A Skin‐Like and Highly Stretchable Optical Fiber Sensor with the Hybrid Coding of Wavelength–Light Intensity

Li, Tianliang; Su, Yifei; Chen, Fayin; Liao, Xinqin; Wu, Qin; Kang, Yan; Tan, Yuegang; Zhou, Zude

doi:10.1002/aisy.202100193

Cited by 28 publications

(11 citation statements)

References 40 publications

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“…Optical waveguide-based sensors have emerged as an intriguing alternative for tactile sensing due to their highly attractive advantages such as freedom from EMI, inherent electrical isolation, and large bandwidth [29] ; they also have the potential to achieve multimodal sensing by integrating different light properties (e.g., intensity, wavelength, phase, and polarization). [30,31] Various attempts have been made to develop tactile sensors based on optical mechanisms including interferometric cavities, Fiber Bragg gratings, and microfibers. [31][32][33][34][35][36][37] These sensors, however, are mostly composed of waveguides made from rigid materials (e.g., silicon and glass), resulting in limited mechanical compliance.…”

Section: Introductionmentioning

confidence: 99%

“…[30,31] Various attempts have been made to develop tactile sensors based on optical mechanisms including interferometric cavities, Fiber Bragg gratings, and microfibers. [31][32][33][34][35][36][37] These sensors, however, are mostly composed of waveguides made from rigid materials (e.g., silicon and glass), resulting in limited mechanical compliance. Recently, polymeric materials with tunable optical and mechanical properties have been investigated to produce optical waveguides that could be mechanically deformed.…”

Section: Introductionmentioning

confidence: 99%

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Flexible Plasmonic Optical Tactile Sensor for Health Monitoring and Artificial Haptic Perception

Guo

Shang

Gao

et al. 2023

Adv Materials Technologies

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specialized to respond to various physical stimuli (e.g., temperature, pressure, and stretching), humans can rapidly and accurately locate and identify objects via haptic perception. [5][6][7] To emulate human skin with haptic pressure sensation, tactile sensors capable of measuring contact pressure/force have been extensively exploited with diverse nanomaterials and nanostructures over the past decade. [8][9][10][11][12][13] For example, Gong et al. proposed a flexible and highly sensitive pressure sensor by sandwiching ultrathin gold nanowire between elastomer sheets that allowed real-time monitoring of arterial blood pressure through skin surface contact. [10] Cao et al. demonstrated enhanced tactile sensitivity for surface texture discerning based on an optimized micropyramid structure assembled with a single-walled carbon nanotube. [13] The general principle of such sensors is to transduce the mechanical stimuli into electrical signals through the effects of piezoelectricity, capacitance, or piezoresistance. [14,15] Tactile sensors made of piezoelectric elements have shown advantages such as high sensitivity, low power consumption, and high response frequency, which make them, especially promising for dynamic pressure measurements such as slip and vibration detection in robotics. [15][16][17] However, the piezoelectric effects are generally temperature-dependent, and not suitable for static pressure measurement due to charge leakage. [18,19] Capacitive sensors can monitor both static and dynamic pressure with the merits of temperature independence and long-term stability but suffer from parasitic effects, complex circuits, and limited working range. [20][21][22] By comparison, piezoresistive sensors have been more predominantly used for tactile sensing due to their simple structure, easy readout, and broad sensing range. [23,24] However, they typically exhibit undesirable hysteresis and signal drift, inducing practical difficulties in high-precision measurements. [18] Besides, other issues such as electromagnetic interference (EMI) susceptibility, electrical safety, and biocompatibility of the electronic components in medical settings, are also common concerns of all aforementioned approaches that impair their widespread applications. [25,26] Recently, there have also been efforts in developing tactile sensors by using ion conductors and ionic luminophores that can convert mechanical stimuli into luminescence. [27,28] These sensors provide visual-tactile feedback with spatially-resolved capability, but suffer from long response

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Flexible Plasmonic Optical Tactile Sensor for Health Monitoring and Artificial Haptic Perception

Guo

Shang

Gao

et al. 2023

Adv Materials Technologies

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“…As wearable electronic devices are rapidly developing, the preparation of flexible sensors has opened up broad prospects, such as electronic skin, [1][2][3][4][5][6] health monitoring, [7][8][9][10][11][12][13][14][15][16] and intelligent robots. [17][18][19][20][21][22][23][24] Flexible sensors detect various external stimuli, including strain, pressure, and magnetic field, by monitoring the response signal.…”

Section: Introductionmentioning

confidence: 99%

Bioinspired Dual‐Mode Stretchable Strain Sensor Based on Magnetic Nanocomposites for Strain/Magnetic Discrimination

Guo

Hong

Zhao

et al. 2022

Small

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Recently, flexible stretchable sensors have been gaining attention for their excellent adaptability for electronic skin applications. However, the preparation of stretchable strain sensors that achieve dual‐mode sensing while still retaining ultra‐low detection limit of strain, high sensitivity, and low cost is a pressing task. Herein, a high‐performance dual‐mode stretchable strain sensor (DMSSS) based on biomimetic scorpion foot slit microstructures and multi‐walled carbon nanotubes (MWCNTs)/graphene (GR)/silicone rubber (SR)/Fe3O4 nanocomposites is proposed, which can accurately sense strain and magnetic stimuli. The DMSSS exhibits a large strain detection range (≈160%), sensitivity up to 100.56 (130–160%), an ultra‐low detection limit of strain (0.16% strain), and superior durability (9000 cycles of stretch/release). The sensor can accurately recognize sign language movement, as well as realize object proximity information perception and whole process information monitoring. Furthermore, human joint movements and micro‐expressions can be monitored in real‐time. Therefore, the DMSSS of this work opens up promising prospects for applications in sign language pose recognition, non‐contact sensing, human‐computer interaction, and electronic skin.

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“…Touch sensors evolve from a single function with simple structure to multiple functions with high-resolution array structure, and their current trend is to achieve multiple functions based on ingenious design. Nowadays, electronic programmable touch sensors as interactive platforms for virtual reality (VR) [ 9 , 10 ], augmented reality (AR) [ 11 , 12 ], and metaverse are restricted to the limited function with instability and signal interference and the intricate structure with large number of electrodes.…”

Section: Introductionmentioning

confidence: 99%

An All-In-One Multifunctional Touch Sensor with Carbon-Based Gradient Resistance Elements

et al. 2022

Self Cite

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Highlights Carbon-based gradient resistance element structure is proposed for the construction of multifunctional touch sensor, which will promote wide detection and recognition range of multiple mechanical stimulations. Multifunctional touch sensor with gradient resistance element and two electrodes is demonstrated to eliminate signals crosstalk and prevent interference during position sensing for human–machine interactions. Biological sensing interface based on a deep-learning-assisted all-in-one multipoint touch sensor enables users to efficiently interact with virtual world. Abstract Human–machine interactions using deep-learning methods are important in the research of virtual reality, augmented reality, and metaverse. Such research remains challenging as current interactive sensing interfaces for single-point or multipoint touch input are trapped by massive crossover electrodes, signal crosstalk, propagation delay, and demanding configuration requirements. Here, an all-in-one multipoint touch sensor (AIOM touch sensor) with only two electrodes is reported. The AIOM touch sensor is efficiently constructed by gradient resistance elements, which can highly adapt to diverse application-dependent configurations. Combined with deep learning method, the AIOM touch sensor can be utilized to recognize, learn, and memorize human–machine interactions. A biometric verification system is built based on the AIOM touch sensor, which achieves a high identification accuracy of over 98% and offers a promising hybrid cyber security against password leaking. Diversiform human–machine interactions, including freely playing piano music and programmatically controlling a drone, demonstrate the high stability, rapid response time, and excellent spatiotemporally dynamic resolution of the AIOM touch sensor, which will promote significant development of interactive sensing interfaces between fingertips and virtual objects.

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A Skin‐Like and Highly Stretchable Optical Fiber Sensor with the Hybrid Coding of Wavelength–Light Intensity

Cited by 28 publications

References 40 publications

Flexible Plasmonic Optical Tactile Sensor for Health Monitoring and Artificial Haptic Perception

Flexible Plasmonic Optical Tactile Sensor for Health Monitoring and Artificial Haptic Perception

Bioinspired Dual‐Mode Stretchable Strain Sensor Based on Magnetic Nanocomposites for Strain/Magnetic Discrimination

An All-In-One Multifunctional Touch Sensor with Carbon-Based Gradient Resistance Elements

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