Biometric verification using oral acoustic reflections
- 1Echo-Id Ltd, Tel-Aviv-Yafo, Israel
- 2Biomedical Engineering Department, Ben-Gurion University of the Negev, Beer-Sheva, Israel
Abstract
Biometric verification methods, such as voice, face, iris and fingerprint verification, are commonly used in smartphones, security systems, and medical devices. However, each involves tradeoffs in cost, accuracy, latency and susceptibility to spoofing. We present and report laboratory testing of Oral Cavity Acoustic Verification (OCAV), a biometric verification system that transmits sound waves into the user’s oral cavity, characterizes the acoustic response, and returns a verification decision by comparing the acoustic response to the individual’s prerecorded acoustic signature. A total of 108 healthy volunteers aged 18–60 years were recruited, and a unique acoustic profile was created for each participant. Across three recording sessions conducted one week apart, 20,860 genuine trials and 18,880 impostor trials were collected to evaluate verification accuracy. Verification accuracy was 90.1% for a single trial and 95.2% when pooling 5 consecutive trials. Unlike voice biometrics that depend on speech production and are sensitive to acoustic noise and audio playback attacks, OCAV exploits an active acoustic response from the oral cavity that may be less vulnerable to spoofing attacks. In contrast to other audio-based systems such as ear-canal acoustic biometrics, OCAV is intended for devices that already involve oral cavity contact. The potential applications include inhaler-based health monitoring, breath-alcohol tests, and the enforcement of nicotine-use restrictions. These capabilities can help support public health and safety efforts; for example, by monitoring youth access to e-vaping or detecting drivers’ alcohol consumption prior to ignition.
Related
- Development of a concise objective biometric triage model for identifying myopia defined by cycloplegic refraction in school-aged children
- Explained and Residual Variability of the Fetal Mechanical PR Interval in Structurally Normal Hearts: A Secondary Analysis of Physiological, Biometric, and Doppler Covariates
- Comparison of Biometric Measurements Between Anterior Segment Hyperparallel and Swept-Source Optical Coherence Tomography
- Ocular Biometric and Fundus Characteristics in High Myopia: Protocol for a Hospital-Based Cross-Sectional Study
- Evaluation of axial length measurement and other biometric parameters using three different generations of biometers.
BibTeX
@article{kam2026biometric,
title = {{Biometric verification using oral acoustic reflections}},
author = {Amit Kam and Nir Iakoby and Daniel Tubiana and Eran Hochstadter and Roi Ram and Yaniv Zigel},
journal = {PLOS One},
year = {2026},
month = sep,
doi = {10.1371/journal.pone.0359160},
url = {https://doi.org/10.1371/journal.pone.0359160},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Biometric verification using oral acoustic reflections
AU - Amit Kam
AU - Nir Iakoby
AU - Daniel Tubiana
AU - Eran Hochstadter
AU - Roi Ram
AU - Yaniv Zigel
PY - 2026
DA - 2026/09/25
JO - PLOS One
DO - 10.1371/journal.pone.0359160
UR - https://doi.org/10.1371/journal.pone.0359160
AB - Biometric verification methods, such as voice, face, iris and fingerprint verification, are commonly used in smartphones, security systems, and medical devices. However, each involves tradeoffs in cost, accuracy, latency and susceptibility to spoofing. We present and report laboratory testing of Oral Cavity Acoustic Verification (OCAV), a biometric verification system that transmits sound waves into the user’s oral cavity, characterizes the acoustic response, and returns a verification decision by comparing the acoustic response to the individual’s prerecorded acoustic signature. A total of 108 healthy volunteers aged 18–60 years were recruited, and a unique acoustic profile was created for each participant. Across three recording sessions conducted one week apart, 20,860 genuine trials and 18,880 impostor trials were collected to evaluate verification accuracy. Verification accuracy was 90.1% for a single trial and 95.2% when pooling 5 consecutive trials. Unlike voice biometrics that depend on speech production and are sensitive to acoustic noise and audio playback attacks, OCAV exploits an active acoustic response from the oral cavity that may be less vulnerable to spoofing attacks. In contrast to other audio-based systems such as ear-canal acoustic biometrics, OCAV is intended for devices that already involve oral cavity contact. The potential applications include inhaler-based health monitoring, breath-alcohol tests, and the enforcement of nicotine-use restrictions. These capabilities can help support public health and safety efforts; for example, by monitoring youth access to e-vaping or detecting drivers’ alcohol consumption prior to ignition.
SN - 1932-6203
ER -