电容感应
材料科学
电阻式触摸屏
可穿戴计算机
压力传感器
制作
灵敏度(控制系统)
计算机科学
信号(编程语言)
可穿戴技术
织物
智能传感器
钥匙(锁)
电子工程
声学
相(物质)
机制(生物学)
光电子学
航程(航空)
动态范围
理想(伦理)
计算机硬件
数码产品
嵌入式系统
电子皮肤
纳米技术
实时计算
压力测量
作者
Ziyi Gong,Ke Zheng,Qian Wang,Ruoyu Lai,Jian Zou,Xin Guo,Xiao Chen,Wei Hong Wu
摘要
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.
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