DocumentCode :
548826
Title :
Multimodal cognitive biometrics
Author :
Faria, Lurdes ; Sá, Vitor J. ; De Magalhaes, Sérgio Tenreiro
Author_Institution :
Fac. de Ciincias Sociais, Univ. Catolica Portuguesa (UCP), Braga, Portugal
fYear :
2011
fDate :
15-18 June 2011
Firstpage :
1
Lastpage :
6
Abstract :
Cognitive biometrics represents a new approach in the identification and/or authentication of people using biological signals that characterize the brain´s response to certain stimuli, giving a high degree of uniqueness to the individual. In this work, we contextualize the cognitive biometrics in the biometry in general, taking into account how one can measure the performance of a biometric system. We intend to conduct a literature review in a particular area of information security, in order to foresee possible lines of research. Scientific studies show that biological signals captured through electrocardiograms (ECG), electroencephalograms (EEG) and electrodermal responses (EDR), using electrodes placed on specific body parts, guarantee the possibility of authentication of individuals and its identification, in some cases. This can be useful for the most demanding security systems, using these techniques individually or on a combination of different biometric techniques, so that the recognition process is more efficient.
Keywords :
biology computing; biometrics (access control); cognition; electrocardiography; electroencephalography; security of data; ECG; EDR; EEG; biological signals; electrocardiograms; electrodermal responses; electroencephalograms; information security; multimodal cognitive biometrics; people authentication; people identification; Biological system modeling; Brain modeling; Digital audio broadcasting; Electrocardiography; Electroencephalography; ECG; EDR; EEG; authentication; biometrics; cognitive biometrics; multimodal;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Systems and Technologies (CISTI), 2011 6th Iberian Conference on
Conference_Location :
Chaves
Print_ISBN :
978-1-4577-1487-0
Type :
conf
Filename :
5974269
Link To Document :
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