Work

Step Length Is a More Reliable Measurement Than Walking Speed for Pedestrian Dead-Reckoning*

Year: 2023

Type: conference-paper

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.

Source: International Conference on Indoor Positioning and Indoor Navigation

DOI: 10.1109/ipin57070.2023.10332483

Authors: Fatemeh Elyasi, Roberto Manduchi

Institution: University of California, Santa Cruz

Language: English

Topic: Indoor and Outdoor Localization Technologies

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: National Institutes of Health, National Eye Institute, HORIZON EUROPE Health

Award: Inertial-based indoor backtracking and wayfinding aid for blind travelers