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Ultrasensitive Wearable Pressure Sensors with Stress‐Concentrated Tip‐Array Design for Long‐Term Bimodal Identification

Lingjie Xie, Hao Lei, Yina Liu, Bohan Lu, Xuan Qin, Cheng‐Yi Zhu, Haifeng Ji, Zhenqiu Gao, Yifan Wang, Yang‐Yang Lv, Chun Zhao, Ivona Z. Mitrović, Xuhui Sun, Zhen Wen

2024Advanced Materials48 citationsDOI

Abstract

Abstract The great challenges for existing wearable pressure sensors are the degradation of sensing performance and weak interfacial adhesion owing to the low mechanical transfer efficiency and interfacial differences at the skin–sensor interface. Here, an ultrasensitive wearable pressure sensor is reported by introducing a stress‐concentrated tip‐array design and self‐adhesive interface for improving the detection limit. A bipyramidal microstructure with various Young's moduli is designed to improve mechanical transfer efficiency from 72.6% to 98.4%. By increasing the difference in modulus, it also mechanically amplifies the sensitivity to 8.5 V kPa −1 with a detection limit of 0.14 Pa. The self‐adhesive hydrogel is developed to strengthen the sensor–skin interface, which allows stable signals for long‐term and real‐time monitoring. It enables generating high signal‐to‐noise ratios and multifeatures when wirelessly monitoring weak pulse signals and eye muscle movements. Finally, combined with a deep learning bimodal fused network, the accuracy of fatigued driving identification is significantly increased to 95.6%.

Topics & Concepts

Materials scienceWearable computerInterface (matter)Detection limitStress (linguistics)Pressure sensorSIGNAL (programming language)Wearable technologyAdhesiveAcousticsLimit (mathematics)Noise (video)ModulusSensitivity (control systems)OptoelectronicsNanotechnologyComposite materialComputer scienceElectronic engineeringEmbedded systemMechanical engineeringArtificial intelligenceLayer (electronics)Mathematical analysisMathematicsProgramming languageCapillary numberEngineeringPhysicsImage (mathematics)Capillary actionLinguisticsStatisticsPhilosophyAdvanced Sensor and Energy Harvesting MaterialsTactile and Sensory InteractionsMuscle activation and electromyography studies
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