Photoplethysmogram (PPG)-Based Biometric Identification Using 2D Signal Transformation and Multi-Scale Feature Fusion

• Published in: Sensors (Basel, Switzerland) Vol. 25; no. 15; p. 4849
• Main Authors: Xu, Yuanyuan, Wang, Zhi, Liu, Xiaochang
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 07.08.2025; MDPI
• Subjects: 2D signal transformation; Accuracy; Algorithms; Biometric identification; Biometric Identification - methods; biometric recognition; Biometrics; Datasets; Deep learning; Facial recognition technology; feature fusion; Heart rate; Humans; Machine learning; Neural networks; Personal information; photoplethysmography; Photoplethysmography - methods; Physiology; residual neural network; Signal Processing, Computer-Assisted; Wavelet Analysis; biometric recognition; feature fusion; photoplethysmography; 2D signal transformation; residual neural network

Using Photoplethysmogram (PPG) signals for identity recognition has been proven effective in biometric authentication. However, in real-world applications, PPG signals are prone to interference from noise, physical activity, diseases, and other factors, making it challenging to ensure accurate user...