Miqus hybrid video cameras to integrate markerless motion tracking into a state-of-art motion analysis laboratory

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The technology and equipment requested in the current RTI grant is necessary to support and enhance two NSERC Discovery Grant projects: "Contributions of lower extremity musculature to hip and knee joint co-ordination, stability, and regional tissue mechanics" (Dr. Timothy Burkhart [PI]); and, "The planning and control of movements in social contexts" (Dr. Timothy Welsh [Co-I]). A Miqus hybrid camera system, composed of eight cameras, Manfrotto Tripods, a designated computer and accessories, is needed to quantify the fundamental mechanisms of human motion and coordination. People rely on joint stability, coordination, and motor learning to move around in their daily lives. But there are relationships between the motions of the different joints and complex nervous and muscle system conditions that affect motion. To solve this problem, motion data, force data, and muscle activation patterns have to be collected and analyzed accurately. Recent advances in artificial intelligence have led to the development of markerless motion tracking systems, that are less time consuming and more portable than traditional motion analysis methods. We need to acquire a special set of cameras to allow for synchronization with force, electromyography (EMG), and other data types. The research objectives include: Objective 1- quantify the individual muscle contributions to knee and hip joint motion and stability: Motion profiles will be collected synchronously with six-degree-of-freedom force plate and multi-muscle EMG in response to a variety of tasks. In addition to quantifying joint coupling and function curves, the individual muscle contributions to joint stability and kinematics will be calculated. The data will be integrated into a validated musculoskeletal model to calculate the muscle forces. Objective 2- Understand the processes underlying the prediction of the actions of a co-actor. The requested technology will enable the integration of eye-tracking data and will eliminate concerns of volume and line-of-sight to allow expanded investigations of action coordination and related phenomena (including procrastination in joint action) using full body tasks involving walking. The primary purpose of this researc is to provide a more thorough and inclusive understanding of the underlying mechanisms of human motion. This work is essential to identifying strategies to reduce the risk of injury and musculoskeletal disease in Canada and improve activity performance. Our long-term vision is that this information will be used to develop more effective injury reduction, treatment, and rehabilitation strategies, that will improve quality life of the general Canadian population and will result in reduced health-care costs.