Enabling Dynamic Sensor Configuration and Cooperation in Opportunistic Activity Recognition Systems

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, location...

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Main Authors: Marc Kurz, Gerold Hölzl, Alois Ferscha
Format: Article
Language:English
Published: Wiley 2013-06-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2013/652385
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author Marc Kurz
Gerold Hölzl
Alois Ferscha
author_facet Marc Kurz
Gerold Hölzl
Alois Ferscha
author_sort Marc Kurz
collection DOAJ
description 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.
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issn 1550-1477
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publishDate 2013-06-01
publisher Wiley
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series International Journal of Distributed Sensor Networks
spelling doaj-art-920fef7184754e69bb7360f4259a2a722025-02-03T05:44:20ZengWileyInternational Journal of Distributed Sensor Networks1550-14772013-06-01910.1155/2013/652385Enabling Dynamic Sensor Configuration and Cooperation in Opportunistic Activity Recognition SystemsMarc KurzGerold HölzlAlois FerschaOpportunistic 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.https://doi.org/10.1155/2013/652385
spellingShingle Marc Kurz
Gerold Hölzl
Alois Ferscha
Enabling Dynamic Sensor Configuration and Cooperation in Opportunistic Activity Recognition Systems
International Journal of Distributed Sensor Networks
title Enabling Dynamic Sensor Configuration and Cooperation in Opportunistic Activity Recognition Systems
title_full Enabling Dynamic Sensor Configuration and Cooperation in Opportunistic Activity Recognition Systems
title_fullStr Enabling Dynamic Sensor Configuration and Cooperation in Opportunistic Activity Recognition Systems
title_full_unstemmed Enabling Dynamic Sensor Configuration and Cooperation in Opportunistic Activity Recognition Systems
title_short Enabling Dynamic Sensor Configuration and Cooperation in Opportunistic Activity Recognition Systems
title_sort enabling dynamic sensor configuration and cooperation in opportunistic activity recognition systems
url https://doi.org/10.1155/2013/652385
work_keys_str_mv AT marckurz enablingdynamicsensorconfigurationandcooperationinopportunisticactivityrecognitionsystems
AT geroldholzl enablingdynamicsensorconfigurationandcooperationinopportunisticactivityrecognitionsystems
AT aloisferscha enablingdynamicsensorconfigurationandcooperationinopportunisticactivityrecognitionsystems