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- W2138636377 abstract "In this paper, we propose a method of personal positioning that combines images taken from a wearable camera with data from self-contained sensors attached to the user through a Kalman filter as a data integration mechanism. The proposed method estimates the user's position and direction by image registration between the input images from the camera and a set of images captured at known positions and directions beforehand as a database. It updates the estimation of the user's position and direction with pedestrian dead-reckoning by detecting walking behavior of the user and by estimating the heading direction of the body with the self-contained sensors." @default.
- W2138636377 created "2016-06-24" @default.
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- W2138636377 date "2003-11-04" @default.
- W2138636377 modified "2023-10-17" @default.
- W2138636377 title "A method of personal positioning based on sensor data fusion of wearable camera and self-contained sensors" @default.
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- W2138636377 doi "https://doi.org/10.1109/mfi-2003.2003.1232672" @default.
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