Ciência-IUL
Publicações
Descrição Detalhada da Publicação
PhyCS 2016 - Proceedings of the 3rd International Conference on Physiological Computing Systems
Ano (publicação definitiva)
2016
Língua
Inglês
País
Portugal
Mais Informação
Web of Science®
Scopus
Google Scholar
Abstract/Resumo
Electrocardiogram (ECG) based biometrics have proven to be a reliable source of identification. ECG can now be measured off-the-person, requiring nothing more than dry electrodes or conductive fabrics to acquire a usable ECG signal. However, identification still has a relatively poor performance when using large user databases. In this paper we suggest using ECG authentication associated with a smartphone security token in order to improve performance and decrease the time required for the recognition. This paper reposts the implementation of this technique in a user authentication scenario for a Windows login using normal Bluetooth (BT) and Bluetooth Low Energy (BLE). This paper also uses Intel Edison’s mobility features to create a more versatile environment. Results proved our solution to be feasible and present improvements in authentication times when compared to a simple ECG identification
Agradecimentos/Acknowledgements
--
Palavras-chave
Biometrics,Authentication,Bluetooth,Internet of things
Registos de financiamentos
Referência de financiamento | Entidade Financiadora |
---|---|
UID/EEA/50008/2013 | Fundação para a Ciência e a Tecnologia |
Projetos Relacionados
Esta publicação é um output do(s) seguinte(s) projeto(s):