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基于银纳米线的柔性应变传感器用于人体运动检测。

Silver Nanowire-Based Flexible Strain Sensor for Human Motion Detection.

机构信息

School of Material Science and Technology, Jiangxi University of Science and Technology, Ganzhou 341000, China.

Key Laboratory of Human-Machine Intelligence-Synergy Systems of Chinese Academy of Sciences (CAS), Shenzhen Institutes of Advanced Technology, CAS, Shenzhen 518055, China.

出版信息

Sensors (Basel). 2024 May 23;24(11):3329. doi: 10.3390/s24113329.

Abstract

Accurately capturing human movements is a crucial element of health status monitoring and a necessary precondition for realizing future virtual reality/augmented reality applications. Flexible motion sensors with exceptional sensitivity are capable of detecting physical activities by converting them into resistance fluctuations. Silver nanowires (AgNWs) have become a preferred choice for the development of various types of sensors due to their outstanding electrical conductivity, transparency, and flexibility within polymer composites. Herein, we present the design and fabrication of a flexible strain sensor based on silver nanowires. Suitable substrate materials were selected, and the sensor's sensitivity and fatigue properties were characterized and tested, with the sensor maintaining reliability after 5000 deformation cycles. Different sensors were prepared by controlling the concentration of silver nanowires to achieve the collection of motion signals from various parts of the human body. Additionally, we explored potential applications of these sensors in fields such as health monitoring and virtual reality. In summary, this work integrated the acquisition of different human motion signals, demonstrating great potential for future multifunctional wearable electronic devices.

摘要

准确捕捉人体运动是健康状态监测的关键要素,也是实现未来虚拟现实/增强现实应用的必要前提。具有卓越灵敏度的灵活运动传感器能够通过将物理活动转换为电阻波动来检测这些活动。由于银纳米线具有出色的导电性、透明度和在聚合物复合材料中的柔韧性,因此已成为开发各种类型传感器的首选材料。本文介绍了一种基于银纳米线的柔性应变传感器的设计和制造。选择了合适的基底材料,并对传感器的灵敏度和疲劳性能进行了表征和测试,传感器在经过 5000 次变形循环后仍保持可靠性。通过控制银纳米线的浓度来制备不同的传感器,以实现从人体各个部位收集运动信号。此外,我们还探索了这些传感器在健康监测和虚拟现实等领域的潜在应用。总之,这项工作集成了不同人体运动信号的采集,为未来多功能可穿戴电子设备的发展展示了巨大的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3591/11174821/0573fe32a149/sensors-24-03329-g001.jpg

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