PFI:AIR-TT: Kinect-Based Low-Cost Motion Analysis System for Medical Applications

该PFI：AIR技术翻译项目专注于翻译创新的单视图运动捕捉技术，以满足医疗专业人员量化患者的需求。的身体运动。 这种单视图运动捕捉系统很重要，因为它将是一种变革性的技术改进，可供医生和物理治疗师诊断，治疗和监测患有运动障碍的患者。该项目将产生一个原型系统，为潜在客户和投资者提供现场演示。这个原型系统将由一个Kinect摄像头和一台笔记本电脑组成。它将采集运动数据，接近实时地处理数据，并为患者和临床医生提供视觉反馈。特别是，临床医生的性能指标在解剖学上是正确和准确的，因此可以量化治疗运动功能障碍的进展。 与当今市场上领先的运动捕捉系统相比，该项目将带来一种便携式、低成本的单摄像头系统，为医疗专业人员提供在任何环境下准确、精确的运动功能障碍3D测量。该项目解决了从研究发现到商业应用的以下技术差距。首先是需要自动识别输入数据中的人体测量标志，以定义解剖学上正确的坐标系。一种新的数据驱动的方法将被研究。二是需要实现更快的处理速度，巩固处理流水线。将实施简化的跟踪算法和代码优化，以实现所需的实时性能。此外，参与该项目的人员，特别是研究生和本科生，不仅将在整个研发周期中获得创新经验，还将通过业务发展活动培养他们的创业精神。

This PFI: AIR Technology Translation project focuses on translating innovative single-view motion capture technology to fill the need of medical professionals to quantify a patient?s body movement. This single-view motion capture system is important because it will be a transformational technological improvement that is available to physicians and physical therapists to diagnosis, treat, and monitor patients with a movement disorder. The project will result in a prototype system that will provide a live demonstration to potential customers and investors. This prototype system will consist of a single Kinect camera and a laptop. It will acquire motion data, process the data close to real-time, and provide visual feedback to the patients as well as the clinicians. In particular the performance measures for the clinicians will be anatomically correct and accurate so progress in treating movement dysfunction can be quantified. Compared to the leading motion capture system in the market place today, this project will lead to a portable, low-cost single-camera system that will give medical professionals accurate and precise 3D measurements of movement dysfunction in any environment. This project addresses the following technology gaps as it translates from research discovery toward commercial application. The first and foremost is the need to automatically identify anthropometric landmarks in the input data to define an anatomically correct coordinate system. A novel data-driven method is to going to be investigated. The second is the need to achieve faster processing speed and consolidate the processing pipeline. Simplified tracking algorithm and code optimization will be implemented to achieve the required real-time performance. In addition, personnel involved in this project, in particular both graduate and undergraduate students, will not only receive innovation experiences throughout the research and development cycles, but also cultivate their entrepreneurship through the business development activities.