Validation of an objective computerized-video Mobility Assessment Tool

计算机视觉技术已广泛应用于生物医学领域。在许多应用中，特别是在身体检测和运动跟踪方面，这种技术的效率和精度是首选。该项目的目标是完成改进的tinetti活动能力评估工具（MAT）的开发，以评估受伤受试者的活动能力恶化。这是对我们的非侵入性、独特的、纯粹客观的计算机视觉视频工具算法的验证。在约克大学电子工程与计算机科学系视觉研究中心Robert Allison博士最近为改进的Tinetti门/平衡测试的计算机化开发提供的资助下，该工具最近从原型开发为可操作产品。在项目的这个阶段，我们将通过比较我们自己的功能评估工具在患有脑震荡的年轻人中的表现来验证开发的产品。验证该设备的功能将使博士助理能够通过简单，精确和低成本的工具接近从业者（法律和医疗），以估计步态和平衡（活动）测量的跌倒风险和丧失能力。这项工作对医学运动学的进步很重要，这将影响加拿大在康复、诊断和功能评估领域的研究。MAT的另一个目标市场是人身伤害法和保险行业，这两个行业都将受益于对事故导致的功能活动进行简单、计算机化的快速评估。该项目是约克大学和PhD Associates的合作项目，预计项目持续时间为6个月。

Computer vision technologies have become widely employed in the biomedical domain. Such technology is preferred for efficiency and precision in many applications, especially for body detection and movement tracking. The objective of this project is to finalize development of the modified-Tinetti Mobility Assessment Tool (MAT) for assessment of mobility deterioration of injured subjects. This is a validation of the algorithms for our non-invasive, unique and purely objective computer vision video-tool. This tool was recently developed from a prototype to an operational product with assistance from a recent Engage grant for development of the computerization of the Modified Tinetti gate/balance test by Dr. Robert Allison at the York University Centre for Vision Research, Dept. of Electrical Engineering & Computer Science. In this phase of the project we will validate the developed product by comparing its performance with our own functional assessment tools in young adults who have suffered concussion. Validating the functionality of this device will allow PhD Associates to approach practitioners (legal and medical) with an easy, precise and low cost tool to estimate fall risk and incapacity from gait and balance (mobility) measurements. This work is important for the advancement in medical kinematics which will impact Canadian research in the field of rehabilitation, diagnosis, and function assessment. Another target market for the MAT is the personal injury law and the insurance industry, both of which would benefit from simple, computerized quick assessment of functional mobility resulting from an accident. This project is a partnership between York University and PhD Associates, the expected duration of the project is 6 months.