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<p>Smart textiles demonstrate transformative potential for robotics and wearable applications, but their operational stability remains critically dependent on environmental conditions. Herein, we proposed a high-humidity resistance flexible knitted tribovoltaic smart textile (TST), which was prepared of Al wire and poly (3,4-ethylenedioxythiophene): poly (styrene sulfonate), and polyethylene glycol-based conductive cotton. Compared to traditional triboelectric textile that suffer from severe electrical output degradation or even signal failure in humid environments, the TST achieves advancement in electromechanical stability at high humidity. Under extreme conditions (85% RH), the open-circuit voltage and short-circuit current of TST are 0.88&#xa0;V and 8.12 μA, exhibiting exceptional moisture resistance. Attaching to human joints (wrists, knees, fingers, etc.), the TST can effectively monitor the movement state of the human body. By integrating it with machine learning technology, the recognition and sensing of sign language gestures can be realized, whose recognition accuracy of eight different sign language gestures can reach 98.75%. This work demonstrates the application potential of tribovoltaic wearable electronic skin in fields such as motion monitoring and robotics.</p> Graphical Abstract <p> The application and prospect of flexible smart textile in the fields of wearable devices and E-skin.</p>

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A High-Humidity Resistance Flexible Tribovoltaic Smart Textile for Sign Language and Athletic Status Recognition

  • 期刊论文

  • 发表日期：

    2026年2月12日

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  • Ruifei Luan,
  • Guoxu Liu,
  • Zhi Zhang,
  • Liang Qiao,
  • Jie Cao,
  • Ziyue Wang,
  • Feiling Luo,
  • Beibei Fan,
  • Likun Gong,
  • Yuan Feng,
  • Chi Zhang

摘要

Smart textiles demonstrate transformative potential for robotics and wearable applications, but their operational stability remains critically dependent on environmental conditions. Herein, we proposed a high-humidity resistance flexible knitted tribovoltaic smart textile (TST), which was prepared of Al wire and poly (3,4-ethylenedioxythiophene): poly (styrene sulfonate), and polyethylene glycol-based conductive cotton. Compared to traditional triboelectric textile that suffer from severe electrical output degradation or even signal failure in humid environments, the TST achieves advancement in electromechanical stability at high humidity. Under extreme conditions (85% RH), the open-circuit voltage and short-circuit current of TST are 0.88 V and 8.12 μA, exhibiting exceptional moisture resistance. Attaching to human joints (wrists, knees, fingers, etc.), the TST can effectively monitor the movement state of the human body. By integrating it with machine learning technology, the recognition and sensing of sign language gestures can be realized, whose recognition accuracy of eight different sign language gestures can reach 98.75%. This work demonstrates the application potential of tribovoltaic wearable electronic skin in fields such as motion monitoring and robotics.

Graphical Abstract

The application and prospect of flexible smart textile in the fields of wearable devices and E-skin.