Search Results

Refine Results
  1. 1

    The utility of markerless motion capture for performance analysis in racket sports

    Tan, J. Q. J., Chow, J. Y., Komar, J.
    article
    Save to List
    Saved in:
    Access source
  2. 2

    Development of a computer service for assessing and analysing the readiness of freestyle athletes

    Zdanovich, O., Zebzeev, V., Paramonova, N.
    article
    Save to List
    Saved in:
    Access source
  3. 3

    Cognitive neuroscience in alpine skiing: Introducing computational sports medicine for performance optimization

    Boraxbekk, C.-J., Supej, M., Holmberg, H.-C.
    article
    Save to List
    Saved in:
    Access source
  4. 4

    Automated data and video processing in track cycling

    Vleeschouwers, T., Decorte, R., Slembrouck, M., Verstockt, S.
    Published in Journal of Science and Cycling (2025)
    article
    Save to List
    Saved in:
    Access source
  5. 5

    NeuroSwift: computer vision-based system to assess the cognitive-motor speed of soccer players—preliminary findings

    Moya-Vergara, F., Barrera-Gutiérrez, I., Arriaza-Marholz, P., Piñones-Zuleta, E., Valverde-Esteve, T., García-Manso, J., Arriaza-Ardiles, E., Zúñiga-Barraza, M.
    article
    Save to List
    Saved in:
    Access source
  6. 6

    A vision-based archery training aid system for real-time body form analysis

    Aiman, M. H., Arshad, N. W., Erizal, L. R., Hamid, R., Karim, R. A., Rasli, M. A. M., Majid, M. K. B. A.
    article
    Save to List
    Saved in:
    Access source
  7. 7

    Computer vision-based archery optics

    Raj, A.
    Published in Augmented Human Research (2025)
    article
    Save to List
    Saved in:
    Access source
  8. 8

    Quantitative analysis and evaluation of research on the application of computer vision in sports since the 21st century

    Cheng, C., Xue, J., Gou, W., Xie, M.
    article
    Save to List
    Saved in:
    Access source
  9. 9

    An introduction to performance analysis in sport

    Cullinane, A., Davies, G., O'Donoghue, P.
    Published 2024
    book
    Save to List
    Saved in:
    Access source
  10. 10

    The effectiveness of the training process of skiers using computer vision methods

    Novikova, N. B., Novikov, A. N., Ivanova, I. G., Belyova, A. N.
    article
    Save to List
    Saved in:
    Access source
  11. 11

    Table tennis coaching system based on a multimodal large language model with a table tennis knowledge base

    Ma, W., Liu, Y., Yi, Q., Liu, X., Xing, W., Zhao, R., Liu, H., Li, R.
    Published in PLOS ONE (2025)
    article
    Save to List
    Saved in:
    Access source
  12. 12

    Accessibility of motion capture as a tool for sports performance enhancement for beginner and intermediate cricket players

    Maduwantha, K., Jayaweerage, I., Kumarasinghe, C., Lakpriya, N., Madushan, T., Tharanga, D., Wijethunga, M., Induranga, A., Gunawardana, N., Weerakkody, P., Koswattage, K.
    Published in Sensors (2024)
    article
    Save to List
    Saved in:
    Access source
  13. 13

    Development of a low-cost markerless optical motion capture system for gait analysis and anthropometric parameter quantification

    Espitia-Mora, L. A., Vélez-Guerrero, M. A., Callejas-Cuervo, M.
    Published in Sensors (2024)
    article
    Save to List
    Saved in:
    Access source
  14. 14

    Masked autoencoder pretraining for event classification in elite soccer

    Rudolph, Y., Brefeld, U.
    article
    Save to List
    Saved in:
    Access source
  15. 15

    Emotion prediction through eye tracking in affective computing systems

    Edinger, J., Heck, M., Becker, C.
    article
    Save to List
    Saved in:
    Access source
  16. 16

    MOPED: an agent-based model for peloton dynamics in competitive cycling

    Martins Ratamero, E.
    article
    Save to List
    Saved in:
    Access source
  17. 17

    Training process modeling of hammer throwers taking into account peculiarities of stress adaptation

    Bolotin, A., Bakayev, V.
    article
    Save to List
    Saved in:
    Access source
  18. 18

    XR programmers give their perspective on how XR technology can be effectively utilized in high-performance sport.

    Le Noury, P. J., Polman, R. C., Maloney, M. A.
    Published in Sports Medicine - Open (2023)
    article
    Save to List
    Saved in:
    Access source
  19. 19

    Bayesian inference of the impulse-response model of athlete training and performance

    Peng, K., Brodie, R. T., Swartz, T. B., Clarke, D. C.
    article
    Save to List
    Saved in:
    Access source
  20. 20

    Automated service height fault detection using computer vision and machine learning for badminton matches

    Goh, G. L., Goh, G. D., Pan, J. W., Teng, P. S. P., Kong, P. W.
    Published in Sensors (2023)
    article
    Save to List
    Saved in:
    Access source

Search Tools: