Hidden Markov Model-based Pedestrian Navigation System using MEMS Inertial Sensors

Hidden Markov Model-based Pedestrian Navigation System using MEMS Inertial Sensors

In this paper, a foot-mounted pedestrian navigation system using MEMS inertial sensors is implemented, where the zero-velocity detection is abstracted into a hidden Markov model with 4 states and 15 observations. Moreover, an observations extraction algorithm has been developed to extract observatio...

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Bibliographic Details
Main Authors: Zhang Yingjun, Liu Wen, Yang Xuefeng, Xing Shengwei
Format: Article
Language:English
Published: Sciendo 2015-02-01
Series:Measurement Science Review
Subjects:
pedestrian navigation system
hidden markov model
zero velocity detection
inertial sensors
Online Access:https://doi.org/10.1515/msr-2015-0006

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