Deep Learning system for user identification using sensors on doorknobs

Producción Científica

Detalles Bibliográficos
Autores: Vegas Hernández, Jesús María, Rao, A. Ravishankar, Llamas Bello, César
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Universidad de Valladolid
Repositorio:UVaDOC. Repositorio Documental de la Universidad de Valladolid
OAI Identifier:oai:uvadoc.uva.es:10324/74516
Acceso en línea:https://doi.org/10.3390/S24155072
https://uvadoc.uva.es/handle/10324/74516
Access Level:acceso abierto
Palabra clave:access control
User identification
IoT
sensors
machine learning
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spelling Deep Learning system for user identification using sensors on doorknobsVegas Hernández, Jesús MaríaRao, A. RavishankarLlamas Bello, Césaraccess controlUser identificationIoTsensorsmachine learningProducción CientíficaDoor access control systems are important to protect the security and integrity of physical spaces. Accuracy and speed are important factors that govern their performance. In this paper, we investigate a novel approach to identify users by measuring patterns of their interactions with a doorknob via an embedded accelerometer and gyroscope and by applying deep-learning-based algorithms to these measurements. Our identification results obtained from 47 users show an accuracy of 90.2%. When the sex of the user is used as an input feature, the accuracy is 89.8% in the case of male individuals and 97.0% in the case of female individuals. We study how the accuracy is affected by the sample duration, finding that is its possible to identify users using a sample of 0.5 s with an accuracy of 68.5%. Our results demonstrate the feasibility of using patterns of motor activity to provide access control, thus extending with it the set of alternatives to be considered for behavioral biometrics.MDPI2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://doi.org/10.3390/S24155072https://uvadoc.uva.es/handle/10324/74516reponame:UVaDOC. Repositorio Documental de la Universidad de Valladolidinstname:Universidad de ValladolidIngléshttps://www.mdpi.com/1424-8220/24/15/5072info:eu-repo/semantics/openAccesshttp://creativecommons.org/publicdomain/zero/1.0/oai:uvadoc.uva.es:10324/745162026-06-13T12:44:47Z
dc.title.none.fl_str_mv Deep Learning system for user identification using sensors on doorknobs
title Deep Learning system for user identification using sensors on doorknobs
spellingShingle Deep Learning system for user identification using sensors on doorknobs
Vegas Hernández, Jesús María
access control
User identification
IoT
sensors
machine learning
title_short Deep Learning system for user identification using sensors on doorknobs
title_full Deep Learning system for user identification using sensors on doorknobs
title_fullStr Deep Learning system for user identification using sensors on doorknobs
title_full_unstemmed Deep Learning system for user identification using sensors on doorknobs
title_sort Deep Learning system for user identification using sensors on doorknobs
dc.creator.none.fl_str_mv Vegas Hernández, Jesús María
Rao, A. Ravishankar
Llamas Bello, César
author Vegas Hernández, Jesús María
author_facet Vegas Hernández, Jesús María
Rao, A. Ravishankar
Llamas Bello, César
author_role author
author2 Rao, A. Ravishankar
Llamas Bello, César
author2_role author
author
dc.subject.none.fl_str_mv access control
User identification
IoT
sensors
machine learning
topic access control
User identification
IoT
sensors
machine learning
description Producción Científica
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.3390/S24155072
https://uvadoc.uva.es/handle/10324/74516
url https://doi.org/10.3390/S24155072
https://uvadoc.uva.es/handle/10324/74516
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://www.mdpi.com/1424-8220/24/15/5072
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/publicdomain/zero/1.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/publicdomain/zero/1.0/
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
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instname:Universidad de Valladolid
instname_str Universidad de Valladolid
reponame_str UVaDOC. Repositorio Documental de la Universidad de Valladolid
collection UVaDOC. Repositorio Documental de la Universidad de Valladolid
repository.name.fl_str_mv
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