A Self-Organizing Approach to Activity Recognition with Wireless Sensors

Clemens Holzmann, Michael Haslgrübler

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

2 Citations (Scopus)


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 languageEnglish
Title of host publicationSelf-Organizing Systems - 4th IFIP TC 6 International Workshop, IWSOS 2009, Proceedings
Number of pages7
ISBN (Print)3642108644, 9783642108648
Publication statusPublished - 2009
Event4th International Workshop on Self-Organizing Systems (IWSOS 2009) - ETH Zurich, Switzerland
Duration: 9 Dec 200911 Dec 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5918 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference4th International Workshop on Self-Organizing Systems (IWSOS 2009)
CityETH Zurich
Internet address


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