Development of a Mobile Application for Musculoskeletal Rehabilitation Based on Computer Vision and Inertial Navigation Technologies

Monitoring the process of musculoskeletal rehabilitation is of great importance for ensuring a person’s health after suffering from illnesses, especially during the outpatient period when medical supervision is absent. The aim of this study is to create an accessible tool (a mobile application) that allows for the monitoring of the execution of musculoskeletal rehabilitation exercises. To achieve this goal, the architecture of a mobile application has been developed, along with its functioning algorithm, and the methods for processing information from two tracking systems (inertial navigation and computer vision) have been examined to assess the quality of performed exercises. During the experimental research, procedures for processing data from mobile inertial navigation sensors were refined, a solution to the classification task of musculoskeletal rehabilitation exercises was explored (with an accuracy of 93–100%), and prototyping of the mobile application was carried out. The results obtained can be used for evaluating outpatient rehabilitation and as a basis for more complex and functional mobile systems for musculoskeletal rehabilitation.