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Reliability of an AI driven 3-dimensional markerless motion capture system for on the field sport applications
Rigoni, Giulio, Monaco, Niccolò, Martinez, Garazi Casillas, Cibin, Federica, Spolaor, Fabiola, Guiotto, Annamaria, Sawacha, Zimi
Published in Gait & posture (01.09.2023)
Published in Gait & posture (01.09.2023)
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Accuracy of conventional motion capture in measuring hip joint center location and hip rotations during gait, squat, and step-up activities
Lopez, Sarah, Johnson, Camille, Frankston, Naomi, Ruh, Ethan, McClincy, Michael, Anderst, William
Published in Journal of biomechanics (01.04.2024)
Published in Journal of biomechanics (01.04.2024)
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Validity of deep learning based motion capture using DeepLabCut to assess proprioception
Van Den Bogaart, Maud, Jacobs, Nina, Molenaers, Guy, Hallemans, Ann, Meyns, Pieter
Published in Gait & posture (01.09.2023)
Published in Gait & posture (01.09.2023)
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Assessing single camera markerless motion capture during upper limb activities of daily living
Scott, Bradley, Chadwick, Edward, McInnes, Mhairi, Blana, Dimitra
Published in Gait & posture (01.09.2023)
Published in Gait & posture (01.09.2023)
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Reconstruction of occluded pelvis markers during marker-based motion capture with industrial exoskeletons
Johns, Jasper, Bender, A., Glitsch, U., Schmidt-Bleek, L., Dymke, J., Brandl, C., Damm, P., Heinrich, K.
Published in Computer methods in biomechanics and biomedical engineering (2025)
Published in Computer methods in biomechanics and biomedical engineering (2025)
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Using Accelerometer Data to Tune the Parameters of an Extended Kalman Filter for Optical Motion Capture: Preliminary Application to Gait Analysis
Cuadrado, Javier, Michaud, Florian, Lugrís, Urbano, Pérez Soto, Manuel
Published in Sensors (Basel, Switzerland) (09.01.2021)
Published in Sensors (Basel, Switzerland) (09.01.2021)
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DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors and Retro-Reflectors
Chatzitofis, Anargyros, Zarpalas, Dimitrios, Kollias, Stefanos, Daras, Petros
Published in Sensors (Basel, Switzerland) (11.01.2019)
Published in Sensors (Basel, Switzerland) (11.01.2019)
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A Depth Camera Motion Analysis Framework for Tele-rehabilitation: Motion Capture and Person-Centric Kinematics Analysis
Minxiang Ye, Cheng Yang, Stankovic, Vladimir, Stankovic, Lina, Kerr, Andrew
Published in IEEE journal of selected topics in signal processing (01.08.2016)
Published in IEEE journal of selected topics in signal processing (01.08.2016)
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The measurement of in vivo joint angles during a squat using a single camera markerless motion capture system as compared to a marker based system
Schmitz, Anne, Ye, Mao, Boggess, Grant, Shapiro, Robert, Yang, Ruigang, Noehren, Brian
Published in Gait & posture (01.02.2015)
Published in Gait & posture (01.02.2015)
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Evaluating 3D Human Motion Capture on Mobile Devices
Reimer, Lara Marie, Kapsecker, Maximilian, Fukushima, Takashi, Jonas, Stephan M.
Published in Applied sciences (01.05.2022)
Published in Applied sciences (01.05.2022)
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RobCap: A Mobile Motion Capture System Mounted on a Robotic Arm
Alshamaa, Daniel, Cherubini, Andrea, Passama, Robin, Pla, Simon, Damm, Loic, Ramdani, Sofiane
Published in IEEE sensors journal (01.01.2022)
Published in IEEE sensors journal (01.01.2022)
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