SHB: Type I (EXP): High Accuracy Motion Analysis using Commodity Depth Camera for Clinical Lower-Extremity Assessment

物理疗法已被广泛用于治疗各种疾病，从残疾、损伤到致残性疾病，如关节炎、腰痛或脑瘫。物理治疗的一个核心问题是评估病人的运动表现。随着技术的进步，物理治疗师现在可以利用商业动作捕捉（mocap）系统来量化他们治疗的许多疾病的常见3D力学。三维运动学反馈使诊断更准确，进展更快。不幸的是，目前测量3D运动的技术是昂贵的，笨重的，并且不能广泛应用于物理治疗师。因此，迫切需要开发一种便携式、低成本的动作捕捉系统，为物理治疗师提供运动功能障碍的精确3D测量。本研究旨在利用单个深度相机（SDC）的深度信息来捕获与商业动作捕捉系统相当的高精度运动数据。虽然基于深度摄像头的姿势跟踪解决方案已经存在，比如微软的Kinect系统，但医疗评估对精确度的要求几乎比数字娱乐高一个数量级。基于之前的医学研究，本项目的目标是实现定位误差小于10mm，角度误差小于1度。这比当前的SDC动态捕捉技术好4到10倍。在这个项目的范围内，将开发一个新的运动捕捉框架，并对其医疗应用进行全面评估，特别是帮助医生、物理治疗师和其他医疗专业人员诊断、治疗和监测下肢运动障碍患者。

AbstractPhysical therapy has been widely adopted to treat a wide range of medical conditions, from disabilities, injuries, to crippling diseases such as arthritis, lower back pain, or cerebral palsy. A central issue in physical therapy is the assessment of a patient's kinematic performance. With technology advancement, physical therapists can now utilize commercial motion capture (mocap) system to quantify the 3D mechanics common to many conditions they treat. The 3D kinematic feedback leads to more accurate diagnosis and faster progression. Unfortunately the current state of the art for technology to measure 3D motion is expensive, cumbersome, and not widely available to physical therapists. Thus a strong need remains for the development of a portable, low cost, mocap system to give physical therapists precise 3D measurements of movement dysfunction. This research aims to use the depth information from a single depth camera (SDC) to capture high-accuracy motion data comparable to that from a commercial mocap system. While depth-camera-based pose tracking solutions exist, such as the Kinect system from Microsoft, medical assessment demands almost an order-high accuracy than that for digital entertainment. Based on prior medical studies, this project's goal is to achieve a positional error of less than 10mm and angular error less than 1 degree. That is four to 10 times better than the current state of the art in SDC mocap. For the scope of this project, a new motion capture framework will be developed and thoroughly evaluated for medical applications, in particular to help physician, physical therapists, and other medical professionals to diagnosis, treat, and monitor patients with movement disorders in the lower-extremity.