I-Corps: Assessment of the feasibility of commercialization of a 3D markerless motion capture system with application to physical therapy

I-Corps：评估 3D 无标记动作捕捉系统商业化并应用于物理治疗的可行性

• 批准号: 1449603
• 负责人: Brian Noehren
• 金额: $ 5万
• 依托单位: University of Kentucky Research Foundation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-07-01 至 2015-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1449603&HistoricalAwards=false
• 关键词: Corps; Assessment; feasibility; commercialization; 3D

A low cost and accurate motion capture system is a fundamental improvement in the technology that is available to physician, physical therapists, and other medical professionals to diagnosis, treat, and monitor patients with movement disorders in the lower-extremity. Currently motion analysis systems cost tens of thousands dollars; require dedicated space and special training for operations. Therefore the cost to perform motion analysis is up to one thousand dollars per session and only available in large hospitals. The availability of low-cost depth cameras brings the possibility to perform motion analysis with a fraction of the current cost. In this proposal, the team has developed a clinically viable 3D markerless motion capture system that meets the strident needs of the medical community for a high accuracy and precision as well as convenience and affordability.The team proposes to use a commercially available depth and color camera to accurately and precisely define movement mechanics of injured populations. The team has developed an effective system for human pose tracking that achieves comparative accuracy to marker-based systems. Moreover, the team has developed novel algorithms for complex human pose tracking in general scenes that achieves state-of-the-art results. The proposed system will build upon the current pipeline of novel algorithms to achieve higher accuracy and robustness for the relatively better controlled motions commonly used in clinics.

低成本和精确的运动捕捉系统是医生、物理治疗师和其他医疗专业人员可用于诊断、治疗和监测下肢运动障碍患者的技术的根本改进。目前，运动分析系统的成本高达数万美元，需要专门的空间和特殊的操作培训。因此，执行运动分析的成本高达每次会话一千美元，并且仅在大医院可用。 低成本深度相机的可用性带来了以当前成本的一小部分执行运动分析的可能性。在这项提案中，该团队开发了一种临床上可行的3D无标记运动捕捉系统，满足了医疗界对高准确性和精确度以及方便性和可负担性的强烈需求。该团队建议使用商用深度和彩色相机来准确精确地定义受伤人群的运动力学。该团队开发了一种有效的人体姿势跟踪系统，其精度可与基于标记的系统相媲美。此外，该团队还开发了用于一般场景中复杂人体姿势跟踪的新算法，实现了最先进的结果。所提出的系统将建立在目前的管道的新算法，以实现更高的精度和鲁棒性的相对更好的控制运动通常用于临床。