Telerehabilitation is a promising solution to ensure continuity of care for people with disabilities by delivering rehabilitation services directly in their homes or other familiar environments. This paper introduces a method for assessing movement execution during telerehabilitation sessions, offering effective support to clinicians during remote monitoring. This approach uses the 3D coordinates of the body joints provided by Microsoft Kinect to evaluate movement based on joint positions and angles. The proposed method identifies key deviations from expected movement patterns and generates graphical feedback to support the clinical evaluation of patients' performance. This system has been validated using the IntelliRehabDS dataset, which includes rehabilitation exercises designed for different pathologies. Preliminary results demonstrate the system's ability to detect deviations from the reference movement pattern, highlighting its potential as a practical tool to enhance remote rehabilitation monitoring.

Remote Monitoring of Rehabilitation Exercises Through Motion Assessment

Basile, Ilaria
;
Sannino, Giovanna
2025

Abstract

Telerehabilitation is a promising solution to ensure continuity of care for people with disabilities by delivering rehabilitation services directly in their homes or other familiar environments. This paper introduces a method for assessing movement execution during telerehabilitation sessions, offering effective support to clinicians during remote monitoring. This approach uses the 3D coordinates of the body joints provided by Microsoft Kinect to evaluate movement based on joint positions and angles. The proposed method identifies key deviations from expected movement patterns and generates graphical feedback to support the clinical evaluation of patients' performance. This system has been validated using the IntelliRehabDS dataset, which includes rehabilitation exercises designed for different pathologies. Preliminary results demonstrate the system's ability to detect deviations from the reference movement pattern, highlighting its potential as a practical tool to enhance remote rehabilitation monitoring.
2025
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR - Sede Secondaria Napoli
Decision support systems
Microsoft Kinect
Motion analysis
Telemedicine
Telerehabilitation
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/559708
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