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ISMAR
2003
IEEE

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

9 years 5 months ago
Personal Positioning based on Walking Locomotion Analysis with Self-Contained Sensors and a Wearable Camera
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 selfcontained 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. keywords : personal positioning, pedometer, human walking analysis, sensor fusion
Masakatsu Kourogi, Takeshi Kurata
Added 04 Jul 2010
Updated 04 Jul 2010
Type Conference
Year 2003
Where ISMAR
Authors Masakatsu Kourogi, Takeshi Kurata
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