HAND MOVEMENT DISORDERS TRACKING BY SMARTPHONE BASED ON COMPUTER VISION METHODS

Marko Andrushchenko

marko.andrushchenko@nure.ua
Kharkiv National University of Radio Electronics (Ukraine)
https://orcid.org/0000-0003-1722-2390

Karina Selivanova


Kharkiv National University of Radio Electronics (Ukraine)

Oleg Avrunin


Kharkiv National University of Radio Electronics (Ukraine)
https://orcid.org/0000-0002-6312-687X

Dmytro Palii


National Pirogov Memorial Medical University (Ukraine)
https://orcid.org/0000-0001-6537-6912

Sergii Tymchyk


Vinnytsia National Technical University (Ukraine)
https://orcid.org/0000-0003-2977-1602

Dana Turlykozhayeva


Al-Farabi Kazakh National University, Scientific Research Institute of Experimental and Theoretical Physics (Kazakhstan)
https://orcid.org/0000-0002-7326-9196

Abstract

This article describes the development of a cost-effective, efficient, and accessible solution for diagnosing hand movement disorders using smartphone-based computer vision technologies. It highlights the idea of using ToF camera data combined with RG data and machine learning algorithms to accurately recognize limbs and movements, which overcomes the limitations of traditional motion recognition methods, improving rehabilitation and reducing the high cost of professional medical equipment. Using the ubiquity of smartphones and advanced computational methods, the study offers a new approach to improving the quality and accessibility of diagnosis of movement disorders, offering a promising direction for future research and application in clinical practice.


Keywords:

healthcare, information medical technologies, image analysis, computer vision, artificial intelligence, motion disorders

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Published
2024-06-30

Cited by

Andrushchenko, M., Selivanova, K., Avrunin, O., Palii, D., Tymchyk , S., & Turlykozhayeva, D. (2024). HAND MOVEMENT DISORDERS TRACKING BY SMARTPHONE BASED ON COMPUTER VISION METHODS. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 14(2), 5–10. https://doi.org/10.35784/iapgos.6126

Authors

Marko Andrushchenko 
marko.andrushchenko@nure.ua
Kharkiv National University of Radio Electronics Ukraine
https://orcid.org/0000-0003-1722-2390

Authors

Karina Selivanova 

Kharkiv National University of Radio Electronics Ukraine

Authors

Oleg Avrunin 

Kharkiv National University of Radio Electronics Ukraine
https://orcid.org/0000-0002-6312-687X

Authors

Dmytro Palii 

National Pirogov Memorial Medical University Ukraine
https://orcid.org/0000-0001-6537-6912

Authors

Sergii Tymchyk  

Vinnytsia National Technical University Ukraine
https://orcid.org/0000-0003-2977-1602

Authors

Dana Turlykozhayeva 

Al-Farabi Kazakh National University, Scientific Research Institute of Experimental and Theoretical Physics Kazakhstan
https://orcid.org/0000-0002-7326-9196

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