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Recognition punches in karate using acceleration sensors and convolution neural networks
Názov Recognition punches in karate using acceleration sensors and convolution neural networks Autor Labintsev A. Spoluautori Khasanshin I. Balashov D. Bocharov M. Bublikov Konstantin SAVELEK - Elektrotechnický ústav SAV ORCID Zdroj.dok. IEEE Access. Vol. 9 (2021), p. 138106-138119 Jazyk dok. eng - angličtina Druh dok. rozpis článkov z periodík (rbx) Ohlasy ECHEVERRIA, Jon - SANTOS, Olga C. Toward Modeling Psychomotor Performance in Karate Combats Using Computer Vision Pose Estimation. In SENSORS, 2021, vol. 21, no. 24, pp. Dostupné na: https://doi.org/10.3390/s21248378. JAYASEKARA, S. M. - WEERASINGHE, S. S. - ABAYAWARDANA, D. Y.W. - WELAGEDARA, A. R. - SIRIWARDANA, S. E.R. - KORALALAGE, M. N. Kaizen: Computer Vision Based Interactive Karate Training Platform. In IEEE Region 10 Annual International Conference, Proceedings/TENCON, 2022-01-01, 2022-November, pp. ISSN 21593442. Dostupné na: https://doi.org/10.1109/TENCON55691.2022.9977691. SANT’ ANA, Jader - KONS, Rafael Lima - DETANICO, Daniele - DIEFENTHAELER, Fernando. The use of mobile solutions for biomechanical assessment in combat sports: A narrative review. In Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, 2023-01-01, pp. ISSN 17543371. Dostupné na: https://doi.org/10.1177/17543371231199810. WALID, Mazen - AMEEN, Mostafa - ATIA, Ayman. Real-time Detection of Taikyoku Shodan Karate Kata Poses Using Classical Machine Learning and Deep Learning Models. In 3rd International Mobile, Intelligent, and Ubiquitous Computing Conference, MIUCC 2023, 2023-01-01, pp. 15-20. Dostupné na: https://doi.org/10.1109/MIUCC58832.2023.10278373. DAKER, Mahmoud - ELSAYAAD, Farida - ATIA, Ayman. Karate Kata Style Classification Using Pose Landmarks and Deep Learning. In 5th Novel Intelligent and Leading Emerging Sciences Conference, NILES 2023 Proceedings, 2023-01-01, pp. 228-231. Dostupné na: https://doi.org/10.1109/NILES59815.2023.10296806. MOSTAFA, Khaled - HANY, Mohamed - ATIA, Ayman. Automated Evaluation of Karate Practitioners' Style during the First Kata Performance using Deep Learning and Pose Estimation. In 5th Novel Intelligent and Leading Emerging Sciences Conference, NILES 2023 Proceedings, 2023-01-01, pp. 238-241. Dostupné na: https://doi.org/10.1109/NILES59815.2023.10296663. ITO, Sogo - MIURA, Satoshi. Assessment of a karate performer's position estimation system without any markers. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2023-01-01, pp. ISSN 1557170X. Dostupné na: https://doi.org/10.1109/EMBC40787.2023.10340470. SRIANTO, Widha - SISWANTOYO - SUDARKO, Rumpis Agus - ARGA, Muhammad Wahyu - SUSAN, Susanto. Technical Skills Assessment Anaiysis: Gyaku-Zuki Shots in Karate. In Sportske Nauke i Zdravlje, 2023-01-01, 13, 2, pp. 185-190. ISSN 22328211. Dostupné na: https://doi.org/10.7251/SSH2302185S. ANIFAH, Lilik - ZUHRIE, Muhamad Syariffuddien - MUHAMMAD - HARYANTO. INTEGRATED SMART REAL TIME SCORING PENCAK SILAT BASED ON INTERNET OF THINGS (IOT). In International Journal on Technical and Physical Problems of Engineering, 2023-03-01, 15, 1, pp. 155-163. HAJIZADEH, Rassoul. Unconstrained neighbor selection for minimum reconstruction error-based K-NN classifiers. In Complex and Intelligent Systems, 2023-10-01, 9, 5, pp. 5715-5730. ISSN 21994536. Dostupné na: https://doi.org/10.1007/s40747-023-01027-1. Kategória ADCA - Vedecké práce v zahraničných karentovaných časopisoch impaktovaných Kategória (od 2022) V3 - Vedecký výstup publikačnej činnosti z časopisu Typ výstupu článok Rok vykazovania 2021 Registrované v WOS Registrované v SCOPUS Registrované v CCC DOI 10.1109/ACCESS.2021.3118038 
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Názov súboru Prístup Veľkosť Stiahnuté Typ Licence Recognition Punches in Karate Using Acceleration.pdf Prístupný 1.9 MB 0 Vydavateľská verzia rok CC IF IF Q (best) JCR Av Jour IF Perc SJR SJR Q (best) CiteScore A rok vydania rok metriky IF IF Q (best) SJR SJR Q (best) 2021 2020 3.367 Q2 0.587 Q1
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