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  1. 1

    Validity of a commercial wearable sensor measuring respiratory frequency in cycling

    Greco, G., Innocenti, L., Massaroni, C., Nicolò, A.
    Published in Journal of Science and Cycling (2024)
    “…hardware…”
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  2. 2

    Precision and accuracy of four handheld blood lactate analyzers across low to high exercise intensities

    Mentzoni, F., Skaugen, M., Eythorsdottir, I., Roterud, S., Spro Johansen, E., Losnegard, T.
    Published in European Journal of Applied Physiology (2024)
    “…hardware…”
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  3. 3

    Towards an operational framework for designing training based sports virtual reality performance simulators

    Shepherd, J., Carter, L., Pepping, G.-J., Potter, L.-E.
    Published in Proceedings (2018)
    “…hardware…”
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  4. 4

    Development of a system for monitoring performance in the strength and conditioning domain

    Gordon, D., van Lopik, K., Hayward, S., Philpott, L., Conway, P., West, A.
    Published in Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology (2022)
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  5. 5

    Sports analytics - analysis, visualisation and decision making in sports performance (Sportanalytik - Analyse, Visualisierung und Entscheidungsfindung bei sportlichen Leistungen)

    Jayal, A., McRobert, A., Oatley, G., O'Donoghue, P.
    Published 2018
    “…hardware…”
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  6. 6

    Hardware-software complex for sports orientation, selection and stage control: potential for judo and sambo

    Koryagina, Y. V., Nopin, S. V., Ter-Akopov, G. N., Abutalimova, S. M.
    Published in Theory and Practice of Physical Culture (2022)
    “…hardware…”
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  7. 7

    An end-to-end deep learning pipeline for football activity recognition based on wearable acceleration sensors

    Cuperman, R., Jansen, K. M. B., Ciszewski, M. G.
    Published in Sensors (2022)
    “…hardware…”
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  8. 8

    An effective self-powered piezoelectric sensor for monitoring basketball skills

    Zhao, C., Jia, C., Zhu, Y., Zhao, T.
    Published in Sensors (2021)
    “…hardware…”
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  9. 9

    Framework for intelligent swimming analytics with wearable sensors for stroke classification

    Costa, J., Silva, C., Santos, M., Fernandes, T., Faria, S.
    Published in Sensors (2021)
    “…hardware…”
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  10. 10

    Performance analysis in ski jumping with a differential global navigation satellite system and video-based pose estimation

    Elfmark, O., Ettema, G., Groos, D., Ihlen, E. A. F., Velta, R., Haugen, P., Braaten, S., Gilgien, M.
    Published in Sensors (2021)
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  11. 11

    Sensor-based indices for the prediction and monitoring of anterior cruciate ligament injury: Reliability analysis and a case study in basketball

    Molinaro, L., Taborri, J., Santospagnuolo, A., Vetrano, M., Vulpiani, M. C., Rossi, S.
    Published in Sensors (2021)
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  12. 12

    Wearables and Internet of Things (IoT) technologies for fitness assessment: A systematic review

    Passos, J., Lopes, S. I., Clemente, F. M., Moreira, P. M., Rico-González, M., Bezerra, P., Rodrigues, L. P.
    Published in Sensors (2021)
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  13. 13

    Reliability and validity of the CORE sensor to assess core body temperature during cycling exercise

    Verdel, N., Podlogar, T., Ciuha, U., Holmberg, H. C., Debevec, T., Supej, M.
    Published in Sensors (2021)
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  14. 14

    Upper body activity classification using an inertial measurement unit in court and field-based sports: A systematic review

    McGrath, J., Neville, J., Stewart, T., Cronin, J.
    Published in Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology (2021)
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  15. 15

    What is the most suitable sampling frequency to register accelerometry-based workload? A case study in soccer

    Gómez-Carmona, C. D., Rojas-Valverde, D., Rico-González, M., Ibáñez, S. J., Pino-Ortega, J.
    Published in Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology (2021)
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  16. 16

    Less is more: Learning insights from a single motion sensor for accurate and explainable soccer goalkeeper kinematics

    Lisca, G., Prodaniuc, C., Grauschopf, T., Axenie, C.
    Published in IEEE Xplore (2021)
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  17. 17

    Estimation of mechanical power output employing deep learning on inertial measurement data in roller ski skating

    Uddin, M. Z., Seeberg, T. M., Kocbach, J., Liverud, A. E., Gonzalez, V., Sandbakk, Ø., Meyer, F.
    Published in Sensors (2021)
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  18. 18

    The effect of paddle stroke variables measured by Trainesense SmartPaddle® on the velocity of the kayak

    Löppönen, A., Vänttinen, T., Haverinen, M., Linnamo, V.
    Published in Sensors (2022)
    “…hardware…”
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  19. 19

    Stride lengths during maximal linear sprint acceleration obtained with foot-mounted inertial measurement units

    de Ruiter, C. J., Wilmes, E., van Ardenne, P. S., Houtkamp, N., Prince, R. A., Wooldrik, M., van Dieën, J. H.
    Published in Sensors (2022)
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  20. 20

    Validity and reliability of an inertial sensor device for specific running patterns in soccer

    Pillitteri, G., Thomas, E., Battaglia, G., Navarra, G. A., Scardina, A., Gammino, V., Ricchiari, D., Bellafiore, M.
    Published in Sensors (2021)
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