Dead reckoning for on-foot navigation applications cannot be computed by double integration of the antero-posterior acceleration. The main reasons are the alignment problem and the important sensor systematic errors in comparison to human walking speed. However, raw accelerometer signal can furnish helpful information on steps length as a function of the walk dynamics. As stride length naturally varies, a continuous absence of adaptation is necessary. In the satellite observable, a recursive prediction process is used. When GPS signal is available, adaptive Kalman filtering is processed to update both the stride length and the recursive prediction parameters. This paper shows the different necessary stages for individual stride calibration as basis of global on-foot dead reckoning applications. This study lies within the framework of a project that aims at analyzing the daily activity of people. Precise continuous positioning, but not necessarily in real- time conditions, appears of evident interest. The global procedure and several test results are presented.
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