软康复机器人机织与钩针应变传感器的制作与评价。

Meghan Newkirk, J Guillermo Colli Alfaro, Ana Luisa Trejos
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引用次数: 0

摘要

最近的技术进步使得使用柔软的可穿戴机电设备进行肌肉骨骼康复成为可能。软传感器是这些设备的关键组件,因为它们用于用户数据收集和设备控制。然而,目前的制造方法是昂贵的,复杂的,并且不适用于那些资源匮乏的社区。为了解决这个问题,本文介绍了用钩编或织造方法制造的低成本纺织品传感器的进展。从工作范围、线性、滞后、灵敏度和可重复性等方面对四种不同类型传感器的性能进行了评价。结果表明,用弹性和镀银导电线制成的全钩针传感器性能最好。该传感器具有高重复性,良好的工作范围(49.76%),相对较好的滞后($20.12 \pm 19$)和线性($R^{2}$ = $0.7741 \pm 0.03$)。总的来说,这些结果表明,使用更简单的技术(如钩针编织)创建的软纺织品应变传感器有潜力用于需要跟踪人体运动的应用,这意味着它们可以用作软可穿戴机器人的组成部分。这种低成本的方法可以使软可穿戴康复技术更容易获得和负担得起,为更广泛的实施和改善患者的治疗效果铺平道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fabrication and Evaluation of Woven and Crocheted Strain Sensors for Soft Rehabilitation Robots.

Recent advancements in technology have made possible the use of soft wearable mechatronic devices for musculoskeletal rehabilitation. Soft sensors are crucial components of these devices, as they are used for user data collection and device control. However, current fabrication methods are expensive, complex, and not available to those in low resource communities. To address this issue, this paper presents advances in low-cost textile sensors created using either crocheting or weaving. The performance of four different types of sensors was evaluated in terms of working range, linearity, hysteresis, sensitivity, and repeatability. The results showed that a fully crocheted sensor made with elastic and silver-plated conductive thread performed the best. This sensor demonstrated high repeatability, an excellent working range (49.76%), and relatively good hysteresis ($20.12 \pm 19$) and linearity ($R^{2}$ of $0.7741 \pm 0.03$). Overall, these results indicate that soft textile strain sensors created using simpler techniques, such as crocheting, have the potential to be used in applications requiring tracking of human motion, meaning that they could be used as integral components of soft wearable robots. This low-cost approach could make soft wearable rehabilitation technologies more accessible and affordable, paving the way for broader implementation and improved patient outcomes.

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