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Enabling Dynamic Sensor Configuration and Cooperation in Opportunistic Activity Recognition Systems
Joint Authors
Ferscha, Alois
Hölzl, Gerold
Kurz, Marc
Source
International Journal of Distributed Sensor Networks
Issue
Vol. 2013, Issue - (31 Dec. 2013), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-20
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Telecommunications Engineering
Information Technology and Computer Science
Abstract EN
Opportunistic activity recognition as research discipline is characterized by the fact that human activities (and more generally the context) shall be recognized with sensors that are initially unknown to the system.
In contrast to “traditional” applications—where sensors, their modalities, locations, and working characteristics have to be defined at design time—opportunistic systems do not rely on an initially defined and fixed sensing infrastructure.
Sensors have to be utilized upon their spontaneous availability and activity recognition capabilities and dynamic sensor ensembles have to be configured at runtime with respect to maximized recognition accuracy and minimized energy consumption.
This requirement contains two research challenges that this paper tackles: (i) estimating the accuracy of an ensemble without being able to compare the output in the form of recognized activity classes to a (labeled) ground truth and (ii) optimizing the accuracy/energy trade-off by applying exact and heuristic methods adapted for cooperative sensor ensembles.
American Psychological Association (APA)
Kurz, Marc& Hölzl, Gerold& Ferscha, Alois. 2013. Enabling Dynamic Sensor Configuration and Cooperation in Opportunistic Activity Recognition Systems. International Journal of Distributed Sensor Networks،Vol. 2013, no. -, pp.1-13.
https://search.emarefa.net/detail/BIM-488419
Modern Language Association (MLA)
Kurz, Marc…[et al.]. Enabling Dynamic Sensor Configuration and Cooperation in Opportunistic Activity Recognition Systems. International Journal of Distributed Sensor Networks Vol. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-488419
American Medical Association (AMA)
Kurz, Marc& Hölzl, Gerold& Ferscha, Alois. Enabling Dynamic Sensor Configuration and Cooperation in Opportunistic Activity Recognition Systems. International Journal of Distributed Sensor Networks. 2013. Vol. 2013, no. -, pp.1-13.
https://search.emarefa.net/detail/BIM-488419
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-488419