Search Results - Eskofier, B.M.

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  1. 1

    xLength: predicting expected ski jump length shortly after take-off using deep learning

    Link, J., Schwinn, L., Pulsmeyer, F., Kautz, T., Eskofier, B.M.
    Published in Sensors (2022)
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  2. 2

    From the laboratory to the field: IMU-based shot and pass detection in football training and game scenarios using deep learning

    Stoeve, M., Schuldhaus, D., Gamp, A., Zwick, C., Eskofier, B. M.
    Published in Sensors (2021)
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  3. 3

    Does the position of foot-mounted IMU sensors influence the accuracy of spatio-temporal parameters in endurance running?

    Zrenner, M., Küderle, A., Roth, N., Jensen, U., Dümler, B., Eskofier, B. M.
    Published in Sensors (2020)
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  4. 4

    Wearable trick classification in freestyle snowboarding

    Groh, B. H., Fleckenstein, M., Eskofier, B. M.
    Published in IEEE Xplore (2016)
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  5. 5

    Wearable real-time skateboard trick visualization and its community perception

    Groh, B. H., Flaschka, J., Wirth, M., Kautz, T., Fleckenstein, M., Eskofier, B. M.
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  6. 6

    Classification and visualization of skateboard tricks using wearable sensors

    Groh, B. H., Fleckenstein, M., Kautz, T., Eskofier, B. M.
    Published in Pervasive and Mobile Computing (2017)
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  7. 7

    IMU-based trick classification in skateboarding

    Groh, B. H., Kautz, T., Schuldhaus, D., Eskofier, B. M.
    congress proceedings
    “…Eskofier, B. M.…”
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  8. 8

    Classification of Match Phases in Handball

    Maurer, M. W., Kautz, T., Schlenzig, A., Hiemann, A., Zrenner, M., Eskofier, B. M.
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  9. 9

    Last length estimation in football

    Stoeve, M., Eskofier, B. M.
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  10. 10

    Optimal control simulation predicts effects of midsole materials on energy cost of running

    Dorschky, E., Krüger, D., Kurfess, N., Schlarb, H., Wartzack, S., Eskofier, B. M., van den Bogert, A. J.
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  11. 11

    Smart Racket - Echtzeitfeedbacksystem im Tischtennis (Smart Racket - real-time feedback system in table tennis)

    Blank, P., Eskofier, B. M.
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  12. 12

    Unobtrusive and wearable landing momentum estimation in ski jumping with inertial-magnetic sensors

    Groh, B. H., Fritz, J., Deininger, M., Schwameder, H., Eskofier, B. M.
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  13. 13

    Sensor-based stroke detection and stroke type classification in table tennis

    Blank, P., Hoßbach, J., Schuldhaus, D., Eskofier, B. M.
    congress proceedings
    “…Eskofier, B. M.…”
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  14. 14

    Ball impact localization on table tennis rackets using piezo-electric sensors

    Blank, P., Kautz, T., Kautz, B., Eskofier, B. M.
    congress proceedings
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  15. 15

    Ball speed and spin estimation in table tennis using a racket-mounted inertial sensor

    Blank, P., Blank, B. H., Groh, B. M., Eskofier, B. M.
    congress proceedings
    “…Eskofier, B. M.…”
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  16. 16

    Activity recognition in beach volleyball using a deep convolutional neural network leveraging the potential of deep learning in sports

    Kautz, T., Groh, B. H., Hannink, J., Jensen, U., Strubberg, H., Eskofier, B. M.
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  17. 17

    Unobtrusive and energy-efficient swimming exercise tracking using on-node processing

    Jensen, U., Blank, P., Kugler, P., Eskofier, B. M.
    Published in IEEE Sensors Journal (2016)
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  18. 18

    Automatisierte Wettkampfanalyse im Beachvolleyball auf Basis von Bilderkennung (Automated competition analysis in beach volleyball based on image recognition)

    Link, D., Eskofier, B. M.
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  19. 19

    Simplified orientation determination in ski jumping using inertial sensor data

    Groh, B. H., Weeger, N., Warschun, F., Eskofier, B. M.
    Published in Inertial Sensors and Systems 2014 (2014)
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  20. 20

    Movement prediction in rowing using a Dynamic Time Warping based stroke detection

    Groh, B. H., Reinfelder, S. J., Streicher, M. N., Taraben, A., Eskofier, B. M.
    congress proceedings
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