Title :
OPPORTUNITY: Towards opportunistic activity and context recognition systems
Author :
Roggen, Daniel ; Förster, Kilian ; Calatroni, Alberto ; Holleczek, Thomas ; Fang, Yu ; Tröster, Gerhard ; Lukowicz, Paul ; Pirkl, Gerald ; Bannach, David ; Kunze, Kai ; Ferscha, Alois ; Holzmann, Clemens ; Riener, Andreas ; Chavarriaga, Ricardo ; Millán,
Author_Institution :
Wearable Comput. Lab., ETH Zurich, Zurich, Switzerland
Abstract :
Opportunistic sensing allows to efficiently collect information about the physical world and the persons behaving in it. This may mainstream human context and activity recognition in wearable and pervasive computing by removing requirements for a specific deployed infrastructure. In this paper we introduce the newly started European research project OPPORTUNITY within which we develop mobile opportunistic activity and context recognition systems. We outline the project´s objective, the approach we follow along opportunistic sensing, data processing and interpretation, and autonomous adaptation and evolution to environmental and user changes, and we outline preliminary results.
Keywords :
content-based retrieval; image recognition; ubiquitous computing; European research project; OPPORTUNITY; activity recognition; autonomous adaptation; context recognition systems; data interpretation; data processing; human context; mobile opportunistic activity; opportunistic sensing; pervasive computing; physical world; wearable computing; Ambient intelligence; Humans; Intelligent sensors; Laboratories; Pervasive computing; Sensor systems; Signal design; Signal mapping; Wearable computers; Wearable sensors;
Conference_Titel :
World of Wireless, Mobile and Multimedia Networks & Workshops, 2009. WoWMoM 2009. IEEE International Symposium on a
Conference_Location :
Kos
Print_ISBN :
978-1-4244-4440-3
Electronic_ISBN :
978-1-4244-4439-7
DOI :
10.1109/WOWMOM.2009.5282442
