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用于指尖信号检测和人体脉搏监测的灵活弧形微纤维布拉格光栅阵列三维触觉传感器。

Flexible Arc-Shaped Micro-Fiber Bragg Grating Array Three-Dimensional Tactile Sensor for Fingertip Signals Detection and Human Pulse Monitoring.

机构信息

IOT Photonic Integrated Devices and Systems Laboratory, Shenzhen Technology University, Shenzhen 518118, China.

Center for Smart Sensing System, Shenzhen Technology University, Shenzhen 518118, China.

出版信息

ACS Appl Mater Interfaces. 2024 Aug 14;16(32):42986-42994. doi: 10.1021/acsami.4c08909. Epub 2024 Jul 31.

DOI:10.1021/acsami.4c08909
PMID:39083246
Abstract

A flexible arc-shaped micro-Fiber Bragg Grating (mFBG) array three-dimensional tactile sensor for fingertip signal detection and human pulse monitoring is presented. It is based on a three mFBGs array which is embedded in an arc-shaped poly (dimethylsiloxane) (PDMS) elastomer, which can effectively discriminate the normal force, left force, and right force by monitoring the reflected intensity variation of the three mFBGs. Different from the traditional FBG sensors, this sensor measures force by detecting changes in light intensity, effectively avoiding the wavelength cross-sensitivity impact of temperature variations on the sensor performance. This design strategy simplifies the sensor structure, reduces the system complexity and signal interrogation cost, and enhances reliability and practicality. Through systematic experiments, we successfully validated the sensor's superior performance, achieving a minimum detection force of 0.01 N and providing robust data support for practical applications. In addition, the sensor has been used to monitor human pulse accurately. The successful fabrication and experimental validation of this sensor lay a foundation for its widespread application in fields such as robot perception and human vital signal detection.

摘要

提出了一种用于指尖信号检测和人体脉搏监测的灵活弧形微光纤布拉格光栅(mFBG)阵列三维触觉传感器。它基于嵌入在弧形聚二甲基硅氧烷(PDMS)弹性体中的三个 mFBG 阵列,通过监测三个 mFBG 的反射强度变化,可以有效区分正向力、左向力和右向力。与传统的 FBG 传感器不同,该传感器通过检测光强度的变化来测量力,有效地避免了温度变化对传感器性能的波长交叉敏感性影响。这种设计策略简化了传感器结构,降低了系统复杂性和信号询问成本,提高了可靠性和实用性。通过系统实验,我们成功验证了传感器的优越性能,实现了最小检测力为 0.01N,并为实际应用提供了有力的数据支持。此外,该传感器还可用于准确监测人体脉搏。该传感器的成功制作和实验验证为其在机器人感知和人体生命信号检测等领域的广泛应用奠定了基础。

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