About Yunbroidery
Yunbroidery is a research-based embroidery platform and analytical database founded by Meiyun Chang, an embroidery artist, researcher, and university professor.
This project explores the structural logic of hand embroidery and its potential relevance to contemporary practice and future research.
Embroidery is not merely a decorative craft, but a visual wisdom—a structured cultural system that can be observed, analyzed, and translated.
Through long-term teaching, research, and practice, the project recognizes embroidery as a structural visual language composed of needlework paths, material movement, rhythm, and spatial logic. Many forms of knowledge traditionally transmitted solely through experience are facing the risk of disappearing.
To address this issue, Yunbroidery focuses not only on completed works but also on the process behind embroidery, including:
✦ Stitching Paths and Arrangements
✦ The movement of threads between planar and spatial dimensions
✦ The hidden order, rhythm, and logical systems within patterns
Each embroidery piece is studied through hand-drawn canvas diagrams and systematic visual analysis, recording needle entry and exit, direction, and structural relationships. These analyses aim to transform tacit knowledge into readable and research-oriented structured data.
Yunbroidery views embroidery as a technological culture that can be studied, structured, and engaged in dialogue with artificial intelligence, rather than being simplified into mechanized production. The goal is not to replace hand practice, but to preserve and expand the wisdom inherent in manual experience.
This is a long-term research project and an evolving database intended for academic research, education, and future interdisciplinary applications.
Citations and Use
This website may be used for academic, educational, and research purposes.
Please credit: Yunbroidery – Embroidery Structure Database.
Founder
Mei-Yun Chang, Embroidery Artist, Researcher, University Professor
Her research focuses on global embroidery techniques, needlework structure analysis, and cultural preservation, with a particular emphasis on understanding, recording, and repositioning hand embroidery knowledge within the context of contemporary art, academic research, and artificial intelligence.