Inertial motion capture-based wearable systems for estimation of joint kinetics: A systematic review

CJ Lee, JK Lee - Sensors, 2022 - mdpi.com
In biomechanics, joint kinetics has an important role in evaluating the mechanical load of the
joint and understanding its motor function. Although an optical motion capture (OMC) system …

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 gated recurrent unit-based particle filter for unmanned underwater vehicle state estimation

C Lin, H Wang, M Fu, J Yuan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Target state estimation is a key technology for unmanned underwater vehicles (UUVs) to
achieve target tracking, collision avoiding, formation control, and other tasks. Compared with …

Attitude estimation using low-cost MARG sensors with disturbances reduction

W Ding, Y Gao - IEEE Transactions on Instrumentation and …, 2021 - ieeexplore.ieee.org
Attitude information obtained from low-cost magnetic, angular rate, and gravity (MARG)
sensors is prone to be deteriorated by disturbances such as external acceleration and …

Double-channel sequential probability ratio test for failure detection in multisensor integrated systems

G Gao, Y Zhong, S Gao, B Gao - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article proposes a double-channel sequential probability ratio test (DCSPRT) failure
detection algorithm for improving the fault-tolerant ability of the multisensor system. It …

A full-state robust extended Kalman filter for orientation tracking during long-duration dynamic tasks using magnetic and inertial measurement units

M Nazarahari, H Rouhani - IEEE Transactions on Neural …, 2021 - ieeexplore.ieee.org
Accurate and robust orientation estimation using magnetic and inertial measurement units
(MIMUs) has been a challenge for many years in long-duration measurements of joint …

Near-Field Beamforming Algorithms for UAVs

Y Zhang, G Wang, S Peng, Y Leng, G Yu, B Wang - Sensors, 2023 - mdpi.com
This study presents three distributed beamforming algorithms to address the challenges of
positioning and signal phase errors in unmanned aerial vehicle (UAV) arrays that hinder …

Smartphone sensors-based abnormal driving behaviors detection: Serial-feature network

R Wang, F Xie, J Zhao, B Zhang, R Sun… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
One of the important factors leading to traffic accidents is the abnormal driving behavior of
drivers. Early detection of abnormal driving behaviors can effectively reduce the occurrence …

A parallel recurrent neural network for robust inertial and magnetic sensor-based 3D orientation estimation

JS Choi, CJ Lee, JK Lee - IEEE Access, 2023 - ieeexplore.ieee.org
The precise orientation estimation of moving objects in 3D space is crucial for the inertial
and magnetic measurement unit (IMMU)-based motion capture applications. Disturbance …

Robust Heading and Attitude Estimation of MEMS IMU in Magnetic Anomaly Field Using a Partially Adaptive Decoupled Extended Kalman Filter and LSTM Algorithm

H Li, S Chang, Q Yao, C Wan, G Zou… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The nine-axis MEMS inertial measurement units (IMUs) have been widely used in various
fields, such as underwater vehicles, unmanned aerial vehicles, and bionic robots. Due to the …