Results 201 to 210 of about 10,913 (220)

Concurrent assessment of gait kinematics using marker-based and markerless motion capture

Journal of Biomechanics, 2021
Robert M Kanko, Elise K Laende, Elysia M Davis   +2 more
exaly  

Validation of a 3D Markerless System for Gait Analysis Based on OpenPose and Two RGB Webcams

IEEE Sensors Journal, 2021
Erika D’Antonio, Juri Taborri, Ilaria Mileti   +2 more
exaly  

Validity of artificial intelligence-based markerless motion capture system for clinical gait analysis: Spatiotemporal results in healthy adults and adults with Parkinson’s disease

Journal of Biomechanics, 2023
Zachary Ripic, Joseph F Signorile, Kevin A Jacobs   +2 more
exaly  

Clothing condition does not affect meaningful clinical interpretation in markerless motion capture

Journal of Biomechanics, 2022
Robert M Kanko, Elise K Laende, Kevin J Deluzio   +2 more
exaly  

Markerless motion capture estimates of lower extremity kinematics and kinetics are comparable to marker-based across 8 movements

Journal of Biomechanics, 2023
Ke Song, Todd J Hullfish, Rodrigo Scattone Silva   +2 more
exaly  

Concurrent validity of smartphone-based markerless motion capturing to quantify lower-limb joint kinematics in healthy and pathological gait

Journal of Biomechanics, 2023
Brian Horsák
exaly  

Anipose: A toolkit for robust markerless 3D pose estimation

Cell Reports, 2021
Pierre Karashchuk, Evyn S Dickinson, Sarah Walling-Bell   +2 more
exaly  

Concurrent validity of artificial intelligence-based markerless motion capture for over-ground gait analysis: A study of spatiotemporal parameters

Journal of Biomechanics, 2022
Zachary Ripic, Joseph F Signorile, Christopher Kuenze   +2 more
exaly  

Markerless Motion Capture for Biomechanical Applications

2008
Lars Mündermann, Stefano Corazza, Thomas P. Andriacchi   +2 more
openaire   +1 more source

Aerial Markerless Motion Capture

Human motion capture (mocap) is important for several applications such as healthcare, sports, animation etc. Existing markerless mocap methods employ multiple static and calibrated RGB cameras to infer the subject’s pose. These methods are not suitable for outdoor and unstructured scenarios. They need an extra calibration step before the mocap session
openaire   +4 more sources