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用于手势识别和通信辅助的聚二甲基硅氧烷（PDMS）嵌入式可穿戴光纤布拉格光栅（FBG）传感器

PDMS-embedded wearable FBG sensors for gesture recognition and communication assistance.

作者信息

Xiao Kun, Wang Zhuo, Ye Yudong, Teng Chuanxin, Min Rui

机构信息

Faculty of Arts and Sciences, Beijing Normal University, Zhuhai 519087, China.

Center for Cognition and Neuroergonomics, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Zhuhai 519087, China.

出版信息

Biomed Opt Express. 2024 Feb 27;15(3):1892-1909. doi: 10.1364/BOE.517104. eCollection 2024 Mar 1.

DOI:10.1364/BOE.517104
PMID:38495686
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10942691/
Abstract

This study introduces fiber Bragg grating (FBG) sensors embedded in polydimethylsiloxane (PDMS) silicone elastomer specifically engineered for recognizing intricate gestures like wrist pitch, finger bending, and mouth movement. Sensors with different PDMS patch thicknesses underwent evaluation including thermal, tensile strain, and bending deformation characterization, demonstrating a stability of at least four months. Experiments revealed the FBG sensors' accurate wrist pitch recognition across participants after calibration, confirmed by statistical metrics and Bland-Altman plots. Utilizing finger and mouth movements, the developed system shows promise in assisting post-stroke patients and individuals with disabilities, enhancing their interaction capabilities with the external surroundings.

摘要

本研究介绍了嵌入聚二甲基硅氧烷（PDMS）硅橡胶中的光纤布拉格光栅（FBG）传感器，该硅橡胶经过特殊设计，用于识别诸如手腕俯仰、手指弯曲和嘴巴运动等复杂手势。对具有不同PDMS贴片厚度的传感器进行了评估，包括热、拉伸应变和弯曲变形特性分析，结果表明其稳定性至少为四个月。实验表明，校准后FBG传感器在参与者中能够准确识别手腕俯仰，统计指标和布兰德-奥特曼图证实了这一点。利用手指和嘴巴运动，所开发的系统在帮助中风后患者和残疾人方面显示出前景，增强了他们与外部环境的交互能力。

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