SBIR Phase I: Mobility Monitor: An autonomous intelligent system developed to quantitatively determine mobility.

SBIR 第一阶段：移动性监控器：开发用于定量确定移动性的自主智能系统。

• 批准号: 1153572
• 负责人: Ralph Reinhold
• 金额: $ 14.99万
• 依托单位: Kaliber Imaging, Incorporated
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-01-01 至 2012-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1153572&HistoricalAwards=false
• 关键词: SBIR; Phase; Mobility; Monitor; autonomous; SBIR; Phase; Mobility; Monitor; autonomous

This Small Business Innovation Research (SBIR) Phase I project is developing an integrated computer vision system to objectively measures a person's gait, range of motion and balance and other mobility static and dynamic factors, targeted at fall risk in the elderly. This compact system is cost-effective and easy to use. It tracks people's mobility, identifies problems to correct losses, and provides feedback to motivate the patient to follow their prescribed treatment. The initial focus is the rapidly growing older adult population, who are living longer through advances in medicine, and yet, there are gaps in modern healthcare technologies that prevent elderly people from living independent lives. The project will result in an autonomous intelligent system developed to assess the elderly and others with potential limitations in mobility, to provide comparisons with norms, and to archive test outcomes to allow the subject to see their progress or regress and allow for clinical intervention. The product uses state-of-the-art developments in hardware and software, including existing motion analysis, aerospace technology, mobile telephones and the computer game industry, resulting in a system equipped to follow the motion of a person at a constant scale and quantitatively determine that motion. The broader impact/commercial potential of this project is in the analysis, rehabilitation and monitoring of mobility issues. The project succinctly responds to priority areas of robotics technology development in the following ways: (1) leveraging improvements in core technologies and algorithms to innovatively yet cost efficiently develop a highly intelligent system capable of making objective, quantitative, "real time" measurements of mobility to replace current subjective testing or time-consuming clinical gait analysis; and (2) using this technology to support and enhance independent living and improve health service delivery to elders and the disabled allowing for more effective treatment protocol. The above broad aims are proven feasible through focused Phase I objectives: (1) connecting the tracking data to articulated human skeletal movement and (2) evaluating key, high-risk components and algorithms using a test article and computer simulation. Phase I will clear barriers to development of an advanced prototype in Phase II--resulting in additional refinements, testing in clinical trials and partnering with a manufacturer in transition to commercialization. The growth plan includes home care applications with the capacity to telemonitor and report to practitioners.

这项小型企业创新研究（SBIR）I阶段项目正在开发一个集成的计算机视觉系统，以客观地衡量一个人的步态，运动和平衡范围以及其他移动性静态和动态因素，目标是老年人的跌倒风险。这种紧凑的系统具有成本效益且易于使用。它跟踪人们的流动性，确定问题以纠正损失，并提供反馈，以激发患者进行规定的治疗。最初的重点是迅速增长的老年人，他们通过医学的进步而寿命更长，但是，现代医疗保健技术的差距可以阻止老年人过独立生活。该项目将导致一个自主智能系统，以评估老年人和其他具有潜在局限性的老年人，提供与规范的比较，并归档测试结果，以使受试者能够看到其进度或回归并允许临床干预。该产品使用硬件和软件的最新开发项目，包括现有的运动分析，航空技术，移动电话和计算机游戏行业，从而导致一个系统，能够按照恒定规模遵循人员的运动并进行定量确定该运动。该项目的更广泛的影响/商业潜力在于对流动性问题的分析，康复和监测。该项目通过以下方式简洁地响应了机器人技术开发的优先领域：（1）利用核心技术和算法的改进来创新但成本上有效地开发了一种高度智能的系统，能够进行客观，定量，实时的“实时”测量，以取代当前主观测试或替代时间耗时的临时临床临床临床步态分析； （2）使用这项技术来支持和增强独立的生活，并改善向长者和残疾人提供的卫生服务提供更有效的治疗方案。通过集中的I期目标证明了上述广泛的目标是可行的：（1）将跟踪数据连接到明确的人类骨骼运动，（2）使用测试文章和计算机模拟评估关键，高风险组件和算法。第一阶段将清除II期先进原型开发的障碍，并在临床试验中进行了其他改进，测试并与制造商合作，以过渡到商业化。增长计划包括具有远程女权人能力并向从业人员报告的家庭护理申请。