Vibration sensing-based human and infrastructure safety/health monitoring: A survey

Valero, Maria; Li, Fangyu; Zhao, Liang; Zhang, Chi; Garrido, José M.; Han, Zhu

doi:10.1016/j.dsp.2021.103037

Cited by 21 publications

(6 citation statements)

References 175 publications

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“…[62][63][64] Therefore, it is important to establish a thorough understanding of both soft acoustic/vibration sensors and the relevant ML algorithms to benefit most from these sensors in complex application scenarios. Although there have been a number of reviews on soft acoustic/vibration sensors [65][66][67][68][69][70][71] and their complementing ML algorithms, [65,72] a comprehensive discussion on state-of-the-art soft acoustic/vibration sensors and appropriate ML algorithms needed for their signal processing is yet to be presented.…”

Section: Introductionmentioning

confidence: 99%

Emerging Trends in Soft Electronics: Integrating Machine Intelligence with Soft Acoustic/Vibration Sensors

Lee

Cho

2023

Advanced Materials

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In the last decade, soft acoustic/vibration sensors have gained tremendous research interest due to their unique ability to detect broadband acoustic/vibration stimuli, potentializing futuristic applications including voice biometrics, voice‐controlled human–machine‐interfaces, electronic skin, and skin‐mountable healthcare devices. Importantly, to benefit most from these sensors, it is inevitable to use machine learning (ML) to process their output signals; with ML, a more accurate and efficient interpretation of original data is possible. This paper is dedicated to offering an overview of recent advances empowering the development of soft acoustic/vibration sensors and their signal processing using ML. First, the key performance parameters of the sensors are discussed. Second, popular transduction mechanisms for the sensors are addressed, followed by an in‐depth overview of each type, covering materials used, structural designs, and sensing performances. Third, potential applications of the sensors are elaborated and fourth, a thorough discussion on ML is conducted, exploring different types of ML, specific ML algorithms suitable for processing acoustic/vibration signals, and current trends in ML‐assisted applications. Finally, the challenges and potential opportunities in soft acoustic/vibration sensor and ML research are revealed to offer new insights into future prospects in these fields.

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Section: Introductionmentioning

confidence: 99%

Emerging Trends in Soft Electronics: Integrating Machine Intelligence with Soft Acoustic/Vibration Sensors

Lee

Cho

2023

Advanced Materials

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“…As an important indicator of object performance testing, vibration measurement has become one of the important research hotspots in the field of scientific research and engineering in recent years in the safe operation of large-scale infrastructure and the smooth operation of engineering construction [1]- [3] . Among them, the vibration measurement technology based on optical fiber has attracted much attention because of its advantages of corrosion resistance, high sensitivity, large dynamic range, immunity from electromagnetic interference and remote operation [4]- [7] .…”

Section: Introductionmentioning

confidence: 99%

Research on the application of sagnac interference combined with multimode interference in vibration measurement

Tian,

Li,

Yang

et al. 2023

3rd International Conference on Laser, Optics, and Optoelectronic Technology (LOPET 2023)

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In order to further improve the frequency discrimination ability of fiber optic vibration sensor, this paper uses the multimode fiber (MMF) coupler to construct the Sagnac interferometer, which combines the multimode interference with Sagnac interferometer. Multimode fiber couplers with splitting ratio of 1:1 were fabricated by using MMFs with core diameters of 105 and 62.5 μm respectively, and the Sagnac loops were constructed with the couplers. For comparison and analysis, single-mode-multimode-single-mode interference structures and Mach-Zehnder interferometer were also fabricated by MMFs respectively. Furthermore, single mode fiber based Sagnac loop was also fabricated. Through a large number of experiments, these structures were used to measure vibration frequency, and their performance were compared in detail in the frequency range and the frequency accuracy of vibration detection. The results showed that the intensity difference between the primary peak and the secondary peak of the frequency spectrum obtained by the Sagnac interferometer with the core diameter of 105 μm step-index MMF is greater than 20 dB in the range of 0.3 to 20 kHz with frequency deviation in the order of Hz. With the large detectable frequency range and frequency recognition capability and higher sensitivity to the low frequency vibration, the Sagnac interferometer combined with multi-mode interference provided by the 105 μm step-index MMF is a kind of structure with the best performance among these studied structures in vibration measurement, which provides a new scheme for the research of vibration detection.

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“…In engineering, vibration sensing is an important technology for localizing sources of interest and monitoring or detecting potential issues with equipment, which can avoid accidents or economical loss [ 1 , 2 ]. In biology, vast numbers of animals are adept at vibration sensing, which for arthropods is usually performed through sensors embedded in their numerous legs [ 3 , 4 ].…”

Section: Introductionmentioning

confidence: 99%

Spider dynamics under vertical vibration and its implications for biological vibration sensing

Wu,

Miller,

Cicirello

et al. 2023

J. R. Soc. Interface.

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Often overlooked, vibration transmission through the entire body of an animal is an important factor in understanding vibration sensing in animals. To investigate the role of dynamic properties and vibration transmission through the body, we used a modal test and lumped parameter modelling for a spider. The modal test used laser vibrometry data on a tarantula, and revealed five modes of the spider in the frequency range of 20–200 Hz. Our developed and calibrated model took into account the bounce, pitch and roll of the spider body and bounce of all the eight legs. We then performed a parametric study using this calibrated model, varying factors such as mass, inertia, leg stiffness, damping, angle and span to study what effect they had on vibration transmission. The results support that some biomechanical parameters can act as physical constraints on vibration sensing. But also, that the spider may actively control some biomechanical parameters to change the signal intensity it can sense. Furthermore, our analysis shows that the parameter changes in front and back legs have a greater influence on whole system dynamics, so may be of particular importance for active control mechanisms to facilitate biological sensing functions.

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Vibration sensing-based human and infrastructure safety/health monitoring: A survey

Cited by 21 publications

References 175 publications

Emerging Trends in Soft Electronics: Integrating Machine Intelligence with Soft Acoustic/Vibration Sensors

Emerging Trends in Soft Electronics: Integrating Machine Intelligence with Soft Acoustic/Vibration Sensors

Research on the application of sagnac interference combined with multimode interference in vibration measurement

Spider dynamics under vertical vibration and its implications for biological vibration sensing

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