Fabric-Based Ultra-Linear High-Sensitivity Flexible Sensor with Strain/Temperature Perception Capabilities based on GR/SR-Tuned Graphene Oxide Defects for Physiological Risk Monitoring

With the improvement of health awareness and the rapid development of Internet of Things technology, intelligent wearable sensors that support multi-parameter physiological monitoring have become the research frontier. This paper develops a fabric-based dual-mode sensor, which can simultaneously achieve strain and temperature sensing functions. Lycra cotton was adopted as the flexible substrate, and the sensing units were firmly integrated by optimizing the impregnation-drying process. The experiment found that graphene (GR) has excellent mechanical strain response characteristics, while reduced graphene oxide (rGO) shows ideal temperature conduction performance. Silicone rubber (SR) is not only highly compatible with fabric substrates, but also can work in synergy with rGO/GR to construct three-dimensional conductive pathways.

By systematically regulating the ratio of rGO/GR and the number of dip coating times, the strain sensitivity (15) and linearity (0.99) of the sensor were optimized, and the physical model of micro-nano structures was innovatively introduced to explain the strain sensing mechanism. In terms of temperature sensing, GR forms continuous adhesion at the rGO interface through SR, and the constructed three-dimensional conductive network achieves wide-range detection from 20 to 48° C. The temperature coefficient of resistance reaches -1.438°C-1 and the linearity remains at 0.99. During the prototype test, this sensor was successfully applied in tracking the sleeping position status of young children and early warning of dangerous actions beside the bed, confirming its application potential in realizing multimodal sensing in the field of intelligent health monitoring.