Closing the Wearable Gap-Part IV: 3D Motion Capture Cameras Versus Soft Robotic Sensors Comparison of Gait Movement Assessment
Closing the Wearable Gap-Part IV: 3D Motion Capture Cameras Versus Soft Robotic Sensors Comparison of Gait Movement Assessment
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DOI：
10.3390/electronics8121382
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发表时间：
2019-12-01
期刊：
影响因子：
2.9
通讯作者：
Prabhu, Raj. K.
中科院分区：
文献类型：
--
作者：
Saucier, David;Davarzani, Samaneh;Prabhu, Raj. K.
本研究的目的是使用3D运动捕捉和可拉伸软机器人传感器（SRS）收集参与者在平坦和倾斜表面上进行步行步态周期的脚踝运动。主要目的是评估3D运动捕捉和新的基于SRS的可穿戴解决方案之间的差异。考虑到使用线性解决方案来准确量化动态步态运动期间三轴关节运动的复杂性，对进行多次步行试验的20名参与者进行了测量。参与者的步态数据，然后升级（SRS），时间对齐（基于右脚跟罢工），并使用滤波方法平滑。基于平均绝对误差（MAE; 1.54）、均方根误差（RMSE; 1.96）和绝对R-2（R-2; 0.854），开发了多变量线性模型以评估拟合优度。对两种和三种SRS组合进行了评价，以确定是否可以使用更少的传感器获得相似的拟合评分。内翻（基于MAE和RMSE）和跖屈（基于R-2）传感器移除提供了第二佳拟合评分。鉴于分数指示高水平的适配，随着进一步的开发，基于SRS的可穿戴解决方案具有在基于步态的任务期间以3D运动捕获系统的准确度测量运动的潜力。
The purpose of this study was to use 3D motion capture and stretchable soft robotic sensors (SRS) to collect foot-ankle movement on participants performing walking gait cycles on flat and sloped surfaces. The primary aim was to assess differences between 3D motion capture and a new SRS-based wearable solution. Given the complex nature of using a linear solution to accurately quantify the movement of triaxial joints during a dynamic gait movement, 20 participants performing multiple walking trials were measured. The participant gait data was then upscaled (for the SRS), time-aligned (based on right heel strikes), and smoothed using filtering methods. A multivariate linear model was developed to assess goodness-of-fit based on mean absolute error (MAE; 1.54), root mean square error (RMSE; 1.96), and absolute R-2 (R-2; 0.854). Two and three SRS combinations were evaluated to determine if similar fit scores could be achieved using fewer sensors. Inversion (based on MAE and RMSE) and plantar flexion (based on R-2) sensor removal provided second-best fit scores. Given that the scores indicate a high level of fit, with further development, an SRS-based wearable solution has the potential to measure motion during gait- based tasks with the accuracy of a 3D motion capture system.