Section: New Results

Experimental research and software development

Stride detection for pedestrian trajectory reconstruction: a machine learning approach based on geometric patterns

Participants : Frédéric Chazal, Bertrand Michel, Bertrand Beaufils.

In collaboration with M. Grelet (Sysnav)

A strides detection algorithm is proposed using inertial sensors worn on the ankle. This innovative approach based on geometric patterns can detect both normal walking strides and atypical strides such as small steps, side steps and backward walking that existing methods struggle to detect. It is also robust in critical situations, when for example the wearer is sitting and moving the ankle, while most algorithms in the literature would wrongly detect strides.