Indoor location error-detection via crowdsourced multi-dimensional mobile data
We explore the use of multi-dimensional mobile sensing data as a means of identifying errors in one or more of those data streams. More specifically, we look at the possibility of identifying indoor locations with likely incorrect/stale Wi-Fi fingerprints, by using concurrent readings from Wi-Fi and...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2016
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/3638 https://ink.library.smu.edu.sg/context/sis_research/article/4640/viewcontent/MobiData2016.pdf |
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| Institution: | Singapore Management University |
| Language: | English |