Sensor based dataset for the identification of users with a door handle

Abstract: This data set consists of series of vectors formed from angular speeds and accelerations, conveniently labeled with time in µseconds. A total of 47 individuals (13 female and 34 male) aged from 18 to 68 years old collaborated in the making of our database. Independently of whether the subj...

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Detalles Bibliográficos
Autores: Vegas Hernández, Jesús María, Llamas Bello, César, González Delgado, Manuel Ángel, Hernández Díez, María Carmen
Tipo de recurso: conjunto de datos
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:10324/68700
Acceso en línea:https://doi.org/10.71569/egam-fj65
https://uvadoc.uva.es/handle/10324/68700
Access Level:acceso abierto
Palabra clave:IoT, Sensors, User identification, Access control
1203.25 Diseño de Sistemas Sensores
1203.14 Sistemas de Control del Entorno
1203.12 Bancos de Datos
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network_acronym_str ES
network_name_str España
repository_id_str
spelling Sensor based dataset for the identification of users with a door handleVegas Hernández, Jesús MaríaLlamas Bello, CésarGonzález Delgado, Manuel ÁngelHernández Díez, María CarmenIoT, Sensors, User identification, Access control1203.25 Diseño de Sistemas Sensores1203.14 Sistemas de Control del Entorno1203.12 Bancos de DatosAbstract: This data set consists of series of vectors formed from angular speeds and accelerations, conveniently labeled with time in µseconds. A total of 47 individuals (13 female and 34 male) aged from 18 to 68 years old collaborated in the making of our database. Independently of whether the subject was right- or left-handed, the individuals were asked to interact as naturally as possible with a right-handed door handle for 25 repetitions on a firmly closed door. The subjects were asked to try to open a closed door: (i) to start at a distance of 3 m right in front of the door and walk as they usually will do with the intention of acting on the door handle, then (ii) to act on the door handle, (iii) to wait a very short time with the lever on the end-stop position, (iv) to release the force while handling the door handle, and finally (v) to move away the hand. For each of the donors, age, gender and height were recorded and stored aside the samples. No other personal information was included on it. All the persons were informed about the purpose of the corpus, and that the recorded data would be made available for the community in an anonymous way, and they signed an uninterested agreement donating of the data. The first 200 samples of each series capture the rest state of the system before the instant in which the platform detects a significant change in the energy of the signal; from this very moment the platform acquires a fixed amount of samples up to complete a total duration of 2.5 s, that we considered large enough to gather all data. Discarding some series that did not contain the whole user interaction with the door handle was a minor problem, and finally a corpus consisting of 20 repetitions for each subject was created and labeled, resulting of a total of 960 attempts of opening a door.Grupo de Tecnologías de la InformaciónknobID_dataset_GA.csv - Indexed dataset with acquired values from 6DOF IMU sensor unit.meta_final_dataset - Index of users containing gender, right/left handed, height, ageReadme - Dataset descriptionUniversidad de Valladolid. Escuela de Ingeniería Informática de Valladolid2024info:eu-repo/semantics/datasetinfo:eu-repo/semantics/publishedVersiontext/csvhttps://doi.org/10.71569/egam-fj65https://uvadoc.uva.es/handle/10324/68700reponame:UVaDOC. Repositorio Documental de la Universidad de Valladolidinstname:Universidad de ValladolidIngléshttps://doi.org/10.1016/j.pmcj.2020.101293info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-sa/4.0/oai:uvadoc.uva.es:10324/687002026-06-13T12:44:47Z
dc.title.none.fl_str_mv Sensor based dataset for the identification of users with a door handle
title Sensor based dataset for the identification of users with a door handle
spellingShingle Sensor based dataset for the identification of users with a door handle
Vegas Hernández, Jesús María
IoT, Sensors, User identification, Access control
1203.25 Diseño de Sistemas Sensores
1203.14 Sistemas de Control del Entorno
1203.12 Bancos de Datos
title_short Sensor based dataset for the identification of users with a door handle
title_full Sensor based dataset for the identification of users with a door handle
title_fullStr Sensor based dataset for the identification of users with a door handle
title_full_unstemmed Sensor based dataset for the identification of users with a door handle
title_sort Sensor based dataset for the identification of users with a door handle
dc.creator.none.fl_str_mv Vegas Hernández, Jesús María
Llamas Bello, César
González Delgado, Manuel Ángel
Hernández Díez, María Carmen
author Vegas Hernández, Jesús María
author_facet Vegas Hernández, Jesús María
Llamas Bello, César
González Delgado, Manuel Ángel
Hernández Díez, María Carmen
author_role author
author2 Llamas Bello, César
González Delgado, Manuel Ángel
Hernández Díez, María Carmen
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidad de Valladolid. Escuela de Ingeniería Informática de Valladolid
dc.subject.none.fl_str_mv IoT, Sensors, User identification, Access control
1203.25 Diseño de Sistemas Sensores
1203.14 Sistemas de Control del Entorno
1203.12 Bancos de Datos
topic IoT, Sensors, User identification, Access control
1203.25 Diseño de Sistemas Sensores
1203.14 Sistemas de Control del Entorno
1203.12 Bancos de Datos
description Abstract: This data set consists of series of vectors formed from angular speeds and accelerations, conveniently labeled with time in µseconds. A total of 47 individuals (13 female and 34 male) aged from 18 to 68 years old collaborated in the making of our database. Independently of whether the subject was right- or left-handed, the individuals were asked to interact as naturally as possible with a right-handed door handle for 25 repetitions on a firmly closed door. The subjects were asked to try to open a closed door: (i) to start at a distance of 3 m right in front of the door and walk as they usually will do with the intention of acting on the door handle, then (ii) to act on the door handle, (iii) to wait a very short time with the lever on the end-stop position, (iv) to release the force while handling the door handle, and finally (v) to move away the hand. For each of the donors, age, gender and height were recorded and stored aside the samples. No other personal information was included on it. All the persons were informed about the purpose of the corpus, and that the recorded data would be made available for the community in an anonymous way, and they signed an uninterested agreement donating of the data. The first 200 samples of each series capture the rest state of the system before the instant in which the platform detects a significant change in the energy of the signal; from this very moment the platform acquires a fixed amount of samples up to complete a total duration of 2.5 s, that we considered large enough to gather all data. Discarding some series that did not contain the whole user interaction with the door handle was a minor problem, and finally a corpus consisting of 20 repetitions for each subject was created and labeled, resulting of a total of 960 attempts of opening a door.
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/dataset
info:eu-repo/semantics/publishedVersion
format dataset
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.71569/egam-fj65
https://uvadoc.uva.es/handle/10324/68700
url https://doi.org/10.71569/egam-fj65
https://uvadoc.uva.es/handle/10324/68700
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://doi.org/10.1016/j.pmcj.2020.101293
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-sa/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-sa/4.0/
dc.format.none.fl_str_mv text/csv
dc.source.none.fl_str_mv reponame:UVaDOC. Repositorio Documental de la Universidad de Valladolid
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
repository.mail.fl_str_mv
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score 15,81155

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