Deep Learning Methods for Speed Estimation of Bipedal Motion from Wearable IMU Sensors

The estimation of the speed of human motion from wearable IMU sensors is required in applications such as pedestrian dead reckoning. In this paper, we test deep learning methods for the prediction of the motion speed from raw readings of a low-cost IMU sensor. Each subject was observed using three s...

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Bibliographic Details
Main Authors: Josef Justa, Václav Šmídl, Aleš Hamáček
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/10/3865