HAND MOVEMENT DISORDERS TRACKING BY SMARTPHONE BASED ON COMPUTER VISION METHODS
ŚLEDZENIE ZABURZEŃ RUCHU DŁONI ZA POMOCĄ SMARTFONA W OPARCIU O METODY WIZJI KOMPUTEROWEJ
Andrushchenko M. Selivanova K. Avrunin O. Palii D. Tymchyk S. Turlykozhayeva D.
2024Politechnika Lubelska
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Srodowiska
2024#14Issue 25 - 10 pp.
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.
artificial intelligence , computer vision , healthcare , image analysis , information medical technologies , motion disorders
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Kharkiv National University of Radio Electronics, Department of Biomedical Engineering, Kharkiv, Ukraine
National Pirogov Memorial Medical University, Vinnytsya, Ukraine
Vinnytsia National Technical University, Vinnytsia, Ukraine
Al-Farabi Kazakh National University, Scientific Research Institute of Experimental and Theoretical Physics, Almaty, Kazakhstan
Kharkiv National University of Radio Electronics
National Pirogov Memorial Medical University
Vinnytsia National Technical University
Al-Farabi Kazakh National University
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026