The present work is focused on the improvement of a Sensing Seat system previously developed by the authors for the initial authentication purpose in office and car scenarios. The goal is to obtain an event-related continuous authentication system, where the human subject should not take care of the system itself so that he is free to perform his normal actions. The system is realized by means of a sensing cover where conductive elastomers are used as strain sensors. The deformation of the cover caused by the body shape while actions are performed by the subject are used to obtain time-dependent relevant features. Such information are then analyzed by suitable classifiers that are able to perform the real-time continuous authentication task. A measurement campaign was carried out using data from 24 human subjects employed in an office scenario while a set of 22 actions were performed. The authentication capabilities of the system are reported in terms of acceptance and rejection rates, showing a high degree of correct classification.

Event Related Biometrics: Towards an Unobtrusive Sensing Seat System for Continuous Human Authentication

Ferro M;Pioggia G;
2009

Abstract

The present work is focused on the improvement of a Sensing Seat system previously developed by the authors for the initial authentication purpose in office and car scenarios. The goal is to obtain an event-related continuous authentication system, where the human subject should not take care of the system itself so that he is free to perform his normal actions. The system is realized by means of a sensing cover where conductive elastomers are used as strain sensors. The deformation of the cover caused by the body shape while actions are performed by the subject are used to obtain time-dependent relevant features. Such information are then analyzed by suitable classifiers that are able to perform the real-time continuous authentication task. A measurement campaign was carried out using data from 24 human subjects employed in an office scenario while a set of 22 actions were performed. The authentication capabilities of the system are reported in terms of acceptance and rejection rates, showing a high degree of correct classification.
Campo DC Valore Lingua
dc.authority.orgunit Istituto di Fisiologia Clinica - IFC -
dc.authority.people Ferro M it
dc.authority.people Pioggia G it
dc.authority.people Tognetti A it
dc.authority.people Dalle Mura G it
dc.authority.people De Rossi D it
dc.collection.id.s 71c7200a-7c5f-4e83-8d57-d3d2ba88f40d *
dc.collection.name 04.01 Contributo in Atti di convegno *
dc.contributor.appartenenza Istituto per la Ricerca e l'Innovazione Biomedica -IRIB *
dc.contributor.appartenenza.mi 1103 *
dc.date.accessioned 2024/02/15 21:08:31 -
dc.date.available 2024/02/15 21:08:31 -
dc.date.issued 2009 -
dc.description.abstracteng The present work is focused on the improvement of a Sensing Seat system previously developed by the authors for the initial authentication purpose in office and car scenarios. The goal is to obtain an event-related continuous authentication system, where the human subject should not take care of the system itself so that he is free to perform his normal actions. The system is realized by means of a sensing cover where conductive elastomers are used as strain sensors. The deformation of the cover caused by the body shape while actions are performed by the subject are used to obtain time-dependent relevant features. Such information are then analyzed by suitable classifiers that are able to perform the real-time continuous authentication task. A measurement campaign was carried out using data from 24 human subjects employed in an office scenario while a set of 22 actions were performed. The authentication capabilities of the system are reported in terms of acceptance and rejection rates, showing a high degree of correct classification. -
dc.description.affiliations Interdepartmental Research Center E. Piaggio - Faculty of Engineering; Institute of Clinical Physiology (IFC) - National Council of Research (CNR) -
dc.description.allpeople Ferro, M; Pioggia, G; Tognetti, A; Dalle Mura, G; De Rossi, D -
dc.description.allpeopleoriginal Ferro M; Pioggia G; Tognetti A; Dalle Mura G; De Rossi D -
dc.description.fulltext restricted en
dc.description.numberofauthors 5 -
dc.identifier.doi 10.1109/ISDA.2009.256 -
dc.identifier.isbn 978-1-4244-4735-0 -
dc.identifier.isi WOS:000288405800116 -
dc.identifier.scopus 2-s2.0-77949509835 -
dc.identifier.uri https://hdl.handle.net/20.500.14243/234945 -
dc.language.iso eng -
dc.relation.conferencedate 30 Nov - 02 Dec -
dc.relation.conferencename Intelligent Systems Design and Applications, 2009. ISDA '09. Ninth International Conference on -
dc.relation.conferenceplace Pisa, Italy -
dc.relation.firstpage 679 -
dc.relation.lastpage 682 -
dc.relation.numberofpages 4 -
dc.title Event Related Biometrics: Towards an Unobtrusive Sensing Seat System for Continuous Human Authentication en
dc.type.driver info:eu-repo/semantics/conferenceObject -
dc.type.full 04 Contributo in convegno::04.01 Contributo in Atti di convegno it
dc.type.miur 273 -
dc.type.referee Sì, ma tipo non specificato -
dc.ugov.descaux1 185528 -
iris.isi.extIssued 2009 -
iris.isi.extTitle Event Related Biometrics: Towards an Unobtrusive Sensing Seat System for Continuous Human Authentication -
iris.isi.ideLinkStatusDate 2025/12/05 12:36:42 *
iris.isi.ideLinkStatusMillisecond 1764934602183 *
iris.mediafilter.data 2025/04/18 03:09:15 *
iris.orcid.lastModifiedDate 2025/12/05 12:36:42 *
iris.orcid.lastModifiedMillisecond 1764934602175 *
iris.scopus.extIssued 2009 -
iris.scopus.extTitle Event related biometrics: Towards an unobtrusive sensing seat system for continuous human authentication -
iris.sitodocente.maxattempts 12 -
iris.unpaywall.doi 10.1109/isda.2009.256 *
iris.unpaywall.isoa false *
iris.unpaywall.metadataCallLastModified 06/12/2025 04:23:22 -
iris.unpaywall.metadataCallLastModifiedMillisecond 1764991402234 -
iris.unpaywall.oastatus closed *
isi.authority.anceserie INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATION###2164-7143 *
isi.category IQ *
isi.category EP *
isi.category ET *
isi.contributor.affiliation University of Pisa -
isi.contributor.affiliation Consiglio Nazionale delle Ricerche (CNR) -
isi.contributor.affiliation University of Pisa -
isi.contributor.affiliation University of Pisa -
isi.contributor.affiliation University of Pisa -
isi.contributor.country Italy -
isi.contributor.country Italy -
isi.contributor.country Italy -
isi.contributor.country Italy -
isi.contributor.country Italy -
isi.contributor.name Marcello -
isi.contributor.name Giovanni -
isi.contributor.name Alessandro -
isi.contributor.name Gabriele Dalle -
isi.contributor.name Danilo -
isi.contributor.researcherId D-6260-2016 -
isi.contributor.researcherId C-8119-2016 -
isi.contributor.researcherId Q-6711-2017 -
isi.contributor.researcherId HWG-7285-2023 -
isi.contributor.researcherId CNF-7252-2022 -
isi.contributor.subaffiliation Fac Engn -
isi.contributor.subaffiliation CNR -
isi.contributor.subaffiliation Fac Engn -
isi.contributor.subaffiliation Fac Engn -
isi.contributor.subaffiliation Fac Engn -
isi.contributor.surname Ferro -
isi.contributor.surname Pioggia -
isi.contributor.surname Tognetti -
isi.contributor.surname Mura -
isi.contributor.surname De Rossi -
isi.date.issued 2009 *
isi.description.abstracteng The present work is focused on the improvement of a Sensing Seat system previously developed by the authors for the initial authentication purpose in office and car scenarios. The goal is to obtain an event-related continuous authentication system, where the human subject should not take care of the system itself so that he is free to perform his normal actions. The system is realized by means of a sensing cover where conductive elastomers are used as strain sensors. The deformation of the cover caused by the body shape while actions are performed by the subject are used to obtain time-dependent relevant features. Such information are then analyzed by suitable classifiers that are able to perform the real-time continuous authentication task. A measurement campaign was carried out using data from 24 human subjects employed in an office scenario while a set of 22 actions were performed. The authentication capabilities of the system are reported in terms of acceptance and rejection rates, showing a high degree of correct classification. *
isi.description.allpeopleoriginal Ferro, M; Pioggia, G; Tognetti, A; Mura, GD; De Rossi, D; *
isi.document.sourcetype WOS.ISTP *
isi.document.type Proceedings Paper *
isi.document.types Proceedings Paper *
isi.identifier.doi 10.1109/ISDA.2009.256 *
isi.identifier.isi WOS:000288405800116 *
isi.journal.journaltitle 2009 9TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS *
isi.journal.journaltitleabbrev INT CONF INTELL SYST *
isi.language.original English *
isi.publisher.place 345 E 47TH ST, NEW YORK, NY 10017 USA *
isi.relation.firstpage 679 *
isi.relation.lastpage + *
isi.title Event Related Biometrics: Towards an Unobtrusive Sensing Seat System for Continuous Human Authentication *
scopus.category 1712 *
scopus.category 1711 *
scopus.category 1703 *
scopus.category 1702 *
scopus.contributor.affiliation University of Pisa -
scopus.contributor.affiliation National Council of Research (CNR) -
scopus.contributor.affiliation University of Pisa -
scopus.contributor.affiliation University of Pisa -
scopus.contributor.affiliation University of Pisa -
scopus.contributor.afid 60028868 -
scopus.contributor.afid 60009071 -
scopus.contributor.afid 60028868 -
scopus.contributor.afid 60028868 -
scopus.contributor.afid 60028868 -
scopus.contributor.auid 15759406100 -
scopus.contributor.auid 8957312900 -
scopus.contributor.auid 34769385900 -
scopus.contributor.auid 24474359700 -
scopus.contributor.auid 23488184900 -
scopus.contributor.country Italy -
scopus.contributor.country Italy -
scopus.contributor.country Italy -
scopus.contributor.country Italy -
scopus.contributor.country Italy -
scopus.contributor.dptid 104458886 -
scopus.contributor.dptid -
scopus.contributor.dptid 104458886 -
scopus.contributor.dptid 104458886 -
scopus.contributor.dptid 104458886 -
scopus.contributor.name Marcello -
scopus.contributor.name Giovanni -
scopus.contributor.name Alessandro -
scopus.contributor.name Gabriele -
scopus.contributor.name Danilo -
scopus.contributor.subaffiliation Interdepartmental Research Center E. Piaggio;Faculty of Engineering; -
scopus.contributor.subaffiliation Institute of Clinical Physiology (IFC); -
scopus.contributor.subaffiliation Interdepartmental Research Center E. Piaggio;Faculty of Engineering; -
scopus.contributor.subaffiliation Interdepartmental Research Center E. Piaggio;Faculty of Engineering; -
scopus.contributor.subaffiliation Interdepartmental Research Center E. Piaggio;Faculty of Engineering; -
scopus.contributor.surname Ferro -
scopus.contributor.surname Pioggia -
scopus.contributor.surname Tognetti -
scopus.contributor.surname Dalle Mura -
scopus.contributor.surname De Rossi -
scopus.date.issued 2009 *
scopus.description.abstracteng The present work is focused on the improvement of a Sensing Seat system previously developed by the authors for the initial authentication purpose in office and car scenarios. The goal is to obtain an event-related continuous authentication system, where the human subject should not take care of the system itself so that he is free to perform his normal actions. The system is realized by means of a sensing cover where conductive elastomers are used as strain sensors. The deformation of the cover caused by the body shape while actions are performed by the subject are used to obtain time-dependent relevant features. Such information are then analyzed by suitable classifiers that are able to perform the real-time continuous authentication task. A measurement campaign was carried out using data from 24 human subjects employed in an office scenario while a set of 22 actions were performed. The authentication capabilities of the system are reported in terms of acceptance and rejection rates, showing a high degree of correct classification. © 2009 IEEE. *
scopus.description.allpeopleoriginal Ferro M.; Pioggia G.; Tognetti A.; Dalle Mura G.; De Rossi D. *
scopus.differences scopus.relation.conferencename *
scopus.differences scopus.subject.keywords *
scopus.differences scopus.relation.conferencedate *
scopus.differences scopus.identifier.isbn *
scopus.differences scopus.description.allpeopleoriginal *
scopus.differences scopus.description.abstracteng *
scopus.differences scopus.relation.conferenceplace *
scopus.document.type cp *
scopus.document.types cp *
scopus.identifier.doi 10.1109/ISDA.2009.256 *
scopus.identifier.isbn 9780769538723 *
scopus.identifier.pui 358469921 *
scopus.identifier.scopus 2-s2.0-77949509835 *
scopus.journal.sourceid 19700167108 *
scopus.language.iso eng *
scopus.relation.article 5365057 *
scopus.relation.conferencedate 2009 *
scopus.relation.conferencename 9th International Conference on Intelligent Systems Design and Applications, ISDA 2009 *
scopus.relation.conferenceplace Pisa, ita *
scopus.relation.firstpage 679 *
scopus.relation.lastpage 682 *
scopus.subject.keywords Biometrics; Event-related human authentication; Monitoring; Security; Sensing seat; Strain sensor; *
scopus.title Event related biometrics: Towards an unobtrusive sensing seat system for continuous human authentication *
scopus.titleeng Event related biometrics: Towards an unobtrusive sensing seat system for continuous human authentication *
Appare nelle tipologie: 04.01 Contributo in Atti di convegno
File in questo prodotto:
File Dimensione Formato  
prod_185528-doc_33742.pdf

solo utenti autorizzati

Descrizione: Event Related Biometrics: Towards an Unobtrusive Sensing Seat System for Continuous Human Authentication
Dimensione 377.22 kB
Formato Adobe PDF
377.22 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/234945
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 5
  • ???jsp.display-item.citation.isi??? 3
social impact