PPG-based human identification using Mel-frequency cepstral coefficients and neural networks
PPG-based human identification using Mel-frequency cepstral coefficients and neural networks
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Publisher
New York: Springer US
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Language
English
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Publisher
New York: Springer US
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Scope and Contents
Contents
One of the known problems in security systems is to identify persons based on certain signatures. Biometrics have been adopted in security systems to identify persons based on some physiological or behavioral characteristics that they own. Photoplethysmography (PPG) is a physiological signal that is used to describe the volumetric change of blood f...
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Full title
PPG-based human identification using Mel-frequency cepstral coefficients and neural networks
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TN_cdi_proquest_journals_2548900571
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2548900571
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ISSN
1380-7501
E-ISSN
1573-7721
DOI
10.1007/s11042-021-10781-8
