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    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/68700

    Título
    Sensor based dataset for the identification of users with a door handle
    Autor
    Vegas Hernández, Jesús MaríaAutoridad UVA Orcid
    Llamas Bello, CésarAutoridad UVA Orcid
    González Delgado, Manuel ÁngelAutoridad UVA Orcid
    Hernández Díez, María CarmenAutoridad UVA Orcid
    Editor
    Universidad de Valladolid. Escuela de Ingeniería Informática de ValladolidAutoridad UVA
    Cobertura temporal
    start=2021-01-15;end=2021-02-15
    Año del Documento
    2024
    Documento Fuente
    Vegas, J., Llamas, C., González, M.A. and Hernández, C., 2021. Identifying users from the interaction with a door handle. Pervasive and Mobile Computing, 70, p.101293.
    Resumen
    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.
    Contiene
    knobID_dataset_GA.csv - Indexed dataset with acquired values from 6DOF IMU sensor unit.
    Materias Unesco
    1203.25 Diseño de Sistemas Sensores
    1203.14 Sistemas de Control del Entorno
    1203.12 Bancos de Datos
    Palabras Clave
    IoT, Sensors, User identification, Access control
    Cobertura espacial
    Valladolid, SPAIN
    Departamento
    Grupo de Tecnologías de la Información
    DOI
    10.71569/egam-fj65
    Idioma
    eng
    URI
    https://uvadoc.uva.es/handle/10324/68700
    Tipo de versión
    info:eu-repo/semantics/publishedVersion
    Derechos
    openAccess
    Es referenciado por
    https://doi.org/10.1016/j.pmcj.2020.101293
    Aparece en las colecciones
    • Datasets [66]
    Mostrar el registro completo del ítem
    Ficheros en el ítem
    Nombre:
    knobID_dataset_GA.csv
    Tamaño:
    100.4Mb
    Formato:
    Texto CSV
    Descripción:
    Indexed dataset with achired values from a 6DOF IMU sensor unit.
    Visualizar/Abrir
    Nombre:
    meta_final_dataset.csv
    Tamaño:
    865bytes
    Formato:
    Texto CSV
    Descripción:
    Index of users containing gender, right/left handed, height, age
    Visualizar/Abrir
    Nombre:
    Readme.txt
    Tamaño:
    3.633Kb
    Formato:
    Texto TXT
    Descripción:
    Information about this dataset
    Visualizar/Abrir
    Atribución-CompartirIgual 4.0 InternacionalLa licencia del ítem se describe como Atribución-CompartirIgual 4.0 Internacional

    Universidad de Valladolid

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