Results 1 to 10 of about 94,306 (270)

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

Bioengineering, 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, Rahul Sharma, Challenger Mishra, Vikranth Harthikote Nagaraja   +3 more
doaj   +5 more sources

Inertial Motion Capture-Based Whole-Body Inverse Dynamics [PDF]

Sensors, 2021
Inertial Motion Capture (IMC) systems enable in situ studies of human motion free of the severe constraints imposed by Optical Motion Capture systems.
Mohsen M. Diraneyya, JuHyeong Ryu, Eihab Abdel-Rahman, Carl T. Haas   +3 more
doaj   +6 more sources

Inertial Motion Capture Costume Design Study [PDF]

Sensors, 2017
The paper describes a scalable, wearable multi-sensor system for motion capture based on inertial measurement units (IMUs). Such a unit is composed of accelerometer, gyroscope and magnetometer.
Agnieszka Szczęsna, Przemysław Skurowski, Ewa Lach, Przemysław Pruszowski, Damian Pęszor, Marcin Paszkuta, Janusz Słupik, Kamil Lebek, Mateusz Janiak, Andrzej Polański, Konrad Wojciechowski   +10 more
doaj   +5 more sources

Sensor Fusion for Enhancing Motion Capture: Integrating Optical and Inertial Motion Capture Systems [PDF]

Sensors
This study aimed to create and evaluate an optimization-based sensor fusion algorithm that combines Optical Motion Capture (OMC) and Inertial Motion Capture (IMC) measurements to provide a more efficient and reliable gap-filling process for OMC ...
Hailey N. Hicks, Howard Chen, Sara A. Harper   +2 more
doaj   +3 more sources

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

Sensors, 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
Jason M. Konrath, Angelos Karatsidis, H. Martin Schepers, Giovanni Bellusci, Mark de Zee, Michael S. Andersen   +5 more
doaj   +2 more sources

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

IEEE Journal of Translational Engineering in Health and Medicine
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 ...
Mhairi McInnes, Dimitra Blana, Andrew Starkey, Edward K. Chadwick   +3 more
doaj   +2 more sources

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

Sensors, 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

Sensors, 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

Sensors, 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

Scientific 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, Sara M. Cerqueira, João André, António Pereira, Cristina P. Santos   +4 more
doaj   +1 more source