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Neves, P., Nunes, L. & Lourenço, A. (2016). Multi-factor authentication for improved efficiency in ECG: Based login. In Fairclough, S., Holzinger, A., Otero, A., Pope, A., and Silva, H. P. da. (Ed.), PhyCS 2016 - Proceedings of the 3rd International Conference on Physiological Computing Systems. (pp. 67-74). Lisboa: SciTePress.

P. F. Neves et al.,  "Multi-factor authentication for improved efficiency in ECG: Based login", in PhyCS 2016 - Proc. of the 3rd Int. Conf. on Physiological Computing Systems, Fairclough, S., Holzinger, A., Otero, A., Pope, A., and Silva, H. P. da., Ed., Lisboa, SciTePress, 2016, pp. 67-74

@inproceedings{neves2016_1719998814079,
	author = "Neves, P. and Nunes, L. and Lourenço, A.",
	title = "Multi-factor authentication for improved efficiency in ECG: Based login",
	booktitle = "PhyCS 2016 - Proceedings of the 3rd International Conference on Physiological Computing Systems",
	year = "2016",
	editor = "Fairclough, S., Holzinger, A., Otero, A., Pope, A., and Silva, H. P. da.",
	volume = "",
	number = "",
	series = "",
	doi = "10.5220/0005936500670074",
	pages = "67-74",
	publisher = "SciTePress",
	address = "Lisboa",
	organization = "INSTIC",
	url = "https://www.scitepress.org/ProceedingsDetails.aspx?ID=a2u6/4ol5sM=&t=1"
}

TY  - CPAPER
TI  - Multi-factor authentication for improved efficiency in ECG: Based login
T2  - PhyCS 2016 - Proceedings of the 3rd International Conference on Physiological Computing Systems
AU  - Neves, P.
AU  - Nunes, L.
AU  - Lourenço, A.
PY  - 2016
SP  - 67-74
SN  - 2184-321X
DO  - 10.5220/0005936500670074
CY  - Lisboa
UR  - https://www.scitepress.org/ProceedingsDetails.aspx?ID=a2u6/4ol5sM=&t=1
AB  - 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
ER  -