Planning Grant: NSF Engineering Research Center for Smart Personalized Assistive Devices and Enabling Systems (SPADES)

工程研究中心规划奖助金竞赛是作为ERC计划的试点征集活动进行的。计划拨款不是整个ERC竞赛的一部分，而是旨在建立团队之间的能力，以计划集中的、中心规模的工程研究。辅助设备提供必要的关键支持，以克服身体限制，防止受伤，并提高健康工人和残疾人的安全。糖尿病、痴呆症和肥胖症的流行，儿童残疾的增加，以及人口老龄化，增加了辅助设备的使用，使其成为我们社会护理系统的重要组成部分。虽然许多用户对辅助设备的需求增加，但由于自豪感、适合性差、成本高和不断变化的需求，他们使用辅助设备的意愿可能会下降。智能个性化辅助设备和使能系统工程研究中心(ERC)就是为了满足这一社会需求而提出的，它创造了个性化辅助设备(PAD)和智能护理系统(SCS)。科学和工程的进步使衬垫的材料、设计、制造、学习和控制成为可能。建立一个分布式的PADS制造和服务网络，作为SCS的基础。黑桃的ERC旨在创建一个创新生态系统，并在我们未来的社会中改变PAD和SCS，为妇女、代表不足的少数群体(URM)和退伍军人提供包容的多样性和文化。这笔计划拨款将建立一个融合了工程学、心理学、社会学、人体运动学、康复和工业(知识的广度)和基础科学(知识的深度)整合的研究和教育团队。PADS和SCS将探索用于添加制造(AM)的聚合物软材料、接触力学、以人为中心的设计和机器学习的新科学知识。将研究微结构和功能梯度材料的AM，以构造具有个性化属性的人与人的界面的保形形状。将建立动态生物力学和接触模型，以设计与用户的最佳个人偏好空间匹配的垫接触界面，该个人偏好空间是基于多维展开建模以及来自用户反馈的输入和在评估期间测量的生物特征传感器数据来识别的。为了应对用户需求的演变，将建立主动焊盘的实时控制和基于大数据的学习，以改进焊盘设计和控制。大数据基于稳健的提取、转换和识别能力，以分析传感器测量和模型预测的演变，这是在SCS中学习的基础。多层次决策策略将利用来自传感器和用户反馈的数据，结合监督学习和多目标优化，来推动被动和主动PAD的决策策略。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 Planning Grants for Engineering Research Centers competition was run as a pilot solicitation within the ERC program. Planning grants are not required as part of the full ERC competition, but intended to build capacity among teams to plan for convergent, center-scale engineering research.Assistive devices provide the critical support required to overcome physical limitations, prevent injury, and improve safety for healthy workers and people with disabilities. The epidemic of diabetes, dementia, and obesity, the rise in childhood disability, and the aging population have increased the use of assistive devices, making them an instrumental part of the care system in our society. While many users of have an increased need for assistive devices, they may have a declined willingness to use them due to self-pride, poor fit, high cost, and changing needs. The Engineering Research Center (ERC) for Smart Personalized Assistive Devices and Enabling Systems (SPADES) is proposed to meet this societal need by creating personalized assistive devices (PADs) and smart care system (SCS). Advancements in science and engineering have enabled the material, design, manufacturing, learning, and control of PADs. A distributed manufacturing and service network for PADs will be established as the foundation for SCS. The ERC for SPADES is aimed to create an innovation ecosystem and transform PADs and SCS in our future society with the diversity and culture of inclusion for women, underrepresented minority (URM), and veterans. This planning grant will establish a convergent research and education team with partnership among engineering, psychology, sociology, kinesiology, rehabilitation, and industry (the breadth of knowledge) and integration of fundamental sciences (the depth of knowledge). New scientific knowledge in polymeric soft material for additive manufacturing (AM), contact mechanics, human-centered design, and machine learning will be explored for PADs and SCS. AM of micro-architectured and functionally graded materials will be studied to construct conformal shapes for human contact interface with personalized properties. The dynamic biomechanical and contact models will be established to design a PAD contact interface that matches to the optimal personal preference space of a user, which is identified based on the multidimensional unfolding modeling and inputs from the user feedback and biometric sensor data measured during evaluation. To address the evolution of user needs, the real-time control of active PADs and the big data based learning for improved PAD design and control will be established. The big data is based on robust extraction, transformation, and identification capabilities to analyze the evolution of sensor measurements and model predictions, which are the foundation of learning in SCS. A multi-level decision making strategy will utilize data derived from sensors and user feedback, combined with supervised learning and multi-objective optimization, to drive the decision-making strategy for both passive and active PADs.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.