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System for monitoring the wellness state of people in domestic environments employing emoticon-based HCI

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System for monitoring the wellness state of people in domestic environments employing emoticon-based HCI

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dc.contributor.author García-García, Laura es_ES
dc.contributor.author Parra-Boronat, Lorena es_ES
dc.contributor.author Romero Martínez, José Oscar es_ES
dc.contributor.author Lloret, Jaime es_ES
dc.date.accessioned 2018-05-21T04:34:56Z
dc.date.available 2018-05-21T04:34:56Z
dc.date.issued 2017 es_ES
dc.identifier.issn 0920-8542 es_ES
dc.identifier.uri http://hdl.handle.net/10251/102349
dc.description.abstract [EN] Wellness state is affected by the habitability state of the domestic environment. Monitoring it can help to discover the causes of a low wellness levels aiding people in the improvement of their quality of life. In this paper, we propose a system to monitor the wellness state of people utilizing Likert¿s scale to determine the state of the user through an emoticon-based human¿computer interaction. The system is intended for domestic environments and measures the habitability conditions of the dwelling (such as temperature, humidity, luminosity and noise) employing sensors. An algorithm is designed in order to establish how to measure those conditions and to calculate the statistics that allows tracking their progress. The obtained information is presented to the user to compare his/her wellness state with the habitability conditions. Measures in a real domestic environment were performed in order to determine the configuration of our system. The energy efficiency of the algorithm provides an improvement between 99.36 and 99.62% in the energy consumption depending on the selected parameters. es_ES
dc.description.sponsorship This work has been partially supported by the “Ministerio de Ciencia e Innovación”, through the “Plan Nacional de I+D+i 2008–2011” and by the “Ministerio de Educación, Cultura y Deporte”, through the grand “Ayudas para contratos predoctorales de Formación del Profesorado Universitario FPU14/02953”.
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof The Journal of Supercomputing es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Human computer interaction es_ES
dc.subject Wellness state es_ES
dc.subject Habitability es_ES
dc.subject E-health es_ES
dc.subject Indoor monitoring es_ES
dc.subject.classification TECNOLOGIA DEL MEDIO AMBIENTE es_ES
dc.subject.classification INGENIERIA TELEMATICA es_ES
dc.title System for monitoring the wellness state of people in domestic environments employing emoticon-based HCI es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s11227-017-2214-4 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MECD//FPU2014-02953/ES/FPU2014-02953/ es_ES
dc.rights.accessRights Abierto es_ES
dc.date.embargoEndDate 2018-12-13 es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Investigación para la Gestión Integral de Zonas Costeras - Institut d'Investigació per a la Gestió Integral de Zones Costaneres es_ES
dc.description.bibliographicCitation García-García, L.; Parra-Boronat, L.; Romero Martínez, JO.; Lloret, J. (2017). System for monitoring the wellness state of people in domestic environments employing emoticon-based HCI. The Journal of Supercomputing. 1-25. https://doi.org/10.1007/s11227-017-2214-4 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s11227-017-2214-4 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 25 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela S\357190 es_ES
dc.contributor.funder Ministerio de Educación, Cultura y Deporte es_ES
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