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Summary

This summary is machine-generated.

This study compared motion tracking systems for stroke rehabilitation. MediaPipe demonstrated high alignment with Kinect, offering a promising, low-cost alternative for assessing upper extremity movement quality.

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Area of Science:

Rehabilitation Engineering
Biomedical Signal Processing
Movement Science

Background:

Computer-based motion assessment systems aid stroke survivors' home rehabilitation.
Developing engaging, low-cost, and minimally complex systems is crucial for widespread adoption.
Accurate assessment of upper extremity (UE) movement quality is vital for effective stroke recovery.

Purpose of the Study:

To compare the accuracy of OpenPose and MediaPipe skeleton tracking for UE quality of movement assessment in stroke survivors against the Microsoft Kinect.
To evaluate the feasibility of using OpenPose and MediaPipe as alternatives to Kinect for telerehabilitation.

Main Methods:

A dataset of 15 stroke survivors performing rehabilitation exercises was collected.
Three skeleton tracking systems (Microsoft Kinect, OpenPose, MediaPipe) were utilized.
Root Mean Squared Error (RMSE) was computed to assess trajectory and kinematic variable alignment between systems.

Main Results:

MediaPipe World Landmarks showed high alignment with Kinect-based assessments.
OpenPose and MediaPipe data, when used with classification models, demonstrated accurate exercise performance assessment compared to Kinect.
Kinematic variable alignment indicated MediaPipe as a viable alternative to Kinect.

Conclusions:

MediaPipe presents a potential low-cost and effective alternative to Microsoft Kinect for upper extremity movement assessment in stroke rehabilitation.
Minimal technical setup systems like MediaPipe can support autonomous rehabilitation exercises for stroke survivors.
Further research should validate MediaPipe's efficacy across diverse stroke populations and exercise protocols.