CAREER: Multi-Utility Textile Electromagnetics for Motion Capture and Tissue Monitoring Cyber-Physical Systems

可穿戴传感器在医疗、体育、国防、急救和消费者应用方面显示出很大的前景，但目前仅限于引人注目的实施。就像手机从一英尺长的原型发展到最近的智能设备一样，下一代可穿戴设备被设想无缝嵌入面料中。这个职业项目旨在了解在野外操作这种纺织品传感器的独特挑战，并通过织物、电子设备和人类之间的闭环交互来实现它们的可靠运行。为了作为一个模型并启发新的应用，该项目专注于新型功能服装，这些服装可以无缝地监控运动学和/或组织异常，具有领先于最先进技术的独特优势。同时，综合教育/推广工作旨在增加学生和公众对生物电磁学的接触，目前仅限于专业研究，但可以通过具有直接社会影响的吸引人的活动为所有人提供跨学科培训。这一职业项目将开创一个设计、建模和实施框架，使人在回路中的网络物理系统(CPS)与在复杂(人类穿着传感织物)和动态(真实世界)环境中运行的导电电子纺织品传感器相协调。提出了认知和完全自适应的电子纺织品CP：(A)识别穿着者、面料和环境接收的输入，以及(B)在网络和物理两个方面集成敏捷性，以实现动态的闭环适应。反过来，在优化性能、最大限度地减少资源和增加无数人在回路中的CP的机会方面的潜力被预见是巨大的。在不失去一般性的情况下，重点是一种新型的多用途传感器，它解决了可穿戴设备领域中最具挑战性的两种传感模式，即运动捕捉和组织异常监测。可以单独或同时使用这些模式来创建密集数据(在路上捕获的运动)、稀疏数据(在稀疏间隔上监视的组织)和上下文感知(以上两种)人在环路CP的模型。作为一个案例研究，将逐步设计一种新的CPS-从概念到体内测试-以改善前十字韧带重建后的结果。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。

Wearable sensors show much promise for medical, sports, defense, emergency, and consumer applications, but are currently limited to obtrusive implementations. Akin to the evolution of cell phones that evolved from foot-long prototypes to recent smart devices, next-generation wearables are envisioned to be seamlessly embedded in fabrics. This CAREER project aims to understand the unique challenges of operating such textile sensors “in-the-wild” and to empower their reliable operation via closed-loop interaction among fabrics, electronics, and humans. To serve as a model and to inspire new applications, the project focuses on new classes of functionalized garments that can seamlessly monitor kinematics and/or tissue abnormalities with unique advantages over the state-of-the-art. Concurrently, the integrated education/outreach efforts aim to increase student and public exposure to bio-electromagnetics that are now confined to specialized research, yet can enable interdisciplinary training for all via appealing activities with direct societal impact.This CAREER project will pioneer a design, modeling, and implementation framework that reconciles human-in-the-loop Cyber-Physical Systems (CPS) with conductive e-textile sensors operating in complex (human wearing a sensing fabric) and dynamic (real-world) environments. Cognitive and fully-adaptive e-textile CPS are proposed that: (a) are cognizant of inputs received by the wearer, the fabric, and the environment, and (b) integrate agility in both the cyber and physical sides for closed-loop adaptability on the fly. In turn, potentials in optimizing performance, minimizing resources, and enhancing opportunities for myriads of human-in-the-loop CPS are envisioned to be significant. Without loss of generality, focus is on a novel-multi-utility sensor that addresses two of the most challenging sensing modalities in the area of wearables, i.e., motion capture and tissue abnormality monitoring. These modalities may be individually or concurrently employed to create models for dense-data (motion captured on the go), sparse-data (tissues monitored over sparse intervals), and context-aware (both of the above) human-in-the-loop CPS. As a case study, a novel CPS will be progressively designed – from concept to in vivo testing – to improve outcomes after anterior cruciate ligament reconstruction.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.