A Self-Organizing Approach to Activity Recognition with Wireless Sensors

Clemens Holzmann; Michael Haslgrübler

doi:10.1007/978-3-642-10865-5_20

A Self-Organizing Approach to Activity Recognition with Wireless Sensors

Clemens Holzmann
, Michael Haslgrübler

Research Center Hagenberg

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

2 Citations (Scopus)

Abstract

In this paper, we describe an approach to activity recognition, which is based on a self-organizing, ad hoc network of body-worn sensors. It makes best use of the available sensors, and autonomously adapts to dynamically varying sensor setups in terms of changing sensor availabilities, characteristics and on-body locations. For a widespread use of activity recognition systems, such an opportunistic approach is better suited than a fixed and application-specific deployment of sensor systems, as it unburdens the user from placing specific sensors at pre-defined locations on his body. The main contribution of this paper is the presentation of an interaction model for the self-organization of sensor nodes, which enables a cooperative recognition of activities according to the demands of a user's mobile device. We implemented it with an embedded system platform, and conducted an evaluation showing the feasibility and performance of our approach.

Original language	English
Title of host publication	Self-Organizing Systems - 4th IFIP TC 6 International Workshop, IWSOS 2009, Proceedings
Publisher	Springer
Pages	213-219
Number of pages	7
ISBN (Print)	3642108644, 9783642108648
DOIs	https://doi.org/10.1007/978-3-642-10865-5_20
Publication status	Published - 2009
Event	4th International Workshop on Self-Organizing Systems (IWSOS 2009) - ETH Zurich, Switzerland Duration: 9 Dec 2009 → 11 Dec 2009 http://www.iwsos2009.ethz.ch

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5918 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th International Workshop on Self-Organizing Systems (IWSOS 2009)
Country/Territory	Switzerland
City	ETH Zurich
Period	09.12.2009 → 11.12.2009
Internet address	http://www.iwsos2009.ethz.ch

Access to Document

10.1007/978-3-642-10865-5_20

Cite this

Holzmann, C., & Haslgrübler, M. (2009). A Self-Organizing Approach to Activity Recognition with Wireless Sensors. In Self-Organizing Systems - 4th IFIP TC 6 International Workshop, IWSOS 2009, Proceedings (pp. 213-219). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5918 LNCS). Springer. https://doi.org/10.1007/978-3-642-10865-5_20

Holzmann, Clemens ; Haslgrübler, Michael. / A Self-Organizing Approach to Activity Recognition with Wireless Sensors. Self-Organizing Systems - 4th IFIP TC 6 International Workshop, IWSOS 2009, Proceedings. Springer, 2009. pp. 213-219 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "A Self-Organizing Approach to Activity Recognition with Wireless Sensors",

abstract = "In this paper, we describe an approach to activity recognition, which is based on a self-organizing, ad hoc network of body-worn sensors. It makes best use of the available sensors, and autonomously adapts to dynamically varying sensor setups in terms of changing sensor availabilities, characteristics and on-body locations. For a widespread use of activity recognition systems, such an opportunistic approach is better suited than a fixed and application-specific deployment of sensor systems, as it unburdens the user from placing specific sensors at pre-defined locations on his body. The main contribution of this paper is the presentation of an interaction model for the self-organization of sensor nodes, which enables a cooperative recognition of activities according to the demands of a user's mobile device. We implemented it with an embedded system platform, and conducted an evaluation showing the feasibility and performance of our approach.",

author = "Clemens Holzmann and Michael Haslgr{\"u}bler",

note = "Funding Information: This work is supported by the FP7 ICT Future Enabling Technologies programme of the European Commission under grant agreement No 225938 (OPPORTUNITY).; 4th International Workshop on Self-Organizing Systems (IWSOS 2009) ; Conference date: 09-12-2009 Through 11-12-2009",

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doi = "10.1007/978-3-642-10865-5\_20",

language = "English",

isbn = "3642108644",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer",

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Holzmann, C & Haslgrübler, M 2009, A Self-Organizing Approach to Activity Recognition with Wireless Sensors. in Self-Organizing Systems - 4th IFIP TC 6 International Workshop, IWSOS 2009, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5918 LNCS, Springer, pp. 213-219, 4th International Workshop on Self-Organizing Systems (IWSOS 2009), ETH Zurich, Switzerland, 09.12.2009. https://doi.org/10.1007/978-3-642-10865-5_20

A Self-Organizing Approach to Activity Recognition with Wireless Sensors. / Holzmann, Clemens; Haslgrübler, Michael.
Self-Organizing Systems - 4th IFIP TC 6 International Workshop, IWSOS 2009, Proceedings. Springer, 2009. p. 213-219 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5918 LNCS).

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

TY - GEN

T1 - A Self-Organizing Approach to Activity Recognition with Wireless Sensors

AU - Holzmann, Clemens

AU - Haslgrübler, Michael

N1 - Funding Information: This work is supported by the FP7 ICT Future Enabling Technologies programme of the European Commission under grant agreement No 225938 (OPPORTUNITY).

PY - 2009

Y1 - 2009

N2 - In this paper, we describe an approach to activity recognition, which is based on a self-organizing, ad hoc network of body-worn sensors. It makes best use of the available sensors, and autonomously adapts to dynamically varying sensor setups in terms of changing sensor availabilities, characteristics and on-body locations. For a widespread use of activity recognition systems, such an opportunistic approach is better suited than a fixed and application-specific deployment of sensor systems, as it unburdens the user from placing specific sensors at pre-defined locations on his body. The main contribution of this paper is the presentation of an interaction model for the self-organization of sensor nodes, which enables a cooperative recognition of activities according to the demands of a user's mobile device. We implemented it with an embedded system platform, and conducted an evaluation showing the feasibility and performance of our approach.

AB - In this paper, we describe an approach to activity recognition, which is based on a self-organizing, ad hoc network of body-worn sensors. It makes best use of the available sensors, and autonomously adapts to dynamically varying sensor setups in terms of changing sensor availabilities, characteristics and on-body locations. For a widespread use of activity recognition systems, such an opportunistic approach is better suited than a fixed and application-specific deployment of sensor systems, as it unburdens the user from placing specific sensors at pre-defined locations on his body. The main contribution of this paper is the presentation of an interaction model for the self-organization of sensor nodes, which enables a cooperative recognition of activities according to the demands of a user's mobile device. We implemented it with an embedded system platform, and conducted an evaluation showing the feasibility and performance of our approach.

UR - https://www.scopus.com/pages/publications/72449157861

U2 - 10.1007/978-3-642-10865-5_20

DO - 10.1007/978-3-642-10865-5_20

M3 - Conference contribution

SN - 3642108644

SN - 9783642108648

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 213

EP - 219

BT - Self-Organizing Systems - 4th IFIP TC 6 International Workshop, IWSOS 2009, Proceedings

PB - Springer

T2 - 4th International Workshop on Self-Organizing Systems (IWSOS 2009)

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ER -

Holzmann C, Haslgrübler M. A Self-Organizing Approach to Activity Recognition with Wireless Sensors. In Self-Organizing Systems - 4th IFIP TC 6 International Workshop, IWSOS 2009, Proceedings. Springer. 2009. p. 213-219. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-10865-5_20

A Self-Organizing Approach to Activity Recognition with Wireless Sensors

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