OPPORTUNITY: Towards opportunistic activity and context recognition systems

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

OPPORTUNITY: Towards opportunistic activity and context recognition systems

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

Institut für Pervasive Computing

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

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.

Originalsprache	Englisch
Titel	Proceedings of the 3rd IEEE WoWMoM Workshop on Autonomic and Opportunistic Communications (AOC)
Herausgeber*innen	IEEE CS Press
Seitenumfang	6
Publikationsstatus	Veröffentlicht - Juni 2009

Wissenschaftszweige

102 Informatik
102009 Computersimulation
102013 Human-Computer Interaction
102019 Machine Learning
102020 Medizinische Informatik
102021 Pervasive Computing
102022 Softwareentwicklung
102025 Verteilte Systeme
202017 Embedded Systems
211902 Assistierende Technologien
211912 Produktgestaltung

Dieses zitieren

Roggen, D., Förster, K., Calatroni, A., Holleczek, T., Fang, Y., Tröster, G., Lukowicz, P., Pirkl, G., Bannach, D., Kunze, K., Ferscha, A., Holzmann, C., Riener, A., Chavarriaga, R., & del R. Millán, J. (2009). OPPORTUNITY: Towards opportunistic activity and context recognition systems. in IEEE CS Press (Hrsg.), Proceedings of the 3rd IEEE WoWMoM Workshop on Autonomic and Opportunistic Communications (AOC)

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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.",

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booktitle = "Proceedings of the 3rd IEEE WoWMoM Workshop on Autonomic and Opportunistic Communications (AOC)",

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Roggen, D, Förster, K, Calatroni, A, Holleczek, T, Fang, Y, Tröster, G, Lukowicz, P, Pirkl, G, Bannach, D, Kunze, K, Ferscha, A, Holzmann, C, Riener, A, Chavarriaga, R & del R. Millán, J 2009, OPPORTUNITY: Towards opportunistic activity and context recognition systems. in IEEE CS Press (Hrsg.), Proceedings of the 3rd IEEE WoWMoM Workshop on Autonomic and Opportunistic Communications (AOC).

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T1 - OPPORTUNITY: Towards opportunistic activity and context recognition systems

AU - Roggen, Daniel

AU - Förster, Kilian

AU - Calatroni, Alberto

AU - Holleczek, Thomas

AU - Fang, Yu

AU - Tröster, Gerhard

AU - Lukowicz, Paul

AU - Pirkl, Gerald

AU - Bannach, David

AU - Kunze, Kai

AU - Ferscha, Alois

AU - Holzmann, Clemens

AU - Riener, Andreas

AU - Chavarriaga, Ricardo

AU - del R. Millán, José

PY - 2009/6

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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 - Proceedings of the 3rd IEEE WoWMoM Workshop on Autonomic and Opportunistic Communications (AOC)

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