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Enhanced Biometric Identification Using Photoplethysmography Signals
In an era where ensuring security is of utmost importance, biometric identification emerges as a fundamental aspect, capitalizing on unique biological signals that are impossible to replicate. This groundbreaking study introduces an innovative approach to authentication by harnessing photoplethysmographic (PPG) signals, which are renowned for their accessibility and cost-effectiveness. Delve into a realm where optical sensors extract PPG signals, unveiling their potential as inherently distinctive biometric traits. By drawing insights from biometric datasets of 40 subjects, this book meticulously demonstrates the effectiveness of PPG signals under controlled conditions. More than ten thousand feature sets are analyzed, revealing the superiority of the Support Vector Machine (SVM) model with an exceptional accuracy rate of 99.46%. This publication reveals the culmination of a project that revolutionizes biometric personal identification, with a specific focus on critical sectors such as banking, military, and information technology.
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