Step Length Is a More Reliable Measurement Than Walking Speed for Pedestrian Dead-Reckoning.
2023 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN)(2023)
Abstract
Pedestrian dead reckoning (PDR) relies on the estimation of the length of each step taken by the walker in a path from inertial data (e.g. as recorded by a smartphone). Existing algorithms either estimate step lengths directly, or predict walking speed, which can then be integrated over a step period to obtain step length. We present an analysis, using a common architecture formed by an LSTM followed by four fully connected layers, of the quality of reconstruction when predicting step length vs. walking speed. Our experiments, conducted on a data set collected by twelve participants, strongly suggest that step length can be predicted more reliably than average walking speed over each step.
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Key words
Pedestrian dead reckoning (PDR),Smartphone inertial data,Step length estimation,Walking speed prediction
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