Search Results - "Klassifizierung"

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  1. 1

    Uncovering the spectrum of orthostatic hypotension in athletes with spinal cord injury: Implications for diagnosis, classification, and performance

    Sobeeh, M. G., Malik, R. N., Thordarson, T., Currie, K. D., Hubli, M., West, C. R., Sachdeva, R., Krassioukov, A.
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  2. 2

    Interlimb asymmetries in football players with coordination impairments: implications for classification and training

    Henríquez, M., Sadarangani, K. P., Cornejo, M. I., Peña-González, I., Yanci, J., Reina, R.
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  3. 3

    The utility of markerless motion capture for performance analysis in racket sports

    Tan, J. Q. J., Chow, J. Y., Komar, J.
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  4. 4

    Countermovement jump force-time mechanics differentiate ACL injury status in elite alpine ski racers

    Morris, N., da Silva Torres, R., Heard, M., Doyle Baker, P., Herzog, W., Jordan, M. J.
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  5. 5

    A field-based predictive model for evidence-based classification in male footballers with cerebral palsy

    Reina, R., Quesada Rico, J. A., Sarabia, J. M., Roldan, A., Castillo, D., Iturricastillo, A., Henríquez, M., Cornejo, M. I., Yanci, J.
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  6. 6

    Alpine skis categorization and on-snow performance prediction form mechanical measurments

    Desbiens, A. L., Audet, J., Benghanem, A.
    congress proceedings
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  7. 7

    Efficient talent identification in women`s football: a ranking-based approach for goal scoring analysis

    Song, S., Kim, H.-S.
    Published in PLOS ONE (2026)
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  8. 8

    A semi-supervised machine learning approach to define pressing roles in football

    Peters, A., Parmar, N., Davies, M., James, N.
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  9. 9

    A rule-based approach to classify counterpressing - analysis of its risks and relationship with rest defence

    Peters, A., Parmar, N., Davies, M., James, N.
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  10. 10

    Multisensory assessment and machine learning for athlete classification in talent identification

    MacGabhann, S., Waddington, G., Witchalls, J., Cobley, S., Dowse, R., Newman, P.
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  11. 11

    Beyond self-reports after anterior cruciate ligament injury - machine learning methods for classifying and identifying movement patterns related to fear of re-injury

    Karbalaie, A., Strong, A., Nordström, T., Schelin, L., Selling, J., Grip, H., Prorok, K., Häger, C. K.
    Published in Journal of Sports Sciences (2026)
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  12. 12

    Classification of proper countermovement jumps using a sacral-mounted inertial measurement unit

    Parr, T. E., Mehmeti, L., Reed, J., Le, P.
    Published in Sports Engineering (2025)
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  13. 13

    In-situ classification of football sports surfaces: leveraging machine learning for enhanced surface analysis

    Burbrink, C. M., Dickson, K. H., Fidan, E. N., Walters, K. J., Sorochan, J. C.
    Published in Sports Engineering (2026)
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  14. 14

    Classification of fielders in nippon professional baseball using a Gaussian mixture clustering model

    Oda, T., Hirotsu, N.
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  15. 15

    Effects of variable pose input on neural network model performance for classifying basketball player activity

    Williams, J., Poux-Guillaume, T., Hosoi, A.
    Published in Journal of Sports Analytics (2026)
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  16. 16

    Electroceuticals for paralympic athletes: a fair play and classification concern?

    Hodgkiss, D. D., Balthazaar, S. J. T., Gee, C. M., Boardley, I. D., Janssen, T. W. J., Krassioukov, A. V., Nightingale, T. E.
    Published in Sports Medicine (2026)
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  17. 17

    Sensor input type and location influence outdoor running terrain classification via deep learning approaches

    Thibault, G., Dixon, P. C., Pearsall, D. J.
    Published in Sensors (2025)
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  18. 18

    Deriving movement categories in rugby sevens

    Finnegan, C., Scriney, M., O`Hagan, A. D., McManus, L., Curran, O., Walsh, J. C., Bezbradica, M.
    Published in European Journal of Sport Science (2026)
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  19. 19

    Muscle injuries in 90 professional football players over 10 consecutive seasons: A comparison of two classification systems and their association with return-to-play time

    Huber, P. J., Schönnagel, B., Dalos, D., Frosch, K.-H., Adam, G., Welsch, G. H.
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  20. 20

    Weight loss trends in women`s wrestling and potential implications of menstrual cycle: a narrative review

    Jagim, A. R., Fields, J. B., Jones, M. T.
    Published in Nutrients (2026)
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