On the Feasibility of Low-Cost Wearable Sensors for Multi-Modal Biometric Verification

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dc.contributor.author Blasco Alís, Jorge
dc.contributor.author Peris López, Pedro
dc.date.accessioned 2019-02-07T10:46:01Z
dc.date.available 2019-02-07T10:46:01Z
dc.date.issued 2018-08-24
dc.identifier.bibliographicCitation Blasco, J., Peris-Lopez, P. (2018). On the Feasibility of Low-Cost Wearable Sensors for Multi-Modal Biometric Verification. Sensors, 18 (9), 2782.
dc.identifier.issn 1424-8220
dc.identifier.uri http://hdl.handle.net/10016/28011
dc.description.abstract Biometric systems designed on wearable technology have substantial differences from traditional biometric systems. Due to their wearable nature, they generally capture noisier signals and can only be trained with signals belonging to the device user (biometric verification). In this article, we assess the feasibility of using low-cost wearable sensors—photoplethysmogram (PPG), electrocardiogram (ECG), accelerometer (ACC), and galvanic skin response (GSR)—for biometric verification. We present a prototype, built with low-cost wearable sensors, that was used to capture data from 25 subjects while seated (at resting state), walking, and seated (after a gentle stroll). We used this data to evaluate how the different combinations of signals affected the biometric verification process. Our results showed that the low-cost sensors currently being embedded in many fitness bands and smart-watches can be combined to enable biometric verification. We report and compare the results obtained by all tested configurations. Our best configuration, which uses ECG, PPG and GSR, obtained 0.99 area under the curve and 0.02 equal error rate with only 60 s of training data. We have made our dataset public so that our work can be compared with proposals developed by other researchers.
dc.description.sponsorship This work was supported by the CAM grant S2013/ICE-3095 (CIBERDINE: Cybersecurity, Data, and Risks) and by the MINECO grant TIN2016-79095-C2-2-R (SMOG-DEV—Security mechanisms for fog computing: advanced security for devices).
dc.format.extent 22
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher MDPI
dc.rights © 2018 by the authors; licensee MDPI, Basel, Switzerland.
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other Biometrics
dc.subject.other Verification
dc.subject.other Low-cost sensors
dc.subject.other Wearables
dc.subject.other Electrocardiogram
dc.subject.other Photoplethysmogram
dc.subject.other Accelerometer
dc.title On the Feasibility of Low-Cost Wearable Sensors for Multi-Modal Biometric Verification
dc.type article
dc.subject.eciencia Informática
dc.identifier.doi https://doi.org/10.3390/s18092782
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. TIN2016-79095-C2-2-R
dc.relation.projectID Comunidad de Madrid. S2013/ICE-3095/CIBERDINE
dc.type.version publishedVersion
dc.identifier.publicationissue 9
dc.identifier.publicationtitle Sensors
dc.identifier.publicationvolume 18
dc.identifier.uxxi AR/0000022436
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