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Stride detection for pedestrian trajectory reconstruction: a machine learning approach based on geometric patterns
Abstract : —In this paper, 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.
Cited literature [21 references]
https://hal.inria.fr/hal-01664659
Contributor : Frédéric Chazal <>
Submitted on : Tuesday, December 19, 2017 - 6:54:17 PM
Last modification on : Monday, March 25, 2019 - 4:52:06 PM
Contributor : Frédéric Chazal <>
Submitted on : Tuesday, December 19, 2017 - 6:54:17 PM
Last modification on : Monday, March 25, 2019 - 4:52:06 PM
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