Yarn-based strain sensors (YSSs) have shown great promising in the fabrication of wearable devices for their good comfortability and flexible designability. However, the false signals generated by the changes in the yarn structure of the YSSs are usually ignored. In this study, the generation, the characteristic, and the prediction of these signals were investigated. We recognized that these signals are composed of two negative pseudo peaks and a spurious resistance response plateau. These responses are found to have nothing in common with a true tensile strain, but be attributed to plastic deformation of the fibers. This is due to the fact that the deformation of YSSs exceeds the linear elastic range of the fibers. Although the use of pure elastic fibers can eliminate the spurious resistance response plateau, it will lead to an increase in the pseudo peak to the value compared with a true strain signal peak. Hence, a theoretical model was established to decouple the real signals from the false responses, ensuring the high sensing accuracy of YSSs for applications in wearable devices and artificial intelligence interfaces. This work provides an in-depth understanding of the response of the YSSs, which might provide inspiration and guidance in the design of high-accuracy fiber-based strain sensors.

基于纱线的应变传感器（YSS）因其良好的舒适性和灵活的可设计性而在可穿戴设备的制造中显示出巨大的前景。然而，YSS 纱线结构变化所产生的虚假信号通常被忽略。在这项研究中，研究了这些信号的产生、特征和预测。我们认识到这些信号由两个负伪峰和一个伪电阻响应平台组成。发现这些响应与真正的拉伸应变没有任何共同之处，而是归因于纤维的塑性变形。这是由于 YSS 的变形超过了纤维的线弹性范围。虽然使用纯弹性纤维可以消除杂散电阻响应平台，与真实应变信号峰值相比，它将导致伪峰值增加到该值。因此，建立了一个理论模型来将真实信号与错误响应解耦，确保 YSS 在可穿戴设备和人工智能接口中的应用的高传感精度。这项工作提供了对 YSS 响应的深入理解，这可能为高精度光纤应变传感器的设计提供灵感和指导。