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Journal Article Identity Recognition Based on Bioacoustics of Human Body
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Authors
Joo Yong Sim, Hyung Wook Noh, Woonhoe Goo, Namkeun Kim, Seung-Hoon Chae, Chang-Geun Ahn
Issue Date
2021-05
Citation
IEEE Transactions on Cybernetics, v.51, no.5, pp.2761-2772
ISSN
2168-2267
Publisher
IEEE
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1109/TCYB.2019.2941281
Abstract
Current biometrics rely on images obtained from the structural information of physiological characteristics, which is inherently a fatal problem of being vulnerable to spoofing. Here, we studied personal identification using the frequency-domain information based on human body vibration. We developed a bioacoustic frequency spectroscopy system and applied it to the fingers to obtain information on the anatomy, biomechanics, and biomaterial properties of the tissues. As a result, modulated microvibrations propagated through our body could capture a unique spectral trait of a person and the biomechanical transfer characteristics persisted for two months and resulted in 97.16% accuracy of identity authentication in 41 subjects. Ultimately, our method not only eliminates the practical means of creating fake copies of the relevant characteristics but also provides reliable features.
KSP Keywords
Frequency domain(FD), Frequency spectroscopy, Human Body, Identity Authentication, Identity Recognition, Personal identification, Physiological characteristics, Structural information, frequency-domain information, transfer characteristics