Identity Recognition Based on Bioacoustics of Human Body

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.

Automated summary

This study introduced a novel method of personal identification using frequency-domain information based on human body vibration. By developing a bioacoustic frequency spectroscopy system applied to the fingers, the researchers achieved a high accuracy rate of 97.16% in identity authentication that persisted for two months.