Yewon Song
Papers
1
Total Citations
13
H-Index
1
About
Yewon Song is a pioneering researcher at the intersection of smart textiles and wearable technology, with a primary focus on developing seamlessly integrated electronic systems for human-computer interaction. Her most-cited work, "Design framework for a seamless smart glove using a digital knitting system" (2021, 13 citations), introduces a groundbreaking methodology for fabricating textile-based sensor gloves through digital knitting—a technique that eliminates traditional seams while maintaining both comfort and electrical performance. This research addresses a critical challenge in wearable electronics: balancing ergonomic wearability with reliable sensing capabilities. Song's framework provides a systematic approach for embedding conductive yarns directly into knitted structures, enabling gesture recognition and motion tracking without compromising fabric flexibility. Her contributions are particularly notable for advancing the practical implementation of smart textiles in applications ranging from virtual reality interfaces to rehabilitation monitoring. By demonstrating how digital fabrication can produce durable, washable, and comfortable sensor systems, Song has established a foundation for next-generation wearable devices that feel like ordinary clothing while functioning as sophisticated input devices. Her work continues to influence the growing field of e-textiles, bridging the gap between textile engineering and interactive technology.
Research Focus
Key Achievements
Top Papers
- 1Design framework for a seamless smart glove using a digital knitting system13 citations · 2021