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Showing 1 to 8 of 8 for “"markerless motion capture"”.

  1. Enhancing gait recognition with 3D markerless motion capture

    … is developed which makes use of state-of-the-art markerless motion capture and automated machine learning (AutoML) methods. Advances in 3D markerless motion capture enable full 3D body poses to be estimate from unconstrained video sources. The motion capture algorithm is used to produce 3D body …

    qu-belfast Repository record for Enhancing gait recognition with 3D markerless motion capture (opens in a new tab)

  2. Using Markerless Motion Capture and Principal Component Analysis to Classify BMX Freestyle Tricks

    … and their bike using DeepLabCut, an opensource markerless motion capture software. Next, a Principal Component Analysis (PCA) is applied to the tracking data to calculate metrics to identify each trick type. Finally, a classifier is trained to learn these metrics. The dataset used in this paper …

    mit Repository record for Using Markerless Motion Capture and Principal Component Analysis to Classify BMX Freestyle Tricks (opens in a new tab)

  3. Evaluation of Markerless Motion Capture to Assess Physical Exposures During Material Handling Tasks

    … This dissertation assessed the accuracy of a markerless motion capture system (MMC) to quantify physical exposures during MMH tasks using three studies. Specifically, the first study investigated the performance of an MMC system, together with machine learning algorithms, for classifying …

    vt Repository record for Evaluation of Markerless Motion Capture to Assess Physical Exposures During Material Handling Tasks (opens in a new tab)

  4. Analysis of pitching and active joint range of motion in baseball pitchers with markerless motion capture software

    … insights about a pitcher’s performance, with markerless, camera-based systems providing new-found opportunities to study pitch mechanics. A potential variable that has not received much attention, but can be a potential predictor of future success, is joint range of motion. The purpose of this …

    uoit Repository record for Analysis of pitching and active joint range of motion in baseball pitchers with markerless motion capture software (opens in a new tab)

  5. Validation and Examination of Upper Extremity Kinematics in Typically Developing Children During the Box and Blocks Functional Test using Marker-based and Markerless Technology

    … often difficult to examine using marker-based motion capture. As a result of the cost and availability of tools such as marker-based motion capture in clinical settings, clinicians use functional tasks to examine improvement in movement quality. However, some of these tasks, such as the Box and …

    vt Repository record for Validation and Examination of Upper Extremity Kinematics in Typically Developing Children During the Box and Blocks Functional Test using Marker-based and Markerless Technology (opens in a new tab)

  6. A Low-Cost Computer Vision Approach for Objectively Evaluating Triple Jump Technique: Proof of Concept

    … the potential of an affordable, single-camera markerless motion capture system to analyze triple jump technique in real-world settings. Although the system shows promise, much of the process remains manual, limiting its scalability for broader use. Despite its current limitations, the proposed …

    ottawa-retro Repository record for A Low-Cost Computer Vision Approach for Objectively Evaluating Triple Jump Technique: Proof of Concept (opens in a new tab)

  7. HAMSTRING INJURIES IN FOOTBALL: A COMPLEX SYSTEMS APPROACH THROUGH VIDEO ANALYSIS

    … suggesting that reductionist models do not fully capture the complexity of their etiology. This PhD thesis aimed to investigate hamstring injuries in football through a complex systems approach, using video analysis to integrate biomechanical, contextual, and perceptual-cognitive dimensions of the …

    milano Repository record for HAMSTRING INJURIES IN FOOTBALL: A COMPLEX SYSTEMS APPROACH THROUGH VIDEO ANALYSIS (opens in a new tab)

  8. Novel Approach for Non-Invasive Prediction of Body Shape and Habitus

    <p>While marker-based motion capture remains the gold standard in measuring human movement, accuracy is influenced by soft-tissue artifacts, particularly for subjects with high body mass index (BMI) where markers are not placed close to the underlying bone. Obesity influences joint loads and motion

    denver Repository record for Novel Approach for Non-Invasive Prediction of Body Shape and Habitus (opens in a new tab)