Localization and positioning systems for emergency responders: A survey

AFGG Ferreira, DMA Fernandes… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
The availability of a reliable and accurate indoor positioning system (IPS) for emergency
responders during on-duty missions is regarded as an essential tool to improve situational …

Fifteen years of progress at zero velocity: A review

J Wahlström, I Skog - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Fifteen years have passed since the publication of Foxlin's seminal paper “Pedestrian
tracking with shoe-mounted inertial sensors”. In addition to popularizing the zero-velocity …

Deep-learning-based pedestrian inertial navigation: Methods, data set, and on-device inference

C Chen, P Zhao, CX Lu, W Wang… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Modern inertial measurements units (IMUs) are small, cheap, energy efficient, and widely
employed in smart devices and mobile robots. Exploiting inertial data for accurate and …

Emerging information technologies for enhanced healthcare

JJ Yang, J Li, J Mulder, Y Wang, S Chen, H Wu… - Computers in …, 2015 - Elsevier
The appropriate collection and consumption of electronic health information about an
individual patient or population is the bedrock of modern healthcare, where electronic …

Foot-mounted inertial navigation made easy

JO Nilsson, AK Gupta, P Händel - … International Conference on …, 2014 - ieeexplore.ieee.org
Despite being around for almost two decades, foot-mounted inertial navigation only has
gotten a limited spread. Contributing factors to this are lack of suitable hardware platforms …

A mobile Kalman-filter based solution for the real-time estimation of spatio-temporal gait parameters

A Ferrari, P Ginis, M Hardegger… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Gait impairments are among the most disabling symptoms in several musculoskeletal and
neurological conditions, severely limiting personal autonomy. Wearable gait sensors have …

PDRNet: A deep-learning pedestrian dead reckoning framework

O Asraf, F Shama, I Klein - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Pedestrian dead reckoning is a well-known approach for indoor navigation. There, the
smartphone's inertial sensors readings are used to determine the user position by utilizing …

UWB/INS integrated pedestrian positioning for robust indoor environments

Y Zhang, X Tan, C Zhao - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Goal: Accurate robust ultra wideband (UWB) pedestrian indoor positioning becomes a
challenging task when faced with robust indoor environments such as non-line of sight …

Oxiod: The dataset for deep inertial odometry

C Chen, P Zhao, CX Lu, W Wang, A Markham… - arxiv preprint arxiv …, 2018 - arxiv.org
Advances in micro-electro-mechanical (MEMS) techniques enable inertial measurements
units (IMUs) to be small, cheap, energy efficient, and widely used in smartphones, robots …

An extended Kalman filter for magnetic field SLAM using Gaussian process regression

F Viset, R Helmons, M Kok - Sensors, 2022 - mdpi.com
We present a computationally efficient algorithm for using variations in the ambient magnetic
field to compensate for position drift in integrated odometry measurements (dead-reckoning …