Search Results - "technology"

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  1. 1

    Investigation of supervised machine learning for IMU-based swimming activity recognition

    Aram, S., Thompson, I. M., Hudson, D. A., Banks, J. “…technology…”
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  2. 2

    VO2FITTING software: New insights and practical applications (VO2FITTING software update)

    Monteiro, A. S. M., Azevedo, R. M. S., Zacca, R., Ogonowska-Slodownik, A., Buzzachera, C. F., Vilas-Boas, J. P., Fernandes, R. J.
    Published in Journal of Human Kinetics (2025)
    “…technology…”
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  3. 3

    An integer programming approach for relay design in masters swimming

    De Arca, F., Marenco, J.
    Published in Journal of Sports Analytics (2025)
    “…technology…”
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  4. 4

    Reliability, accuracy and ecological validity of a wireless pressure sensor for swimming performance analysis

    Coloretti, V., Russo, G., Bartolomei, S., Fantozzi, S., Cortesi, M.
    Published in Sports Engineering (2025)
    “…technology…”
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  5. 5

    Error assessment of a three-dimensional underwater motion capture methodology

    Thompson, I. M., Audot, D. A. G., Warner, M. B., Banks, J., Logan, O., Hudson, D.
    Published in Sports Biomechanics (2025)
    “…technology…”
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  6. 6

    Propulsive and braking contribution of the lower limbs, trunk, and upper limbs during underwater undulatory swimming calculated from vortices distribution: A simulation study

    Tanaka, T., Hashizume, S., Kurihara, T., Isaka, T.
    Published in Journal of Biomechanics (2025)
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  7. 7

    Interpreting the projected frontal area in front crawl: determining the projected frontal area of each body segment

    Washino, S., Murai, A., Kadi, T., Narita, K., Mankyu, H., Yoshitake, Y. “…technology…”
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  8. 8

    Determining validity and reliability of an in-field performance analysis system for swimming

    Born, D.-P., Polach, M., Staunton, C.
    Published in Sensors (2024)
    “…technology…”
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  9. 9

    Development of an IMU-based motion capture system for swimming

    Bittendorf, C., Stein, T., Sell, S., Stetter, B. J.
    Published in Current Issues in Sport Science (2024)
    “…technology…”
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  10. 10

    Agreement between an automated video-based system and tethered system to measure instantaneous swimming velocity

    Scott, M., Elsworthy, N., Brackley, V., Elipot, M., Kean, C. O.
    Published in Sports Biomechanics (2024)
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  11. 11

    Lactate threshold evaluation in swimming using a sweat lactate sensor: A prospective study

    Okawara, H., Sawada, T., Nakashima, D., Fujitsuka, H., Muramoto, Y., Hinokuma, D., Oshikiri, Y., Ishizaki, K., Miki, J., Hara, R., Sano, M., Sato, K., Nakamura, M., Nagura, T., Katsumata, Y.
    Published in European Journal of Sport Science (2024)
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  12. 12

    Automated system for collection and differentiated evaluation of functional and special physical fitness of swimmers of different level of qualifications

    Solopov, I. N., Fomichenko, T. G., Avdienko, V. B., Bgantseva, I. V. “…technology…”
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  13. 13

    Generating weekly training plans in the style of a professional swimming coach using genetic algorithms and random trees

    Eriksson, R., Nicander, J., Johansson, M., Mattsson, C. M. “…technology…”
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  14. 14

    Feedback systems

    Leinen, P., Panzer, S. “…technology…”
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  15. 15

    Exploring the confluence of nanotechnology and biotechnology in water sports: Innovative solutions for enhanced performance and sustainability

    Shahi, S., Shilja
    Published in Migration Letters (2023)
    “…technology…”
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  16. 16

    Stroke regulation timing according to final performance during international open-water races : a race analysis using embedded sensors

    Bouvet, A., Pla, R., Delhaye, E., Nicolas, G., Bideau, N. “…technology…”
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  17. 17

    Accelerometery vs. video-derived stroke parameters in high-level swimmers

    Musson, C. “…technology…”
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  18. 18

    Automatic detection of paraswimmers front crawl key points to assess upper-limb coordination

    Regaieg, M. “…technology…”
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  19. 19

    Wearable technology metrics are associated with energy deficiency and psychological stress in elite swimmers

    Lundstrom, E. A., De Souza, M. J., Koltun, K. J., Strock, N. C. A., Canil, H. N., Williams, N. I. “…technology…”
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  20. 20

    IMU-based clustering of intra and inter-cyclic variability to extract technical abilities during front crawl sprint

    Bouvet, A., Delhaye, E., Nicolas, G., Bideau, N. “…technology…”
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