A Hybrid CNN-LSTM Model for Multimodal Biometric Authentication via ECG and Respiration

Traditional biometric systems are vulnerable to spoofing, environmental variations and provide only one-time authentication. Existing ECG-based methods lack robustness across physiological changes and standardized evaluation frameworks. Therefore, a secure, continuous, and IoT-optimized ECG authentication system is needed.​

Видео A Hybrid CNN-LSTM Model for Multimodal Biometric Authentication via ECG and Respiration канала PARELLA VASUDEV,CSE(2022) Vel Tech, Chennai