Improving Indoor Pedestrian Dead Reckoning for Smartphones under Magnetic Interference Using Deep Learning

Improving Indoor Pedestrian Dead Reckoning for Smartphones under Magnetic Interference Using Deep Learning

As micro-electro-mechanical systems (MEMS) technology continues its rapid ascent, a growing array of smart devices are integrating lightweight, compact, and cost-efficient magnetometers and inertial sensors, paving the way for advanced human motion analysis. However, sensors housed within smartphone...

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Bibliographic Details
Main Authors: Ping Zhu, Xuexiang Yu, Yuchen Han, Xingxing Xiao, Yu Liu
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Sensors
Subjects:
magnetic interference
pedestrian dead reckoning
indoor positioning
convolutional neural network
support vector machine
unscented Kalman filter
Online Access:https://www.mdpi.com/1424-8220/23/23/9348

Internet

https://www.mdpi.com/1424-8220/23/23/9348

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