An intelligent hybrid-fabric wristband system enabled by thermal encapsulation for ergonomic human-machine interaction

Aobo Cheng, Xin Li, Ding Li, Zhikang Chen, Tianrui Cui, Lu-Qi Tao, Jinming Jian, HuiJun Xiao, Wancheng Shao, Zeyi Tang, Xinyue Li, Zirui Dong, Houfang Liu (), Yi Yang () and Tian-Ling Ren ()
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Aobo Cheng: Tsinghua University
Xin Li: Tsinghua University
Ding Li: Tsinghua University
Zhikang Chen: Tsinghua University
Tianrui Cui: Tsinghua University
Lu-Qi Tao: Tsinghua University
Jinming Jian: Tsinghua University
HuiJun Xiao: Tsinghua University
Wancheng Shao: Tsinghua University
Zeyi Tang: Tsinghua University
Xinyue Li: Tsinghua University
Zirui Dong: Tsinghua University
Houfang Liu: Tsinghua University
Yi Yang: Tsinghua University
Tian-Ling Ren: Tsinghua University

Nature Communications, 2025, vol. 16, issue 1, 1-9

Abstract: Abstract Human-machine interaction has emerged as a revolutionary and transformative technology, bridging the gap between human and machine. Gesture recognition, capitalizing on the inherent dexterity of human hands, plays a crucial role in human-machine interaction. However, existing systems often struggle to meet user expectations in terms of comfort, wearability, and seamless daily integration. Here, we propose a handwriting recognition technology utilizing an intelligent hybrid-fabric wristband system. This system integrates spun-film sensors into textiles to form the smart fabric, enabling intelligent functionalities. A thermal encapsulation process is proposed to bond multiple spun-films without additional materials, ensuring the lightweight, breathability, and stretchability of the spun-film sensors. Furthermore, recognition algorithms facilitate precise accurate handwriting recognition of letters, with an accuracy of 96.63%. This system represents a significant step forward in the development of ergonomic and user-friendly wearable devices for enhanced human-machine interaction, particularly in the virtual world.

Date: 2025
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DOI: 10.1038/s41467-024-55649-1

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