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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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2020
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| Subjects: | |
| 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 |