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  1. 1

    Effect of stroboscopic visual training in athletes: a systematic review

    Jothi, S, Dhakshinamoorthy, J, Kothandaraman, K.
    Published in Journal of Human Sport & Exercise (2025)
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  2. 2

    The next generation of strength and conditioning practice to enhance performance and reduce injury risk: virtual reality-based integration of neuromuscular, neurocognitive, and sen...

    McPherson, A. L., Hogg, J. A., Foreman, E., Riehm, C. D., Howell, D. R., Grooms, D. R., Myer, G. D.
    Published in Strength and Conditioning Journal (2025)
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  3. 3

    Sensor location affects skeletal muscle contractility parameters measured by tensiomyography

    Schwiete, C., Roth, C., Braun, C., Rettenmaier, L., Happ, K., Langen, G., Behringer, M.
    Published in PLOS ONE (2023)
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  4. 4

    Utilizing Virtual Reality to Understand Athletic Performance and Underlying Sensorimotor Processing

    Kimura, T., Nasu, D., Kashino, M.
    Published in Proceedings (2018)
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  5. 5

    Assessment of the relevance and reliability of reaction time tests performed in Immersive virtual reality by mixed martial arts fighters

    Polechonski, J., Langer, A.
    Published in Sensors (2022)
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  6. 6

    Does exhaustion modify acceleration running signature?

    Provot, T., Nadjem, A., Valdes-Tamayo, L., Bourgain, M., Chiementin, X.
    Published in Sports Biomechanics (2024)
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  7. 7

    Predicting children`s energy expenditure during physical activity using deep learning and wearable sensor data

    Hamid, A., Duncan, M. J., Eyre, E. L., Jing, Y.
    Published in European Journal of Sport Science (2021)
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  8. 8

    The potential usefulness of virtual reality systems for athletes: A short SWOT analysis

    Düking, P., Holmberg, H. C., Sperlich, B.
    Published in Frontiers in Physiology (2018)
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  9. 9

    Situation awareness and complexity: the role of wearable technologies in sports science

    Di Tore, P. D.
    Published in Journal of Human Sport & Exercise (2015)
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  10. 10

    Using inertial sensors for reconstructing 3D full-body movement in sports - Possibilities and limitations on the example of alpine ski racing

    Fasel, B., Spörri, J., Kröll, J., Müller, E., Aminian, K.
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  11. 11

    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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  12. 12

    Trainingsbedingte Veränderungen - Messung, Modellierung und Evidenzsicherung

    L. K. Maurer, F. Döhring, K. Ferger, H. Maurer, M. Reiser, H. Müller
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  13. 13

    Leveraging depth cameras and wearable pressure sensors for full-body kinematics and dynamics capture

    Zhang, P., Siu, K., Zhang, J., Liu, C. K., Chai, J.
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  14. 14

    MoSh: motion and shape capture from sparse markers

    Loper, M., Mahmood, N., Black, M. J.
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  15. 15

    Beurteilung eines neu entwickelten aktiven pneumatisch gesteuerten sensomotorischen Test- und Trainingsgerätes (Assessment of a newly developed active pneumatic-driven sensomotoric test and training device)

    Haslinger, W., Müller, L., Mildner, E., Löfler, S., Kern, H., Raschner, C.
    Published in Spectrum der Sportwissenschaften (2012)
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  16. 16

    Intelligente Bewegungsbetreuung - Einsatzgebiet von Ubiquitous-Computing-Technologien mit hohem Potential

    Baca, A.
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  17. 17

    Das Test- und Trainingsprogramm "Senso-Control II" in der sportpraktischen Anwendung

    Kratzer, H.
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  18. 18

    Kreativität - Innovation - Leistung. Wissenschaft bewegt SPORT bewegt Sportwissenschaft. 20. Sportwissenschaftllicher Hochschultag Halle (Saale) 2011 - Abstracts

    K. Hottenrott, O. Stoll, R. Wollny
    Published 2011
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  19. 19

    Bewegung und Leistung - Sport, Gesundheit & Alter : 8. Gemeinsames Symposium der dvs-Sektionen Biomechanik, Sportmotorik und Trainingswissenschaft vom 02.-04. September 2010 in Ham...

    K. Mattes, B. Wollesen
    Published 2010
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  20. 20

    Sensomotorische Kontrolle trifft Sportinformatik: Ein Erfahrungsbericht

    Heinen, T., Raab, M.
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