Validity of OpenCap to Identify Marker Locations on the Lower Limb

Advisor(s)

Dr. Louis DiBerardino

Confirmation

1

Document Type

Poster

Location

ONU McIntosh Center; Activities Room

Start Date

11-4-2025 10:00 AM

End Date

11-4-2025 10:50 AM

Abstract

Markerless motion capture provides an accessible, cost-effective, and efficient alternative for assessing biomechanics, and can broaden accessibility to those previously constrained by the high cost and equipment requirements of marker-based technologies. While previous research has primarily focused on joint angle and relative motion validation using OpenCap, this study aims to assess the system’s accuracy in identifying lower-limb marker locations. Knee and ankle position data were captured simultaneously using a three-dimensional motion capture system and OpenCap during a squat and a walk. Results were compared visually, and RMS error was calculated. OpenCap performed well during the squat, but issues arose during the walking trial. Based on the results, OpenCap is well suited for “stationary” tasks near its origin but may not be suitable for tasks such as gait without further data corrections.

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Apr 11th, 10:00 AM Apr 11th, 10:50 AM

Validity of OpenCap to Identify Marker Locations on the Lower Limb

ONU McIntosh Center; Activities Room

Markerless motion capture provides an accessible, cost-effective, and efficient alternative for assessing biomechanics, and can broaden accessibility to those previously constrained by the high cost and equipment requirements of marker-based technologies. While previous research has primarily focused on joint angle and relative motion validation using OpenCap, this study aims to assess the system’s accuracy in identifying lower-limb marker locations. Knee and ankle position data were captured simultaneously using a three-dimensional motion capture system and OpenCap during a squat and a walk. Results were compared visually, and RMS error was calculated. OpenCap performed well during the squat, but issues arose during the walking trial. Based on the results, OpenCap is well suited for “stationary” tasks near its origin but may not be suitable for tasks such as gait without further data corrections.