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Personalization of the Workplace through a Proximity Detection System Using User’s Profiles: Profile on PlumX
Título : Personalization of the Workplace through a Proximity Detection System Using User’s Profiles
Autor(es) : Zato Domínguez, Carolina
Sánchez, Alejandro
Villarrubia González, Gabriel
Bajo Pérez, Javier
Rodríguez González, Sara
de Paz Santana, Juan F.
Palabras clave : Computer Science
Fecha de publicación : 2013
Editor : Springer Science + Business Media
Citación : 7th 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.
Resumen : This 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.
URI : http://dx.doi.org/10.1007/978-3-642-30867-3_45
http://hdl.handle.net/10366/134838
ISBN : 978-3-642-30866-6(Print) / 978-3-642-30867-3(Online)
ISSN : 2194-5357
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