A garment dynamic pattern closed-loop generation and cutting system and method for 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

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NANTONG UNIV
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

This invention discloses a closed-loop generation and cutting system and method for dynamic patterns of clothing for personalized sports. The system includes: an integrated dynamic capture unit for synchronously collecting visual point cloud data and mechanical data during human movement to construct a 4D data tensor; a dedicated analysis host for performing dynamic skin strain field mapping, topology optimization of dividing lines, and dynamic ease compensation calculation based on fabric physical property parameters and the 4D data tensor to generate an optimized pattern; and a driver and execution terminal directly connected to the host to directly convert the pattern data into cutting instructions to complete the cutting. This invention, through a "sports energy consumption-skin stretching-fabric mechanics" model, generates clothing that significantly reduces structural resistance during movement. Experiments show that in large-amplitude movements such as golf swings, it can reduce motion energy loss by approximately 5%-10%. This solves the industry problem of balancing "personalized patterns" and "automated production" in mass customization.
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