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- W4234782453 abstract "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." @default.
- W4234782453 created "2022-05-12" @default.
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- W4234782453 date "2004-03-01" @default.
- W4234782453 modified "2023-10-17" @default.
- W4234782453 title "Personal positioning based on walking locomotion analysis with self-contained sensors and a wearable camera" @default.
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- W4234782453 doi "https://doi.org/10.1109/ismar.2003.1240693" @default.
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