Clothing dynamic model closed-loop generating and cutting system and method oriented to personalized sports

By generating optimized pattern data through integrated dynamic capture units and coupled model algorithms, the problem of dynamic mismatch in clothing during movement is solved, realizing fully automated personalized clothing customization and reducing sports energy consumption and production costs.

CN122287108APending Publication Date: 2026-06-26NANTONG UNIV
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Patent Information

Application Number
CN202610405647.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-31
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing technologies cannot effectively handle the non-linear stretching and skeletal joint activity of the human body during movement when generating clothing patterns, resulting in dynamic mismatch. Furthermore, the lack of a fully automated personalized customization production process increases customization costs and energy consumption during exercise.

Method used

The integrated dynamic capture unit synchronously collects human dynamic visual point cloud and mechanical data, uses the built-in coupling model algorithm to generate optimized two-dimensional pattern data, and directly drives the CNC cutting machine to complete the cutting, realizing fully automatic closed-loop production.

Benefits of technology

Significantly reduces energy loss during exercise, improves wearing comfort, and shortens customization cycles, ensuring the precision and automated production of personalized clothing.

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Abstract

The invention discloses a garment dynamic version closed-loop generating and cutting system and method oriented to personalized sports, and the system comprises an integrated dynamic capturing unit which is used for synchronously collecting visual point cloud data and mechanical data during the movement of a human body, and constructing a 4D data tensor; the special analysis host is used for executing dynamic skin strain field mapping, segmentation line topological optimization and dynamic loose compensation calculation based on the fabric physical attribute parameters and the 4D data tensor to generate an optimized model; and the driving and executing terminal is directly connected with the host and is used for directly converting the version data into a cutting instruction to finish cutting. According to the invention, through a'exercise energy consumption-skin extension-fabric mechanics' model, the generated clothes can significantly reduce the structural resistance in exercise. Experiments show that about 5%-10% of motion energy loss can be reduced in large-amplitude motion such as golf swing. The industrial problem that in large-scale customization, 'personalized version 'and'automatic production' are difficult to achieve at the same time is solved.
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