2023
DOI: 10.1016/j.measurement.2023.113716
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Review on smartphone sensing technology for structural health monitoring

Hassan Sarmadi,
Alireza Entezami,
Ka-Veng Yuen
et al.
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Cited by 35 publications
(13 citation statements)
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“…Apart from the mentioned sensors, smartphone sensing technology has emerged as an effective and affordable, and effective system for SHM. This is because a modern smartphone is equipped with various built-in sensors and technologies, especially a triaxial accelerometer, gyroscope, global positioning system, high-resolution cameras, and wireless data communications, which are suitable for vibration-based (vibration measurement, modal identification, FE model updating, damage assessment, seismic health monitoring, structural comfort assessment) and vision-based (displacement measurement, FE model updating, surface damage assessment) SHM applications [78].…”
Section: Data Acquisitionmentioning
confidence: 99%
“…Apart from the mentioned sensors, smartphone sensing technology has emerged as an effective and affordable, and effective system for SHM. This is because a modern smartphone is equipped with various built-in sensors and technologies, especially a triaxial accelerometer, gyroscope, global positioning system, high-resolution cameras, and wireless data communications, which are suitable for vibration-based (vibration measurement, modal identification, FE model updating, damage assessment, seismic health monitoring, structural comfort assessment) and vision-based (displacement measurement, FE model updating, surface damage assessment) SHM applications [78].…”
Section: Data Acquisitionmentioning
confidence: 99%
“…6 These include pressure sensors, useful in altimetry and potentially in blood pressure monitoring; thermal imaging sensors, which could play a role in fever detection; and sensors for distance, gravity, and direction, offering broader applications in fitness and navigation. 7–9 The latest research in this field predominantly revolves around enhancing optical and biochemical sensors, refining motion detectors, and improving environmental sensors. 10–12…”
Section: Introductionmentioning
confidence: 99%
“…Zhou et al (2022) proposed VMD and TFPF hybrid algorithm for high-G MEMS accelerometer denoising, optimizing decomposition via MOPSO, separating noise from information IMFs and improving accuracy and fidelity. Sarmadi et al (2023), article reviews smartphone-based SHM, emphasizing built-in sensors' efficacy for civil structure monitoring, exploring measurement techniques, apps and diverse application domains and enhancing understanding of recent SHM studies. The latest studies supplement the principle and enhance the credibility of the experiment.…”
Section: Introductionmentioning
confidence: 99%