Towards a Continuous Biometric System Based on ECG Signals Acquired on the Steering Wheel
AbstractElectrocardiogram signals acquired through a steering wheel could be the key to seamless, highly comfortable, and continuous human recognition in driving settings. This paper focuses on the enhancement of the unprecedented lesser quality of such signals, through the combination of Savitzky-Golay and moving average filters, followed by outlier detection and removal based on normalised cross-correlation and clustering, which was able to render ensemble heartbeats of significantly higher quality. Discrete Cosine Transform (DCT) and Haar transform features were extracted and fed to decision methods based on Support Vector Machines (SVM), k-Nearest Neighbours (kNN), Multilayer Perceptrons (MLP), and Gaussian Mixture Models - Universal Background Models (GMM-UBM) classifiers, for both identification and authentication tasks. Additional techniques of user-tuned authentication and past score weighting were also studied. The method’s performance was comparable to some of the best recent state-of-the-art methods (94.9% identification rate (IDR) and 2.66% authentication equal error rate (EER)), despite lesser results with scarce train data (70.9% IDR and 11.8% EER). It was concluded that the method was suitable for biometric recognition with driving electrocardiogram signals, and could, with future developments, be used on a continuous system in seamless and highly noisy settings. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Pinto, J.R.; Cardoso, J.S.; Lourenço, A.; Carreiras, C. Towards a Continuous Biometric System Based on ECG Signals Acquired on the Steering Wheel. Sensors 2017, 17, 2228.
Pinto JR, Cardoso JS, Lourenço A, Carreiras C. Towards a Continuous Biometric System Based on ECG Signals Acquired on the Steering Wheel. Sensors. 2017; 17(10):2228.Chicago/Turabian Style
Pinto, João R.; Cardoso, Jaime S.; Lourenço, André; Carreiras, Carlos. 2017. "Towards a Continuous Biometric System Based on ECG Signals Acquired on the Steering Wheel." Sensors 17, no. 10: 2228.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.