{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T20:18:02Z","timestamp":1773778682272,"version":"3.50.1"},"reference-count":68,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2017,9,28]],"date-time":"2017-09-28T00:00:00Z","timestamp":1506556800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"publisher","award":["NORTE\u201301\u20130145\u2013FEDER\u201300001"],"award-info":[{"award-number":["NORTE\u201301\u20130145\u2013FEDER\u201300001"]}],"id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Electrocardiogram 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\u2019s 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.<\/jats:p>","DOI":"10.3390\/s17102228","type":"journal-article","created":{"date-parts":[[2017,9,28]],"date-time":"2017-09-28T11:22:44Z","timestamp":1506597764000},"page":"2228","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":108,"title":["Towards a Continuous Biometric System Based on ECG Signals Acquired on the Steering Wheel"],"prefix":"10.3390","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4956-5902","authenticated-orcid":false,"given":"Jo\u00e3o","family":"Pinto","sequence":"first","affiliation":[{"name":"Faculdade de Engenharia, Universidade do Porto; R. Dr. Roberto Frias, 4200-465 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3760-2473","authenticated-orcid":false,"given":"Jaime","family":"Cardoso","sequence":"additional","affiliation":[{"name":"Faculdade de Engenharia, Universidade do Porto; R. Dr. Roberto Frias, 4200-465 Porto, Portugal"},{"name":"INESC-TEC; R. Dr. Roberto Frias, 4200-465 Porto, Portugal"}]},{"given":"Andr\u00e9","family":"Louren\u00e7o","sequence":"additional","affiliation":[{"name":"CardioID Technologies Lda.; R. Adriano Correia de Oliveira 4A F1, 1600-312 Lisboa, Portugal"},{"name":"Instituto Superior de Engenharia de Lisboa; R. Conselheiro Em\u00eddio Navarro 1, 1959-007 Lisboa, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3621-5268","authenticated-orcid":false,"given":"Carlos","family":"Carreiras","sequence":"additional","affiliation":[{"name":"CardioID Technologies Lda.; R. Adriano Correia de Oliveira 4A F1, 1600-312 Lisboa, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2017,9,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Yang, J. (2011). Heart Biometrics: Theory, Methods and Applications. Biometrics, InTech.","DOI":"10.5772\/729"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Jain, A.K., Ross, A.A., and Nandakumar, K. (2011). Introduction to Biometrics, Springer Science+Business Media, LLC.","DOI":"10.1007\/978-0-387-77326-1"},{"key":"ref_3","first-page":"69","article-title":"A Review on Biometric Recognition","volume":"6","author":"Kaur","year":"2014","journal-title":"Int. J. Bio-Sci. Bio-Technol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"739","DOI":"10.1007\/s11760-013-0593-4","article-title":"Biometric authentication based on PCG and ECG signals: Present status and future directions","volume":"8","author":"Ahmed","year":"2014","journal-title":"Signal Image Video Process."},{"key":"ref_5","first-page":"924791","article-title":"Secure Telemedicine: Biometrics for Remote and Continuous Patient Verification","volume":"2012","author":"Agrafioti","year":"2012","journal-title":"J. Comput. Netw. Commun."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Li, M., and Narayanan, S. (2010, January 23\u201326). Robust ECG Biometrics by Fusing Temporal and Cepstral Information. Proceedings of the 2010 20th International Conference on Pattern Recognition (ICPR), Istanbul, Turkey.","DOI":"10.1109\/ICPR.2010.330"},{"key":"ref_7","unstructured":"Forsen, G.E., Nelson, M.R., and Staron, R.J. (1977). Personal Attributes Authentication Techniques, Pattern Analysis and Recognition Corporation, Rome Air Development Center. Technical Report."},{"key":"ref_8","first-page":"499","article-title":"Geometrical aspects of the inter-individual variability of multilead ECG recordings","volume":"26","author":"Hoekema","year":"1999","journal-title":"Comput. Cardiol."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1054\/jelc.2000.20356","article-title":"Geometrical factors affecting the interindividual variability of the ECG and the VCG","volume":"33","author":"Hoekema","year":"2000","journal-title":"J. Electrocardiol."},{"key":"ref_10","unstructured":"Biel, L., Pettersson, O., Philipson, L., and Wide, P. (1999, January 24\u201326). ECG analysis: A new approach in human identification. Proceedings of the 16th IEEE Instrumentation and Measurement Technology Conference (IMTC\/99), Venice, Italy."},{"key":"ref_11","first-page":"392","article-title":"Development of ECG Identification System","volume":"38","author":"Kyoso","year":"2000","journal-title":"Jpn. J. Med. Electron. Biol. Eng."},{"key":"ref_12","unstructured":"Kyoso, M., and Uchiyama, A. (2001, January 25\u201328). Development of an ECG identification system. Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Istanbul, Turkey."},{"key":"ref_13","unstructured":"Silva, H.P., Fred, A., Louren\u00e7o, A., and Jain, A.K. (October, January 29). Finger ECG signal for user authentication: Usability and performance. Proceedings of the 2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS), Arlington, VA, USA."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Filipe, J., Gusikhin, O., Madani, K., and Sasiadek, J. (2016). Evaluating Template Uniqueness in ECG Biometrics. Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2014), Vienna, Austria, 2\u20134 September 2014; Revised Selected Papers, Springer International Publishing.","DOI":"10.1007\/978-3-319-26453-0"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1109\/TIM.2007.909996","article-title":"Wavelet Distance Measure for Person Identification Using Electrocardiograms","volume":"57","author":"Chan","year":"2008","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Coutinho, D.P., Fred, A.L.N., and Figueiredo, M.A.T. (2010, January 23\u201326). One-Lead ECG-Based Personal Identification Using Ziv-Merhav Cross Parsing. Proceedings of the 2010 20th International Conference on Pattern Recognition (ICPR), Istanbul, Turkey.","DOI":"10.1109\/ICPR.2010.940"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"2002","DOI":"10.1109\/TIFS.2014.2360430","article-title":"On Evaluating ECG Biometric Systems: Session-Dependence and Body Posture","volume":"9","author":"Wahabi","year":"2014","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"2818","DOI":"10.1109\/TIFS.2016.2599270","article-title":"Continuous Authentication Using One-Dimensional Multi-Resolution Local Binary Patterns (1DMRLBP) in ECG Biometrics","volume":"11","author":"Louis","year":"2016","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Guennoun, M., Abbad, N., Talom, J., Rahman, S.M.M., and El-Khatib, K. (2009, January 26\u201327). Continuous authentication by electrocardiogram data. Proceedings of the 2009 IEEE Toronto International Conference on Science and Technology for Humanity (TIC-STH), Toronto, ON, Canada.","DOI":"10.1109\/TIC-STH.2009.5444466"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Matta, R., Lau, J.K.H., Agrafioti, F., and Hatzinakos, D. (2011, January 8\u201311). Real-time continuous identification system using ECG signals. Proceedings of the 2011 24th Canadian Conference on Electrical and Computer Engineering (CCECE), Niagara Falls, ON, Canada.","DOI":"10.1109\/CCECE.2011.6030676"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"294","DOI":"10.1002\/tee.21970","article-title":"Robustness study of ECG biometric identification in heart rate variability conditions","volume":"9","author":"Pathoumvanh","year":"2014","journal-title":"IEEJ Trans. Electric. Electron. Eng."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Ye, C., Coimbra, M.T., and Kumar, B.V.K.V. (2010, January 27\u201329). Investigation of human identification using two-lead Electrocardiogram (ECG) signals. Proceedings of the 2010 Fourth IEEE International Conference on Biometrics: Theory Applications and Systems (BTAS), Washington, DC, USA.","DOI":"10.1109\/BTAS.2010.5634478"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1824","DOI":"10.1016\/j.patcog.2008.11.020","article-title":"Human identification by quantifying similarity and dissimilarity in electrocardiogram phase space","volume":"42","author":"Fang","year":"2009","journal-title":"Pattern Recognit."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Zhang, Z., and Wei, D. (2006, January 14\u201317). A New ECG Identification Method Using Bayes\u2019 Theorem. Proceedings of the TENCON 2006\u20142006 IEEE Region 10 Conference, Hong Kong, China.","DOI":"10.1109\/TENCON.2006.344146"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Agrafioti, F., and Hatzinakos, D. (2008, January 5\u20138). ECG Based Recognition Using Second Order Statistics. Proceedings of the 6th Annual Communication Networks and Services Research Conference (CNSR 2008), Halifax, NS, Canada.","DOI":"10.1109\/CNSR.2008.38"},{"key":"ref_26","first-page":"1","article-title":"ECG based human authentication using wavelets and random forests","volume":"2","author":"Belgacem","year":"2012","journal-title":"Int. J. Cryptogr. Inf. Secur."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Louren\u00e7o, A., Silva, H., and Fred, A. (2012, January 23\u201326). ECG-based biometrics: A real time classification approach. Proceedings of the 2012 IEEE International Workshop on Machine Learning for Signal Processing, Santander, Spain.","DOI":"10.1109\/MLSP.2012.6349735"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Matos, A.C., Louren\u00e7o, A., and Nascimento, J. (2013, January 9\u201312). Biometric recognition system using low bandwidth ECG signals. Proceedings of the 2013 IEEE 15th International Conference on e-Health Networking, Applications Services (Healthcom), Lisbon, Portugal.","DOI":"10.1109\/HealthCom.2013.6720731"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1049\/iet-bmt.2012.0055","article-title":"Novel fiducial and non-fiducial approaches to electrocardiogram-based biometric systems","volume":"2","author":"Coutinho","year":"2013","journal-title":"IET Biom."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Odinaka, I., Lai, P.H., Kaplan, A.D., O\u2019Sullivan, J.A., Sirevaag, E.J., Kristjansson, S.D., Sheffield, A.K., and Rohrbaugh, J.W. (2010, January 12\u201315). ECG biometrics: A robust short-time frequency analysis. Proceedings of the 2010 IEEE International Workshop on Information Forensics and Security, Seattle, WA, USA.","DOI":"10.1109\/WIFS.2010.5711466"},{"key":"ref_31","first-page":"5:1","article-title":"Unveiling the Biometric Potential of Finger-based ECG Signals","volume":"2011","author":"Silva","year":"2011","journal-title":"Intell. Neurosci."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1007\/s11760-014-0737-1","article-title":"ECG biometric analysis in different physiological recording conditions","volume":"10","author":"Kervio","year":"2016","journal-title":"Signal Image Video Process."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Meesad, P., Boonkrong, S., and Unger, H. (2016). Electrocardiogram Identification: Use a Simple Set of Features in QRS Complex to Identify Individuals. Recent Advances in Information and Communication Technology 2016: Proceedings of the 12th International Conference on Computing and Information Technology (IC2IT), Khon Kaen, Thailand, 7\u20138 July 2016, Springer International Publishing.","DOI":"10.1007\/978-3-319-40415-8"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Tan, R., and Perkowski, M. (2017). Toward Improving Electrocardiogram (ECG) Biometric Verification using Mobile Sensors: A Two-Stage Classifier Approach. Sensors, 17.","DOI":"10.3390\/s17020410"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Dar, M.N., Akram, M.U., Shaukat, A., and Khan, M.A. (2015, January 24\u201327). ECG Based Biometric Identification for Population with Normal and Cardiac Anomalies Using Hybrid HRV and DWT Features. Proceedings of the 2015 5th International Conference on IT Convergence and Security (ICITCS), Kuala Lumpur, Malaysia.","DOI":"10.1109\/ICITCS.2015.7292977"},{"key":"ref_36","unstructured":"Molina, G.G., Bruekers, F., Presura, C., Damstra, M., and van der Veen, M. (2007, January 3\u20137). Morphological synthesis of ECG signals for person authentication. Proceedings of the 2007 15th European Signal Processing Conference, Pozna\u0144, Poland."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Fatemian, S.Z., Agrafioti, F., and Hatzinakos, D. (2010, January 27\u201329). HeartID: Cardiac biometric recognition. Proceedings of the 2010 Fourth IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), Washington, DC, USA.","DOI":"10.1109\/BTAS.2010.5634493"},{"key":"ref_38","unstructured":"Chun, S.Y. (2016, January 13\u201316). Single pulse ECG-based small scale user authentication using guided filtering. Proceedings of the 2016 International Conference on Biometrics (ICB), Halmstad, Sweden."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1016\/j.dsp.2016.02.008","article-title":"ECG biometric authentication based on non-fiducial approach using kernel methods","volume":"52","author":"Hejazi","year":"2016","journal-title":"Digit. Signal Process."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Boumbarov, O., Velchev, Y., and Sokolov, S. (2009, January 21\u201323). ECG personal identification in subspaces using radial basis neural networks. Proceedings of the IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS 2009), Rende, Italy.","DOI":"10.1109\/IDAACS.2009.5342942"},{"key":"ref_41","first-page":"147","article-title":"Identification of Individuals using Electrocardiogram","volume":"10","author":"Sasikala","year":"2010","journal-title":"Int. J. Comput. Sci. Netw. Secur."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Choudhary, T., and Manikandan, M.S. (2015, January 19\u201320). A novel unified framework for noise-robust ECG-based biometric authentication. Proceedings of the 2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN), Noida, Delhi-NCR, India.","DOI":"10.1109\/SPIN.2015.7095379"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Venkatesh, N., and Jayaraman, S. (2010, January 23\u201326). Human Electrocardiogram for Biometrics Using DTW and FLDA. Proceedings of the 2010 20th International Conference on Pattern Recognition (ICPR), Istanbul, Turkey.","DOI":"10.1109\/ICPR.2010.935"},{"key":"ref_44","unstructured":"Zhou, X., Lu, Y., Chen, M., Bao, S.D., and Miao, F. (2014, January 26\u201330). A method of ECG template extraction for biometrics applications. Proceedings of the 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, IL, USA."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Ergin, S., Uysal, A.K., Gunal, E.S., Gunal, S., and Gulmezoglu, M.B. (2014, January 18\u201321). ECG based biometric authentication using ensemble of features. Proceedinsgs of the 2014 9th Iberian Conference on Information Systems and Technologies (CISTI), Barcelona, Spain.","DOI":"10.1109\/CISTI.2014.6877089"},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Plataniotis, K.N., Hatzinakos, D., and Lee, J.K.M. (2006, January 19\u201321). ECG Biometric Recognition Without Fiducial Detection. Proceedings of the 2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference, Baltimore, Maryland.","DOI":"10.1109\/BCC.2006.4341628"},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Saechia, S., Koseeyaporn, J., and Wardkein, P. (2005, January 21\u201324). Human Identification System Based ECG Signal. Proceedings of the TENCON 2005\u20142005 IEEE Region 10 Conference, Melbourne, Australia.","DOI":"10.1109\/TENCON.2005.300986"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"6832","DOI":"10.3390\/s130506832","article-title":"A Human ECG Identification System Based on Ensemble Empirical Mode Decomposition","volume":"13","author":"Zhao","year":"2013","journal-title":"Sensors"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.patcog.2004.05.014","article-title":"ECG to identify individuals","volume":"38","author":"Israel","year":"2005","journal-title":"Pattern Recognit."},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Waili, T., Nor, R.M., Yaacob, H., Sidek, K., and Rahman, A.W.A. (2016, January 25\u201327). A Hasty Approach to ECG Person Identification. Proceedings of the 2016 International Conference on Computer and Communication Engineering (ICCCE), Kuala Lumpur, Malaysia.","DOI":"10.1109\/ICCCE.2016.65"},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Br\u00e1s, S., and Pinho, A.J. (2015, January 25\u201329). ECG biometric identification: A compression based approach. Proceedings of the 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, Italy.","DOI":"10.1109\/EMBC.2015.7319719"},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Iqbal, F.T.Z., Sidek, K.A., Noah, N.A., and Gunawan, T.S. (2014, January 25\u201327). A comparative analysis of QRS and cardioid graph based ECG biometric recognition in different physiological conditions. Proceedings of the IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA2014), Kuala Lumpur, Malaysia.","DOI":"10.1109\/ICSIMA.2014.7047431"},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Bifet, A., May, M., Zadrozny, B., Gavalda, R., Pedreschi, D., Bonchi, F., Cardoso, J., and Spiliopoulou, M. (2015). CardioWheel: ECG Biometrics on the Steering Wheel. Proceedings of the European Conference: Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2015), Porto, Portugal, 7\u201311 September 2015, Springer International Publishing. Part III.","DOI":"10.1007\/978-3-319-23461-8"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1109\/MSP.2017.2699039","article-title":"Driver Modeling for Detection and Assessment of Driver Distraction: Examples from the UTDrive Test Bed","volume":"34","author":"Hansen","year":"2017","journal-title":"IEEE Signal Process. Mag."},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Fatemian, S.Z., and Hatzinakos, D. (2009, January 5\u20137). A new ECG feature extractor for biometric recognition. Proceedings of the 2009 16th International Conference on Digital Signal Processing, Santorini, Greece.","DOI":"10.1109\/ICDSP.2009.5201143"},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Singh, B., Singh, P., and Budhiraja, S. (2015, January 2\u20134). Various Approaches to Minimise Noises in ECG Signal: A Survey. Proceedings of the 2015 Fifth International Conference on Advanced Computing Communication Technologies, Kochi, India.","DOI":"10.1109\/ACCT.2015.87"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"1627","DOI":"10.1021\/ac60214a047","article-title":"Smoothing and differentiation of data by simplified least squares procedures","volume":"36","author":"Savitzky","year":"1964","journal-title":"Anal. Chem."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1109\/MSP.2011.941097","article-title":"What Is a Savitzky-Golay Filter? [Lecture Notes]","volume":"28","author":"Schafer","year":"2011","journal-title":"IEEE Signal Process. Mag."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1109\/10.212060","article-title":"An approach to QRS complex detection using mathematical morphology","volume":"40","author":"Trahanias","year":"1993","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_60","first-page":"12","article-title":"Implementation of a one-lead ECG human identification system on a normal population","volume":"2","author":"Shen","year":"2011","journal-title":"J. Eng. Comput. Innov."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"S94","DOI":"10.1002\/tee.22241","article-title":"ECG biometric recognition using SVM-based approach","volume":"11","author":"Rezgui","year":"2016","journal-title":"IEEJ Trans. Electric. Electron. Eng."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1007\/BF00994018","article-title":"Support-vector networks","volume":"20","author":"Cortes","year":"1995","journal-title":"Mach. Learn."},{"key":"ref_63","unstructured":"Theodoridis, S., and Koutroumbas, K. (2009). Pattern Recognition, Academic Press. [4th ed.]."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1006\/dspr.1999.0361","article-title":"Speaker Verification Using Adapted Gaussian Mixture Models","volume":"10","author":"Reynolds","year":"2000","journal-title":"Digit. Signal Process."},{"key":"ref_65","doi-asserted-by":"crossref","unstructured":"Doddington, G., Liggett, W., Martin, A., Przybocki, M., and Reynolds, D. (1998). Sheep, Goats, Lambs and Wolves: A Statistical Analysis of Speaker Performance in the NIST 1998 Speaker Recognition Evaluation.","DOI":"10.21437\/ICSLP.1998-244"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"220","DOI":"10.1109\/TPAMI.2008.291","article-title":"The Biometric Menagerie","volume":"32","author":"Yager","year":"2010","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1109\/TBME.2003.808805","article-title":"A dynamical model for generating synthetic electrocardiogram signals","volume":"50","author":"McSharry","year":"2003","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_68","doi-asserted-by":"crossref","unstructured":"Kamel, M., and Campilho, A. (2013). Outlier Detection in Non-intrusive ECG Biometric System. Proceedings of the 10th International Conference on Image Analysis and Recognition (ICIAR 2013), P\u00f3voa do Varzim, Portugal, 26\u201328 June 2013, Springer.","DOI":"10.1007\/978-3-642-39094-4"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/17\/10\/2228\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:46:12Z","timestamp":1760208372000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/17\/10\/2228"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,9,28]]},"references-count":68,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2017,10]]}},"alternative-id":["s17102228"],"URL":"https:\/\/doi.org\/10.3390\/s17102228","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,9,28]]}}}