Song Xian, Liu Xiaoting, Peng Yuxin, Xu Zhen, Liu Wenming, Pang Kai, Wang Jianxiang, Zhong Liang, Yang Qiang, Meng Jun
Department of Sports Science, Zhejiang University, Hangzhou 310058, People's Republic of China.
Department of Polymer Science and Engineering, Zhejiang University, Hangzhou 310027, People's Republic of China.
Nanotechnology. 2021 Mar 5;32(21). doi: 10.1088/1361-6528/abe788.
Flexible and stretchable sensors are emerging and promising wearable devices for motion monitoring. Manufacturing a flexible and stretchable strain sensor with desirable electromechanical performance and excellent skin compatibility plays an essential role in building a smart wearable system. In this paper, a graphene-coated silk-spandex (GCSS) fabric strain sensor is prepared by reducing graphene oxide. The sensor functions as a result of conductive fiber extending and woven structure deforming. The conductive fabric can be stretched towards 60% with high sensitivity, and its performance remains constant after a 1000-cycle test. Based on its superior performance, the GCSS is successfully employed to detect full-range human movement and provide data for deep learning-based gesture recognition. This work offers a desirable method to fabricate low-cost strain sensors for industrial applications such as human movement detection and advanced information science.
柔性可拉伸传感器是用于运动监测的新兴且有前景的可穿戴设备。制造具有理想机电性能和出色皮肤兼容性的柔性可拉伸应变传感器对于构建智能可穿戴系统至关重要。本文通过还原氧化石墨烯制备了一种石墨烯包覆氨纶丝（GCSS）织物应变传感器。该传感器通过导电纤维的伸展和编织结构的变形发挥作用。这种导电织物能够以高灵敏度拉伸至60%，并且在经过1000次循环测试后其性能保持不变。基于其卓越性能，GCSS成功用于检测人体的全范围运动，并为基于深度学习的手势识别提供数据。这项工作为制造用于人体运动检测和先进信息科学等工业应用的低成本应变传感器提供了一种理想方法。
