JOURNAL ARTICLE

Indoor pedestrian displacement estimation using Smart phone inertial sensors

Shahid AyubXiaowei ZhouSoroush HonaryAlireza BahraminasabBahram Honary

Year: 2012 Journal:   International Journal of Innovative Computing and Applications Vol: 4 (1)Pages: 35-35   Publisher: Inderscience Publishers

Abstract

The embedded inertial sensors in today's Smart phones have added the facility to use them for localisation and tracking applications. The benefit of using them for localisation purpose is that no extra infrastructure is to be installed in contrast to other existing positioning technologies. Inertial navigation only provides the information relative to initial point, so it is suitable for short distance positioning. However, integration of inertial navigation with other positioning technologies can be used for precise localisation. In this paper we introduce a mechanism for indoor pedestrian positioning using a combination of accelerometer and compass. Three different Smart phone placement modes (idle, hand held and listening) are investigated and a comparison of different pedestrian dead reckoning (PDR) techniques is presented.

Keywords:
Computer science Dead reckoning Inertial measurement unit Accelerometer Inertial navigation system Compass Real-time computing Phone Inertial frame of reference Pedestrian Step detection Mobile phone Displacement (psychology) Global Positioning System Computer vision Telecommunications Engineering

Metrics

16
Cited By
1.97
FWCI (Field Weighted Citation Impact)
13
Refs
0.89
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Indoor and Outdoor Localization Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Speech and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing
Video Surveillance and Tracking Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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