Brainwaves in Biometric Identification: A Theoretical Framework and Novel Methodology
Keywords:
brainwaves, biometric identification, beta brain waves, EEG, FRR, FARAbstract
This scientific paper provides a thorough overview of biometric identification methods, including fingerprints, facial recognition, iris scans, voice patterns, and brainwaves. We examine the unique features of each type and compare their success rates, False Acceptance Rates (FAR), and False Rejection Rates (FRR) to highlight their strengths and weaknesses. We also introduce a new method using frontal beta brainwaves for biometric identification with electroencephalography (EEG). This approach promises better security and reliability, potentially setting a new standard in biometric systems. While not detailed extensively, we outline its benefits and express hope for future advancements in brainwave-based biometrics. Our goal is to help the understanding and application of biometric systems, offering new insights and possibilities for secure and reliable identification methods. This work aims to push the boundaries of biometric research and pave the way for future innovations in secure identification.
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