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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
- 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