Closing the Wearable Gap-Part VII: A Retrospective of Stretch Sensor Tool Kit Development for Benchmark Testing
Closing the Wearable Gap-Part VII: A Retrospective of Stretch Sensor Tool Kit Development for Benchmark Testing
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DOI：
10.3390/electronics9091457
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发表时间：
2020-09
期刊：
影响因子：
2.9
通讯作者：
Purva Talegaonkar;D. Saucier;Will Carroll;Preston Peranich;Erin Parker;Carver Middleton;Samaneh Davarza
中科院分区：
文献类型：
--
作者：
Purva Talegaonkar;D. Saucier;Will Carroll;Preston Peranich;Erin Parker;Carver Middleton;Samaneh Davarza
本文介绍了一个回顾性的基准测试方法开发和积累到拉伸传感器工具包（SSTK）的研究团队在关闭可穿戴的差距系列研究。开发的技术，以验证可拉伸软机器人传感器（SRS）作为一种手段，用于收集人体的动力学和运动学数据在脚踝复合体和手腕进行审查。从过去的实验中吸取的教训，以及什么构成了当前的SSTK的基础上，研究人员在多项研究的过程中学到的。SSTK的三个核心组成部分是：（a）材料测试工具，（B）数据分析软件，和（c）数据收集设备。收集的结果表明，拉伸传感器是一种可行的方法，用于根据研究人员进行的最新步态分析研究预测运动学数据（平均均方根误差或RMSE = 3.63°）。借助本研究摘要中定义的SSTK，并在GitHub上与学术社区共享，研究人员将能够进行更严格的SRS验证方法。SSTK的当前状态的摘要是详细的，包括洞察即将进行的实验，将利用更复杂的技术进行疲劳测试和步态分析，利用SRS作为数据收集解决方案。
This paper presents a retrospective of the benchmark testing methodologies developed and accumulated into the stretch sensor tool kit (SSTK) by the research team during the Closing the Wearable Gap series of studies. The techniques developed to validate stretchable soft robotic sensors (SRS) as a means for collecting human kinetic and kinematic data at the foot-ankle complex and at the wrist are reviewed. Lessons learned from past experiments are addressed, as well as what comprises the current SSTK based on what the researchers learned over the course of multiple studies. Three core components of the SSTK are featured: (a) material testing tools, (b) data analysis software, and (c) data collection devices. Results collected indicate that the stretch sensors are a viable means for predicting kinematic data based on the most recent gait analysis study conducted by the researchers (average root mean squared error or RMSE = 3.63°). With the aid of SSTK defined in this study summary and shared with the academic community on GitHub, researchers will be able to undergo more rigorous validation methodologies of SRS validation. A summary of the current state of the SSTK is detailed and includes insight into upcoming experiments that will utilize more sophisticated techniques for fatigue testing and gait analysis, utilizing SRS as the data collection solution.