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  1. 1

    NeuroSwift: computer vision-based system to assess the cognitive-motor speed of soccer players—preliminary findings

    Moya-Vergara, F., Barrera-Gutiérrez, I., Arriaza-Marholz, P., Piñones-Zuleta, E., Valverde-Esteve, T., García-Manso, J., Arriaza-Ardiles, E., Zúñiga-Barraza, M.
    Published in Frontiers in Sports and Active Living (2025)
    “…Methods: A 3 × 3 interaction surface, front-facing visual stimuli, and HD video were orchestrated by a web application. …”
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  2. 2

    A visual analytics approach to basketball game understanding using image-based tracking and event detection

    Karungaru, S., Tanioka, H.
    Published in International Journal of Computer Science in Sport (2025)
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  3. 3

    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)
    “…CNNs were the most common models for visual recognition tasks, while RNNs (including LSTMs) were frequently used for temporal sequence data. …”
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  4. 4

    Computer vision-based archery optics

    Raj, A.
    Published in Augmented Human Research (2025)
    Subjects: “…computer…”
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  5. 5

    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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  6. 6

    Profiling pacing and underlying kinematics during 400m front-crawl with embedded sensors and functional modeling of large database: highlighting the technical regulations of variou...

    Bouvet, A., Nicolas, G., Bideau, N.
    Published in 29th Annual Congress of the European College of Sport Science, 2-5 July 2024, Book of Abstracts (2024)
    “…Fisher tests and visualizations of the functional responses were used for interpretations. …”
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  7. 7

    Homography based player identification in live sports

    Pandya, Y., Nandy, K., Agarwal, S.
    Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (2023)
    “…Modern live sports broadcasts display a wide variety of graphic visualizations identifying key players in a particular play. …”
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  8. 8

    Visualizing skiers' trajectories in monocular videos

    Dunnhofer, M., Sordi, L., Micheloni, C.
    Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (2023)
    “…We performed experiments on videos of real-world professional competitions to quantify the visualization error, the computational efficiency, as well as the applicability. …”
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  9. 9

    TemPose: A new skeleton-based transformer model designed for fine-grained motion recognition in badminton

    Ibh, M., Grasshof, S., Witzner, D., Madeleine, P.
    Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (2023)
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  10. 10

    Finish-line photography system based on multi-scale convolutional neural network deblurring

    Jin, Z., Tian, W.
    Published in Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology (2025)
    “…In sports science research, the dynamic non-uniform blur caused by the movement of running athletes is a challenging problem in computer vision, that seriously affects the judgment accuracy of the finish-line photography system. …”
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  11. 11

    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)
    “…Objective of the study was to experimentally validate the use of computer vision techniques to enhance the efficiency of ski racing training management. …”
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  12. 12

    Assessment of scapular position measurement using ultrasound sensors to correct skin to bone artifacts from skin mounted motion capture

    Vicini, A., Sabick, M. B.
    Published in Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization (2025)
    “…Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization…”
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  13. 13

    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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  14. 14

    Validity and reliability of OpenPose-based motion analysis in measuring knee valgus during drop vertical jump test

    Ino, T., Samukawa, M., Ishida, T., Wada, N., Koshino, Y., Kasahara, S., Tohyama, H.
    Published in Journal of Sports Science & Medicine (2024)
    “…It addresses the drawbacks associated with conventional three-dimensional motion analysis (3D-MA) and human visual detection-based motion analysis (Human-MA), including costly equipment, time-consuming analysis, and restricted experimental settings. …”
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  15. 15

    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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  16. 16

    Automated system for collection and differentiated evaluation of functional and special physical fitness of swimmers of different level of qualifications

    Solopov, I. N., Fomichenko, T. G., Avdienko, V. B., Bgantseva, I. V.
    Published in Theory and Practice of Physical Culture (2024)
    “…The «automated processes» component combines a number of procedural actions carried out using specialized computer software: normalization of all entered indicators (reduction to a single scale), differentiated assessment of each entered indicator, calculation of an integrative (average) assessment of the entire set of entered indicators, ranking and comparison of assessments of individual indicators, ranking and comparison of integrative assessments, visualization of assessments of all modalities, collection and archiving of information in a data bank, issuance of information to users. …”
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  17. 17

    Concurrent validity and test-retest reliability for the assessment of body segment lengths using two-dimensional video-recordings in weightlifting

    Lenz, H., Sandau, I., Witt, M.
    Published in Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization (2024)
    “…Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization…”
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  18. 18

    Automatic detection of faults in simulated race walking from a fixed smartphone camera

    Suzuki, T., Takeda, K., Fujii, K.
    Published in International Journal of Computer Science in Sport (2024)
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  19. 19

    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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  20. 20

    Automated gait analysis based on a marker-free pose estimation model

    Hii, C. S. T., Gan, K. B., Zainal, N., Mohamed Ibrahim, N., Azmin, S., Mat Desa, S. H., van de Warrenburg, B., You, H. W.
    Published in Sensors (2023)
    “…Currently, gait assessment depends on either visual observation, which lacks consistency between raters and requires clinical expertise, or instrumented evaluation, which is costly, invasive, time-consuming, and requires specialized equipment and trained personnel. …”
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