Results 11 to 20 of about 938,397 (267)

Evaluating 3D Human Motion Capture on Mobile Devices

open access: yesApplied Sciences, 2022
Computer-vision-based frameworks enable markerless human motion capture on consumer-grade devices in real-time. They open up new possibilities for application, such as in the health and medical sector.
Lara Marie Reimer   +3 more
doaj   +1 more source

Motion Capture Systems and Their Use in Educational Research: Insights from a Systematic Literature Review

open access: yesEducation Sciences, 2023
Motion capture is gaining significance in educational research. Different motion capture systems (MCSs) are used in educational research for different purposes and in different ways, which creates a diversity that is difficult to monitor. The aim of this
Anna Sophia Reuter, Maike Schindler
doaj   +1 more source

Machine Learning for Optical Motion Capture-Driven Musculoskeletal Modelling from Inertial Motion Capture Data

open access: yesBioengineering, 2023
Marker-based Optical Motion Capture (OMC) systems and associated musculoskeletal (MSK) modelling predictions offer non-invasively obtainable insights into muscle and joint loading at an in vivo level, aiding clinical decision-making.
Abhishek Dasgupta   +3 more
doaj   +1 more source

MOTION CAPTURE WITH MEMS SENSORS

open access: yesСучасні інформаційні системи, 2023
The object of this article is the registration and analysis of human movements based on sensors. This paper presents a comparison of the basic methods of data processing from inertial micromechanical sensors to collect data a device was implemented that
Dmytro Dashkov, Oleksii Liashenko
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

Crowd motion capture

open access: yesComputer Animation and Virtual Worlds, 2007
AbstractIn this paper a new and original technique to animate a crowd of human beings is presented. Following the success of data‐driven animation models (such as motion capture) in the context of articulated figures control, we propose to derivate a similar type of approach for crowd motions.
Courty, Nicolas, Corpetti, Thomas
openaire   +3 more sources

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

Quantifying Jump Height Using Markerless Motion Capture with a Single Smartphone

open access: yesIEEE Open Journal of Engineering in Medicine and Biology, 2023
Goal: The countermovement jump (CMJ) is commonly used to measure lower-body explosive power. This study evaluates how accurately markerless motion capture (MMC) with a single smartphone can measure bilateral and unilateral CMJ jump height. Methods: First,
Timilehin B. Aderinola   +4 more
doaj   +1 more source

Robust Inertial Measurement Unit-Based Attitude Determination Kalman Filter for Kinematically Constrained Links

open access: yesSensors, 2019
The external acceleration of a fast-moving body induces uncertainty in attitude determination based on inertial measurement unit (IMU) signals and thus, frequently degrades the determination accuracy.
Jung Keun Lee, Mi Jin Choi
doaj   +1 more source

Comparative Analysis of Biomechanical Variables in Marker-based and Markerless Motion Capture Systems

open access: yesДоклады Белорусского государственного университета информатики и радиоэлектроники, 2023
Motion capture systems are a key tool for performing quantitative analysis and evaluation of complex in movements sports. The prospect of the development and practical application of markerless motion capture tecnology in applied biomechanics increases ...
D. I. Guseinov
doaj   +1 more source

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