Multi-Scenario Applications of Multi-Dimensional Yarn-Based Wearable Integrated Sensors

Abstract

1D yarn sensors, crucial for smart textiles, face challenges in achieving diverse functionalities, multiple applications, and durability in harsh environments. Herein, a simple strategy is proposed to prepare reduced graphene oxide-polyimide yarns (rGO-PYs), constructing functional and multi-dimensional sensors for multi-scenario applications. rGO-PYs can detect multiple mechanical stimuli, and exhibit a broad bending and pressure response range (0°–180° and 0.12–62.39 KPa), quick response and recovery time (both <100 ms), and excellent cyclic stability. It features real-time monitoring of human activities, such as joint movements, speech, writing, respiratory, pulse, and heart rate. rGO-PYs exhibit a remarkable resilience to harsh environments, whether in liquid nitrogen (−196 °C), high temperature (300 °C), acid, or base. Crucially, expanded into an integrated 2D fabric, rGO-PYs maintain their exceptional multi-dimensional sensing. The point contact pressure sensor (PCPS) and pressure sensing array showed remarkable sensing performance in identifying pressure and its distribution. This work establishes a comprehensive system from preparation to application, encompassing 1D yarns large-scale fabrication, functional sensing validation, integration into multi-dimensional sensors, and diverse cross-scenario applications. The innovative system would transform traditional yarns into intelligent fabrics, further advancing functional yarns into multi-dimensional sensors (1D to 2D and 3D), enabling their diverse multi-scenario applications.