OPPORTUNITY: activity and context awareness in opportunistic open-ended sensor environments

Daniel Roggen; Kilian Förster; Alberto Calatroni; Andreas Bulling; Thomas Holleczek; Gerhard Tröster; Paul Lukowicz; Gerald Pirkl; David Bannach; Alois Ferscha; Andreas Riener; Clemens Holzmann; Ricardo Chavarriaga; José del R. Millán

OPPORTUNITY: activity and context awareness in opportunistic open-ended sensor environments

Daniel Roggen, Kilian Förster, Alberto Calatroni, Andreas Bulling, Thomas Holleczek, Gerhard Tröster, Paul Lukowicz, Gerald Pirkl, David Bannach, Alois Ferscha, Andreas Riener, Clemens Holzmann, Ricardo Chavarriaga, José del R. Millán

Institute of Pervasive Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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 projects 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.

Original language	English
Title of host publication	Poster at the 1st European Future Emerging Technologies Conference (FET 2009)
Number of pages	2
Publication status	Published - Apr 2009

Fields of science

102 Computer Sciences
102009 Computer simulation
102013 Human-computer interaction
102019 Machine learning
102020 Medical informatics
102021 Pervasive computing
102022 Software development
102025 Distributed systems
202017 Embedded systems
211902 Assistive technologies
211912 Product design

Cite this

Roggen, D., Förster, K., Calatroni, A., Bulling, A., Holleczek, T., Tröster, G., Lukowicz, P., Pirkl, G., Bannach, D., Ferscha, A., Riener, A., Holzmann, C., Chavarriaga, R., & del R. Millán, J. (2009). OPPORTUNITY: activity and context awareness in opportunistic open-ended sensor environments. In Poster at the 1st European Future Emerging Technologies Conference (FET 2009)

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T1 - OPPORTUNITY: activity and context awareness in opportunistic open-ended sensor environments

AU - Roggen, Daniel

AU - Förster, Kilian

AU - Calatroni, Alberto

AU - Bulling, Andreas

AU - Holleczek, Thomas

AU - Tröster, Gerhard

AU - Lukowicz, Paul

AU - Pirkl, Gerald

AU - Bannach, David

AU - Ferscha, Alois

AU - Riener, Andreas

AU - Holzmann, Clemens

AU - Chavarriaga, Ricardo

AU - del R. Millán, José

PY - 2009/4

Y1 - 2009/4

N2 - 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 projects 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.

AB - 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 projects 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.

M3 - Conference proceedings

BT - Poster at the 1st European Future Emerging Technologies Conference (FET 2009)

ER -