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  1. 1

    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.
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  2. 2

    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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  3. 3

    Fusion models for generalized classification of multi-axial human movement: Validation in sport performance

    Amerineni, R., Gupta, L., Steadman, N., Annauth, K., Burr, C., Wilson, S., Barnaghi, P., Vaidyanathan, R.
    Published in Sensors (2021)
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  4. 4

    Computer aided fencing sports wearable equipment based on FPGA microprocessor and sensors

    Fei, Z.
    Published in Microprocessors and Microsystems (2021)
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  5. 5

    Use of IMU in differential analysis of the reverse punch temporal structure in relation to the achieved maximal hand velocity

    Markovic, S., Kos, A., Vukovic, V., Dopsaj, M., Koropanovski, N., Umek, A.
    Published in Sensors (2021)
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  6. 6

    Do boxing athletes differ from controls in visually analysing opponent´s postures? A pilot study tracking eye movements

    Tessari, A., Lugli, L., Nicoletti, R., Ricciardelli, P.
    Published in Journal of Human Sport & Exercise (2021)
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  7. 7

    Creating a scoring system with an armband wearable device for table tennis forehand loop training: Combined use of the principal component analysis and artificial neural network

    Wu, W.-L., Liang, J.-M., Chen, C.-F., Tsai, K.-L., Chen, N.-S., Lin, K.-C., Huang, I.-J.
    Published in Sensors (2021)
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  8. 8

    Metrical characteristics and the reliability of kinematic sensor devices applied in different modalities of reverse punch in karate athletes

    Vukovic, V., Dopsaj, M., Koropanovski, N., Markovic, S., Kos, A., Umek, A.
    Published in Measurement (2021)
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  9. 9

    A self-power flexible piezoelectric sensing system for badminton training monitoring

    Wang, C., Fan, Z., Feng, K.
    Published in IEICE Electronics Express (2021)
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  10. 10

    Beneficial effects of IT solutions in the sport of table tennis

    Péter, K., Csaba, S.
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  11. 11

    Assessing the effects of kata and kumite techniques on physical performance in elite karatekas

    Molinaro, L., Taborri, J., Montecchiani, M., Rossi, S.
    Published in Sensors (2020)
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  12. 12

    Badminton activity recognition using accelerometer data

    Steels, T., Van Herbruggen, B., Fontaine, J., De Pessemier, T., Plets, D., De Poorter, E.
    Published in Sensors (2020)
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  13. 13

    An evaluation of wearable inertial sensor configuration and supervised machine learning models for automatic punch classification in boxing

    Worsey, M. T. O., Espinosa, H. G., Shepherd, J. B., Thiel, D. V.
    Published in IoT (2020)
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  14. 14

    Use of machine learning and wearable sensors to predict energetics and kinematics of cutting maneuvers

    Zago, M., Sforza, C., Dolci, C., Tarabini, M., Galli, M.
    Published in Sensors (2019)
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  15. 15

    Racquet sports recognition using a hybrid clustering model learned from integrated wearable sensor

    Xia, K., Wang, H., Xu, M., Li, Z., He, S., Tang, Y.
    Published in Sensors (2020)
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  16. 16

    The design of a supporting device for badminton footwork practice based on microcontroller technology

    Ngadiman, N., Kusuma, I. J.
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  17. 17

    Enhance reaction time for the masses and elite goalkeepers via smartphone and Blazepod

    Prince, M. M.
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  18. 18

    Reliability and validity of a taekwondo electronic body protector

    Razman, R., Chong, R. W. L.
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  19. 19

    CoachAI: A project for microscopic badminton match data collection and tactical analysis

    Hsu, T.-H., Chen, C.-H., Ju. N. P., Ik, T. U., Peng, W.-C., Wang, C.-C., Wang, Y.-S., Lin, Y.-H., Tseng, Y.-C., Huang, J.-L., Ching, Y.-T.
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  20. 20

    Automatic badminton action recognition using CNN with adaptive feature extraction on sensor data

    Wang, Y., Fang, W., Ma, J., Li, X., Zhong, A.
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