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Orientador(es)
Resumo(s)
Biometric recognition has recently emerged as part of applications where the privacy of the information is crucial, as in the health care field. This paper presents an embedded system for individual recognition based on
Electrocardiographic (ECG) biometrics. The proposed system implements a real-time state-of-the-art recognition algorithm, which extracts information from the frequency domain, on an architecture based ARM Cortex
4. The system is designed to be free-standing, non-intrusive and easy to use on different environments. Preliminary results show the successful on-the-fly implementation in a embedded platform, enabling its usage on
a myriad of operations.
Descrição
Comunication in Internationa Conference with Peer Review First International Congress on Cardiovasular Technologies - CARDIOTECHNIX, Vilamoura, Portugal, 2013
Palavras-chave
Electrocardiogram ECG Embedded system ARM Biometrics STM32
Contexto Educativo
Citação
MATOS, André Cigarro; LOURENÇO, André; NASCIMENTO, José M. P. - Embedded System for ECG Biometrics. Proceedinfs of the International Congress on Cardiovasular Technologies - CARDIOTECHNIX. (2013), p. 27-33.