SBIR Phase I: 3D Markerless Motion Capture Technology For Gait Analysis During Rehabilitation

这个小型企业创新研究(SBIR)第一阶段项目的更广泛的影响/商业潜力是促进步行障碍的诊断和治疗以及相关的康复。据估计，有5000万美国人因受伤、疾病和年龄而遭受步态(行走)障碍，超过38800家理疗诊所治疗这些患者。该项目将开发一个人工智能系统，从小区域周围摄像头的视频数据中提取步态指标。一种新的诊断工具将在康复治疗过程中跟踪细微差别的步态指标。这项技术将使物理治疗师能够以新的、更快的方式准确诊断步态异常并跟踪治疗。这个小企业创新研究(SBIR)第一阶段项目可能会产生一个系统，为患有神经损伤的人诊断步态缺陷。拟议的项目将开发一种无标记的三维运动捕获系统，以节省时间和成本的方式为临床医生准确诊断步态病理。该项目将：验证无标记运动捕捉系统，以确保在标准方法的10%误差范围内准确测量原始运动学度量，并可能扩展系统度量；并进行验证和验证过程。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to advance diagnosis and treatment of walking disorders and associated rehabilitation. An estimated 50 million Americans experience gait (walking) impairment due to injury, disease, and age, and more than 38,800 physical therapy clinics treat these patients. This project will develop an artificial intelligence system to extract gait metrics from video data from cameras surrounding a small area. A new diagnostic tool will track nuanced gait metrics throughout rehabilitation treatment. This technology will enable new and faster ways for physical therapists to precisely diagnose gait abnormalities and track treatment.This Small Business Innovation Research (SBIR) Phase I project could result in a system to diagnose gait deficiencies for people who suffer from neurological impairments. The proposed project will develop a markerless three-dimensional motion capture system to accurately diagnose gait pathologies in a time- and cost-efficient manner for clinicians. The project will: validate of the markerless motion capture system to ensure accurate measurement of raw kinematic metrics within 10% error of standard methods and potentially expand the system metrics; and conduct verification and validation processes.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.