A Layered Hidden Markov Model for predicting human trajectories in a multi-floor building
Tracking and modeling huge amount of users’ movement in a multi-floor building by using wireless devices is a challenging task, due to crowd movement complexity and signal sensing accuracy. In this paper, we use Layered Hidden Markov Model (LHMM) to fit the spatial-temporal trajectories (with large...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2015
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/2911 https://ink.library.smu.edu.sg/context/sis_research/article/3911/viewcontent/Layer_Hidden_Markov_2015_pv.pdf |
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| Institution: | Singapore Management University |
| Language: | English |