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iKarate: Karate Kata Guidance System

Smart coaching in martial arts is one of the recent research areas in Human Motion Analysis. Numerous moves are performed incorrectly during the performance. In this paper we offer a system that will record the Players’ movements using IR (Infrared) camera sensor, store the data in a database, pre-p...

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Detalles Bibliográficos
Autores principales: Emad, Bassel, Atef, Omar, Shams, Yehya, El-Kerdany, Ahmed, Shorim, Nada, Nabil, Ayman, Atia, Ayman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7409737/
https://www.ncbi.nlm.nih.gov/pubmed/32834878
http://dx.doi.org/10.1016/j.procs.2020.07.024
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author Emad, Bassel
Atef, Omar
Shams, Yehya
El-Kerdany, Ahmed
Shorim, Nada
Nabil, Ayman
Atia, Ayman
author_facet Emad, Bassel
Atef, Omar
Shams, Yehya
El-Kerdany, Ahmed
Shorim, Nada
Nabil, Ayman
Atia, Ayman
author_sort Emad, Bassel
collection PubMed
description Smart coaching in martial arts is one of the recent research areas in Human Motion Analysis. Numerous moves are performed incorrectly during the performance. In this paper we offer a system that will record the Players’ movements using IR (Infrared) camera sensor, store the data in a database, pre-process the data, classify the data using F-DTW (Fast Dynamic Time Warping) and then show the users an accurate report that contains every movement the player had done, their mistakes and how to improve their performance the next time. This approach focuses on the first seven movements of Karate Kata 1 (Hein Shodan). The system has reached an accuracy of 91.07% in classifying the moves and one common mistake for each move.
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spelling pubmed-74097372020-08-07 iKarate: Karate Kata Guidance System Emad, Bassel Atef, Omar Shams, Yehya El-Kerdany, Ahmed Shorim, Nada Nabil, Ayman Atia, Ayman Procedia Comput Sci Article Smart coaching in martial arts is one of the recent research areas in Human Motion Analysis. Numerous moves are performed incorrectly during the performance. In this paper we offer a system that will record the Players’ movements using IR (Infrared) camera sensor, store the data in a database, pre-process the data, classify the data using F-DTW (Fast Dynamic Time Warping) and then show the users an accurate report that contains every movement the player had done, their mistakes and how to improve their performance the next time. This approach focuses on the first seven movements of Karate Kata 1 (Hein Shodan). The system has reached an accuracy of 91.07% in classifying the moves and one common mistake for each move. The Author(s). Published by Elsevier B.V. 2020 2020-08-06 /pmc/articles/PMC7409737/ /pubmed/32834878 http://dx.doi.org/10.1016/j.procs.2020.07.024 Text en © 2020 The Author(s). Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Emad, Bassel
Atef, Omar
Shams, Yehya
El-Kerdany, Ahmed
Shorim, Nada
Nabil, Ayman
Atia, Ayman
iKarate: Karate Kata Guidance System
title iKarate: Karate Kata Guidance System
title_full iKarate: Karate Kata Guidance System
title_fullStr iKarate: Karate Kata Guidance System
title_full_unstemmed iKarate: Karate Kata Guidance System
title_short iKarate: Karate Kata Guidance System
title_sort ikarate: karate kata guidance system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7409737/
https://www.ncbi.nlm.nih.gov/pubmed/32834878
http://dx.doi.org/10.1016/j.procs.2020.07.024
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