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Treadmill-to-Overground Mapping of Marker Trajectory for Treadmill-Based Continuous Gait Analysis
Woo Chang Jung1, Jung Keun Lee1
1Inertial Motion Capture Lab, School of ICT, Robotics & Mechanical Engineering, Hankyong National University, 327 Jungang-ro, Anseong 17579, Gyeonggi, Korea.
This study introduces a novel treadmill-to-overground mapping method for continuous gait analysis. The technique accurately converts treadmill walking data into overground motion trajectories without time normalization, improving gait research.
Area of Science:
- Biomechanics
- Motion Capture Technology
- Gait Analysis
Background:
- Traditional treadmill gait analysis relies on gait cycle percentages.
- Continuous walking motion trajectories without time normalization are often needed.
- Marker-based optical motion capture systems have limited workspace.
Discussion:
- A virtual origin concept is proposed to map treadmill marker trajectories to overground equivalents.
- This method enables direct observation of physical quantity changes during treadmill walking.
- It facilitates the generation of overground-mapped gait data for validating other motion tracking systems.
Key Insights:
- The proposed treadmill-to-overground mapping method achieves high accuracy.
- Verified treadmill walking tests demonstrated an average total travel displacement error rate of 0.32%.
- This technique allows for continuous, time-normalized gait analysis under simulated overground conditions.
Outlook:
- Potential for enhanced accuracy in inertial-measurement-unit-based trajectory estimation.
- Facilitates more realistic gait simulations and analyses in constrained laboratory environments.
- Opens avenues for advanced research in human locomotion and rehabilitation studies.
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