New range camera models for dynamic measurement

人体运动的捕捉和后续分析系统是许多领域的重要工具。它们的功能是捕获人体主体进行某些运动的几何信息，从中可以推断出肌肉和关节力等生物力学参数。这些又被用来帮助临床诊断，提供对人体运动过程更合理的理解或提高表现。存在许多应用，包括但不限于：人类步态分析（正常和病理）；假肢和矫形器的设计；病人康复;背部形状和脊柱运动测量；关节力学;人体工程学设计;人类监测;娱乐（游戏，电影）和运动科学提高运动员的表现。目前在医疗、体育和娱乐领域使用的系统需要放置侵入性标记，在视频摄像机系统或电子传感器（有线或无线）的情况下。这些可能会使收集的数据产生偏差，并由于固有的皮肤运动而导致不正确的结论，并可能导致受试者进行不自然的运动。此外，它们的安装非常耗时。本研究旨在利用3D测距相机技术创建无标记人体运动测量的新范例。新的计算机处理算法将被开发出来，从3D相机数据中确定人体运动参数，而不依赖于侵入性标记或设备的放置。研究结果将提高动作捕捉系统的易用性。

Systems for the capture and subsequent analysis of human motion are important tools in numerous fields. Their function is to capture geometric information about a human subject performing some motion from which biomechanical parameters such as muscle and joint forces can be inferred. These are in turn used to aid in clinical diagnoses, to provide a more sound understanding of a human movement process or to improve performance. Numerous applications exist that include but are not limited to: the analysis of human gait (both normal and pathological); the design of prosthetics and orthotics; patient rehabilitation; back shape and spinal motion measurement; joint mechanics; ergonomic design; human surveillance; entertainment (gaming, movies) and sports science to improve athlete performance.Current systems used in the medical, sport and entertainment spaces require the placement of invasive markers, in the case of video camera systems, or electronic sensors (wired or wireless).These can bias the collected data and lead to incorrect conclusions due to inherent skin movement and can cause the subject to perform unnatural movements. Furthermore their installation is very time consuming. This research aims to create a new paradigm in markerless human motion measurement using 3D range camera technology. New computer processing algorithms will be developed to determine the human motion parameters from the 3D camera data without relying upon the placement of invasive markers or devices. The results will improve the ease of use of motion capture systems.