Results 11 to 20 of about 181,828 (215)

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   +2 more sources

Outdoor Motion Capture at Scale [PDF]

Sensors
Capturing kinematic data in outdoor sports is challenging, as motions span large capture volumes and occur under difficult environmental conditions. Video-based approaches, particularly with pan–tilt–zoom cameras, offer a practical solution, but the ...
Michael Zwölfer, Martin Mössner, Helge Rhodin, Werner Nachbauer   +3 more
doaj   +2 more sources

Movement of deception in motion capture [PDF]

Scientific Reports
Deception detection has attracted broad interest in professional practice and academic research, and body movement is considered one of the key aspects in deception detection.
Shao-Kang Lee, Ken Fujiwara
doaj   +2 more sources

Motion Capture Technology in Sports Scenarios: A Survey

Sensors
Motion capture technology plays a crucial role in optimizing athletes’ skills, techniques, and strategies by providing detailed feedback on motion data.
Xiang Suo, Weidi Tang, Zhen Li
doaj   +3 more sources

Pose and motion capture technologies [PDF]

MATEC Web of Conferences, 2021
The multitude of sensors, transducers and data acquisition systems used in the ever-increasing domains of today’s industry, were designed and created on a purpose-based agenda.
Panaite Arun Fabian, Rosca Sebastian, Sibişanu Remus   +2 more
doaj   +1 more source

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

CLET: Computation of Latencies in Event-related potential Triggers using photodiode on virtual reality apparatuses

Frontiers in Human Neuroscience, 2023
To investigate event-related activity in human brain dynamics as measured with EEG, triggers must be incorporated to indicate the onset of events in the experimental protocol.
Piyush Swami, Piyush Swami, Piyush Swami, Klaus Gramann, Elise Klæbo Vonstad, Beatrix Vereijken, Alexander Holt, Tomas Holt, Grethe Sandstrak, Jan Harald Nilsen, Xiaomeng Su   +10 more
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

Evaluating 3D Human Motion Capture on Mobile Devices

Applied 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, Maximilian Kapsecker, Takashi Fukushima, Stephan M. Jonas   +3 more
doaj   +1 more source