Probabilistic Context-Aware Step Length Estimation for Pedestrian Dead Reckoning

• Published in: IEEE sensors journal Vol. 18; no. 4; pp. 1600 - 1611
• Main Authors: Martinelli, Alessio, Gao, Han, Groves, Paul D., Morosi, Simone
• Format: Journal Article
• Language: English
• Published: IEEE 15.02.2018
• Subjects: context detection; Dead reckoning; Estimation; Force; Legged locomotion; Magnetic sensors; pedestrian dead reckoning navigation; step detection; Step length estimation

This paper introduces a weighted context-based step length estimation algorithm for pedestrian dead reckoning. Six pedestrian contexts are considered: stationary, walking, walking sideways, climbing and descending stairs, and running. Instead of computing the step length based on a single context, t...