A Layered Hidden Markov Model for predicting human trajectories in a multi-floor building

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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Bibliographic Details
Main Authors: LI, Qian, LAU, Hoong Chuin
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2015
Subjects:
Layered Hidden Markov Model (LHMM)
trajectory sensing
trajectory modelling
mobility recognition
Artificial Intelligence and Robotics
Computer Sciences
Numerical Analysis and Scientific Computing
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

Internet

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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