Robust Stride Detector from Ankle-Mounted Inertial Sensors for Pedestrian Navigation and Activity Recognition with Machine Learning Approaches

Robust Stride Detector from Ankle-Mounted Inertial Sensors for Pedestrian Navigation and Activity Recognition with Machine Learning Approaches

In this paper, a stride detector algorithm combined with a technique inspired by zero velocity update (ZUPT) is proposed to reconstruct the trajectory of a pedestrian from an ankle-mounted inertial device. This innovative approach is based on sensor alignment and machine learning. It is able to dete...

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Bibliographic Details
Main Authors: Bertrand Beaufils, Frédéric Chazal, Marc Grelet, Bertrand Michel
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Sensors
Subjects:
machine learning
activity recognition
stride detector
imu
dead reckoning
pedestrian navigation
Online Access:https://www.mdpi.com/1424-8220/19/20/4491

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