Abstract | ||
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This paper presents an approach for human authentication based on electrocardiogram (ECG) waveforms. ECG data was collected from 24 individuals during the realization of cognitive tests, where subjects held a surface mount triode placed on the V2 pre cordial derivation. Authentication is based on MAP, One-Class and 1-NN classifiers. Results show that ECG-based authentication may be a feasible tool for biometric systems. The One-Class classifier with class normalization has presented enhanced performance, with an equal error rate of 3.5%. |
Year | Venue | Keywords |
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2009 | BIOSIGNALS 2009: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON BIO-INSPIRED SYSTEMS AND SIGNAL PROCESSING | Bayesian,Biometric authentication,ECG,MAP,One-Class,1-NN |
Field | DocType | Citations |
Authentication,Nearest neighbour classifiers,Pattern recognition,Computer science,Artificial intelligence,Bayesian probability | Conference | 3 |
PageRank | References | Authors |
0.40 | 1 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Carla Oliveira | 1 | 14 | 3.98 |
Ana L. N. Fred | 2 | 1317 | 195.30 |