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Related Experiment Video

Updated: May 28, 2026

Mobile Game-based Virtual Reality Program for Upper Extremity Stroke Rehabilitation
05:52

Mobile Game-based Virtual Reality Program for Upper Extremity Stroke Rehabilitation

Published on: March 8, 2018

AI-Based Exergaming as a Digital Assessment Tool for Post-Stroke Upper-Limb Function: Protocol for a Feasibility

Júlia Tannús de Souza1, Caroline Valentini de Queiroz1, Daniel Hilário da Silva1,2

  • 1Faculty of Electrical Engineering, Federal University of Uberlândia, Uberlândia, Brazil.

Physiotherapy Research International : the Journal for Researchers and Clinicians in Physical Therapy
|May 26, 2026
PubMed
Summary

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This summary is machine-generated.

A new computer vision exergame shows promise for assessing upper limb motor function in stroke survivors, correlating well with traditional clinical scores. This digital tool could enable scalable, remote rehabilitation and objective motor assessments.

Area of Science:

  • Neurorehabilitation
  • Digital Health
  • Biomedical Engineering

Background:

  • Accurate upper limb motor function assessment is crucial for stroke survivor rehabilitation.
  • The Fugl-Meyer Assessment for Upper Extremity (FMA-UE) is standard but time-consuming and variable.
  • Computer vision exergames offer a scalable, objective, and remote assessment alternative.

Purpose of the Study:

  • To evaluate the feasibility and preliminary validity of a computer vision-based exergame for assessing post-stroke upper limb motor function.
  • To investigate correlations between kinematic gameplay features and FMA-UE scores.
  • To establish the potential of this digital tool for remote and objective motor assessment.

Main Methods:

  • A cross-sectional pilot study involving 15-30 individuals with chronic stroke.

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Application of a Dual Upper Limb Task-Oriented Robotic System for the Functional Recovery of the Upper Limb in Stroke Patients
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Application of a Dual Upper Limb Task-Oriented Robotic System for the Functional Recovery of the Upper Limb in Stroke Patients

Published on: October 11, 2024

Related Experiment Videos

Last Updated: May 28, 2026

Mobile Game-based Virtual Reality Program for Upper Extremity Stroke Rehabilitation
05:52

Mobile Game-based Virtual Reality Program for Upper Extremity Stroke Rehabilitation

Published on: March 8, 2018

Application of a Dual Upper Limb Task-Oriented Robotic System for the Functional Recovery of the Upper Limb in Stroke Patients
05:28

Application of a Dual Upper Limb Task-Oriented Robotic System for the Functional Recovery of the Upper Limb in Stroke Patients

Published on: October 11, 2024

  • Participants engaged in a markerless camera-based exergame using MediaPipe hand tracking.
  • Kinematic features (range of motion, hand angle, jitter index) were extracted and correlated with FMA-UE scores.

    • Main Results:

    • Expected moderate to strong correlations between gameplay metrics (range of motion, jitter index) and FMA-UE scores.
    • Anticipated high usability scores (System Usability Scale) indicating feasibility.
    • Preliminary data suggests potential for objective and scalable motor assessment.

    Conclusions:

    • The computer vision exergame shows potential as an accessible tool for objective stroke rehabilitation assessment.
    • Validation could lead to reduced clinical workload and enable remote patient evaluations.
    • Future research will focus on test-retest reliability and home-based implementation.