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Wearable and Skin‐Mountable Fiber‐Optic Strain Sensors Interrogated by a Free‐Running, Dual‐Comb Fiber Laser
Author(s) -
Guo Jingjing,
Zhao Kangjun,
Zhou Bingqian,
Ning Wen,
Jiang Kaili,
Yang Changxi,
Kong Lingjie,
Dai Qionghai
Publication year - 2019
Publication title -
advanced optical materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.89
H-Index - 91
ISSN - 2195-1071
DOI - 10.1002/adom.201900086
Subject(s) - materials science , fiber bragg grating , optical fiber , wearable computer , fiber optic sensor , laser , optoelectronics , photodiode , optics , acoustics , fiber , wavelength , computer science , composite material , physics , embedded system
Abstract Wearable and skin‐mountable strain sensors are highly demanding for monitoring skin deformations induced by human activities. Realization of such sensor devices based on fiber‐optic approaches offers attractive advantages such as electromagnetic immunity and inherent electric safety in comparison to their electronic counterparts. However, fiber‐optic sensors, conventionally made of stiff silica fibers, are not mechanically compliant with the soft human skins and have limited strain range (<1%) for measuring large deformations. Here, a stretchable fiber Bragg grating (FBG)‐based optical (SFO) strain sensor with skin‐like compliance for human activity monitoring is presented. The SFO sensor is fabricated by a sinuous‐shaped FBG incorporated with a stretchable substrate that responds to strain deformations by shifting of the Bragg wavelength. This structural design enables measurement of various dynamic strains associated with tension, bending and torsion in a large sensing range up to 50%. To facilitate wearable integrations, a novel free‐running fiber laser with coherent dual‐comb output is developed to interrogate the SFO sensors by dual‐comb spectroscopy, which enables fast spectral acquisition with a single photodiode. It is shown that the SFO strain sensors can be used for wearable and skin‐mountable detection of diverse human activities including breathing, phonation, facial expression, and joint movements in real time.