HIGHLIGHTS
- What: Objective: This paper investigates the potential of cardiogram-derived traits from electrocardiogram (ECG) and impedance cardiogram (ICG) for Additionally the influence of induced emotions on cardiogram attributes and their impact on accuracy is explored. The authors compare 7 machine learning classifiers using a dataset gathered from 202 individuals to identify the highest-performing classifiers. The authors investigate the performance of classifiers under altered emotional states to assess classifiers` robustness. The aim of biometrics is to reliably detect the identity of an individual based on their measurable biological and behavioral characteristics.
- Who: CardioPRINT Biometric identification . . .
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