Search Results - IoT

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  1. 1

    Attentional focus strategies in racket sports: A systematic review

    Starzak, M., Niznikowski, T., Biegajlo, M., Nogal, M., Arnista, W. L., Mastalerz, A., Starzak, A.
    Published in PLOS ONE (2024)
    “…The study was registered with the Open Science Framework (osf.io/m4zat). Four electronic databases (Web of Science, Scopus, MEDLINE, and SPORTDiscus) were searched for original research publications. …”
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  2. 2

    Improving balance and movement control in fencing using IoT and real-time sensorial feedback

    Nita, V.-A., Magyar, P.
    Published in Sensors (2023)
    “…Verbesserung des Gleichgewichts und der Bewegungskontrolle beim Fechten mithilfe von IoT und sensorischem Feedback in Echtzeit…”
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  3. 3

    Fine-grained action detection with RGB and pose information using two stream convolutional networks

    Hacker, L., Bartels, F., Martin, P.-E.
    Published in CEUR Workshop Proceedings (2023)
    “…We can report an improvement in stroke classification, reaching 87.3% of accuracy, while the detection does not outperform the baseline but still reaches an IoU of 0.349 and mAP of 0.110. …”
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  4. 4

    Intelligent strategy of Internet of Things computing in badminton sports activities

    Xiong, S., Li, X. “…This DKNN model will perform the analysis of neighbor points about the badminton sports activities for training the players with the utilization of Internet of Things (IoT). Results indicate that the suggested DKNN algorithm performed 89% accurately, which is 6.5 percent better than the current sport motion segmentation technique. …”
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  5. 5

    Performance data analysis Olympic Games - Tokyo 2020: Overview of the most important technical parameters of the Tokyo Olympic Games

    Dokmanac, M. “…All this data is available through the "performance data analysis" platform at the internet address http://uww.io/wpar. This analysis provides basic information about the current state of world wrestling. …”
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  6. 6

    DeCoach: Deep learning-based coaching for badminton player assessment

    Ghosh, I., Ramamurthy, S. R., Chakma, A., Roy, N.
    Published in Pervasive and Mobile Computing (2022)
    “…IoT…”
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  7. 7

    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)
    “…IoT…”
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  8. 8

    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. “…In addition, training auxiliary devices including smart badminton rackets and connected serving machines will be developed based on the IoT technology to further utilize competition data and tactical data and boost training efficiency. …”
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  9. 9

    Trunk and lower limb muscle activation in linear, circular and spin back kicks

    Estevan, I., Falcó, C., Elvira, J. L. L., Vera-Garcia, F. J.
    Published in Archives of Budo (2015)
    “…In the kicking leg, trunk and hip flexor and knee extensor muscle activation (mainly RF, IO and RA) was higher in linear kicks than in circular and spin back kicks. …”
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  10. 10

    Entwicklung einer Datenbank für multimediale Gegneranalysen im Judo auf mobilen Endgeräten (Development of a database for multimedia analyses of opponents in judo on mobile devices)

    Heinisch, H. D., Oswald, R., Büsch, D., Winkler, T., Pioch, A., Janocha, D. “…Im Ergebnis der Entwicklung steht eine iOS Software Development Kit-Anwendung (Version 5), Cupertino, USA: Apple, die in Form einer Applikation (App) auf den jeweiligen Endgeräten installiert werden kann und die eine Verteilung und lokale Speicherung der Analyse- und Videodaten ermöglicht. …”
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