CPS:Medium:Quantitative Visual Sensing of Dynamic Behaviors for Home-based Progressive Rehabilitation

这项研究的目标是开发一个全面的理论和实验网络物理框架，通过计算机视觉和机器人技术的协同结合来实现人与环境的智能交互能力。具体地说，该方法被应用于使用智能的、关节的和可调节的下肢矫形器支架来检查个性化的远程康复来管理膝骨性关节炎，其中采用视觉传感/动力学系统的观点来：(1)跟踪和记录患者/设备与因特网使能的商用计算机视觉设备的交互；(2)将交互抽象成参数和可组合的低维流形表示；(3)链接到个体患者的定量生物力学评估；(4)促进个性化用户模型和运动方案的开发；(5)辅助练习的逐步参数细化和支撑装置的调整。这项研究及其结果将使我们能够通过融合定量数据采集和低阶建模与个性化反馈的概念来理解潜在的人类神经-肌肉-骨骼和运动原理。除了有效的表示，定量视觉模型提供了捕捉基于生物力学评估的基本的物理、生理和行为机制的潜力，从而提供了对人类行为的发生假说的洞察。膝骨性关节炎是一个重要的公共卫生问题，因为与治疗相关的高成本。能够在诊断和处方方面利用量化范式来改善患者的行动能力和减轻疼痛将是一个重大的好处。此外，以家庭为基础的康复环境不仅提供了极大的灵活性，而且还可以接触到更多的患者群体。该项目还与广泛的教育和外联活动相结合，为各种社区提供服务。

The objective of this research is to develop a comprehensive theoretical and experimental cyber-physical framework to enable intelligent human-environment interaction capabilities by a synergistic combination of computer vision and robotics. Specifically, the approach is applied to examine individualized remote rehabilitation with an intelligent, articulated, and adjustable lower limb orthotic brace to manage Knee Osteoarthritis, where a visual-sensing/dynamical-systems perspective is adopted to: (1) track and record patient/device interactions with internet-enabled commercial-off-the-shelf computer-vision-devices; (2) abstract the interactions into parametric and composable low-dimensional manifold representations; (3) link to quantitative biomechanical assessment of the individual patients; (4) facilitate development of individualized user models and exercise regimen; and (5) aid the progressive parametric refinement of exercises and adjustment of bracing devices. This research and its results will enable us to understand underlying human neuro-musculo-skeletal and locomotion principles by merging notions of quantitative data acquisition, and lower-order modeling coupled with individualized feedback. Beyond efficient representation, the quantitative visual models offer the potential to capture fundamental underlying physical, physiological, and behavioral mechanisms grounded on biomechanical assessments, and thereby afford insights into the generative hypotheses of human actions.Knee osteoarthritis is an important public health issue, because of high costs associated with treatments. The ability to leverage a quantitative paradigm, both in terms of diagnosis and prescription, to improve mobility and reduce pain in patients would be a significant benefit. Moreover, the home-based rehabilitation setting offers not only immense flexibility, but also access to a significantly greater portion of the patient population. The project is also integrated with extensive educational and outreach activities to serve a variety of communities.