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

fYear

2009

Firstpage

1

Lastpage

6

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/WOWMOM.2009.5282442

Filename

5282442