of each chest measurement parameter measured by the current user is checked for errors, the measurement input which does not conform to the constraint relation can be taken as the error input caused by the measurement error of the user, and the error input is corrected on the basis, for example, the error input can be directly deleted, deriving the input to which the chest measurement parameter corresponding to the erroneous input actually should correspond, based on the constraint relation and the chest qualitative data, or based on the constraint relation and other correct inputs, thereby obtaining the result after error correction, i.e. the chest measurement data of the current user. The chest measurement data referred to herein is data after error correction, and includes data corresponding to each chest measurement parameter.
Here, the constraint relationship between each chest qualitative parameter and each chest measurement parameter may be a data range in which one or more chest measurement parameters associated therewith may correspond or a data range in which one or more chest measurement parameters associated therewith may not be selectable when determining data corresponding to one chest qualitative parameter. The constraint relation between each chest qualitative parameter and each chest measurement parameter is obtained by performing correlation mining on sample chest qualitative data and sample chest measurement data of a sample user. The sample chest qualitative data includes data corresponding to the sample user for each chest qualitative parameter, which is different from the measurement input, and the sample chest measurement data here may be reliable data measured by the editors.
Before step 120 is executed, the constraint relationship between each chest qualitative parameter and each chest measurement parameter may be obtained, and the specific obtaining manner includes: sample chest qualitative data and sample chest measurement data of a sample user are first collected. On the basis, the constraint relation between the sample chest qualitative data of the sample user and the data corresponding to each chest qualitative parameter and each chest measurement parameter in the sample chest measurement data is mined, and the constraint relation is used as the constraint relation between each chest qualitative data and each chest measurement data.
And step 130, recommending underwear types to the current user based on the chest measurement data of the current user.
Specifically, after chest measurement data of the current user is obtained, underwear type recommendation can be performed on the current user. Furthermore, the underwear model can be recommended from the qualitative aspect and the quantitative aspect by combining the chest qualitative data and the chest measurement data, so that the reliability and the accuracy of underwear customization based on the recommended model are ensured.
According to the method provided by the embodiment of the invention, the measurement input obtained by the user measurement is corrected by digging the constraint relation between each chest qualitative parameter and each chest measurement parameter, so that the reliability and the accuracy of the chest measurement data for recommending the underwear model are ensured, the online measuring body customization is enabled to reduce the time cost for the user to choose underwear, meanwhile, the accurate and reliable underwear model recommendation service can be provided for the user, and the popularization of the online underwear customization is facilitated.
Based on the above embodiment, fig. 2 is a schematic flow chart of the input error correction method provided by the present invention, and as shown in fig. 2, step 120 includes:
and step 121, matching the chest qualitative data and the measurement input of each chest measurement parameter with the constraint relation between each chest qualitative parameter and each chest measurement parameter, and determining the matching failure times of each measurement input.
In particular, the constraining relationship between the respective breast qualitative parameter and the respective breast measurement parameter may particularly be expressed as a constraining relationship between each breast qualitative parameter and one or more breast measurement parameters.
For the constraint relationship between any chest qualitative parameter and one or more chest measurement parameters, the constraint relationship may be matched with data corresponding to each parameter, for example, when the constraint relationship between "chest type" and "breast height" indicates that "chest type" is a ramen chest type, the chest measurement parameter "breast height" should be greater than or equal to 10 cm, and if the chest type of the current user is the ramen chest type, but the measurement input corresponding to the breast height is only 5 cm, the measurement input "breast height" is counted as one matching failure, and the number of matching failures corresponding to the "breast height" is increased by 1.
And step 122, determining correct input in each measurement input based on the matching failure times of each measurement input.
Specifically, the reason for the failure of matching the measurement input may be that the measurement input itself is wrong, or there may be a mistake in other measurement inputs associated with the measurement input, so that the wrong measurement input cannot be directly located by only one matching result. For this situation, the matching failure times of each measurement input may be counted, and when the matching times are fixed, the higher the matching failure times, the higher the probability that the measurement input itself is wrong is. Conversely, if the number of matches for a measurement input is high and the number of failures is low, it can be assumed that the reason for the failure of the measurement input match is due to other associated measurement input errors rather than the problem of the measurement input itself.
After the matching failure times of the measurement inputs are obtained, the reason of each matching failure can be analyzed, namely which measurement inputs are possible to be wrong, so that wrong inputs in the measurement inputs of the chest measurement parameters are screened out, and correct inputs are reserved.
Based on the respective correct inputs, chest measurement data is determined, step 123.
Specifically, after the erroneous input is eliminated, the chest measurement data of the current user can be determined based on the remaining correct input, for example, the chest measurement parameters with the erroneous input to be eliminated can be directly left empty, only the correct input is used as the chest measurement data, or on the basis of the correct input, the data actually corresponding to the chest measurement parameters with the erroneous input can be deduced by combining the constraint relationship between the qualitative parameters of each chest and the chest measurement parameters, so that the chest measurement data can be completed.
According to the method provided by the embodiment of the invention, the error input which does not conform to the constraint relation is filtered out by counting the matching failure times of each measurement input, so that the reliability and the accuracy of the chest measurement data are ensured.
Based on any of the above embodiments, fig. 3 is a schematic flow chart of the input determination method provided by the present invention, as shown in fig. 3, step 122 includes:
In particular, the measurement inputs of the current user for each chest measurement parameter may be problematic per se, and need to be distinguished one by one. When determining the order of the measurement input, the number of matching failures can be taken as a consideration condition, and generally, the more the number of matching failures obtained by statistics after the measurement input participates in the matching, the higher the corresponding probability of matching failures. In the embodiment of the invention, each time the input discrimination is carried out, the measurement input with the highest matching failure frequency in all the non-discriminated measurement inputs can be directly determined as the error input.
Specifically, after determining the erroneous input, it is also possible to determine, based on the correlation between the pieces of chest measurement data indicated in the constraint relationship, a measurement input associated with the erroneous input, that is, an associated measurement input of the erroneous input. For example, the constraint relationship between the "breast drop condition" and the "radius above the breast" and the "radius below the breast" indicates that the ratio of the radius above the breast to the radius below the breast for the drop breast type should be greater than 3, i.e., there is a correlation between the "radius above the breast" and the "radius below the breast", and the "radius below the breast" associated with the "radius above the breast" can be located at the same time when the "radius above the breast" is determined as an erroneous input.
After determining the erroneous input, the erroneous input may be directly deleted and the number of matching failures associated with the measurement input may be updated.
After that, it is also necessary to determine whether the matching failure times of all the remaining measurement inputs are all 0, where the condition that all the remaining measurement inputs are 0 means that all the remaining measurement inputs conform to the constraint relationship, that is, all the remaining measurement inputs are correct inputs, and at this time, the step 1221 is not executed again, and the determination process is ended; if not both are 0, it indicates that there is still an error input in the remaining measurement inputs that has not been screened, and the process returns to step 1221.
Based on any of the above embodiments, in step 1222, updating the number of times that the matching of the associated measurement input of the error input fails includes:
determining each match of an erroneous input to an associated measurement input;
if any matching condition is successful, adding one to the matching failure times input by the correlation measurement;
and if any matching condition is matching failure, subtracting one from the matching failure frequency input by the correlation measurement.
Specifically, there is a constraint relationship between the erroneous input and its associated measurement input and several chest qualitative parameters, and correspondingly, the erroneous input and its associated measurement input may participate in several matching at the same time. The matching condition referred to herein may be a successful matching or a failed matching.
Aiming at any one time of matching with the two simultaneously participating, under the condition that the error input is determined to have problems, if the matching condition is successful, the associated measurement input associated with the error input is indicated to have problems, and the matching failure times of the associated measurement input is correspondingly added with 1; if the matching condition is matching failure, the reason for the matching failure is to input the error, and the number of matching failures of the associated measurement input is reduced by 1 regardless of the associated measurement input.
Based on any of the above embodiments, step 123 includes:
predicting corresponding data of chest measurement parameters input incorrectly based on the chest qualitative parameters and each correct input to obtain complete data;
chest measurement data is determined based on each of the correct inputs and the completion data.
Specifically, after the erroneous input is deleted, the data actually corresponding to the inputted chest measurement parameters can be deduced by combining the constraint relation between the chest qualitative parameters and the chest measurement parameters on the basis of correct input, the deduced data is used as the completion data, and the completion data is applied to replace the erroneous input, so that the chest measurement data obtained by error correction contains the complete data corresponding to all the chest measurement parameters, the integrity and the comprehensiveness of the chest measurement data are ensured, and the accuracy and the reliability of the underwear model recommendation based on the chest measurement parameters are improved.
Based on any of the above embodiments, fig. 4 is a schematic flow chart of a constraint relationship determining method provided by the present invention, and as shown in fig. 4, the constraint relationship determining method includes:
and step 410, performing correlation mining on each chest qualitative parameter and each chest measurement parameter based on the sample chest qualitative data and the sample chest measurement data of the sample user to obtain a correlation measurement parameter of each chest qualitative parameter and a correlation measurement parameter of each chest measurement parameter.
The association mining referred to herein is a data mining approach that can mine implicit relationships between objects from large-scale data. Specifically, in the embodiment of the present invention, the association mining is configured to mine an implicit association relationship between each chest qualitative parameter and each chest measurement parameter and an implicit association relationship between each chest measurement parameter from sample chest qualitative data and sample chest measurement data of a sample user, so as to obtain an association measurement parameter of each chest qualitative parameter and an association measurement parameter of each chest measurement parameter. Here, for any chest qualitative parameter, its associated measured parameter, i.e. the chest measured parameter having an implicit association with the chest qualitative parameter, for example, the associated measured parameter of the chest qualitative parameter "chest type" includes "breast height"; for any chest measurement parameter, its associated measurement parameter is the other chest measurement parameters that have an implicit association with the chest measurement parameter, such as "radius above the breast" and "radius below the breast".
Further, the algorithm used for association mining herein may be Apriori algorithm, FP-growth algorithm, or the like.
Specifically, after obtaining the associated measurement parameters of each chest qualitative parameter, for any chest qualitative parameter and its corresponding associated measurement parameter, a data pair of the chest qualitative parameter and the chest measurement parameter may be selected from a large number of sample chest qualitative data and sample chest measurement data, and the data pair is used as a constraint data set of the chest qualitative parameter and the chest measurement data, and is used as the first constraint set. Similarly, after obtaining the relevant measurement parameter of each chest measurement parameter, for any chest measurement parameter and its corresponding one relevant measurement parameter, a data pair of the chest measurement parameter and the relevant measurement parameter may be selected from a large number of sample chest measurement data, and the data pair may be used as a constraint data set of the chest measurement parameter and the relevant measurement parameter, and the constraint data set may be used as a second constraint set.
On the basis, a constraint relation between the two can be established through modes of neural network training, regression analysis and the like, or the co-occurrence relation between the participles can be calculated through a word co-occurrence algorithm by taking the data of each parameter as a participle, and then the co-occurrence relation between the participles is taken as the constraint relation between the parameters.
And finally, integrating the constraint relation between all the chest qualitative parameters and the relevant measurement parameters thereof and the constraint relation between all the chest measurement parameters and the relevant measurement parameters thereof as the constraint relation between all the chest qualitative parameters.
Based on any of the above embodiments, step 120 further includes:
obtaining at least one of self-compliance data, stylist qualitative data, and a chest image, the self-compliance data being input by the current user, the stylist qualitative data being input by a stylist servicing the current user;
chest qualitative data of the current user is determined based on at least one of the self-compliance data, the stylist qualitative data, and the chest image.
Specifically, the source of the chest qualitative data of the current user may be input by the current user after performing qualitative judgment on the chest state of the current user, or may be input by a stylist who serves the current user after performing qualitative judgment on the chest state of the current user, or may be obtained by performing qualitative judgment on the chest image of the current user by the machine according to the learned reflection of different chest states on the image and the relationship between the corresponding qualitative data. Further, the chest image refers to an image including a chest of a current user, and may specifically include a front image of the chest, or may include both the front image and a side image of the chest, which is not specifically limited in this embodiment of the present invention.
After at least one of the self-compliance data, the stylist qualitative data, and the chest image is obtained, chest qualitative data for the current user may be determined based thereon. Here, if a chest image is obtained, the result of qualitative analysis of the chest image may be used as a kind of qualitative data, and the obtained remaining qualitative data, such as self-qualitative data and stylist qualitative data, may be combined to determine comprehensive and accurate chest qualitative data.
Based on any of the above embodiments, determining chest qualitative data of the current user based on at least one of the self-qualitative data, the stylist qualitative data, and the chest image comprises:
if the formalism qualitative data exist, the formalism qualitative data are used as chest qualitative data of the current user;
if the chest image exists and the stylist qualitative data does not exist, performing qualitative analysis on the chest image to obtain a qualitative analysis result, and determining the chest qualitative data of the current user based on the qualitative analysis result or the qualitative analysis result and the self-adaptive data;
otherwise, the self-adaptability data is used as the chest qualitative data of the current user.
Specifically, each type of qualitative data has different sources, and the different sources determine that the reliability and accuracy of the different qualitative data also differ.
Considering that the stereotyped user can be used as a professional in the underwear customization industry, the reliability and accuracy of qualitative data of the stereotyped user, which is obtained by qualitative judgment of the stereotyped user, are obviously higher than those of self-qualitative data obtained by self-qualitative judgment of the user and data obtained by qualitative judgment of the chest image through a machine, and when the qualitative data of the stereotyped user exists, the qualitative data of the stereotyped user can be directly used as the qualitative data of the chest of the current user without considering whether the qualitative data of the chest exists or not or whether the qualitative data of the chest image exists through the machine or not.
For the situation that the qualitative data of the editors does not exist, the user does not usually know the specific qualitative rule of the qualitative data of the chest when the chest state of the user is self-qualified, and the user needs to read detailed description materials to determine the specific situations to which the user belongs, so that the obtained self-qualitative data may have the problem of poor reliability due to the understanding error of the user. Therefore, in the case where a chest image exists, it is preferable to determine the qualitative analysis result obtained by qualitatively analyzing the chest image as the chest qualitative data, or to combine the qualitative analysis result and the self-qualitative data.
Further, the determining of the chest qualitative data by combining the qualitative analysis result and the self-adaptive data may be to use a part of the qualitative analysis result and the self-adaptive data as the chest qualitative data, or use a part of the qualitative analysis result and the self-adaptive data that is consistent as the chest qualitative data, return a part of the qualitative analysis result and the self-adaptive data that is inconsistent to the current user for confirmation, and supplement the confirmed result to the chest qualitative data, and the like.
According to the method provided by the embodiment of the invention, the qualitative data of the chest is determined by dividing the priority of the source of the qualitative data, so that the reliability and the accuracy of the qualitative data of the chest are ensured to the greatest extent, and the reliability of underwear type recommendation is improved.
Based on any of the above embodiments, fig. 5, 6, 7, and 8 are schematic diagrams of measured data of the breast provided by the present invention, and the dashed lines in the diagrams represent contours of the breast. Fig. 5 and 6 reflect right and left milk inner radius vertical data, right and left milk inner radius fit data, right and left milk outer radius vertical data, right and left milk outer radius fit data, right and left milk upper radius vertical data, right and left milk upper radius fit data, right and left milk lower radius vertical data, right and left milk lower radius fit data, where a1 is milk inner radius vertical, a2 is milk outer radius vertical, a3 is milk upper radius vertical, a4 is milk lower radius vertical, b1 is milk inner radius fit, b2 is milk outer radius fit, b3 is milk upper radius fit, and b4 is milk lower radius fit. For example, the left and right milk inner radius vertical data may include a measurement of the left milk inner radius vertical a1 and a measurement of the right milk inner radius vertical a1, the left and right milk inner radius hugging data may include a measurement of the left milk inner radius hugging b1 and a measurement of the right milk inner radius hugging b1, the difference in the measurements of vertical and hugging may be seen in fig. 6. Fig. 7 shows left and right breast height data, fig. 8 shows data of the distance between the nipples of both breasts, the distance between the breast centers of the left and right breasts, and the distance between the breast shoulders of the left and right breasts, wherein the distance d1 between the breast points is the straight line distance between the clavicle groove and the breast point, the distance d2 between the breast centers is the straight line distance between the clavicle groove and the breast point, the distance d3 between the breast points is the vertical distance between the breast point and the shoulder, the breast height h is the breast height, and the tape is placed horizontally and is vertical to the body. The upper chest circumference data is the measurement result of the fact that the body is inclined forward by 45 degrees, the circumference is measured horizontally for one circle, and the tape passes through the breast point; the lower chest circumference data is the measurement result of raising head, straightening chest, measuring horizontal circumference for a circle and passing through the lower breast root point by a tape.
Based on any of the above embodiments, fig. 9 is a schematic structural diagram of an underwear customization device under a measurement fault tolerance scenario provided by the present invention, as shown in fig. 9, the device includes:
an input acquisition unit 510 for acquiring measurement inputs of the current user for each chest measurement parameter;
an input error correction unit 520, configured to correct errors in the measurement inputs of the chest measurement parameters based on the constraint relationship between the chest qualitative parameters and the chest measurement parameters and the chest qualitative data of the current user, so as to obtain the chest measurement data of the current user; the constraining relationship is determined based on sample chest qualitative data and sample chest measurement data of a sample user;
a fit recommendation unit 530 for recommending a fit of underwear to the current user based on the chest measurement data of the current user.
According to the device provided by the embodiment of the invention, the measurement input obtained by the user measurement is corrected by excavating the constraint relation between each chest qualitative parameter and each chest measurement parameter, so that the reliability and the accuracy of the chest measurement data for recommending the underwear model are ensured, the online measuring body customization is enabled to reduce the time cost for the user to choose underwear, meanwhile, the accurate and reliable underwear model recommendation service can be provided for the user, and the popularization of the online underwear customization is facilitated.
Based on any of the above embodiments, the input error correction unit 520 is configured to:
matching the chest qualitative data and the measurement input of each chest measurement parameter with the constraint relation between each chest qualitative parameter and each chest measurement parameter, and determining the matching failure times of each measurement input;
determining correct input in each measurement input based on the matching failure times of each measurement input;
based on each correct input, the chest measurement data is determined.
Based on any of the above embodiments, the input error correction unit 520 is configured to:
selecting the measurement input with the highest matching failure times as an error input;
and deleting the error input, and updating the matching failure times of the associated measurement input of the error input until the matching failure times of all the remaining measurement inputs are 0.
Based on any of the above embodiments, the input error correction unit 520 is configured to:
determining each match of the error input to the associated measurement input;
if any matching condition is successful, adding one to the matching failure times input by the correlation measurement;
and if any matching condition is matching failure, subtracting one from the matching failure frequency input by the correlation measurement.
Based on any of the above embodiments, the input error correction unit 520 is configured to:
predicting corresponding data of chest measurement parameters which are input wrongly based on the chest qualitative parameters and each correct input to obtain complete data;
determining the chest measurement data based on each correct input and the completion data.
Based on any of the above embodiments, the apparatus further comprises a constraint determining unit, configured to:
based on sample chest qualitative data and sample chest measurement data of a sample user, performing correlation mining on each chest qualitative parameter and each chest measurement parameter to obtain a correlation measurement parameter of each chest qualitative parameter and a correlation measurement parameter of each chest measurement parameter;
selecting a first constraint data set of each chest qualitative parameter and related measurement parameters thereof and a second constraint data set of each chest measurement parameter and related measurement parameters thereof from sample chest qualitative data and sample chest measurement data of a sample user;
establishing the constraint relationship based on the first set of constraint data and the second set of constraint data.
Based on any embodiment above, the apparatus further comprises a qualitative determination unit, configured to:
obtaining at least one of self-compliance data, stylist qualitative data, and a chest image, the self-compliance data being input by the current user, the stylist qualitative data being input by a stylist servicing the current user;
determining chest qualitative data of the current user based on at least one of the self-compliance data, the stylist qualitative data, and the chest image.
Fig. 10 illustrates a physical structure diagram of an electronic device, and as shown in fig. 10, the electronic device may include: a processor (processor)610, a communication Interface (Communications Interface)620, a memory (memory)630 and a communication bus 640, wherein the processor 610, the communication Interface 620 and the memory 630 communicate with each other via the communication bus 640. The processor 610 may invoke logic instructions in the memory 630 to perform a method of underwear customization in a measurement fault tolerance scenario, the method comprising: acquiring measurement input of a current user for each chest measurement parameter; correcting errors of measurement input of the chest measurement parameters based on the constraint relation between the chest qualitative parameters and the chest measurement parameters and the chest qualitative data of the current user to obtain the chest measurement data of the current user; the constraining relationship is determined based on sample chest qualitative data and sample chest measurement data of a sample user; recommending an undergarment version to the current user based on the chest measurement data of the current user.
In addition, the logic instructions in the memory 630 may be implemented in software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions, which when executed by a computer, enable the computer to perform the underwear customization method under the measurement fault tolerance scenario provided by the above methods, the method comprising: acquiring measurement input of a current user for each chest measurement parameter; correcting errors of measurement input of the chest measurement parameters based on the constraint relation between the chest qualitative parameters and the chest measurement parameters and the chest qualitative data of the current user to obtain the chest measurement data of the current user; the constraining relationship is determined based on sample chest qualitative data and sample chest measurement data of a sample user; recommending an undergarment version to the current user based on the chest measurement data of the current user.
In yet another aspect, the present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program that when executed by a processor is implemented to perform the underwear customization method in the measurement fault tolerance scenario provided above, the method comprising: acquiring measurement input of a current user for each chest measurement parameter; correcting errors of measurement input of the chest measurement parameters based on the constraint relation between the chest qualitative parameters and the chest measurement parameters and the chest qualitative data of the current user to obtain the chest measurement data of the current user; the constraining relationship is determined based on sample chest qualitative data and sample chest measurement data of a sample user; recommending an undergarment version to the current user based on the chest measurement data of the current user.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. An underwear customization method under a measurement fault-tolerant scene is characterized by comprising the following steps:
acquiring measurement input of a current user for each chest measurement parameter;
correcting errors of measurement input of the chest measurement parameters based on the constraint relation between the chest qualitative parameters and the chest measurement parameters and the chest qualitative data of the current user to obtain the chest measurement data of the current user; the constraining relationship is determined based on sample chest qualitative data and sample chest measurement data of a sample user;
recommending an undergarment version to the current user based on the chest measurement data of the current user.
2. The underwear customization method under measurement fault-tolerant scenario according to claim 1, wherein the error correction of the measurement input of each chest measurement parameter based on the constraint relationship between each chest qualitative parameter and each chest measurement parameter and the chest qualitative data of the current user to obtain the chest measurement data of the current user comprises:
matching the chest qualitative data and the measurement input of each chest measurement parameter with the constraint relation between each chest qualitative parameter and each chest measurement parameter, and determining the matching failure times of each measurement input;
determining correct input in each measurement input based on the matching failure times of each measurement input;
based on each correct input, the chest measurement data is determined.
3. The underwear customization method under measurement fault-tolerant scene according to claim 2, wherein the determining the correct input in each measurement input based on the number of matching failures of each measurement input comprises:
selecting the measurement input with the highest matching failure times as an error input;
and deleting the error input, and updating the matching failure times of the associated measurement input of the error input until the matching failure times of all the remaining measurement inputs are 0.
4. The underwear customization method under measurement fault-tolerant scenario of claim 3, wherein the updating the number of matching failures of the associated measurement input of the erroneous input comprises:
determining each match of the error input to the associated measurement input;
if any matching condition is successful, adding one to the matching failure times input by the correlation measurement;
and if any matching condition is matching failure, subtracting one from the matching failure frequency input by the correlation measurement.
5. The method of claim 2, wherein the determining the chest measurement data based on the respective correct inputs comprises:
predicting corresponding data of chest measurement parameters which are input wrongly based on the chest qualitative parameters and each correct input to obtain complete data;
determining the chest measurement data based on each correct input and the completion data.
6. The underwear customization method under the measurement fault-tolerant scenario according to any one of claims 1 to 5, wherein the constraint relationship determination method comprises:
based on sample chest qualitative data and sample chest measurement data of a sample user, performing correlation mining on each chest qualitative parameter and each chest measurement parameter to obtain a correlation measurement parameter of each chest qualitative parameter and a correlation measurement parameter of each chest measurement parameter;
selecting a first constraint data set of each chest qualitative parameter and related measurement parameters thereof and a second constraint data set of each chest measurement parameter and related measurement parameters thereof from sample chest qualitative data and sample chest measurement data of a sample user;
establishing the constraint relationship based on the first set of constraint data and the second set of constraint data.
7. The underwear customization method under measurement fault-tolerant scenario according to any one of claims 1 to 5, wherein the error correction of the measurement input of each chest measurement parameter based on the constraint relationship between each chest qualitative parameter and each chest measurement parameter and the chest qualitative data of the current user further comprises:
obtaining at least one of self-compliance data, stylist qualitative data, and a chest image, the self-compliance data being input by the current user, the stylist qualitative data being input by a stylist servicing the current user;
determining chest qualitative data of the current user based on at least one of the self-compliance data, the stylist qualitative data, and the chest image.
8. An underwear customization device under a measurement fault-tolerant scene, comprising:
an input acquisition unit for acquiring measurement inputs of a current user for each chest measurement parameter;
the input error correction unit is used for correcting the measurement input of each chest measurement parameter based on the constraint relation between each chest qualitative parameter and each chest measurement parameter and the chest qualitative data of the current user to obtain the chest measurement data of the current user; the constraining relationship is determined based on sample chest qualitative data and sample chest measurement data of a sample user;
and the model recommending unit is used for recommending underwear models to the current user based on the chest measurement data of the current user.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps of the method for customizing an undergarment in a measurement fault tolerant scenario according to any one of claims 1 to 7.
10. A non-transitory computer readable storage medium having a computer program stored thereon, wherein the computer program when executed by a processor implements the steps of the underwear customization method under measurement fault tolerance scenario as claimed in any one of claims 1 to 7.
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