Breathable all-textile pressure sensor with conductivity-modulable polypyrrole for deep learning-enhanced sensing
摘要
Deep learning-enhanced pressure sensors integrate signal processing and sensing capabilities, offering transformative potential in wearable electronics. However, current deep learning-based pressure sensors primarily use petroleum-based polymers for the sensing/encapsulating layers and metallic electrodes. This results in limited biodegradability, poor biocompatibility, and insufficient breathability. Here, we present an all-textile-based pressure sensor that combines tunable-conductivity polypyrrole textiles for the electrode and sensing layers with real-time artificial intelligence algorithms. Eliminating the constraints of metallic electrodes and petroleum-based polymers results in an entire device that exhibits excellent biocompatibility, biodegradability, and breathability. Moreover, the textile sensing layer’s structure ensures pressure-induced conductivity, contributing to high sensitivity and a wide detection range. Based on these high-performance and comfortable textiles, we demonstrate intelligent applications such as health monitoring, software/hardware control, and complex human motion analysis. Our work paves the way for sustainable, breathable, and biocompatible next-generation smart textiles, enabling the development of intelligent and eco-conscious electronic systems.