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Being SMART about failures: Assessing repairs in smart homes

Title
Being SMART about failures: Assessing repairs in smart homes
Authors
Kapitanova, K.Hoque, E.Stankovic, J.A.Whitehouse, K.Son, S.H.
DGIST Authors
Son, S.H.
Issue Date
2012
Citation
14th International Conference on Ubiquitous Computing, UbiComp 2012, 51-60
Type
Conference
Article Type
Conference Paper
ISBN
9780000000000
Abstract
Inexpensive wireless sensing products are dramatically reducing the cost of in-home sensing. However, these sensors have been found to fail often and prohibitive maintenance costs may negate the cost benefits of inexpensive hardware and do-it-yourself installation. In this paper, we describe a new technique called SMART that uses applicationlevel semantics to detect, assess, and adapt to sensor failures. SMART detects sensor failures at run-time by analyzing the relative behavior of multiple classifier instances trained to recognize the same set of activities based on different subsets of sensors. Once a failure is detected, SMART assesses its importance and adapts the classifier ensemble in attempt to avoid maintenance dispatch. Evaluation on three homes from two public datasets shows that SMART decreases the number of maintenance dispatches by 55% on average, identifies non-fail-stop failures at run-time with more than 85% accuracy, and improves the activity recognition accuracy under sensor failures by 15% on average. Copyright 2012 ACM.
URI
http://hdl.handle.net/20.500.11750/3872
DOI
10.1145/2370216.2370225
Publisher
Association for Computing Machinery
Related Researcher
  • Author Son, Sang Hyuk RTCPS(Real-Time Cyber-Physical Systems Research) Lab
  • Research Interests
Files:
There are no files associated with this item.
Collection:
ETC2. Conference Papers


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