Intelligent Mobility Systems

智能移动系统

• 批准号: RGPIN-2019-04106
• 负责人: Lemaire, Edward
• 金额: $ 2.33万
• 依托单位: University of Ottawa
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=684304
• 关键词: Intelligent; Mobility; Systems

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.

随着我们人口的老龄化，保持身体的流动性对独立性、生活质量和就地老龄化都很重要。需要融合各种技术和方法，以进一步改善老年人和行动不便者的行动方式。智能移动系统研究将实时信息、传感器辅助决策、移动控制和移动生成结合在一起，以在个人选择的环境中提供安全有效的移动。智能移动 * 系统涉及两个相互关联的流程：智能可穿戴辅助 * 设备和实时移动评估。这两种流都需要从可穿戴传感器实时采集多信号、进行特征提取、分类和输出，以指导辅助设备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，成本适当的解决方案，可以应用于移动 * 残疾人群。我们将继续研究世界一流的微处理器控制的液压膝关节，为膝盖伸肌能力可以忽略不计的人提供智能可变阻尼。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 *（动力膝盖和臀部）和下肢假肢方面的经验，新的研究将改善这些外骨骼机器人与人的互动方式，新的机械设计 * 和控制方法也将用于为动力髋截肢假肢（市场上不存在）和动力髋矫形器创造新技术。为了改善与移动性相关的决策，下一阶段的研究将改善基于智能手机和可穿戴传感器的临床测试增强（即，在执行标准移动性测试时提供新的决策 * 信息，如果没有可穿戴传感器系统，这将是不可用的）;增强视频工具，用于人类运动的实时/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，用于在公共生活空间（走廊等）内的即时运动质量 * 报告。这些创新将 * 在临床和老年人护理环境中进行试点测试，以验证应用 * 在实践中的性能。