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一种用于软式可穿戴机器人力估计的可拉伸传感器。

A stretchable sensor for force estimation in soft wearable robots.

出版信息

IEEE Int Conf Rehabil Robot. 2022 Jul;2022:1-6. doi: 10.1109/ICORR55369.2022.9896479.

Abstract

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.

摘要

软性可穿戴机器人可以辅助人体运动,例如外骨骼,由于其柔顺性、低重量和易操作性而受到了广泛关注。然而,外骨骼中的力测量仍然依赖于不能穿戴或不适合实验室外应用的称重传感器和刚性传感器。当集成在外骨骼中时变得不可见且与人体完美贴合的软性、可拉伸和轻质传感器代表了一种很有前途的替代方案。在这项工作中,我们开发了一种基于软可拉伸硅基应变计的可穿戴传感系统,用于测量外骨骼中无源弹性元件上的作用力。为了测量传感器的精度,两名非残障参与者在跑步机上以 0.9 到 2.1 $\text{m}\text{s}^{-1}$ 的速度行走。当将我们的解决方案与最先进的运动捕捉系统进行比较时,我们发现力估计的平均均方根误差为 12.5%,标准差为 7.4%。此外,我们通过监测可穿戴机器人在户外行走时所施加的力,展示了我们的传感系统的便携性。我们的研究表明,使用可拉伸传感器来监测实验室外的行走模式以及控制人机交互具有潜力。

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