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This paper presents an embedded system for access control in restricted area through the integration of two authentication strategies: facial recognition and RFID TAGs. Once face recognition, in an embedded system, is susceptible to failures, the integration with RFID tags aims to increase the robustness of access control system. This system can be easily deployed into enterprise environments, meetings...
Radio-frequency identification (RFID) is one of the most promising technologies to enable new smart applications in the framework of the Internet of Things (IoT). Nevertheless, from the electromagnetic point of view, the performance of the RFID tags is generally dependent on the context, so that the selection of the most suitable tag for the specific application becomes the key point. In this work,...
The discrimination of ECG signals is of crucial importance in clinical diagnoses of cardiac diseases. Manual analysis of ECG signals is very complex and time consuming task due to their composite nature. This paper proposes a novel scheme for reliable automatic classification of ECG signals into normal and three different abnormal (arrhythmia affected) categories. The feature extraction is based on...