Implementation and Performance Analysis of Smartphone-based 3D PDR System with Hybrid Motion and Heading Classifier
- Authors
- Shin, Beomju; Lee, Seok; Kim, Chulki; Rhee, Heonsoo; Lee, Taikjin; Kee, Changdon; Heo, Sujeong; Kim, Jaehun
- Issue Date
- 2014-05
- Publisher
- IEEE
- Citation
- IEEE/ION Position, Location and Navigation Symposium (PLANS), pp.201 - 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.
- ISSN
- 2153-358X
- URI
- https://pubs.kist.re.kr/handle/201004/115362
- Appears in Collections:
- KIST Conference Paper > 2014
- Files in This Item:
There are no files associated with this item.
- Export
- RIS (EndNote)
- XLS (Excel)
- XML
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.