A High-Humidity Resistance Flexible Tribovoltaic Smart Textile for Sign Language and Athletic Status Recognition
Ruifei Luan , Guoxu Liu , Zhi Zhang , Liang Qiao , Jie Cao , Ziyue Wang , Feiling Luo , Beibei Fan , Likun Gong , Yuan Feng , Chi Zhang
Advanced Fiber Materials ›› : 1 -12.
A High-Humidity Resistance Flexible Tribovoltaic Smart Textile for Sign Language and Athletic Status Recognition
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.
The application and prospect of flexible smart textile in the fields of wearable devices and E-skin.
Smart textile / Tribovoltaic effect / PEG doped / Sign language recognition / High-humidity resistance
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| [2] |
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| [3] |
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| [4] |
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| [5] |
|
| [6] |
|
| [7] |
|
| [8] |
|
| [9] |
|
| [10] |
|
| [11] |
|
| [12] |
|
| [13] |
|
| [14] |
|
| [15] |
|
| [16] |
|
| [17] |
|
| [18] |
|
| [19] |
|
| [20] |
|
| [21] |
|
| [22] |
|
| [23] |
|
| [24] |
|
| [25] |
|
| [26] |
|
| [27] |
|
| [28] |
|
| [29] |
|
| [30] |
|
| [31] |
|
| [32] |
|
| [33] |
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| [34] |
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Donghua University, Shanghai, China
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