Development of high sensitivity composite sensors for proprioceptive applications

Muhamad Daniyal Hassan , Saif ur Rehman , Irina Cristian , Saad Nauman
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Abstract

This study describes the fabrication of extremely sensitive piezoresistive composite sensors designed to detect human motion and speech. Starting out, a solution of thermoplastic polyurethane (TPU) was formed in dimethyl formamide (DMF) with a concentration of 35 % weight to volume. The solution was subsequently spun using a custom-built centrifugal spinning setup to produce TPU fibers. Following their fabrication through spinning, TPU fibers were immersed in a solution of carbon nanoparticles (CNPs) dispersed in tetra hydrofuran (THF), having a concentration of 25 %w/v, for dip coating TPU fibers with CNPs. This resulted in the formation of highly piezoresistive fibers having strain sensing capability. These fibers were then spun into the form of a yarn and tested as a strain sensor for proprioceptive applications. The composite sensors exhibited exceptional repeatability in tests involving continuous stretching and relaxing for more than 5000 cycles. The composite strain sensor demonstrated remarkable extensibility as well. The composite strain sensor was attached to different body parts such as the elbow, knees, fingers, and ankles to detect and track motion. It was found that the sensor could measure and track the angle, position, and frequency of motion in all of these scenarios. The sensor's remarkable sensitivity allowed it to detect different spoken words and letters, in addition to recognizing the action of swallowing in humans. The results show that the newly developed composite strain sensors are suitable for proprioceptive and speech recognition applications in soft robotics, wearable devices, and human-machine interactions.

Abstract Image

开发用于本体感觉应用的高灵敏度复合传感器
本研究介绍了如何制造出极其灵敏的压阻复合传感器,用于检测人体运动和语音。首先,在二甲基甲酰胺(DMF)中形成重量体积比为 35% 的热塑性聚氨酯(TPU)溶液。随后,使用定制的离心纺丝装置对溶液进行纺丝,生产出热塑性聚氨酯纤维。通过纺丝制造出热塑性聚氨酯纤维后,将其浸入分散在四氢呋喃(THF)中的碳纳米粒子(CNPs)溶液(重量比体积浓度为 25%)中,用 CNPs 对热塑性聚氨酯纤维进行浸涂。这样就形成了具有应变传感能力的高压阻纤维。然后将这些纤维纺成纱线状,并作为本体感觉应用的应变传感器进行测试。在连续拉伸和放松超过 5000 次的测试中,复合传感器表现出卓越的可重复性。复合应变传感器还表现出卓越的延展性。复合应变传感器被安装在不同的身体部位,如肘部、膝盖、手指和脚踝,以检测和跟踪运动。结果发现,该传感器可以测量和跟踪所有这些情况下的运动角度、位置和频率。传感器的灵敏度极高,除了能识别人类的吞咽动作外,还能检测到不同的口语单词和字母。研究结果表明,新开发的复合应变传感器适用于软机器人、可穿戴设备和人机交互中的本体感觉和语音识别应用。
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