Search Results

Refine Results
  1. 1

    AI-powered assessment of motor development: using platforms like KineticAI to analyze fundamental movement skills in children

    Guo, J. X., Zhang, G. H., Zhang, Y. M.
    Published in Perceptual and Motor Skills (2025)
    Save to List
    Saved in:
    Access source
  2. 2

    Longitudinal performance trajectories of young female sprint runners: a new tool to predict performance progression

    Romann, M., Javet, M., Hernandez, J., Heyer, L., Trösch, S., Cobley, S., Born, D.,P.
    Save to List
    Saved in:
    Access source
  3. 3

    Normative data for the squat, bench press and deadlift exercises in powerlifting: data from 809,986 competition entries

    van den Hoek, D. J., Beaumont, P. L., van den Hoek, A. K., Owen, P. J., Garrett, J. M., Buhmann, R., Latella, C.
    Save to List
    Saved in:
    Access source
  4. 4

    Management information system data processing results of sports talent identification test: Borneo sport talent Id software implementation

    Buhari, M. R., Hidayanto, D. N., Sjamsir, H., Haryaka, U., Syamsudduha, S.
    Save to List
    Saved in:
    Access source
  5. 5

    The effect of contextual variables on match running performance in a category 3, U18 English Academy soccer team

    Barron, D., Yiannaki, C., Fry, J., Atherton, J.
    Published in Journal of Human Sport & Exercise (2023)
    Save to List
    Saved in:
    Access source
  6. 6

    Physical fitness profile and match analysis of elite junior badminton players: case studies

    Kui, W. S. W., Ler, H. Y., Woo, M. T.
    Save to List
    Saved in:
    Access source
  7. 7

    Preventing chronic fatigue in Czech young athletes: The features description of the "SmartTraining" mobile application

    Bernaciková, M., Kumstát, M., Burešová, I., Kapounková, K., Struhár, I., Sebera, M., Paludo, A. C.
    Published in Frontiers in Physiology (2022)
    Save to List
    Saved in:
    Access source
  8. 8

    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.
    Save to List
    Saved in:
    Access source
  9. 9

    20. Frühjahrsschule "Technologien im Leistungssport" 7./8. September 2022 in Leipzig (20th Spring School "Technologies in Competitive Sports" September 7-8, 2022, in Leipzig)

    IAT
    Published 2022
    Save to List
    Saved in:
    Access source
  10. 10

    Assessment of Young Swimmers` Technique with Tec Pa Tool

    Papadimitriou, K., Papadimitriou, N., Gourgoulis, V., Barkoukis, V., Loupos, D.
    Save to List
    Saved in:
    Access source
  11. 11

    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.
    Save to List
    Saved in:
    Access source
  12. 12

    Interval test training model for junior martial artists

    Stepanov, M., Salamatov, M., Sharipov, S.
    Save to List
    Saved in:
    Access source
  13. 13

    Technologien im Leistungssport 3: Tagungsband zur 19. Frühjahrsschule am 14./15. Mai 2018 in Leipzig (Technologies in elite sports 3: Proceedings of the 19th Spring School on 14./15. may 2018 in Leipzig)

    I. Fichtner
    Published 2018
    Save to List
    Saved in:
    Access source
    Access source
  14. 14

    The use of apps in athletic training, part I: applications for sideline management

    Brown, C. D., Keeley, K., Potteiger, K.
    Save to List
    Saved in:
    Access source
  15. 15

    Descriptive and kinetic analysis of two different vertical jump tests among youth and adolescent male basketball athletes using a supervised machine learning approach

    Gillett, J., De Witt, J., Stahl, C. A., Martinez, D., Dawes, J. J.
    Save to List
    Saved in:
    Access source
  16. 16

    Funkcional'na asimetrija u sporti: osoblivosti projavu ta p?dhodi do vikoristannja v procesi orientacii pidgotovki fehtuval'nikiv (Functional asymmetry in sport: features of the production and approaches to use in the process of the orientation of preparation of athletes in fencing)

    Ulan, A., Shynkaruk, O.
    Published in Science in Olympic Sport (2019)
    Save to List
    Saved in:
    Access source
  17. 17

    Precision strength training: Data-driven artificial intelligence approach to strength and conditioning

    Teikari, P., Pietrusz, A.
    Published in SportRxiv Preprints (2020)
    Save to List
    Saved in:
    Access source
  18. 18

    Innotramp - Pilot zur automatisierten single-sensor Sprungklassifizierung im Turnen (Innotramp - Pilot for automated single-sensor jump classification in gymnastics)

    Hackbarth, M., Rausch, P., Ferger, K.
    Save to List
    Saved in:
    Access source
  19. 19

    Comprehensive assessment of the health and physical development in martial arts athletes

    Katamanova, E., Vasilieva, L., Kuptsova, N., Kodinets, I., Kudaeva, I., Salnikova, G.
    Published in E3S Web of Conferences (2020)
    Save to List
    Saved in:
    Access source
  20. 20

    Entwicklung eines Instruments zur retrospektiven Analyse biopsychosozialer Gesundheitsverläufe jugendlicher Leistungssportler (bioMAP) (Development of an instrument for the retrospective analysis of biopsychosocial health processes of young competitive athletes (bioMAP))

    Thiel, A., Mayer, J., Gropper, H., Keppler, V.
    Save to List
    Saved in:
    Access source

Search Tools: