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Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults
Published on: November 7, 2014
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Evaluating the Accuracy of Virtual Reality Trackers for Computing Spatiotemporal Gait Parameters
Michelangelo Guaitolini1,2, Fitsum E Petros3, Antonio Prado3
1The BioRobotics Institute, Scuola Superiore Sant'Anna, 56127 Pisa, Italy.
Sensors (Basel, Switzerland)
|June 2, 2021
Summary
Virtual reality (VR) systems can accurately analyze gait, offering a new perspective for clinical care. This study validated a VIVE VR system against traditional methods, showing promising results for gait analysis.
Area of Science:
- Biomechanics
- Human Movement Analysis
- Virtual Reality Technology
Background:
- Movement dysfunctions due to aging, disease, or injury significantly impact daily life.
- Gait analysis is crucial for understanding and evaluating these dysfunctions.
- Virtual reality (VR) is increasingly used in motion observation and clinical care, but its validity for gait analysis needs establishment.
Purpose of the Study:
- To test the accuracy and viability of a VIVE Virtual Reality system for gait analysis.
- To compare VR-based gait analysis with traditional instrumented walkway methods.
- To assess the potential of VR for augmented gait analysis in clinical settings.
Main Methods:
- A VIVE Virtual Reality system with trackers was used for gait analysis.
- Seven healthy young subjects walked on an instrumented walkway while wearing VR trackers.
- Key gait events (Heel Strike, Toe Off) and parameters (stride length, time, width, velocity, stance/swing percentages) were measured by both VR and walkway systems.
Main Results:
- The VIVE VR system demonstrated an absolute offset of (15.3 ± 12.8) ms for Heel Strike and (17.6 ± 14.8) ms for Toe Off events.
- Root Mean Square Error (RMSE) values were 2.6 cm for stride width, 2.0 cm for stride length, 17.4 ms for stride time, 2.2 m/s for stride velocity, and 2.1% for stance/swing percentage.
- These results indicate a high degree of accuracy when comparing VR data to the instrumented walkway.
Conclusions:
- VR-based systems, specifically the VIVE system tested, can accurately monitor gait parameters.
- The findings support the viability of VR technology for gait analysis, offering a novel approach.
- VR augmented analysis holds potential for enhanced clinical evaluation of movement dysfunctions.

