Articles with "sound signals" as a keyword



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SmartGrip: grip sensing system for commodity mobile devices through sound signals

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Published in 2019 at "Personal and Ubiquitous Computing"

DOI: 10.1007/s00779-019-01337-7

Abstract: Although many studies have attempted to detect the hand postures of a mobile device to utilize these postures as a user interface, they either require additional hardware or can differentiate a limited number of grips… read more here.

Keywords: sound signals; mobile devices; grip sensing; sensing system ... See more keywords
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Automated detection of abnormal heart sound signals using Fano-factor constrained tunable quality wavelet transform

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Published in 2021 at "Biocybernetics and Biomedical Engineering"

DOI: 10.1016/j.bbe.2020.12.007

Abstract: Abstract Manual interpretation of heart sounds is insensitive and prone to subjectivity. Automated diagnosis systems incorporating artificial intelligence and advanced signal processing tools can potentially increase the sensitivity of disease detection and reduce the subjectiveness.… read more here.

Keywords: heart sound; fano factor; heart; sound signals ... See more keywords
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Sound signals to improve evacuation in road tunnels

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Published in 2021 at "Fire Safety Journal"

DOI: 10.1016/j.firesaf.2021.103431

Abstract: Abstract Although visual signage is the most common means of evacuation support in road tunnels emergencies, these can be of little help when there is dense smoke product of a fire. In such cases, auditory… read more here.

Keywords: sound signals; sound; clicking sound; road tunnels ... See more keywords
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Sound signals of tsunamis from a slender fault

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Published in 2017 at "Journal of Fluid Mechanics"

DOI: 10.1017/jfm.2017.811

Abstract: Since the speed of sound in water is much greater than that of the surface gravity waves, acoustic signals can be used for early warning of tsunamis. We simplify existing works by treating the sound… read more here.

Keywords: tsunamis slender; sound signals; fault; signals tsunamis ... See more keywords
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Classifying Heart-Sound Signals Based on CNN Trained on MelSpectrum and Log-MelSpectrum Features

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Published in 2023 at "Bioengineering"

DOI: 10.3390/bioengineering10060645

Abstract: The intelligent classification of heart-sound signals can assist clinicians in the rapid diagnosis of cardiovascular diseases. Mel-frequency cepstral coefficients (MelSpectrums) and log Mel-frequency cepstral coefficients (Log-MelSpectrums) based on a short-time Fourier transform (STFT) can represent… read more here.

Keywords: log melspectrum; sound signals; heart sound; heart ... See more keywords