Personal Positioning based on Walking Locomotion Analysis with Self-Contained Sensors and a Wearable Camera

I
ISMAR
2003
The Second IEEE and ACM International Symposium on Mixed and Augmented Reality
Abstract - Personal Positioning based on Walking Locomotion Analysis with Self-Contained Sensors and a Wearable Camera

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The Second IEEE and ACM International Symposium on Mixed and Augmented Reality

Tokyo, Japan

October 07-October 10

ISBN: 0-7695-2006-5

	ASCII Text	x
	Masakatsu Kourogi, Takeshi Kurata, "Personal Positioning based on Walking Locomotion Analysis with Self-Contained Sensors and a Wearable Camera," Mixed and Augmented Reality, IEEE / ACM International Symposium on, pp. 103, The Second IEEE and ACM International Symposium on Mixed and Augmented Reality, 2003.

	BibTex	x
	@article{ 10.1109/ISMAR.2003.1240693, author = {Masakatsu Kourogi and Takeshi Kurata}, title = {Personal Positioning based on Walking Locomotion Analysis with Self-Contained Sensors and a Wearable Camera}, journal ={Mixed and Augmented Reality, IEEE / ACM International Symposium on}, volume = {0}, year = {2003}, isbn = {0-7695-2006-5}, pages = {103}, doi = {http://doi.ieeecomputersociety.org/10.1109/ISMAR.2003.1240693}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Mixed and Augmented Reality, IEEE / ACM International Symposium on TI - Personal Positioning based on Walking Locomotion Analysis with Self-Contained Sensors and a Wearable Camera SN - 0-7695-2006-5 SP EP A1 - Masakatsu Kourogi, A1 - Takeshi Kurata, PY - 2003 KW - personal positioning KW - pedometer KW - human walking analysis KW - sensor fusion VL - 0 JA - Mixed and Augmented Reality, IEEE / ACM International Symposium on ER -

Masakatsu Kourogi, National Institute of Advanced Industrial Science and Technology (AIST), Japan

Takeshi Kurata, University of Washington

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISMAR.2003.1240693

In this paper, we propose a method of personal positioning for a wearable Augmented Reality (AR) system that allows a user to freely move around indoors and outdoors. The user is equipped with self-contained sensors, a wearable camera, an inertial head tracker and display. The method is based on sensor fusion of estimates for relative displacement caused by human walking locomotion and estimates for absolute position and orientation within a Kalman filtering framework. The former is based on intensive analysis of human walking behavior using self-contained sensors. The latter is based on image matching of video frames from a wearable camera with an image database that was prepared beforehand.

Index Terms:

personal positioning, pedometer, human walking analysis, sensor fusion

Citation:

Masakatsu Kourogi, Takeshi Kurata, "Personal Positioning based on Walking Locomotion Analysis with Self-Contained Sensors and a Wearable Camera," ismar, pp.103, The Second IEEE and ACM International Symposium on Mixed and Augmented Reality, 2003

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