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

目前的RTI拨款中所要求的技术和设备是支持和加强两个NSERC发现拨款项目所必需的：“腿部肌肉对髋关节和膝关节协调、稳定性和区域组织力学的贡献”(Timothy Burkhart博士[Pi])；以及“社会背景下运动的规划和控制”(Timothy Welsh博士[Co-i])。为了量化人类运动和协调的基本机制，需要一个由8个摄像头、Manfortto Tripods、指定的计算机和附件组成的Miqus混合相机系统。人们在日常生活中依靠关节的稳定性、协调性和运动能力来四处走动。但不同关节的运动与影响运动的复杂神经和肌肉系统状况之间存在关系。为了解决这个问题，必须准确地收集和分析运动数据、力数据和肌肉激活模式。人工智能的最新进展导致了无标记运动跟踪系统的发展，与传统的运动分析方法相比，这种系统耗时更少，更便携。我们需要一套特殊的摄像头，以实现与力、肌电(EMG)和其他数据类型的同步。研究目标包括：目标1-量化个体肌肉对膝关节和髋关节运动和稳定性的贡献：通过六自由度测力板和多肌肉肌电同步采集响应各种任务的运动轮廓。除了量化关节耦合和功能曲线，还将计算单个肌肉对关节稳定性和运动学的贡献。这些数据将被整合到一个经过验证的肌肉骨骼模型中，以计算肌肉力量。目标2--了解共同行为者行为预测的基本过程。所要求的技术将能够整合眼球跟踪数据，并将消除对体积和视线的担忧，以便能够利用涉及行走的全身任务扩大对行动协调和相关现象(包括联合行动中的拖延)的调查。这项研究的主要目的是对人类运动的潜在机制提供更全面和更全面的理解。这项工作对于确定在加拿大减少受伤和肌肉骨骼疾病风险并提高活动绩效的战略至关重要。我们的长期愿景是，这些信息将被用于制定更有效的减少伤害、治疗和康复战略，这将改善普通加拿大人的生活质量，并将导致降低医疗保健成本。

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.