NDLI: Hidden Markov Model based mobility learning fo improving indoor tracking of mobile users

Content Provider	IEEE Xplore Digital Library
Author	Laursen, T. Pedersen, N.B. Nielsen, J.J. Madsen, T.K.
Copyright Year	2012
Description	Author affiliation: Section for Networking and Security, Department of Electronic Systems, Aalborg University, Denmark (Laursen, T.; Pedersen, N.B.; Nielsen, J.J.; Madsen, T.K.)
Abstract	Indoors, a user's movements are typically confined by walls, corridors, and doorways, and further he is typically repeating the same movements such as walking between certain points in the building. Conventional indoor localization systems do usually not take these properties of the user's movements into account. In this paper we propose a Hidden Markov Model (HMM) based tracking algorithm, which takes a user's previous movements into account. In a quantized grid representation of an indoor scenario, past movement information is used to update the HMM transition probabilities. The user's most likely trajectory is then calculated using and extended version of the Viterbi algorithm. The results show significant improvements of the proposed algorithm compared to a simpler moving average smoothing.
Starting Page	100
Ending Page	104
File Size	373028
Page Count	5
File Format	PDF
ISBN	9781467314374
e-ISBN	9781467314398
DOI	10.1109/WPNC.2012.6268746
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-15
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Viterbi algorithm Tracking Hidden Markov models Markov processes Mobile communication Radar tracking Trajectory
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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