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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書目詳細資料
Main Authors:	LI, Qian, LAU, Hoong Chuin
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2015
主題:	Layered Hidden Markov Model (LHMM) trajectory sensing trajectory modelling mobility recognition Artificial Intelligence and Robotics Computer Sciences Numerical Analysis and Scientific Computing
在線閱讀:	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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