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  1. 1

    Comparison of ground reaction force and contact time during various-direction lunges between badminton shoes without and with a lateral forefoot wedge sole

    Chen, W.-H., Chen, C.-H., Yang, W.-W., Lin, G.-Y., Hsu, W.-C., Shiang, T.-Y., Liu, C.
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  2. 2

    Examining internal and external load relationships in singles and doubles badminton games among male university players

    Lin, Y. C., Liu, T. H., Shiang, T. Y., Chen, W. H.
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  3. 3

    Enhanced pose estimation for badminton players via improved YOLOv8-Pose with efficient local attention

    Wu, Y., Chen, Z., Zhang, H., Yang, Y., Yi, W.
    Published in Sensors (2025)
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  4. 4

    Muscle synergy analysis during badminton forehand overhead smash: integrating electromyography and musculoskeletal modeling

    Tajik, R., Dhahbi, W., Fadaei, H., Mimar, R.
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  5. 5

    A stroke of genius: Predicting the next move in badminton

    Ibh, M., Graßhof, S., Hansen, D. W.
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  6. 6

    Personalized workload management in badminton using a machine learning model

    Musa, R. M., Abdul Majeed, A. P. P., Musawi Maliki, A. B. H., Kosni, N. A.
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  7. 7

    Visualizing victory - Investigating an immersive VR game analysis tool for badminton

    Dänekas, B., Zargham, N., Zhang, S., Vajen, R., Bhattacharjee, S., Khadse, S., Loerakker, M. B., Malaka, R.
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  8. 8

    Enhancing badminton game analysis: an approach to shot refinement via a fusion of shuttlecock tracking and hit detection from monocular camera

    Hsu, Y.-H., Yu, C.-C., Cheng, H.-Y.
    Published in Sensors (2024)
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  9. 9

    A technology-based experience to improve badminton skills: A challenge-based learning application

    González-Peño, A., Simón-Chico, L., Prieto, L., Franco, E.
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  10. 10

    Inertial sensors containing device-based match characteristics that act as prognosticators of elite, male badminton players' performance levels

    Abdullahi, Y., Coetzee, B.
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  11. 11

    Reaction time estimation based on recursive short-term principal component analysis for skeletal information of badminton players

    Sagawa, K., Shishido, H., Suita, M., Kitahara, I.
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  12. 12

    Detection of shot information using footwork trajectory and skeletal information of badminton players

    Tanaka, N., Shishido, H., Suita, M., Nishijima, T., Kameda, Y., Kitahara, I.
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  13. 13

    Quantifying hitting load in racket sports: A scoping review of key technologies

    Brich, Q., Casals, M., Crespo, M., Reid, M., Baiget, E.
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  14. 14

    Assistive technology for Para-badminton athletes: the application of the matching person and technology theoretical model in occupational therapy

    Soares, L. F. L., Tormin, L. M., Carvalho, K. S., de Jesus Alves, A. C.
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  15. 15

    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)
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  16. 16

    Badminton stroke identification using wireless inertial sensor and neural network

    Ooi, J. H., Gouwanda, D.
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  17. 17

    Sport performance analysis with a focus on racket sports: a review

    Krizkova, S., Tomaskova, H., Tirkolaee, E. B.
    Published in Applied Sciences (2021)
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  18. 18

    Experimental and computer simulation studies on badminton racquet strings

    Suwannachote, N., Imjai, T., Wattanapanich, C., Kefyalew, F., Garcia, R., Aosai, P.
    Published in Sensors (2023)
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  19. 19

    Study and design of distributed badminton agility training and test system

    Tan, B., Wang, E., Cao, K., Xiao, L., Luo, L.
    Published in Applied Sciences (2023)
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  20. 20

    DL-Shuttle: Badminton Coaching Training Assistance System Using Deep Learning Approach

    Jian, C. Z., Abdullah, J., Lenando, H.
    Published in IEEE Xplore (2023)
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