Survey of motion tracking methods based on inertial sensors: A focus on upper limb human motion
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 …
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
With the advancements in micro-electromechanical systems (MEMS) technologies, magnetic
and inertial sensors are becoming more and more accurate, lightweight, smaller in size as …
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
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) …
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 …
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
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 …
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
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 …
striving to combine robots' high efficiency and quality with humans' rapid adaptability and …
Wearable sensing for solid biomechanics: A review
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 …
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
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 …
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 …
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
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 …
magnetometers to remove the drift error in yaw angle estimation, which in turn limits their …