Jennifer Holbein – Assistant Professor, Kinesiology
3D Motion capture (mocap) is the process of recording the movement of objects or people. With improvement of precision and accessibility of motion tracking, an increasing number researchers are taking advantage of these technologies to study human body movement in multiple contexts. The motion data technology has been at the center of many research experiments with gait analysis, music cognition, dance studies, and behavioral sciences but is now used widely by VFX studios, sports therapists, neuroscientists, and for validation and control of computer vision and robotics.
Having access to real-time motion data has allowed our Kinesiology research team to experiment with fall prevention interactions based on functional body movement and gait. Providing easy access to motion descriptors computed in real-time from motion capture data has allowed for repeatable and reliable measures. We use specific modules which provides a finished report in an easy and streamlined workflow from the data collection. For this project, the 3D motion capture system is being used as a pre/post assessments to a newly developed physical therapy based fall prevention intervention. The team is currently conducting rigorous validation of the gait module as a feasible tool and is empirically evaluating key assumptions in the interpretation and use of assessment scores.
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Kinesiology Research |
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3D Motion Capture system |
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