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2014
Conference Proceeding
Title

Ambient intelligence. European Conference, AmI 2014

Title Supplement
Eindhoven, The Netherlands, November 11 - 13, 2014; Revised selected papers
Abstract
Since the emergence of ambient intelligence as a vision on consumer electronics, telecommunications, and computing technologies for the time frame 2010-2020 much has changed. The original conceptions of the field discussed, e.g., by Harwig and Aarts still drive current developments. Researchers are still working towards embedding technology in the environment, supporting context awareness, personalization, and adaptivity of ambient intelligence technologies, and even adapting system behavior autonomously to meet user's needs. These ambitions take new meaning and a higher complexity nowadays as they pertain to more numerous, miniaturized, and complex devices than foreseen in the early days of the field. On the other hand, early scenarios of ambient intelligence, as for example those of the ISTAG advisory group which Europeans researched for more than a decade, are starting to reach the consumer market and to become a part of our daily lives. As ambient intelligence is applied in different application domains and new themes arise for the field, it became necessary to explore in-depth some of the most vibrant areas of research in ambient intelligence.
Editor(s)
Aarts, Emile
Univ. Eindhoven
Ruyter, Boris de
Philips Research Europe
Markopoulos, Panos
Univ. Eindhoven
Loenen, Evert van
Philips Research
Wichert, Reiner
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Schouten, Ben
Univ. Eindhoven
Terken, Jacques
Univ. Eindhoven
Kranenburg, Rob van
Waag Society
Ouden, Elke Den
Univ. Eindhoven
O'Hare, Gregory
Univ. College Dublin
Publisher
Springer International Publishing  
Publishing Place
Cham
Conference
European Conference on Ambient Intelligence (AmI) 2014  
DOI
10.1007/978-3-319-14112-1
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • ambient assisted living (AAL)

  • Internet of Things

  • ambient learning

  • Smart Cities

  • smart home

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