Development of a mobile application for testing fine motor skills disorders
Marko Andrushchenko
Kharkiv National University of Radio Electronics, Department of Biomedical Engineering (Ukraine)
https://orcid.org/0000-0003-1722-2390
Karina Selivanova
Kharkiv National University of Radio Electronics, Department of Biomedical Engineering (Ukraine)
Oleg Avrunin
Kharkiv National University of Radio Electronics, Department of Biomedical Engineering (Ukraine)
https://orcid.org/0000-0002-6312-687X
Alla Kraievska
kraevska@vntu.edu.uaVinnytsia National Technical University (Ukraine)
https://orcid.org/0000-0003-2812-6986
Orken Mamyrbayev
Kazakh National Technical University named after K.I. Satbayev (Kazakhstan)
https://orcid.org/0000-0001-8318-3794
Kymbat Momynzhanova
Kazakh National University, Faculty of Information Technology (Kazakhstan)
https://orcid.org/0000-0002-9981-5706
Abstract
The purpose of the article is development of a mobile application to test graphic skills and disorders of fine motor skills determination. Many techniques are used to test fine motor skills, including drawing, cutting, folding, creating compositions from various materials, and more. However, using digital devices to test fine motor skills will be automatic, useful, and helpful. Digital devices such as sensor and graphic tablets, sensors, digitizers, and smartphones can provide accurate measurements of reaction times and movement speed, and allow real-time data to be recorded and analyzed. A cross-platform tool was developed to test basic graphic skills and level of fine motor skills development. The algorithm for the determination of the graphic abilities of users is based on the Frechette discrete distance formula, which allows measuring the deviation of an experimental figure from the etalon figure. Experimental results were conducted at the laboratory of 3D biomedical technologies of the Department of Biomedical Engineering of Kharkiv National University of Radio Electronics. The application is designed to analyze graphic skills through a series of exercises that test various skills, such as drawing, shading, and coloring shapes.
Keywords:
healthcare, motor disorders detection, cross-platform development, digital healthcare tools, graphic motion analysis, mobile applicationReferences
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Authors
Marko AndrushchenkoKharkiv National University of Radio Electronics, Department of Biomedical Engineering Ukraine
https://orcid.org/0000-0003-1722-2390
Authors
Karina SelivanovaKharkiv National University of Radio Electronics, Department of Biomedical Engineering Ukraine
Authors
Oleg AvruninKharkiv National University of Radio Electronics, Department of Biomedical Engineering Ukraine
https://orcid.org/0000-0002-6312-687X
Authors
Alla Kraievskakraevska@vntu.edu.ua
Vinnytsia National Technical University Ukraine
https://orcid.org/0000-0003-2812-6986
Authors
Orken MamyrbayevKazakh National Technical University named after K.I. Satbayev Kazakhstan
https://orcid.org/0000-0001-8318-3794
Authors
Kymbat MomynzhanovaKazakh National University, Faculty of Information Technology Kazakhstan
https://orcid.org/0000-0002-9981-5706
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