Survey of motion tracking methods based on inertial sensors: A focus on upper limb human motion

A Filippeschi, N Schmitz, M Miezal, G Bleser, E Ruffaldi… - Sensors, 2017 - mdpi.com
Motion tracking based on commercial inertial measurements units (IMUs) has been widely
studied in the latter years as it is a cost-effective enabling technology for those applications …

How magnetic disturbance influences the attitude and heading in magnetic and inertial sensor-based orientation estimation

B Fan, Q Li, T Liu - Sensors, 2017 - mdpi.com
With the advancements in micro-electromechanical systems (MEMS) technologies, magnetic
and inertial sensors are becoming more and more accurate, lightweight, smaller in size as …

40 years of sensor fusion for orientation tracking via magnetic and inertial measurement units: Methods, lessons learned, and future challenges

M Nazarahari, H Rouhani - Information Fusion, 2021 - Elsevier
Technological developments over the past two decades have resulted in the development of
more accurate and lightweight low-cost magnetic and inertial measurement units (MIMUs) …

A novel Kalman filter for human motion tracking with an inertial-based dynamic inclinometer

G Ligorio, AM Sabatini - IEEE Transactions on Biomedical …, 2015 - ieeexplore.ieee.org
Goal: Design and development of a linear Kalman filter to create an inertial-based
inclinometer targeted to dynamic conditions of motion. Methods: The estimation of the body …

Estimation of attitude and external acceleration using inertial sensor measurement during various dynamic conditions

JK Lee, EJ Park, SN Robinovitch - IEEE transactions on …, 2012 - ieeexplore.ieee.org
This paper proposes a Kalman filter-based attitude (ie, roll and pitch) estimation algorithm
using an inertial sensor composed of a triaxial accelerometer and a triaxial gyroscope. In …

An attention-based deep learning approach for inertial motion recognition and estimation in human-robot collaboration

H Zhou, G Yang, B Wang, X Li, R Wang… - Journal of Manufacturing …, 2023 - Elsevier
In line with a human-centric smart manufacturing vision, human-robot collaboration is
striving to combine robots' high efficiency and quality with humans' rapid adaptability and …

Wearable sensing for solid biomechanics: A review

C Wong, ZQ Zhang, B Lo, GZ Yang - IEEE Sensors Journal, 2015 - ieeexplore.ieee.org
Understanding the solid biomechanics of the human body is important to the study of
structure and function of the body, which can have a range of applications in health care …

Appearance based pedestrians' head pose and body orientation estimation using deep learning

M Raza, Z Chen, SU Rehman, P Wang, P Bao - Neurocomputing, 2018 - Elsevier
Pedestrian orientation recognition, including head and body directions, is a demanding task
in human activity-recognition scenarios. While moving in one direction, a pedestrian may be …

A novel adaptive Kalman filtering approach to human motion tracking with magnetic-inertial sensors

JH Zhang, P Li, CC **, WA Zhang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This article presents an adaptive Kalman filtering approach to estimate the orientation of
human body segments by using magnetic-inertial measurement units (MIMUs) with three …

A novel biomechanical model-aided IMU/UWB fusion for magnetometer-free lower body motion capture

S Zihajehzadeh, EJ Park - IEEE Transactions on Systems, Man …, 2016 - ieeexplore.ieee.org
The available human body inertial motion capture (MoCap) systems are aided by
magnetometers to remove the drift error in yaw angle estimation, which in turn limits their …