Activity Recognition in Opportunistic Sensor Environments

Daniel Roggen, Alberto Calatroni, Kilian Förster, Gerhard Tröster, Paul Lukowicz, David Bannach, Alois Ferscha, Marc Kurz, Gerold Hölzl, Hesam Sagha, Jose Millan, Ricardo Chavarriaga

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

8 Zitate (Scopus)

Abstract

OPPORTUNITY is project under the EU FET-Open funding1 in which we develop mobile systems to recognize human activity in dynamically varying sensor setups [1,2]. The system autonomously discovers available sensors around the user and self-configures to recognize desired activities. It reconfigures itself as the environment changes, and encompasses principles supporting autonomous operation in open-ended environments.OPPORTUNITYmainstreams ambient intelligence and improves user acceptance by relaxing constraints on body-worn sensor characteristics, and eases the deployment in real-world environments.We summarize key achievements of the project so far. The project outcomes are robust activity recognition systems. This may enable smarter activity-aware energy-management in buildings, and advanced activity-aware health assistants.

OriginalspracheEnglisch
TitelThe European Future Technologies Conference and Exhibition (FET11)
Seiten173-174
Seitenumfang2
Band7
DOIs
PublikationsstatusVeröffentlicht - 2011
VeranstaltungThe European Future Technologies Conference and Exhibition 2011 - Budapest, Ungarn
Dauer: 4 Mai 20116 Mai 2011

Publikationsreihe

NameProcedia Computer Science
Herausgeber (Verlag)Elsevier BV

Konferenz

KonferenzThe European Future Technologies Conference and Exhibition 2011
Land/GebietUngarn
OrtBudapest
Zeitraum04.05.201106.05.2011

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