DETECTIF: Unified detection and correction of IoT faults in smart homes

This paper tackles the problem of detecting a comprehensive set of sensor faults that can occur in IoT-instrumented smart homes customized to infer Activities of Daily Living (ADL) from the activation of sensor sets. Specifically, sensors can suffer faults that (a) span durations that vary between s...

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Bibliographic Details
Main Authors: MALIICK, Madhumita, MISRA, Archan, GANGULY, Niloy, LEE, Youngki
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2020
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Online Access:https://ink.library.smu.edu.sg/sis_research/5956
https://ink.library.smu.edu.sg/context/sis_research/article/6959/viewcontent/Dectectif_2020_pv.pdf
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Institution: Singapore Management University
Language: English