Department of Biomedical Engineering , National University of Singapore , Singapore 117583 , Singapore.
NUS Graduate School for Integrative Sciences and Engineering , National University of Singapore , Singapore 119077 , Singapore.
ACS Appl Mater Interfaces. 2019 Sep 11;11(36):33347-33355. doi: 10.1021/acsami.9b10937. Epub 2019 Aug 27.
Wearable sensors for smart textile applications have garnered tremendous interest in recent years and can have enormous potential for human machine interfaces and digital health monitoring. Here, we report a soft capacitive microfiber sensor that can be woven seamlessly into textiles for strain measurement. Comprising a dual-lumen elastomeric microtube and liquid metallic alloy, the microfiber sensor enables continual strain perception even after being completely severed. In addition, our microfiber sensor is highly stretchable and flexible and exhibits tunable sensitivity, excellent linearity, a fast response, and negligible hysteresis. More importantly, the microfiber sensor is minimally affected by train rate and compression during strain sensing. Even under drastic environmental changes, the microfiber sensor presents good electrical stability. By integrating the microfiber sensor imperceptibly with textiles, we devise smart textile wearables to interpret hand gestures, detect limb motion, and monitor respiration rate. We believe that this sensor presents enormous potential in unobtrusive continuous health monitoring.
近年来,可用于智能纺织品的可穿戴传感器引起了极大的关注,它们在人机界面和数字健康监测方面具有巨大的潜力。在这里,我们报告了一种软电容微纤维传感器,它可以无缝编织到纺织品中用于应变测量。该微纤维传感器由双内腔弹性微管和液态金属合金组成,即使被完全切断,也能持续感知应变。此外,我们的微纤维传感器具有高拉伸性和柔韧性,表现出可调灵敏度、优异的线性度、快速响应和可忽略的滞后。更重要的是,微纤维传感器在应变感测过程中受应变率和压缩的影响很小。即使在剧烈的环境变化下,微纤维传感器也具有良好的电稳定性。通过将微纤维传感器与纺织品无缝集成,我们设计了智能纺织品可穿戴设备来解释手势、检测肢体运动和监测呼吸频率。我们相信这种传感器在非侵入式连续健康监测方面具有巨大的潜力。