Results 11 to 20 of about 16,776 (250)

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

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

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 Algorithm Based on Inertial Sensors [PDF]

open access: yesJournal of Sensors, 2016
On the basis of inertial navigation, we conducted a comprehensive analysis of the human body kinematics principle. From the direction of two characteristic parameters, namely, displacement and movement angle, we calculated the attitude of a node during the human motion capture process by combining complementary and Kalman filters.
Peng-zhan Chen, Ye Kuang, Jie Li 0009
openaire   +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

DEVELOPMENT OF HUMAN INERTIAL MOTION CAPTURE SYSTEM [PDF]

open access: yesBulletin of Kyiv Polytechnic Institute. Series Instrument Making, 2018
У роботі висвітлено основні етапи розробки інерціальної системи захоплення руху людини. У роботі розглянуто існуючі методи захоплення руху, що використовують різні фізичні принципи роботи. Зроблено аналіз існуючих інерціальних систем захоплення руху.
Litosh, Anton, Lakoza, Serhii
openaire   +2 more sources

Validation of Inertial Sensors to Evaluate Gait Stability

open access: yesSensors, 2023
The portability of wearable inertial sensors makes them particularly suitable for measuring gait in real-world walking situations. However, it is unclear how well inertial sensors can measure and evaluate gait stability compared to traditional laboratory-
Paul M. Riek, Aaron N. Best, Amy R. Wu
doaj   +1 more source

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