Community-Based Motion Analysis

Addressing the broader research questions that we are interested in requires that we describe and characterize movement mechanics, particularly related to pathologic risk and disparities, with a diverse and intersectional perspective. Such descriptions rely on collection of large and diverse datasets to inform well-powered intersectional analyses. Traditional motion analysis approaches are time-consuming, broadly inaccessible, and prone to recruitment bias; these limitations are particularly problematic for our goal to collect large and diverse datasets. To combat these limitations, our lab will use alternative methods that enable quantification of movement mechanics outside of a research lab and in clinical or community-based settings. We are working to develop a portable community-based data collection protocol to enable evaluation of movement mechanics using a combination of markerless motion capture, plantar pressure/force sensing insoles, inertial measurement units, and electromyography. In addition to enabling collection of larger datasets, clinical and community-based data collection will make our work accessible to populations that are traditionally underrepresented in biomechanics research and will support establishment of community relationships, a crucial component in performing equity-driven research. This is an important step in broadening the positive potential for our research impact while deepening our fundamental knowledge of movement mechanics, motor control, and associated risk profiles.

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