Identity Recognition Based on Bioacoustics of Human Body
- Authors
- Sim, Joo Yong; Noh, Hyung Wook; Goo, Woonhoe; Kim, Namkeun; Chae, Seung-Hoon; Ahn, Chang-Geun
- Issue Date
- May-2021
- Publisher
- IEEE
- Citation
- IEEE Transactions on Cybernetics, v.51, no.5, pp 2761 - 2772
- Pages
- 12
- Journal Title
- IEEE Transactions on Cybernetics
- Volume
- 51
- Number
- 5
- Start Page
- 2761
- End Page
- 2772
- URI
- https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/146624
- DOI
- 10.1109/TCYB.2019.2941281
- ISSN
- 2168-2267
2168-2275
- 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.
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