📥 Inbound Notifications 669

Time â–¾ Id From To Type Content
2026-04-05 06:56:00 urn:uuid:b85bb9c5-cbbb-44c9-8d5b-29558f18ebdc https://datalake.inria.fr https://inria.hal.science ["Offer","coar-notify:ReviewAction"]
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            "We used the Custom software                                                                    to perform the geometrical calibration of the model according to the estimated anatomical landmark positions.",
            "Once the calibration was performed, Custom was again used to perform inverse kinematics: a penalty method for constrained multibody kinematics optimization using the Levenberg-Marquardt algorithm (Livet et al., 2023).",
            "Secondly, we evaluate the impact of joint angle estimation while using the Custom inverse kinematic framework (see subsection 3.2).",
            "The estimated anatomical markers of the lifting tasks data were used to compute the joint angles of a biomechanical model, using the Custom Software.",
            "It may also lead to important errors that may not be compatible with traditional inverse kinematics and dynamics frameworks, such as OpenSim (Delp et al., 2007), Anybody (Damsgaard et al., 2006), or Custom (Muller et al., 2019b).",
            "It aims at predicting the 3D positions Video keypoints \ud835\udc7d \ud835\udc68\ud835\udc93\ud835\udc8e \u2208 \u211d \ud835\udc7b\u00d7\ud835\udc71\u00d7\ud835\udfd1 Augmented Markers \ud835\udc4c \ud835\udc00\ud835\udc2b\ud835\udc26 = \ud835\udf13 \ud835\udc7d \ud835\udc68\ud835\udc93\ud835\udc8e , M, \ud835\udc3f Augmented Markers \ud835\udc4c \ud835\udc69\ud835\udc90\ud835\udc85\ud835\udc9a = \ud835\udf13 \ud835\udc15 \ud835\udc69\ud835\udc90\ud835\udc85\ud835\udc9a , \ud835\udc40, \ud835\udc3f Fullbody Augmented Markers Phase 1: Marker Augmentation Phase 2: Inverse Kinematics Ground Truth Markers Joint Angles Comparaison Body Model Arm Model Figure 1: The Proposed Pipeline: Fine tuning the Opencap marker augmenter Body Model and Arm Model Models to better estimate anatomical markers based on sparse 3D video keypoints, followed by using Custom software to calibrate a biomechanical model and apply inverse kinematics to compute the related joint angles."
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            "It may also lead to important errors that may not be compatible with traditional inverse kinematics and dynamics frameworks, such as OpenSim (Delp et al., 2007), Anybody (Damsgaard et al., 2006), or Custom (Muller et al., 2019b).",
            "Opencap emphasizes generating 3D anatomical markers using this synthetic approach, based on the same motion capture data and biomechanics studies processed with OpenSim software.",
            "The method detailed by                        employs a synthetic technique to create datasets by matching 3D video keypoints with corresponding 3D anatomical markers, as depicted in figures 1 and 2. These datasets are derived from 108 hours of motion capture data, which had previously been processed using OpenSim software                     and compiled from various published biomechanics studies."
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