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학술지 Identity Recognition Based on Bioacoustics of Human Body
Cited 9 time in scopus Download 54 time Share share facebook twitter linkedin kakaostory
저자
심주용, 노형욱, 구훈회, 김남근, 채승훈, 안창근
발행일
202105
출처
IEEE Transactions on Cybernetics, v.51 no.5, pp.2761-2772
ISSN
2168-2267
출판사
IEEE
DOI
https://dx.doi.org/10.1109/TCYB.2019.2941281
협약과제
19JS2300, 인체 진동 전달 특성 기반 신개념 생체 인증에 관한 연구, 심주용
초록
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 제안 키워드
Frequency spectroscopy, Human body, Identity Authentication, Identity Recognition, Personal identification, Physiological characteristics, Structural information, frequency domain(FD), frequency-domain information, transfer characteristics