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ThinkMind // ADAPTIVE 2011, The Third International Conference on Adaptive and Self-Adaptive Systems and Applications // View article adaptive_2011_4_20_50035


Real-Time Transfer and Evaluation of Activity Recognition Capabilities in an Opportunistic System

Authors:
Marc Kurz
Gerold Hölzl
Alois Ferscha
Alberto Calatroni
Daniel Roggen
Gerhard Tröster

Keywords: Activity and Context Recognition; Opportunistic Sensing; Sensor Networks

Abstract:
This paper describes and evaluates the challenging feature of an opportunistic activity recognition system to train a newly discovered sensor with the available sensing devices to recognize activities at runtime. The term "opportunistic" means that the system does not operate with a fixed set of sensor devices, but uses and configures the currently available sensors that just happen to be available. Therefore, the paper presents a reference implementation of an opportunistic system, referred to as OPPORTUNITY Framework, and demonstrates the transfer of recognition capabilities from a fused multi-sensor ensemble to an untrained sensing device within the system in a real-world setup. Main contribution of the paper is the evaluation of the approach by describing an experimental setup and presenting results in terms of accuracy and recognition rate from the machine-learning perspective as well as from the framework and system perspective by comparing predicted classes from the teaching sensor set and the newly trained sensor to obtain QoS parameters.

Pages: 73 to 78

Copyright: Copyright (c) IARIA, 2011

Publication date: September 25, 2011

Published in: conference

ISSN: 2308-4146

ISBN: 978-1-61208-156-4

Location: Rome, Italy

Dates: from September 25, 2011 to September 30, 2011

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