The exhaled breath pattern as a potential method for biometrics identification.

ABSTRACT: Conventional biometric identification methods relying on Personally Identifiable Information (PII) pose significant challenges concerning privacy and security. Volatile organic compounds (VOCs) in exhaled breath are unique to individuals and can serve as biomarkers for various diseases, making them a promising tool for both bioidentification and clinical diagnostics. This research investigates the feasibility of utilizing VOCs in exhaled breath as biometric identifiers, employing machine learning algorithms for analysis. Additionally, the research investigates the use of VOCs as non-invasive indicators of health status, specifically for estimating BMI and gender. The study involved 94 participants with an average age of 67 years and an average BMI of 28 kg/m². Exhaled breath samples were c

SUBMITTER: Paleczek A 

PROVIDER: S-EPMC12518572 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature