CSR: EAGER: A Wearable Body Motion Sensing Platform Using Conductive Stretchable Fabric

该项目旨在开发一个可穿戴平台，能够生成人体骨骼的三维（3D）模型并跟踪其运动。存在使用深度相机和特殊图像处理软件来对人体骨骼的运动进行建模的技术，并且Microsoft Kinect是一个众所周知的示例。然而，使用固定摄像机的技术需要在固定位置部署摄像机设备，以便感测人体运动。虽然这可能适用于室内固定场景，但对于室外普遍存在的场景是不可行的。相反，该项目的可穿戴平台适用于这两种场景。这个可穿戴平台是使用导电可拉伸织物设计的，穿着舒适。 为了使用可穿戴平台估计3D身体运动，身体骨架的模型需要与骨架上的主要关节的弯曲角度融合。 该项目利用织物的导电电阻变化来推断织物覆盖的身体关节的用户依赖的弯曲角度。 此外，该平台还开发了一种3D运动估计方法，该方法可以在人体运动学约束下优化运动估计结果。该可穿戴平台具有长期佩戴舒适性和高运动传感精度，将大大增强当前医疗保健，运动和户外娱乐的实践。老年居民和当地退休社区的福利将通过与老龄化和老年健康卓越中心的合作提供。该研究将被整合到三个本科和研究生课程。开放日将为不同的少数民族学生和高中生提供实践机会。该项目的数据包括人类受试者数据，实验结果，软件代码和课程材料。数据收集和管理将在William玛丽的人类受试者保护委员会的监督下进行。数据将安全地存储在计算机上，并定期备份在威廉玛丽。项目网站为http://gzhou.blogs.wm.edu/nsf-eager-18/，项目Web服务器由William玛丽维护和实现。该奖项反映了NSF的法定使命，并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，被认为值得支持。

This project aims to develop a wearable platform that enables the generation of a three dimensional (3D) model of the human skeleton and tracking its motion. There exist techniques that use depth cameras and special image processing software to model motion of the human skeleton, and Microsoft Kinect is a well-known example. However, the techniques using fixed cameras need to deploy camera devices at fixed locations in order to sense human motions. While this may be suitable for indoor fixed scenarios, it is not feasible for outdoor ubiquitous scenarios. Instead, the wearable platform from this project works for both scenarios. This wearable platform is designed using a conductive stretchable fabric that is comfortable to wear. To estimate 3D body motions using the wearable platform, the model of the body skeleton needs to be fused with the bend angles of major joints on the skeleton. This project exploits the fabric's conductive resistance change to infer user dependent bend angles of body joints that the fabric covers. Furthermore, a 3D motion estimation method is developed for the platform that optimizes motion estimation results with body kinematics constraints.Being comfortable for long-term wear and able to provide high motion sensing accuracy, this wearable platform will largely enhance the current practice of healthcare, sports, and outdoor entertainment. Benefits to senior residents and local retirement communities will be delivered through collaboration with the Center for Excellence in Aging and Geriatric Health. The research will be integrated into three undergraduate and graduate courses. Open houses will provide hands-on opportunities to a diverse group of minority students and high school students.Data from this project includes human-subjects data, experiment results, software code, and curriculum materials. Data collection and management will be under the supervision of the Protection of Human Subjects Committee at William & Mary. Data will be stored securely on computers and regularly backed-up at William & Mary. The project web site is http://gzhou.blogs.wm.edu/nsf-eager-18/ , and the project web server is maintained and achieved by William & Mary. Data will be preserved for at least three years beyond the award period.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.