PFI-RP: From the Ground Up: Using Soft Robotic Sensors to Create a Foot and Ankle Wearable that Accurately Captures Real-time, Kinematic and Kinetic Data During Athletic Training

PFI-RP：从头开始：使用软机器人传感器创建足部和脚踝可穿戴设备，可在运动训练期间准确捕获实时、运动学和动力学数据

基本信息

批准号：
1827652
负责人：
Reuben Burch
金额：
$ 74.99万
依托单位：
Mississippi State University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-09-15 至 2025-02-28
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1827652&HistoricalAwards=false
关键词：
PFI RP Ground Up Using

项目摘要

The broader impact/commercial potential of this PFI project will advance the health and welfare of the American public by using a new type of wearable technology solution. This liquid metal sensors-based wearable is designed to move human movement evaluation from laboratory environments to where people normally perform work: the real world. This project will create an affordable foot-ankle wearable to properly assess wearer gait and leg symmetry for people of all shapes and sizes without requiring expensive, bulky equipment or a practitioner's expertise. Moreover, the proposed tool is accurate, yet is also accessible meaning that this capability could improve quality of life via proper prognosis and diagnosis within competitive athletics as well as for medical patients during real-world task assessments. This project can also be used to support the national defense of the United States by providing the ability to assess movement measures, such as step count, acceleration, and ground reaction force estimation of military personnel, aiding in tactical planning and identification of oncoming injuries to limb segments. Over time, joints will fatigue and failure to identify these stressors can have a severe impact on the battlefield just as in the practice courts or industrial environments. The proposed project repurposes soft robotic sensors to accurately and noninvasively capture movement and force data in near real-time at the foot-ankle to provide meaningful performance and risk assessment for tailoring training regimens. This wearable solution is in response to collegiate and professional-level strength and conditioning coaches and trainers desire for a precise solution that captures movement data "from the ground up". The proposed solution will accurately capture ankle kinematic and kinetic data outside of the lab, giving coaches, trainers, medical staff, and researches a wealth of information that was previously not available or trusted by field practitioners. Intellectual merits include: (a) expanding state-of-the-art wearable solutions to measure absolute foot-ankle angles, (b) using custom liquid metal sensors to measure foot forces, and (c) combining complex angle and force measurements into machine learning systems estimating ankle injury risk thereby allowing practitioners to effectively monitor repetitive movements. The project goal is to create an accurate yet affordable wearable system that can identify potential risks of the most common injury, ankle strain. Collegiate student athletes will be used for design validation as initial project scope is designed for competitive sports; however, the solution will be expandable to industrial and military repetitive motions.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.

该 PFI 项目的更广泛影响/商业潜力将通过使用新型可穿戴技术解决方案来促进美国公众的健康和福利。这种基于液态金属传感器的可穿戴设备旨在将人体运动评估从实验室环境转移到人们通常工作的地方：现实世界。该项目将打造一款经济实惠的足踝可穿戴设备，能够正确评估各种体形和体型的佩戴者的步态和腿部对称性，而无需昂贵、笨重的设备或从业者的专业知识。此外，所提出的工具是准确的，但也易于使用，这意味着这种功能可以通过竞技体育以及现实世界任务评估期间医疗患者的正确预后和诊断来提高生活质量。该项目还可以用于支持美国的国防，提供评估运动措施的能力，例如军事人员的步数、加速度和地面反作用力估计，帮助制定战术规划和识别即将发生的伤害。肢体节段。随着时间的推移，关节会疲劳，并且无法识别这些压力源可能会对战场产生严重影响，就像在练习场或工业环境中一样。拟议的项目重新利用软机器人传感器，以近乎实时的方式准确无创地捕获脚踝处的运动和力数据，为定制训练方案提供有意义的表现和风险评估。这种可穿戴解决方案是为了满足大学和专业级体能教练和培训师对“从头开始”捕捉运动数据的精确解决方案的渴望。所提出的解决方案将在实验室外准确捕获脚踝运动学和动力学数据，为教练、培训师、医务人员和研究人员提供以前现场从业人员无法获得或信任的大量信息。智力优势包括：(a) 扩展最先进的可穿戴解决方案来测量绝对脚踝角度，(b) 使用定制液态金属传感器来测量脚力，以及 (c) 将复杂的角度和力测量结合到机器中学习系统可估计脚踝受伤风险，从而使从业者能够有效监控重复性动作。该项目的目标是创建一个准确且价格实惠的可穿戴系统，该系统可以识别最常见伤害（脚踝拉伤）的潜在风险。由于最初的项目范围是为竞技运动设计的，因此大学生运动员将用于设计验证；然而，该解决方案将可扩展到工业和军事重复性动议。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

期刊论文数量（18）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Closing the Wearable Gap-Part VII: A Retrospective of Stretch Sensor Tool Kit Development for Benchmark Testing

DOI：
10.3390/electronics9091457
发表时间：
2020-09-07
期刊：
Electronics
影响因子：
2.9
作者：
Purva Talegaonkar;D. Saucier;Will Carroll;Preston Peranich;Erin Parker;Carver Middleton;Samaneh Davarza
通讯作者：
Samaneh Davarza

Deterioration of textile vs. electronic components over time in athletic wearable devices

运动可穿戴设备中纺织品与电子元件随着时间的推移而劣化

DOI：
10.1117/12.2587975
发表时间：
2021-04
期刊：
Smart Biomedical and Physiological Sensor Technology XVIII
影响因子：
0
作者：
Parker, Erin;Freeman, Charles;Persons, Karen;Burch, Reuben;Ball, John E.;Saucier, David;Middleton, Carver;Peranich, Preston;Chander, Harish;Knight, Adam;et al
通讯作者：
et al

Wearable Stretch Sensors for Human Movement Monitoring and Fall Detection in Ergonomics

用于人体运动监测和人体工程学跌倒检测的可穿戴拉伸传感器

DOI：
10.3390/ijerph17103554
发表时间：
2020-05-01
期刊：
International Journal of Environmental Research and Public Health
影响因子：
0
作者：
H. Ch;er;er;Reuben F. Burch;Purva Talegaonkar;D. Saucier;Tony Luczak;J. Ball;Alana Turner;Sachini N.
通讯作者：
Sachini N.

Closing the Wearable Gap–Part IX: Validation of an Improved Ankle Motion Capture Wearable

缩小可穿戴设备的差距——第九部分：改进的踝关节运动捕捉可穿戴设备的验证

DOI：
10.1109/access.2021.3102880
发表时间：
2021-01
期刊：
IEEE Access
影响因子：
3.9
作者：
Carroll, Will;Turner, Alana;Talegaonkar, Purva;Parker, Erin;Middleton, J. Carver;Peranich, Preston;Saucier, David;Burch, Reuben F.;Ball, John E.;Smith, Brian K.;et al
通讯作者：
et al

Closing the Wearable Gap—Part IV: 3D Motion Capture Cameras Versus Soft Robotic Sensors Comparison of Gait Movement Assessment

缩小可穿戴设备的差距——第四部分：3D 动作捕捉相机与软机器人传感器步态运动评估的比较

DOI：
10.3390/electronics8121382
发表时间：
2019-12
期刊：
Electronics
影响因子：
2.9
作者：
Saucier, David;Davarzani, Samaneh;Turner, Alana;Luczak, Tony;Nguyen, Phuoc;Carroll, Will;Burch V, Reuben F.;Ball, John E.;Smith, Brian K.;Chander, Harish;et al
通讯作者：
et al