Results 11 to 20 of about 16,572 (251)

Wearable IMMU-Based Relative Position Estimation between Body Segments via Time-Varying Segment-to-Joint Vectors

open access: yesSensors, 2022
In biomechanics, estimating the relative position between two body segments using inertial and magnetic measurement units (IMMUs) is important in that it enables the capture of human motion in unconstrained environments.
Chang June Lee, Jung Keun Lee
doaj   +1 more source

Effects of Data Augmentation on the Nine-Axis IMU-Based Orientation Estimation Accuracy of a Recurrent Neural Network

open access: yesSensors, 2023
The nine-axis inertial and measurement unit (IMU)-based three-dimensional (3D) orientation estimation is a fundamental part of inertial motion capture.
Ji Seok Choi, Jung Keun Lee
doaj   +1 more source

A Practical Sensor-to-Segment Calibration Method for Upper Limb Inertial Motion Capture in a Clinical Setting. [PDF]

open access: yesIEEE J Transl Eng Health Med
Inertial sensors have the potential to be a useful clinical tool because they can facilitate human motion capture outside the research setting. A major barrier to the widespread application of inertial motion capture is the lack of accepted calibration ...
McInnes M   +3 more
europepmc   +2 more sources

Treadmill-to-Overground Mapping of Marker Trajectory for Treadmill-Based Continuous Gait Analysis

open access: yesSensors, 2021
A treadmill was used to perform continuous walking tests in a limited space that can be covered by marker-based optical motion capture systems. Most treadmill-based gait data are analyzed based on gait cycle percentage.
Woo Chang Jung, Jung Keun Lee
doaj   +1 more source

Estimation of the Knee Adduction Moment and Joint Contact Force during Daily Living Activities Using Inertial Motion Capture. [PDF]

open access: yesSensors (Basel), 2019
Knee osteoarthritis is a major cause of pain and disability in the elderly population with many daily living activities being difficult to perform as a result of this disease. The present study aimed to estimate the knee adduction moment and tibiofemoral
Konrath JM   +5 more
europepmc   +2 more sources

From raw measurements to human pose - a dataset with low-cost and high-end inertial-magnetic sensor data

open access: yesScientific Data, 2022
Measurement(s) Raw magnetic, angular rate, and acceleration signals from body motion • Full body  kinematics Technology Type(s) Inertial Motion Capture • Inertial Motion Capture (Xsens MVN Awinda) Factor Type(s) Sex • Age • Body Mass • Body height Sample
Manuel Palermo   +4 more
doaj   +1 more source

Human motion capture system in sports performance based on Internet of Things technology and wireless inertial sensor

open access: yesEURASIP Journal on Advances in Signal Processing, 2021
Taking human movements has very good prospects of application in sports, animated projects, medicine and health and other areas. This article aims to study the human motion capture system in sports performances based on the Internet of Things technology ...
Wenfeng Xu
doaj   +1 more source

In Vivo Measurement of Wrist Movements during the Dart-Throwing Motion Using Inertial Measurement Units

open access: yesSensors, 2021
Background: This study investigates the dart-throwing motion (DTM) by comparing an inertial measurement unit-based system previously validated for basic motion tasks with an optoelectronic motion capture system.
Gabriella Fischer   +3 more
doaj   +1 more source

Effect of Strapdown Integration Order and Sampling Rate on IMU-Based Attitude Estimation Accuracy

open access: yesSensors, 2018
This paper deals with the strapdown integration of attitude estimation Kalman filter (KF) based on inertial measurement unit (IMU) signals. In many low-cost wearable IMU applications, a first-order is selected for strapdown integration, which may degrade
Jung Keun Lee, Mi Jin Choi
doaj   +1 more source

Quaternion-Based Local Frame Alignment between an Inertial Measurement Unit and a Motion Capture System

open access: yesSensors, 2018
Local frame alignment between an inertial measurement unit (IMU) system and an optical motion capture system (MCS) is necessary to combine the two systems for motion analysis and to validate the accuracy of IMU-based motion data by using references ...
Jung Keun Lee, Woo Chang Jung
doaj   +1 more source

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