MRI: Acquisition of Biomechanical Movement Baselining Technology Suite for Wearable Technology and Stretch Sensor-based Validation of Lower Body Characteristics

密西西比州立大学的人体性能工程学由一个跨学科的大型团队进行，代表了学术界、体育界和工业界的不同研究人员和从业者，开发并验证了可穿戴技术，这些技术可以用来捕捉现实环境中的人体运动。实验室中的测试对知识进步至关重要。该仪器套件由最先进的步态实时分析互动实验室(GRAIL)系统和用于人体表现评估的表面肌电(SEMG)传感器组成。使用拟议的技术套件产生的项目的更广泛影响将增加研究能力，并允许跨越通过人体性能工程研发计划开发的当前可穿戴技术原型的可伸缩性障碍。这一人体性能实验室套件将使跨学科研究人员能够通过新型可穿戴技术解决方案和技术验证来促进美国公众的健康和福利。这项研究的成功将加强密歇根州立大学与体育、工业、军事和医疗合作伙伴之间的现有伙伴关系，同时进一步发展跨学科重点的研究和教育基础设施。获得的系统构建支持人类性能工程团队的研究，包括一个名为“从头开始-使用软机器人传感器(SRS)通过扩展当前仪器的能力，创造出一种可在运动训练期间准确捕获实时、运动学和运动学数据的脚踝可穿戴设备”的项目。GRAIL和sEMG相结合的系统为生成大型数据集提供了一个更准确、更方便和更安全的平台，特别是对于临床高危人群。该仪器套件支持的活动通过验证软机器人传感器(SRS)作为人体所有肢体节段的运动捕获工具，推动了人因工程领域的变革性研究。该仪器套件将允许在参与者测试复杂的动态运动(步态、打滑/绊倒扰动)期间实现更好的控制和可重复性，并将实现更快的数据收集过程，使研究团队能够正确利用需要大量数据的最先进的深度学习方法。二次变革性研究领域包括：(1)儿科基于步态的残疾，(2)慢性脚踝不稳定，(3)预防跌倒，(4)疲劳和不安全行为识别系统，以及(5)自动驾驶车辆，包括行人及其在自动驾驶附近的行为。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。

Human performance engineering at Mississippi State University, conducted by a large, interdisciplinary team, representing diverse researchers and practitioners in academics, athletics, & industry, develops and validates wearable technologies that can be used to capture human movement in realistic environments. Testing in labs is critical for knowledge advancement. The instrument suite consists of state-of-the-art Gait Real-time Analysis Interactive Lab (GRAIL) system and surface electromyography (sEMG) sensors for human performance assessment. The broader impacts of the projects arising with use of the proposed technology suite will increase research capacity and permit the crossing of scalability barriers for current wearable technology prototypes developed through the human performance engineering research and development program. This human performance laboratory suite will empower interdisciplinary researchers to advance the health and welfare of the American public through new types of wearable technology solutions and technology validation. The success of such research will enhance existing partnerships between MSU and athletic, industrial, military, and medical partners while further growing the infrastructure for research and education with an interdisciplinary focus.The acquired system build supports research of the human performance engineering team, including a project entitled “From the Ground Up – Using Soft Robotic Sensors (SRS) to Create a Foot and Ankle Wearable that Accurately Captures Real-time, Kinematic and Kinetic Data During Athletic Training” by extending the capability of current instrumentation. The combined GRAIL and sEMG system provides a more accurate, convenient, and safe platform for the generation of large data sets, especially with clinically at-risk populations. Activities enabled by the instrument suite advance transformative research within the field of human factors engineering by validating Soft Robotic Sensors (SRS) as a motion capture tool for all lower limb segments in the human body. The instrument suite will allow for more control and repeatability during participant testing of complex, dynamic movements (gait, slip/trip perturbations), and will enable a much faster data collection process, allowing the research team to properly utilize state-of-the-art deep learning approaches requiring large amounts of data. Secondary transformative research areas include: (1) Gait-based disabilities in pediatrics, (2) Chronic ankle instability, (3) fall prevention, (4) fatigue and unsafe behavior identification systems, and (5) autonomous vehicles including pedestrians and their behaviors around autonomy.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.