Wan Xiaoqian, Shen Yunchu, Luo Tian, Xu Mingming, Cong Honglian, Chen Chaoyu, Jiang Gaoming, He Haijun
Engineering Research Center of Knitting Technology, Ministry of Education, College of Textile Science and Engineering, Jiangnan University, Wuxi 214122, China.
School of Science, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, P. R. China.
ACS Sens. 2024 Jun 28;9(6):2989-2998. doi: 10.1021/acssensors.4c00158. Epub 2024 May 21.
Flexible, air permeable and elastic self-powered sensors for human motion monitoring and assisted medical rehabilitation have recently become a hot research topic. However, most current piezoelectric sensors can not account for many characteristics. Addressing this challenge, an all-textile piezoelectric sensor (ATPS) based on 3D structured knitted fabric electrodes is reported. The ATPS consists of a piezoelectric element polyvinylidene fluoride nanofiber membrane, flexible knitted fabric electrodes, and an elastic self-adhesive bandage. Based on the flexible and efficient knitting technology, the sensor has the advantages of low cost, flexibility, simple structure, and convenient large-area manufacturing. Experimental and finite element simulation results show that the knitting pattern of fabric electrodes can enhance the piezoelectric output of ATPS. The optimal ATPS has a high voltage response sensitivity of up to 0.68 V/kPa. The proposed ATPS responds to a wide range of input forces from 0.098 to 724 N in self-powered mode, verifying its feasibility as a tactile sensor for human motion detection and recognition (throat swallowing, wrist bending, elbow bending, knee bending, walking slowly, running fast) and as a pressure sensor (Morse code, digit recognition) and demonstrating its potential for motion tracking, medical rehabilitation, and human-computer interaction.
用于人体运动监测和辅助医疗康复的柔性、透气且有弹性的自供电传感器近来已成为一个热门研究课题。然而,当前大多数压电传感器无法兼顾多种特性。为应对这一挑战,本文报道了一种基于三维结构化针织织物电极的全纺织压电传感器(ATPS)。该ATPS由压电元件聚偏二氟乙烯纳米纤维膜、柔性针织织物电极和弹性自粘绷带组成。基于柔性高效的针织技术,该传感器具有成本低、柔韧性好、结构简单以及便于大面积制造等优点。实验和有限元模拟结果表明,织物电极的针织图案能够增强ATPS的压电输出。最优的ATPS具有高达0.68 V/kPa的电压响应灵敏度。所提出的ATPS在自供电模式下能响应从0.098到724 N的广泛输入力,验证了其作为用于人体运动检测与识别(吞咽、手腕弯曲、肘部弯曲、膝盖弯曲、慢走、快跑)的触觉传感器以及压力传感器(摩尔斯电码、数字识别)的可行性,并展示了其在运动跟踪、医疗康复和人机交互方面的潜力。