可穿戴计算机
机器人
软件可移植性
计算机科学
压阻效应
动力外骨骼
应变计
外骨骼
可穿戴技术
运动捕捉
标准差
模拟
人工智能
工程类
运动(物理)
电气工程
嵌入式系统
数学
统计
程序设计语言
作者
Chiara Basla,Anna-Maria Georgarakis,Markus Reichmuth,Haotian Chen,Peter Wolf,Stéphanie P. Lacour,Robert Riener,Michele Xiloyannis
标识
DOI:10.1109/icorr55369.2022.9896479
摘要
Soft wearable robots to assist human movements, such as exosuits, have rapidly gained attention thanks to their compliance, low weight and accessibility. However, force measurement in exosuits still rely on load cells and rigid sensors that are not wearable or unsuitable for applications outside the lab. Soft, stretchable and lightweight sensors that become invisible when integrated in an exosuit and perfectly conform to the human body represent a promising alternative. In this work, we developed a wearable sensing system based on a soft stretchable silicone-based strain gauge to measure the forces acting in the passive elastic elements of an exosuit. To measure sensor's accuracy, two unimpaired participants walked on a treadmill at speeds between 0.9 and 2.1 $\text{m}\text{s}^{-1}$. When comparing our solution to a state-of-the-art motion capture system, we found an average root mean square error in force estimation of 12.5% and a standard deviation of 7.4%. Furthermore, we showed the portability of our sensory system by monitoring the forces exerted by the wearable robot during outdoor walking. Our study shows the potential of using stretchable sensors to monitor walking patterns in studies outside the lab and to control human-robot interaction.
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