SBIR Phase I: Virtual Assessment of Foot and Gait for Smartphone-Enabled Personalized Treatment

这个小企业创新研究（SBIR）第一阶段项目的更广泛的影响是改善各种疾病的建模和治疗。最初的应用是个性化鞋类。 该项目使用智能手机摄像头来确定脚和步态的大小和方向。 它结合了计算机视觉、图像处理、机器学习、材料科学以及解剖学和生理学，开发了一种适合鞋子的虚拟解决方案。这使得一种新的低成本的方法，用于评估生理条件与潜在的简单的消费者解决方案。 该项目支持一种新颖的数据分析解决方案，该解决方案基于静态脚形和动态脚功能提供准确的鞋类建议，仅使用智能手机捕获图像。 该项目将使用机器学习和统计建模为用户开发算法，以评估舒适鞋的潜在效用。该项目将评估原型系统的预测准确性。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。

The broader impact of this Small Business Innovation Research (SBIR) Phase I project is to improve modeling and treatment for various disorders. The initial application is to personalize footwear. This project uses a smartphone camera to determine the size and orientation of feet and gait. It combines computer vision, image processing, machine learning, material science, and anatomy and physiology to develop a virtual solution to fit shoes. This enables a new low-cost method for evaluating physiological conditions with potentially straightforward consumer solutions. This project supports a novel data-analytics solution that provides accurate footwear recommendations based on static foot shape and dynamic foot function, using only a smartphone to capture images. This project will develop the algorithms using machine learning and statistical modeling for a user to evaluate the potential utility of a comfortable shoe. This project will evaluate the prediction accuracy of a prototype system.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.