ECG Biometrics Based on Attention Enhanced Domain Adaptive Feature Fusion Network
Pan Yi,
Yujuan Si,
Wei Fan
et al.
Abstract:In recent years, there has been an increasing focus on privacy and security among individuals. Biometric systems are highly regarded for their strong resistance to counterfeiting. Among various biometric features, ECG signals are difficult to falsify and are less attack-prone. However, as the time interval between signal acquisitions increases, the dissimilarities between individual ECG signals become more pronounced, making it difficult for many studies to achieve satisfactory recognition results in multi-ses… Show more
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