Ver ítem 

Mostrar el registro sencillo del ítem

Título
Personalization of the Workplace through a Proximity Detection System Using User’s Profiles
dc.contributor.authorZato Domínguez, Davinia Carolina 
dc.contributor.authorMorales Sánchez, Alejandro 
dc.contributor.authorVillarrubia González, Gabriel 
dc.contributor.authorBajo Pérez, Javier
dc.contributor.authorRodríguez González, Sara 
dc.contributor.authorDe Paz, Juan F. 
dc.date.accessioned2017-09-06T09:14:04Z
dc.date.available2017-09-06T09:14:04Z
dc.date.issued2013
dc.identifier.citation7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing Advances in Intelligent Systems and Computing. Advances in Intelligent Systems and Computing. Volumen 172, pp. 505-513.
dc.identifier.isbn978-3-642-30866-6(Print) / 978-3-642-30867-3(Online)
dc.identifier.issn2194-5357
dc.identifier.urihttp://dx.doi.org/10.1007/978-3-642-30867-3_45
dc.identifier.urihttp://hdl.handle.net/10366/134838
dc.description.abstractThis article presents a proximity detection prototype that will be included in the future in an integral system primarily oriented to facilitate the labor integration of people with disabilities. The main goal of the prototype is to detect the proximity of a person to a computer using ZigBee technology and then, to personalize its workplace according to his user’s profile. The system has been developed as an open MultiAgent System architecture using the agent’s platform PANGEA, a Platform for Automatic coNstruction of orGanizations of intElligent Agents.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherSpringer Science + Business Media
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputer Science
dc.titlePersonalization of the Workplace through a Proximity Detection System Using User’s Profiles
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


Ficheros en el ítem

Thumbnail
Nombre:
paper_2.pdf
Tamaño:
617.8Kb
Formato:
PDF
Ver/

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem

Attribution-NonCommercial-NoDerivs 3.0 Unported
Excepto si se señala otra cosa, la licencia del ítem se describe como Attribution-NonCommercial-NoDerivs 3.0 Unported