灵敏度(控制系统)
可穿戴计算机
压力传感器
电容感应
计算机科学
材料科学
检出限
纳米技术
化学
嵌入式系统
工程类
电子工程
机械工程
色谱法
操作系统
作者
Huixin Yu,Qingzhou Wang,Yazhen Wang,Tao Sun,Qihui Zhou,Rajendra Dhakal,Leonid Chernogor,Dongjie Zhang,Yuanyue Li,Zhao Yao,Yang Li
标识
DOI:10.1016/j.cej.2024.151592
摘要
Flexible pressure sensors are widely used in wearable devices, especially in the field of human–computer interaction. Hence, the development of flexible pressure sensors with excellent sensitivity and detection range is essential. This paper introduces a flexible capacitive pressure sensor based on glycerol@phosphoric acid nanofibers, showcasing remarkable properties, including high sensitivity (53.97 kPa−1 at 300–1200 kPa), exceptionally wide detection range (1800 kPa), faster response/recovery time than human skin (14.4/9.6 ms), extremely low detection limit (5 Pa), outstanding stability (>10,000 fatigue tests), and excellent biocompatibility. In addition, the sensor was seamlessly integrated with deep learning algorithms, embedded systems, and internet technologies to develop a comprehensive human posture recognition system, which can adeptly capture and identify intricate human movements with an accuracy rate over 98 %. This system establishes a diagnostic channel between home patients and rehabilitation experts. Owing to its excellent sensitivity and detection range, the developed sensor presents promising prospects for future advancements in human–computer interaction.
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