Presentation 2004/3/11
Personal Positioning Based on Walking Locomotion Analysis with Self-Contained Sensors and a Wearable Camera
Masakatsu Kourogi, Takeshi Kurata,
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Abstract(in English) 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.
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Keyword(in English) personal positioning / pedometry / dead-reckoning / sensor fusion / wearable AR
Paper # PRMU2003-260
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Conference Information
Committee PRMU
Conference Date 2004/3/11(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Personal Positioning Based on Walking Locomotion Analysis with Self-Contained Sensors and a Wearable Camera
Sub Title (in English)
Keyword(1) personal positioning
Keyword(2) pedometry
Keyword(3) dead-reckoning
Keyword(4) sensor fusion
Keyword(5) wearable AR
1st Author's Name Masakatsu Kourogi
1st Author's Affiliation Intelligent Systems Institute, National Institute of Advanced Industrial Science and Technology (AIST)()
2nd Author's Name Takeshi Kurata
2nd Author's Affiliation University of Washington
Date 2004/3/11
Paper # PRMU2003-260
Volume (vol) vol.103
Number (no) 737
Page pp.pp.-
#Pages 6
Date of Issue