Implementation and performance analysis of smartphone-based 3D PDR system with hybrid motion and heading classifier

Beomju Shin,Jaehun Kim,Seok Lee,Changdon Kee,Sujeong Heo,Chulki Kim,Heonsoo Rhee,Taikjin Lee

doi:10.1109/plans.2014.6851376

Implementation and performance analysis of smartphone-based 3D PDR system with hybrid motion and heading classifier

Beomju Shin, Jaehun Kim + Show 6 more

https://doi.org/10.1109/plans.2014.6851376

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Publication Date: May 1, 2014

Citations: 13

Affiliation: Korea Institute of Science and Technology, Seoul National University, Seoul National University of Science and Technology, Korean Association Of Science and Technology Studies, Green Cross (South Korea)

#Pedestrian Dead Reckoning System #Pedestrian Dead Reckoning + Show 8 more

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Abstract

In this paper, we present a motion recognition based pedestrian dead reckoning (PDR) system. The difference of smartphone-based PDR system and inertial measurement unit (IMU)-based PDR is that axes of smartphone sensor are changed dependently by pedestrian motions, but IMU-based PDR does not that. To solve this issue, we firstly detect a performed motion and operate a proper PDR algorithm according to the detected motion. We apply this system to many persons to identify its applicability. Especially, a heading classifier having 45 degree resolution is applied. We performed a real field test and analyzed a performance of this system.

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