Sofia
Arvelo Rojas
IMU Position Optimization for Gait Detection at Varying Walking Speeds
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Authors:
Sofia Arvelo Rojas
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About Paper:
Optical motion capture and force plates are the gold standard for quantitatively assessing gait, but these technologies are confined to laboratory spaces which prevents the collection of data from patients in unsupervised real-world environments. The aim of the study is to (1) assess the impact of inertial measurement unit (IMU) placement on the accuracy of gait event detection and (2) determine if walking speed affects the accuracy of event detection. Angular velocity was collected using IMU placed in 8 locations of the right leg while participants walked at 6 different speeds. Gait parameters were derived using a novel algorithm to determine heel strike (HS) and toe-off (TO) events from the angular velocity signal along the sagittal plane. We computed the difference between the HS and TO timing measured by the force plate and IMU. Preliminary results show that the accuracy of event detection increases as the walking speed increases (mean difference for TO at 0.2m/s and 1.2m/s is 51ms and 31ms, respectively) and IMUs placed below the knee are more accurate than those placed above the knee with the current algorithm. The algorithm will need further development to recognize gait patterns for IMU's above the knee. 479
Source:
University of Florida / 2024
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Co-authors:
Sofia Arvelo Rojas