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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | personal positioning / pedometry / dead-reckoning / sensor fusion / wearable AR |
Paper # | PRMU2003-260 |
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Committee | PRMU |
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Conference Date | 2004/3/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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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 |