Real-time prediction of length of stay using passive Wi-Fi sensing
The proliferation of wireless technologies in today's everyday life is one of the key drivers of the Internet of Things (IoT). In addition to being an enabler of connectivity, the vast penetration of wireless devices today gives rise to a secondary functionality as a means of tracking and local...
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| Main Authors: | , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2017
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/3966 https://ink.library.smu.edu.sg/context/sis_research/article/4968/viewcontent/Real_timePredictionLoS_WiFi_2017.pdf |
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| Institution: | Singapore Management University |
| Language: | English |