Search Results - Sport Science Research and Technology Support
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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.Published in Proceedings of the 11th International Conference on Sport Sciences Research and Technology Support icSPORTS - Volume 1 (2023)Collective title: “…Proceedings of the 11th International Conference on Sport Sciences Research and Technology Support icSPORTS - Volume 1…”
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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.Published in Proceedings of the 11th International Conference on Sport Sciences Research and Technology Support icSPORTS - Volume 1 (2023)Collective title: “…Proceedings of the 11th International Conference on Sport Sciences Research and Technology Support icSPORTS - Volume 1…”
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Video analysis application to assess the reaction time in an ATP tennis tournament
Caprioli, L., Campoli, F., Edriss, S., Padua, E., Panichi, E., Romagnoli, C., Annino, G., Bonaiuto, V.Published in Proceedings of the 11th International Conference on Sport Sciences Research and Technology Support icSPORTS - Volume 1 (2023)Collective title: “…Proceedings of the 11th International Conference on Sport Sciences Research and Technology Support icSPORTS - Volume 1…”
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Imagery improves reaction time in elite sprinters
Iftikhar, M., Mallett, C., Javed, M.Published in Proceedings of the 6th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS (2018)Collective title: “…Proceedings of the 6th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS…”
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Stroke comparison between professional tennis players and amateur players using advanced computer vision
Baily, L., Truong, N., Lai, J., Nguyen, P.Published in Proceedings of the 8th International Conference on Sport Sciences Research and Technology Support (2020)Collective title: “…Proceedings of the 8th International Conference on Sport Sciences Research and Technology Support…”
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Commonality of motions having effective features with respect to methods for identifying the moves made during Kumite sparring in Karate
Sato, K., Matsubara, H., Suzuki, K.Published in Proceedings of the 8th International Conference on Sport Sciences Research and Technology Support (2020)Collective title: “…Proceedings of the 8th International Conference on Sport Sciences Research and Technology Support…”
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Vision based automated badminton action recognition using the new local convolutional neural network extractor
Azmina Rahmad, N., Amir As`ari, M., Fauzi Ibrahim, M., Jasmin Sufri, N. A., Rangasamy, K.Published in MoHE 2019: Enhancing Health and Sports Performance by Design (2019)“…Due to the rapid growth of science and technology, research on automated recognition of sports actions has become ubiquitous. …”
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