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Updated: May 25, 2026
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A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
Published on: April 12, 2016
Development and evaluation of low cost game-based balance rehabilitation tool using the Microsoft Kinect sensor
Belinda Lange1, Chien-Yen Chang, Evan Suma
1Institute for Creative Technologies, University of Southern California, Los Angeles, CA 90092, USA. lange@ ict.usc.edu
Summary
This study developed a novel game-based rehabilitation tool using depth-sensing cameras for accurate full-body tracking. It aims to improve balance training for adults with neurological injuries.
Area of Science:
- Rehabilitation Technology
- Biomedical Engineering
- Neuroscience
Background:
- Commercial video games like Nintendo WiiFit show promise for physical therapy.
- Current motion tracking controllers lack sensitivity and accuracy for comprehensive balance assessment.
- Players can exploit limitations of existing trackers, compromising rehabilitation effectiveness.
Purpose of the Study:
- To develop and evaluate an interactive game-based tool for balance training.
- To address limitations of current motion tracking in physical rehabilitation.
- To leverage new depth-sensing camera technology for markerless full-body tracking.
Main Methods:
- Utilized commercial video game technology advancements.
- Integrated low-cost depth-sensing cameras for markerless full-body tracking.
- Developed applications for full-body control of virtual characters in a PC environment.
Main Results:
- Successfully developed a functional interactive game-based rehabilitation tool.
- Demonstrated the feasibility of using depth-sensing cameras for accurate tracking.
- The system allows for precise feedback on balance performance.
Conclusions:
- The developed tool offers a promising approach for balance training in adults with neurological injury.
- Markerless full-body tracking with depth-sensing cameras enhances rehabilitation accuracy.
- Game-based rehabilitation with advanced tracking can improve patient outcomes.
