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  1. 1

    A comparative study of plantar pressure and inertial sensors for cross-country ski classification using deep learning

    Polo-Rodríguez, A., Escobedo, P., Martínez-Martí, F., Marcen-Cinca, N., Carvajal, M. A., Medina-Quero, J., Martínez-García, M. S.
    Published in Sensors (2025)
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  2. 2

    Wearable snow friction measurement device for cross-country skiing

    Yu, Z., Liu, Y., Hao, Y., Wu, Y., Liu, Y., Zhou, F.
    Published in Tribology International (2024)
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  3. 3

    V2 cross-country skiing technique variations assessed through principal movement discriminants extracted from wearable sensor data

    Debertin, D.
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  4. 4

    Using wearable sensors to estimate mechanical power output in cyclical sports other than cycling - a review

    de Vette, V. G., Veeger, D., van Dijk, M. P.
    Published in Sensors (2023)
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  5. 5

    Inner-Cycle phases can be estimated from a single inertial sensor by long short-term memory neural network in roller-ski skating

    Meyer, F., Lund-Hansen, M., Seeberg, T.M., Kocbach, J., Sandbakk, Ø., Austeng, A.
    Published in Sensors (2022)
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  6. 6

    Exploring the potential for using force insoles in performance analysis of cross-country skiers

    Kocbach, J., Meyer, F., Sandbakk, Ø. B.
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  7. 7

    Real-time location tracking analysis of cross-country skiing using various wearable devices: a case study

    Hwang, J., Kim, J., Kim, H., Moon, J., Lee, J., Kim, J.
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  8. 8

    Cyber-physische Systeme im Leistungssport auf der Basis vernetzter Sportgeräte - Anwendungsfall Skistock im Projekt SMAPOLE (Cyber-physical systems in competitive sports on the base of networked sports equipment - Application case ski pole in the project SMAPOLE)

    Höhne, R., Steinbild, P. J., Modler, N., Schürer, A., Wilhelm, A.
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  9. 9

    Full course macro-kinematic analysis of a 10 km classical cross-country skiing competition

    Marsland, F., Mackintosh, C., Holmberg, H. C., Anson, J., Waddington, G., Lyons, K., Chapman, D.
    Published in PLOS ONE (2017)
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