Fully‐Printed Bimodal E‐Textiles with Synchronized Temperature‐Pressure Sensing for Next‐Generation Adaptive Wearables

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Abstract
The growing demand for integrated temperature‐pressure sensing in human‐machine interaction and health monitoring makes smart textiles an ideal medium due to their comfort, breathability, and flexibility. However, a key challenge is finding a reliable method to integrate high‐performance dual‐mode sensors into textile substrates while ensuring effective signal decoupling. Herein, a flexible, ultrathin, and signal‐decoupled temperature‐pressure dual‐mode sensing electronic textile is proposed. The resistive temperature sensing unit utilizes a multi‐stage phase transition mechanism to achieve an ultrahigh temperature coefficient of resistance (up to 125.9%/°C) and a broad temperature sensing range (0°C–50°C). The capacitive pressure sensing unit exhibits high sensitivity (up to 62.3 kPa −1 ) and rapid pressure response and recovery times (30 ms/60 ms). By integrating machine learning algorithms, precise recognition of different objects being grasped is achieved. Furthermore, through the fabrication of a sensor array, spatial mapping of pressure and temperature distributions on a simulated body surface is successfully realized, offering a promising route toward developing versatile health‐monitoring platforms.
Funding Information
  • National Natural Science Foundation of China (52373252)

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