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  1. 1

    Künstliche Intelligenz und maschinelles Lernen in der Sportwissenschaft (Artificial intelligence and machine learning in sports science)

    D. Memmert
    Published 2025
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  2. 2

    Agility in handball: Position- and age-specific insights in performance and kinematics using proximity and wearable inertial sensors

    Heuvelmans, P., Gokeler, A., Benjaminse, A., Baumeister, J., Büchel, D.
    Published in Sensors (2025)
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  3. 3

    Understanding acceleration-based load metrics: from concepts to implementation

    Freitas, J., Moreira, A., Carvalho, J., Conceição, F., Estriga, L.
    Published in Sensors (2025)
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  4. 4

    Evaluation of the PhySens as a wrist-worn wearable in pitch detection and biomechanical workload estimation

    Greenberg, E. M., Thomas, S. J., Kablan, J., Condon, J., Backstrom, E., Lawrence, J. T.
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  5. 5

    Are fluctuations in physical performance affected by contextual fafctors in women`s handball matches? An analysis using five-minute fixed phases

    García-Sánchez, C., Navarro, R. M., Nieto-Acevedo, R., de la Rubia, A.
    Published in Biology of Sport (2025)
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  6. 6

    Machine learning approach for pitch type classification based on pelvis and trunk kinematics captured with wearable sensors

    Gomaz, L., Bouwmeester, C., van der Graaff, E., van Trigt, B., Veeger, D.
    Published in Sensors (2023)
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  7. 7

    Concurrent validity and reliability of devices to measure jump height in men`s handball players

    Soler-López, A., García-de-Alcaraz, A., Moreno-Villanueva, A., Pino-Ortega, J.
    Published in Sensors (2022)
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  8. 8

    Sensor location matters when estimating player workload for baseball pitching

    Published in Sensors (2022)
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  9. 9

    Using artificial intelligence-enhanced sensing and wearable technology in sports medicine and performance optimisation

    Chidambaram, S., Maheswaran, Y., Patel, K., Sounderajah, V., Hashimoto, D. A., Seastedt, K. P., McGregor, A. H., Markar, S. R., Darzi, A.
    Published in Sensors (2022)
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  10. 10

    spinfortec2020digital: 13. Symposium der dvs-Sektion "Sportinformatik und Sporttechnologie" vom 24.-25. September 2020 in Bayreuth (spinfortec2020digital: 13th Symposium of the dvs Section "Sports Informatics and Sports Technology" from 24th to 25th September 2020 in Bayreuth)

    U. Fehr, V. Werner, N. Wulff, J. Knietig, M. Frisch
    Published 2020
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  11. 11

    A wide-range, wireless wearable inertial motion sensing system for capturing fast athletic biomechanics in overhead pitching

    Lapinski, M., Brum Medeiros, C., Moxley Scarborough, D., Berkson, E., Gill, J. T., Kepple, T., Paradiso, A. J.
    Published in Sensors (2019)
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  12. 12

    Reliability of wearable microsensors to measure physical activity in handball

    Spencer, M., Holme, B. R., Luteberget, L. S.
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  13. 13

    Rocky start for wearables in professional sports games

    Waltz, E.
    Published in IEEE Spectrum (2016)
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  14. 14

    Wearable microsensor technology to measure physical activity demands in handball: a reliability study of inertial movement analysis and player load

    Holme, B. R.
    Published 2015
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