Mañana, JUEVES, 24 DE ABRIL, el sistema se apagará debido a tareas habituales de mantenimiento a partir de las 9 de la mañana. Lamentamos las molestias.

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dc.contributor.authorFaundez-Zanuy, Marcoses_ES
dc.contributor.authorFiérrez Aguilar, Julián es_ES
dc.contributor.authorFerrer, Miguel A.es_ES
dc.contributor.authorDiaz, Moiseses_ES
dc.contributor.authorTolosana Moranchel, Rubén es_ES
dc.contributor.authorPlamondon, Réjeanes_ES
dc.contributor.otherUAM. Departamento de Tecnología Electrónica y de las Comunicacioneses_ES
dc.date.accessioned2022-06-03T14:47:58Zen_US
dc.date.available2022-06-03T14:47:58Zen_US
dc.date.issued2020-09en_US
dc.identifier.citationCognitive Computation 12.5 (2020): 940–953en_US
dc.identifier.issn1866-9956 (print)en_US
dc.identifier.issn1866-9964 (online)en_US
dc.identifier.urihttp://hdl.handle.net/10486/702359en_US
dc.description.abstractOnline handwritten analysis presents many applications in e-security, signature biometrics being the most popular but not the only one. Handwriting analysis also has an important set of applications in e-health. Both kinds of applications (e-security and e-health) have some unsolved questions and relations among them that should be addressed in the next years. We summarize the state of the art and applications based on handwriting signals. Later on, we focus on the main achievements and challenges that should be addressed by the scientific community, providing a guide for future research. Among all the points discussed in this article, we remark the importance of considering security, health, and metadata from a joint perspective. This is especially critical due to the risks inherent when using these behavioral signalsen_US
dc.description.sponsorshipThis study was funded by Spanish grants MINECO/FEDER TEC2016-77791-C4 and RTI2018-101248-B-I00, IDEA-FAST (H2020-JTI-IMI2-2018-15-two-stage-853981), Bio-Guard (Ayudas Fundacion BBVA 2017), and Cecabank. Réjean Plamondon has been supported by NSERC Grant RGPIN-2015-06409. Ruben Tolosana enjoys a postdoc position funded by Comunidad de Madrid (PEJD-2019-POST/TIC-16031)en_US
dc.format.extent14 pag.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.relation.ispartofCognitive Computationen_US
dc.rights© The author(s)en_US
dc.subject.otherBiometricsen_US
dc.subject.othere-Healthen_US
dc.subject.othere-Securityen_US
dc.subject.otherOnline handwritingen_US
dc.subject.otherPrivacyen_US
dc.titleHandwriting Biometrics: Applications and Future Trends in e-Security and e-Healthen_US
dc.typearticleen_US
dc.subject.ecienciaTelecomunicacioneses_ES
dc.relation.publisherversionhttp://doi.org/10.1007/s12559-020-09755-zen_US
dc.identifier.doi10.1007/s12559-020-09755-zen_US
dc.identifier.publicationfirstpage940es_ES
dc.identifier.publicationissue5es_ES
dc.identifier.publicationlastpage953es_ES
dc.identifier.publicationvolume12es_ES
dc.relation.projectIDGobierno de España. TEC2016-77791-C4es_ES
dc.relation.projectIDGobierno de España. RTI2018-101248-B-I00es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/853981/EU/IDEA-FASTen_US
dc.type.versioninfo:eu-repo/semantics/publishedVersionen_US
dc.rights.ccReconocimientoes_ES
dc.rights.accessRightsopenAccessen_US
dc.facultadUAMEscuela Politécnica Superiores_ES


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