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

Modern Sport Journal

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