Identity Recognition Based on Bioacoustics of Human Body

Area of Science:

• Biometrics and Human-Computer Interaction
• Signal Processing and Biomedical Engineering

Background:

• Existing biometric systems based on structural physiological characteristics are vulnerable to spoofing attacks.
• A need exists for more secure and robust personal identification methods.

Purpose of the Study:

• To investigate the potential of using frequency-domain information from human body vibrations for personal identification.
• To develop and evaluate a bioacoustic frequency spectroscopy system for biometric authentication.

Main Methods:

• A novel bioacoustic frequency spectroscopy system was developed.
• The system was applied to the fingers to capture unique spectral traits related to tissue anatomy, biomechanics, and biomaterial properties.
• Modulated microvibrations propagating through the body were analyzed.

Main Results:

• Unique spectral traits were captured from human body vibrations, enabling personal identification.
• The biomechanical transfer characteristics remained stable for two months.
• The system achieved 97.16% accuracy in identity authentication across 41 subjects.

Conclusions:

• Personal identification using frequency-domain information from human body vibrations is feasible and highly accurate.
• This method effectively eliminates the possibility of creating fake copies of biometric characteristics.
• The bioacoustic frequency spectroscopy system provides a reliable and secure biometric solution.