Wednesday 16 April 2025
The quest for secure and convenient mobile authentication has led researchers to explore unconventional biometric features, such as bone-conducted sounds of dental occlusion. This innovative approach, dubbed TeethPass+, leverages earbuds to collect sound waves generated by the movement of teeth and jawbone during speech or chewing. The resulting biometric signature is unique to each individual, making it a promising solution for mobile device authentication.
The development of TeethPass+ began with an examination of bone-conducted sounds, which are produced when vibrations from external sources, such as music or speech, travel through the skull and into the inner ear. Researchers discovered that these sounds could be used to identify individuals based on the unique acoustic properties of their teeth and jawbone.
To develop TeethPass+, the team designed an event detection method to filter out ambient noise and daily actions, allowing for the extraction of biometric features from the collected sound waves. These features include physical characteristics of teeth and bone structure, as well as location and timing of occlusal movements.
The system uses a Triplet network, a type of deep learning architecture, to construct user templates based on the extracted features. This template is then used for authentication purposes, comparing new incoming data against the stored profile. The results demonstrate an impressive accuracy rate of 98.6%, with the ability to resist 99.7% of spoofing attacks.
The potential applications of TeethPass+ are vast and varied. For instance, it could be integrated into smartphones or smartwatches, providing users with a secure and convenient way to unlock their devices. It may also find use in healthcare settings, where monitoring patients’ dental health could be achieved through earbud-based sensors.
While there are still challenges to overcome before TeethPass+ can become widely adopted, this innovative approach has the potential to revolutionize mobile authentication and open up new avenues for biometric research. The future of secure mobile access may not rely on traditional methods like passwords or fingerprint recognition, but rather on the unique sounds produced by our own bodies.
Cite this article: “Unlocking Teeth-Print Authentication: A Novel Biometric Approach for Secure Personal Identification”, The Science Archive, 2025.
Mobile Authentication, Biometric Features, Bone-Conducted Sounds, Dental Occlusion, Earbuds, Sound Waves, Unique Signature, Mobile Device, Deep Learning, Template Matching
