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Search Results - Advances in Visual Computing

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  1. 1

    A narrative review of deep learning applications in sports performance analysis: current practices, challenges, and future directionsA narrative review of deep learning application...

    Jia, Y., Abdullah, N. A., Eliza, H., Lu, Q., Si, D., Guo, H., Wang, W.
    Published in BMC Sports Science, Medicine and Rehabilitation (2025)
    “…Background The integration of deep learning techniques into sports performance analysis has significantly advanced athlete monitoring, motion tracking, and predictive modelling. …”
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  2. 2

    Real-time hand tracking and collision detection for immersive mixed-reality boxing training on Apple Vision Pro

    Karelin, A., Brazhenko, D., Kliukovkin, G., Chernenko, Y.
    Published in Sensors (2025)
    “…Leveraging the device`s advanced spatial computing capabilities, this research addresses the limitations of traditional fitness applications that lack precision for technique-based sports like boxing with visual-only hand tracking. …”
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  3. 3

    The effectiveness of the training process of skiers using computer vision methods

    Novikova, N. B., Novikov, A. N., Ivanova, I. G., Belyova, A. N.
    Published in Theory and Practice of Physical Culture (2024)
    “…Results and conclusions. The advanced software enables precise identification of ski racers' movements in training and competition settings, providing visual representation of angular features and velocities in joints. …”
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  4. 4

    Table tennis coaching system based on a multimodal large language model with a table tennis knowledge base

    Ma, W., Liu, Y., Yi, Q., Liu, X., Xing, W., Zhao, R., Liu, H., Li, R.
    Published in PLOS ONE (2025)
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  5. 5

    Diving into data driven match analysis in football with floodlight and open data

    Bassek, M., Memmert, D., Rein, R.
    Published in 15. Symposium der dvs-Sektion "Sportinformatik und Sporttechnologie": Zwischen Geistesakrobatik und praktischer Anwendung: Innovationen in der Sportinformatik und Sporttechnologie - Abstractband (2024)
    “…Using floodlight, we show a pipeline to create advanced data analysis and visualization that is interchangeable, reproducible, and requires minimal prior coding experience. …”
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  6. 6

    ArcheryVis: A tool for analyzing and visualizing archery performance data

    Cheng, Z., Li, Z., Luo, Z., Liu, M., D`Alonzo, J., Wang, C.
    Published in Advances in Visual Computing (2023)
    Collective title: “…Advances in Visual Computing…”
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  7. 7

    Part-based player identification using deep convolutional representation and multi-scale pooling

    Senocak, A., Oh, T.-H., Kim, J., Kweon, I. S.
    Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (2018)
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  8. 8

    Fine-grained visual dribbling style analysis for soccer videos with augmented dribble energy image

    Li, R., Bhanu, B.
    Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (2019)
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  9. 9

    Pilot study: optical tracking of barbell kinematics for low-cost strength training performance monitoring

    Achermann, B., Oberhofer, K., Gross, M., Lorenzetti, S.
    Published in ISBS Proceedings Archive (Michigan) (2022)
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  10. 10

    Audio-video techniques for the analysis of players behaviour in Badminton matches

    Bosi, S.
    Published in POLITesi - Digital archive of PhD and post graduate theses (2022)
    “…Thanks to the great advances in computer vision and deep learning, it is nowadays possible to help manual annotators by means of automatic or semi-automatic multimedia analysis techniques. …”
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  11. 11

    Laboratory, computational and field studies of snowboard dynamics

    Buffinton, K. W., Shooter, S. B., Thorpe, I. J., Krywicki, J. J.
    Published in Sports Engineering (2003)
    “…In particular, laboratory tests are used to determine the first three bending and first two torsional natural frequencies and modal damping ratios for eight snowboards from two manufacturers. Computer models are developed using the software packages Pro/ENGINEER and Pro/MECHANICA that accurately reproduce the experimentally measured natural frequencies and that facilitate visualization of mode shapes. …”
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  12. 12

    Advanced human motion analysis and visualization: Comparison of mawashi-geri kick of two elite karate athletes

    Hachaj, T., Ogiela, M. R., Piekarczyk, M., Koptyra, K.
    Published in 2017 IEEE Symposium Series on Computational Intelligence (SSCI) (2017)
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  13. 13

    Tac-Miner: Visual tactic mining for multiple table tennis matches

    Wang, J., Wu, J., Cao, A., Zhou, Z., Zhang, H., Wu, Y.
    Published in IEEE Transactions on visualization and computer graphics (2021)
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  14. 14

    SPinPong - Virtual reality table tennis skill acquisition using visual, haptic and temporal cues

    Wu, E., Piekenbrock, M., Nakumura, T., Koike, H.
    Published in IEEE Transactions on visualization and computer graphics (2021)
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  15. 15

    Bidirectional long short-term memory networks and sparse hierarchical modeling for scalable educational learning of dance choreographies

    Rallis, I., Bakalos, N., Doulamis, N., Doulamis, A., Voulodimos, A.
    Published in The Visual Computer (2021)
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  16. 16

    High-speed moving target tracking of multi-camera system with overlapped field of view

    Yan, M., Zhao, Y., Liu, M., Kong, L., Dong, L.
    Published in Signal, Image and Video Processing (2021)
    “…Multi-camera target tracking is a research hot spot in the field of computer vision. Because the field of view covered by the fixed monocular camera is limited, it cannot continuously track fast-moving targets for a long time, such as the video sequence of skaters` short-track speed skating. …”
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  17. 17

    Functional and structural plasticity of brain in elite karate athletes

    Duru, A. D., Balcioglu, T. H.
    Published in Canadian Respiratory Journal (2018)
    “…Similarly, for the elite karate players, the brain regions involved in the movement planning and visual perception are found to have higher connectivity values. …”
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  18. 18

    RADVis: A software tool for the visual investigation of raw accelerometry data

    Straczkiewicz, M., Urbanek, J., Harezlak, J.
    Published in Journal for the Measurement of Physical Behaviour (2018)
    “…The graphical user interface provided enables efficient exploration of the acceleration signals without advanced computational skills. RADVis allows plotting of the tri-axial data, vector magnitude, and statistical summaries of the subsets of up to two different signals. …”
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  19. 19

    Non-rigid 3D reconstruction of the human body in motion

    Elanattil, S.
    Published 2020
    “…A robust solution to this problem is necessary for a broad range of applications, including computer animation, visual effects, sports analytics, health care, and biomechanics. …”
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  20. 20

    Computer-assisted three-dimensional sports training system analysis and design research

    Zhou, L.
    Published in 2015 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (2015)
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