Passive optical detection of a vibrating surface

Clark, F. O.; Penny, Ryan; Pereira, W. E.; Kielkopf, John F.; Cline, Jason A.

doi:10.1117/2.1201407.005544

Cited by 1 publication

(1 citation statement)

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“…It will modulate the scattered intensity of ambient light, and by capturing these temporal changes in modulated intensity, one can extract vibration properties of the surface being imaged. Using the high dynamic range cameras, one can determine which local regions of the vibrating object are being analyzed, thus providing good observational flexibility [19]. Many extraction algorithms had been developed to analyze the vibration characteristics of the vibrating body, i.e., based on the Digital Image Correlation Technique (DIC) with the Fast Fourier Transform (FFT) algorithm, as described in the studies [20][21][22].…”

Section: Imaging Of Vibrating Surfacementioning

confidence: 99%

Performance Evaluation of the Webcam-Based Contactless Respiratory Rate Monitoring System

Nasution¹,

Ibrahim²,

Asani³

et al. 2022

I2M

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Continuous monitoring of the respiratory rate is necessary, particularly for patients stationed in the hospital's wards, to assure their physical conditions are medically controlled. We tested the developed webcam-based contactless respiratory rate monitoring system on twenty healthy volunteer human subjects (age 20-25 years old) who provided informed consent to participate in the research. Subjects are asked to breathe with the breath rate following the guiding flash lamps emitted from mobile phones at specific rates. Results show that the developed system is capable of measuring respiratory rate with an average error of 0-2% and with an average coefficient of variance (COV) of 0-5% among all subjects tested and for all ranges of respiratory rates investigated. These results are quite promising for further use of this system as an accurate and precise continuous respiratory rate monitoring system in clinical settings.

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