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

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	Proceedings of the 3rd IEEE WoWMoM Workshop on Autonomic and Opportunistic Communications (AOC)
Editors	IEEE CS Press
Number of pages	6
Publication status	Published - Jun 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., 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 (Ed.), 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.",

author = "Daniel Roggen and Kilian F{\"o}rster and Alberto Calatroni and Thomas Holleczek and Yu Fang and Gerhard Tr{\"o}ster and Paul Lukowicz and Gerald Pirkl and David Bannach and Kai Kunze and Alois Ferscha and Clemens Holzmann and Andreas Riener and Ricardo Chavarriaga and \{del R. Mill{\'a}n\}, Jos{\'e}",

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language = "English",

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

TY - GEN

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

Y1 - 2009/6

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)

A2 - IEEE CS Press, null

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