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Photoplethysmography (PPG) signals have unique identity properties for human recognition, and are becoming easier to capture by emerging IoT sensors. Existing research on PPG-based biometric systems rely on fiducial methods that extract landmarks from the PPG signal as features. This paper investigates non-fiducial methods that operating in a holistic manner that is less sensitive to noise in landmarks...
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