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

Author

Listed:
  • Aobo Cheng

    (Tsinghua University
    Tsinghua University)

  • Xin Li

    (Tsinghua University
    Tsinghua University)

  • Ding Li

    (Tsinghua University
    Tsinghua University)

  • Zhikang Chen

    (Tsinghua University
    Tsinghua University)

  • Tianrui Cui

    (Tsinghua University
    Tsinghua University)

  • Lu-Qi Tao

    (Tsinghua University
    Tsinghua University)

  • Jinming Jian

    (Tsinghua University
    Tsinghua University)

  • HuiJun Xiao

    (Tsinghua University
    Tsinghua University)

  • Wancheng Shao

    (Tsinghua University
    Tsinghua University)

  • Zeyi Tang

    (Tsinghua University
    Tsinghua University)

  • Xinyue Li

    (Tsinghua University
    Tsinghua University)

  • Zirui Dong

    (Tsinghua University
    Tsinghua University)

  • Houfang Liu

    (Tsinghua University)

  • Yi Yang

    (Tsinghua University
    Tsinghua University)

  • Tian-Ling Ren

    (Tsinghua University
    Tsinghua University
    Tsinghua University)

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.

Suggested Citation

  • 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 & Tian-Ling Ren, 2025. "An intelligent hybrid-fabric wristband system enabled by thermal encapsulation for ergonomic human-machine interaction," Nature Communications, Nature, vol. 16(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-024-55649-1
    DOI: 10.1038/s41467-024-55649-1
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