3 results about "Hip Circumference" patented technology

The application discloses a garment design size recommendation method, including a size recommendation method of a coat and trousers, the coat including sleeves and a body, the sleeve size including a sleeve length, the body size including a body length, a sleeve length, a bust, a waist and a hip, the sleeve length of the sleeve and the body length of the coat are determined according to the height of a customer, the bust, the waist and the hip of the coat are determined according to the weight of the customer, under a height standard, the dimensions of the bust, the waist and the hip are increased by 2 cm every time the weight is increased by 2 kg; the size of the trousers includes a trouser length and a waist, the trouser length is determined according to the height of the customer, and the waist is determined according to the weight of the customer. When the garment size is determined by using the method, different body lengths are provided for users with different weights under the condition that the sleeve length and the body length are unchanged, different trousers with different waists are provided for users with different weights under the condition that the trouser length is unchanged, so that users with various body types can obtain clothes that fit well, individual needs are met, and the satisfaction of the users is improved.

The present application relates to the field of clothing technology, especially to the field of IPC A41D1, further to the pants type process of flat-hip and hip point down body type, comprising the following steps: (1) designing the back pants piece and the front pants piece with the required size and shape; (2) cutting out the back pants piece semi-finished product, drawing the waistline AB, the hip circumference line CD, the upper crotch line EF, the middle crotch line GH and the back middle seam line JK; (3) determining the position of the hip height point and the province of the back pants piece, and drawing the province length; (4) cutting along the province edge line, splicing, and collecting the province; (5) carrying out the back pulling treatment on the back pants piece; (6) sewing the back pants piece and the front pants piece. The pants type process provided in the present application effectively solves the rear middle hip empty and the rear crotch oblique phenomenon of the flat-hip and hip point down body type women.

The present invention relates to an artificial intelligence-based virtual clothing fitting system comprising: a body information generating unit that generates body information including a user's height, chest circumference, waist circumference, and hip circumference based on a body image of a user captured by a 3D camera; an avatar generating unit that generates a 3D avatar based on the body information; a clothing generating unit that generates a 3D clothing based on a previously stored clothing drawing; and a simulation unit that fits the 3D clothing to the 3D avatar to generate simulation information indicating the elongation rate, curvature, and contact pressure of the 3D clothing. The system includes a rendering unit that visually outputs the 3D avatar fitted with the 3D clothing based on the simulation information, and the body information generation unit includes a preprocessing module that generates 3D point cloud data from the body image and preprocesses the body image by performing background removal, noise filtering, surface refinement, and alignment processing on the point cloud data; an extraction module that inputs the preprocessed body image into an artificial intelligence model based on a PointNet architecture to extract feature points from the point cloud data, wherein if the prediction reliability of the feature points falls below a preset threshold, the feature points are discarded or classified as targets for re-estimation; and a computation module that generates the body information by performing a consistency check by comparing the distance between the feature points with standard human body ratios, determining feature points exceeding a preset tolerance as errors, and calculating the user's height, chest circumference, waist circumference, and hip circumference based on the distance between feature points that passed the consistency check. The simulation unit calculates the elongation rate, the curvature, and the contact pressure by placing the 3D clothing on the surface of the 3D avatar, wherein the elongation rate is the 3D It is calculated based on the degree of surface deformation of the garment, and the curvature is calculated based on the change in curved slope and folding distribution of the 3D garment.The above contact pressure is calculated based on changes in the contact position and contact distance between the 3D garment and the surface of the 3D avatar, and the simulation unit generates predictive simulation information reflecting future body shape changes of the 3D avatar through an artificial intelligence prediction module comprising a recurrent neural network (RNN) with a Long Short-Term Memory (LSTM) or Gated Recurrent Unit (GRU) structure that performs time-series-based body shape change modeling based on user information including health status information, age information, weight change trend information, pregnancy status information, gestational week information, hormone change history information, and seasonal environmental information; if the user is pregnant, the artificial intelligence prediction module generates a 3D avatar at a future point in time by reflecting changes in the body shape of the user's abdomen, hips, and thighs according to the gestational week information, and generates the predictive simulation information by calculating the elongation rate, curvature, and contact pressure of the 3D garment for the 3D avatar at the future point in time; and based on the seasonal environmental information, reflects changes in the body shape of the abdomen and upper body due to reduced outdoor activity and weight gain in winter, and sweat wicking and body heat dissipation efficiency in summer A 3D avatar at the future point in time is generated by reflecting a decrease in body shape due to increase, and the elongation rate, curvature, and contact pressure of the 3D clothing for the 3D avatar at the future point in time are calculated to generate the prediction simulation information. The rendering unit generates a rendering frame at the present point in time based on the simulation information and generates a rendering frame at the future point in time based on the prediction simulation information. The rendering frame at the present point in time and the rendering frame at the future point in time are output simultaneously, and enlarged display or color contrast is applied to mesh areas where the difference in elongation rate, curvature, and contact pressure between points in time exceeds a preset reference value. According to the present invention, a digital clothing is virtually fitted to a 3D avatar generated based on the user's body information.By providing results visually and simultaneously quantitatively analyzing fitting responses—such as garment deformation patterns and fit characteristics—it is possible to offer a fitting experience close to actual wear in an online environment. This allows consumers to more accurately select clothing suitable for their body types, thereby reducing return rates and increasing purchase satisfaction. Furthermore, based on the quantitative analysis of wearing responses, various functions such as size recommendations, fit predictions, and wear simulations can be automated. This enables applications in diverse fields, including clothing design, virtual fitting shopping malls, and personalized recommendation systems, contributing to improved user experience, distribution efficiency, and the digital transformation of the entire industry.