Evaluation of Human Basic Movement Systems Based on Artificial Intelligence

Authors

  • Fayzullaev Bekhzod Bakhtiyorovich Named after Muhammad al-Khwarizmi Tashkent Information Technologies university students
  • Anarkulova Rano Oybek qizi Named after Muhammad al-Khwarizmi Tashkent Information Technologies university students
  • Jovliev Abbasjon Mirmukhsin ogli Named after Muhammad al-Khwarizmi Tashkent Information Technologies university students

Keywords:

Artificial Intelligence, Deep Blue, IBM Computer

Abstract

One of the fastest growing areas today is artificial intelligence. This article gives a brief overview of the assessment of human locomotor systems based on artificial intelligence. Today, information technology is developing rapidly in our lives.

References

Vonsevych, Kostiantyn, et al. "Fingers movements control system based on artificial neural network model." Radioelectronics and Communications Systems 62.1 (2019): 23-33.

Prakash, Chandra, Rajesh Kumar, and Namita Mittal. "Recent developments in human gait research: parameters, approaches, applications, machine learning techniques, datasets and challenges." Artificial Intelligence Review 49.1 (2018): 1-40.

Glikson, Ella, and Anita Williams Woolley. "Human trust in artificial intelligence: Review of empirical research." Academy of Management Annals 14.2 (2020): 627-660.

Novatchkov, Hristo, and Arnold Baca. "Artificial intelligence in sports on the example of weight training." Journal of sports science & medicine 12.1 (2013): 27.

Kamble, Rupali, and Deepali Shah. "Applications of artificial intelligence in human life." International Journal of Research–Granthaalayah 6.6 (2018): 178-188

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Published

2022-05-30

Issue

Vol. 8 (2022): TJM

Section

Articles

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How to Cite

Evaluation of Human Basic Movement Systems Based on Artificial Intelligence. (2022). Texas Journal of Multidisciplinary Studies, 8, 265-266. https://zienjournals.com/index.php/tjm/article/view/1838