Intelligent Mobility Systems

随着人口老龄化，保持身体流动性对独立、生活质量和就地老龄化都很重要。需要技术和方法的融合，以进一步加强*老年人和行动不便的人的行动方式。智能移动*系统研究将实时信息、传感器辅助决策、运动控制和运动生成结合在一起，在个人选择的环境中提供安全和*有效的运动。智能移动*系统涉及两个相互关联的流：智能可穿戴辅助设备和实时运动评估。这两个流都需要从可穿戴传感器实时*多信号采集、特征提取、*分类和输出，以指导辅助设备的功能或为临床决策提供*即时信息。智能辅助设备流还需要机械工程创新，以实现*可穿戴、耐用、成本适中的解决方案，这些解决方案可以应用于行动不便的人群。*我们将继续研究我们的世界级*微处理器控制的液压膝关节，为膝关节伸展能力可以忽略不计的人提供智能*可变减震。这需要*独特的可穿戴传感器信号功能和机器学习方法来更好地*理解用户的意图，从而为*当前活动提供最佳功能。基于我们在加拿大Arke外骨骼(动力膝盖和髋关节)和腿部假肢方面的经验，新的研究将改进这些外骨骼机器人如何与人互动，以及新的机械设计*和控制方法也将被用于创造*动力髋关节假体(市场上没有)和*动力髋关节矫形器的新技术。*为了改进与移动相关的决策，下一阶段的研究将改进基于智能手机和可穿戴传感器的临床测试增强(即，在执行标准的移动测试时提供新的决策*信息，如果没有可穿戴式传感器系统，这将是不可用的)；增强视频工具，用于对人体运动进行*实时/增强现实分析(改进的标记*跟踪、面部分析等)；以及*研究新的深度相机方法，以实现即时运动质量*在普通生活空间(走廊等)内进行报告。这些创新将*在临床和老年护理环境中进行试点测试，以在实践中验证应用*性能。

As our population ages, maintaining*physical mobility is important for independence, quality of life, and aging in*place. A convergence of technologies and methods are needed to further enhance*how the elderly and people with mobility deficits move. Intelligent Mobility*Systems research brings together real-time information, sensor-aided*decision-making, movement control, and movement generation to provide safe and*effective locomotion in a person's chosen environment. Intelligent Mobility*Systems involves two inter-related streams: intelligent-wearable assistive*devices and real-time movement evaluation. Both streams require real-time*multi-signal acquisition from wearable sensors, feature extraction,*classification, and output to either guide assistive device function or provide*immediate information for clinical decision-making. The intelligent assistive*device stream also requires mechanical engineering innovations to achieve*wearable, durable, cost appropriate solutions that can be applied across mobility*disabled populations.******Research will continue on our world-class*microprocessor controlled hydraulic knee joint that provides intelligent*variable dampening for person with negligible knee extensor capacity. This requires*unique wearable sensor signal features and machine learning methods to better*understand the user's intent, thereby providing optimal function for the*current activity. Building on our experience with the Canadian ARKE exoskeleton*(powered knees and hips) and lower limb prosthetics, new research will improve*how these exoskeleton robots interact with the person and new mechanical-design*and control approaches will also be used to create novel technologies for*powered hip-amputation prostheses (does not exist on the market) and powered*hip orthoses.******To improve mobility-related*decision-making, next-phase research will improve smartphone-based and*wearable-sensor clinical test augmentation (i.e., provide new decision-making*information when performing standard mobility tests, which would not be*available without the wearable sensor system); enhance video tools for*real-time/augmented reality analysis of human movement (improved marker*tracking, facial analysis, etc.); and*investigate new depth camera approaches for immediate movement quality*reporting within common living spaces (hallways, etc.). These innovations will*be pilot tested in clinical and eldercare environments to verify application*performance in practice.