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dc.contributor.author
Calatroni, Alberto
dc.contributor.author
Roggen, Daniel
dc.contributor.author
Tröster, Gerhard
dc.contributor.editor
Petrović, Ivan
dc.contributor.editor
Korondi, Péter
dc.date.accessioned
2021-07-28T11:54:44Z
dc.date.available
2017-06-10T13:17:03Z
dc.date.available
2018-09-13T07:29:23Z
dc.date.available
2021-07-28T11:49:46Z
dc.date.available
2021-07-28T11:54:44Z
dc.date.issued
2012
dc.identifier.isbn
978-3-902823-11-3
en_US
dc.identifier.issn
1474-6670
dc.identifier.other
10.3182/20120905-3-HR-2030.00181
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/62610
dc.description.abstract
The next generation of ambient intelligence environments will support people throughout their lives with much greater autonomy and capacity to assist than nowadays. To achieve this, a shift is required away from one mainstream view in ubiquitous computing: the “handcrafting” of extremely application specific and narrowly defined “context-aware assistants”. Instead, ambient intelligence and physically embedded intelligent systems (PEIS) will converge. A key for this to happen is for PEIS to be context-aware: they must especially be able to infer the activities, behaviors, intentions, and even emotions of users in their daily life. As the environment can be very dynamic, with changing resources or user expectations, so must the PEIS. We approach this problem by an ecology of Context Cells: items with communication and processing capabilities geared at discovering and classifying patterns of human behaviors. The physica implementation of a Context Cell is a situated sensor-actuator node. Individual “specialized” cells are independently capable of context awareness, and capable of adaptation. Cells cooperate with each other to recognize more complex pieces of context, increase performance, or increase robustness to faults. Finally, cells can train other “undifferentiated” cells which are newly discovered in the ambient intelligence environment. This allows to extend the coverage of context awareness through the environment by spreading capabilities among cells. The ecology of Context Cells forms the substrate for ambient intelligence environments capable of lifelong adaptation and evolution guided by the user's expectations.
en_US
dc.language.iso
en
en_US
dc.publisher
Elsevier
en_US
dc.subject
Human machine interface
en_US
dc.subject
Autonomous control
en_US
dc.subject
Learning systems
en_US
dc.title
Design of an ecology of activity-aware cells in ambient intelligence environments
en_US
dc.type
Conference Paper
dc.date.published
2016-04-21
ethz.book.title
10th IFAC Symposium on Robot Control, SYROCO 2012. Preprints
en_US
ethz.journal.title
IFAC Proceedings Volumes
ethz.journal.volume
45
en_US
ethz.journal.issue
22
en_US
ethz.pages.start
441
en_US
ethz.pages.end
446
en_US
ethz.event
10th IFAC Symposium on Robot Control (SYROCO 2012)
en_US
ethz.event.location
Dubrovnik, Croatia
en_US
ethz.event.date
September 5-7, 2012
en_US
ethz.publication.place
Oxford
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02634 - Institut für Elektronik / Institute for Electronics::03388 - Tröster, Gerhard (emeritus)
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02634 - Institut für Elektronik / Institute for Electronics::03388 - Tröster, Gerhard (emeritus)
ethz.date.deposited
2017-06-10T13:17:11Z
ethz.source
ECIT
ethz.identifier.importid
imp59365047bf09367006
ethz.ecitpid
pub:99355
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2017-07-15T20:53:00Z
ethz.rosetta.lastUpdated
2020-02-15T15:01:43Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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