Using artificial intelligence to evaluate skill performance of some karate skills
Joint Authors
Kzar, Mazin Hadi
al-Silmi, Abir Dakhil Hatim
Ghazi, Muhammad Asim Muhammad
Jawash, Haydar Nizar
Source
Issue
Vol. 21, Issue 1 (31 Mar. 2022), pp.1-7, 7 p.
Publisher
Baghdad University College of Physical Education and Sports Science for Girlsو
Publication Date
2022-03-31
Country of Publication
Iraq
No. of Pages
7
Main Subjects
Sports sciences and physical education
Topics
Abstract EN
Human beings are starting to benefit from the technology revolution that witness in our time.
where most researchers are trying to apply modern sciences in different areas of life to catch up on the benefits of these technologies.
the field of artificial intelligence is one of the sciences that simulate the human mind, and its applications have invaded human life.
the sports field is one of the areas that artificial intelligence has been introduced.
in this paper, artificial intelligence technology fast-DTW (fast-dynamic time warping) algorithm was used to assess the skill performance of some karate skills.
the results were shown that the percentage of improvement in the skill performance of Mai Geri is 100%.
American Psychological Association (APA)
Kzar, Mazin Hadi& Ghazi, Muhammad Asim Muhammad& al-Silmi, Abir Dakhil Hatim& Jawash, Haydar Nizar. 2022. Using artificial intelligence to evaluate skill performance of some karate skills. Modern Sport Journal،Vol. 21, no. 1, pp.1-7.
https://search.emarefa.net/detail/BIM-1340017
Modern Language Association (MLA)
Kzar, Mazin Hadi…[et al.]. Using artificial intelligence to evaluate skill performance of some karate skills. Modern Sport Journal Vol. 21, no. 1 (2022), pp.1-7.
https://search.emarefa.net/detail/BIM-1340017
American Medical Association (AMA)
Kzar, Mazin Hadi& Ghazi, Muhammad Asim Muhammad& al-Silmi, Abir Dakhil Hatim& Jawash, Haydar Nizar. Using artificial intelligence to evaluate skill performance of some karate skills. Modern Sport Journal. 2022. Vol. 21, no. 1, pp.1-7.
https://search.emarefa.net/detail/BIM-1340017
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 7
Record ID
BIM-1340017