Department of Organic Materials and Fiber Engineering, Soongsil University, Seoul 06978, Korea.
Sensors (Basel). 2022 Apr 20;22(9):3152. doi: 10.3390/s22093152.
As an aspect of intelligent clothing, e-textile sensors can flexibly sense and transmit information about human bodies and environments. However, difficulties relating to their technology and the variation in textile materials employed in their manufacture still limit their ability to analyze and be applied. The authors' previous publication deployed a pressure sensor with warp-knitted spacer fabrics, wet-knitted fabrics, Ag-yarns, and Fe-yarns. An equivalent circuit analyzed the resistance behavior with some effects of the Ag-coated twisted yarns. In the present paper, the authors continue to evaluate the correlation model R-ε and the effects of the Fe staple-fiber spun yarns in detail. Together, the two studies provide an extensive understanding of the textile-related elements that affect pressure sensors. In addition, the process and the analysis (correlation model) could bring the textile sensors here developed close to the manufacturing stage, particularly for high precision/adjustable applications. We also develop a simple touch sensor matrix to demonstrate the potential of the sensor and the analyzing method.
作为智能服装的一个方面,电子纺织品传感器可以灵活地感知和传输人体和环境的信息。然而,其技术方面的困难以及制造过程中使用的纺织材料的变化,仍然限制了它们的分析和应用能力。作者之前的出版物使用经编间隔织物、湿编织物、银丝和铁丝纱线部署了一个压力传感器。一个等效电路分析了电阻行为及其银丝的一些影响。在本文中,作者继续详细评估 R-ε相关模型和 Fe 短纤维纺丝的影响。这两项研究共同提供了对影响压力传感器的纺织相关因素的广泛了解。此外,这个过程和分析(相关模型)可以使这里开发的纺织传感器接近制造阶段,特别是对于高精度/可调节的应用。我们还开发了一个简单的触摸传感器矩阵来展示传感器和分析方法的潜力。