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

Author

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

Author_Institution

Korea Inst. of Sci. & Technol., Seoul Nat. Univ., Seoul, South Korea

fYear

2014

fDate

5-8 May 2014

Firstpage

201

Lastpage

204

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.

Keywords

image classification; image motion analysis; mobile computing; object detection; pedestrians; radionavigation; smart phones; traffic engineering computing; IMU; heading classifier; hybrid motion classifier; inertial measurement unit; motion detection; motion recognition based pedestrian dead reckoning system; pedestrian motions; performance analysis; smartphone sensor; smartphone-based 3D PDR system; Databases; Estimation; Feature extraction; Floors; Magnetic fields; Three-dimensional displays; indoor navigation; motion recognition; pedestrian dead reckoning; smartphone;

fLanguage

English

Publisher

ieee

Conference_Titel

Position, Location and Navigation Symposium - PLANS 2014, 2014 IEEE/ION

Conference_Location

Monterey, CA

Print_ISBN

978-1-4799-3319-8

Type

conf

DOI

10.1109/PLANS.2014.6851376

Filename

6851376