用于传感和能量收集的超疏水摩擦电织物

2020 IEEE 33rd International Conference on Micro Electro Mechanical Systems (MEMS) Pub Date : 2020-01-01 DOI:10.1109/MEMS46641.2020.9056221

Feng Wen, Tianyiyi He, Qiongfeng Shi, Ting Zhang, Chengkuo Lee

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引用次数: 2

摘要

智能纺织品为新一代物联网(iot)可穿戴电子产品铺平了道路。然而，电池依赖和吸湿性的限制限制了自供电纺织品电子产品的实际应用。为了解决这些问题，我们在这里报道了一种基于超疏水纺织品的TENG，它使用一种简单的涂层方法将碳纳米管/TPE组装到纺织品上。基于功能化纺织品的teng具有较强的抗湿性和高湿度环境下的快速恢复能力，可以实现相对高效的生物力学能量收集、防汗人体运动监测，特别是基于超疏水手套界面的手势识别，利用深度学习技术对手语单词进行识别，即使在高湿环境下也能保持较高的识别精度。

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Superhydrophobic Triboelectric Textile for Sensing and Energy Harvesting Applications

Smart textile paves the way to a new generation of wearable electronics of Internet of Things (IoTs). However, the battery-dependent and hygroscopic limitations restrict the practical applications of self-powered textile-based electronics. To solve these problems, here we report a superhydrophobic textile based TENG using a facile coating approach to assemble CNTs/TPE onto textile. With improved anti-humidity and quick recovery capabilities from high moisture environment, the functionalized textile based-TENG enables relatively efficient biomechanical energy harvesting, anti-sweat human motion monitoring, especially gesture recognition of words of sign language based on superhydrophobic glove interface by using deep learning technology, maintaining high recognition accuracy even in high humidity atmosphere.

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2020 IEEE 33rd International Conference on Micro Electro Mechanical Systems (MEMS)

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