Mattmann Corinne, Clemens Frank, Tröster Gerhard
Wearable Computing Lab, ETH Zürich, Gloriastrasse 35, 8092 Zürich, Switzerland.
EMPA Dübendorf, Überlandstrasse 129, 8600 Dübendorf, Switzerland.
Sensors (Basel). 2008 Jun 3;8(6):3719-3732. doi: 10.3390/s8063719.
In this paper a stain sensor to measure large strain (80%) in textiles is presented. It consists of a mixture of 50wt-% thermoplastic elastomer (TPE) and 50wt-% carbon black particles and is fiber-shaped with a diameter of 0.315mm. The attachment of the sensor to the textile is realized using a silicone film. This sensor configuration was characterized using a strain tester and measuring the resistance (extension-retraction cycles): It showed a linear resistance response to strain, a small hysteresis, no ageing effects and a small dependance on the strain velocity. The total mean error caused by all these effects was +/-5.5% in strain. Washing several times in a conventional washing machine did not influence the sensor properties. The paper finishes by showing an example application where 21 strain sensors were integrated into a catsuit. With this garment, 27 upper body postures could be recognized with an accuracy of 97%.
本文介绍了一种用于测量纺织品中大应变(80%)的应变传感器。它由50重量百分比的热塑性弹性体(TPE)和50重量百分比的炭黑颗粒混合而成,呈纤维状,直径为0.315毫米。传感器通过硅胶薄膜附着在纺织品上。使用应变测试仪并测量电阻(拉伸-收缩循环)对这种传感器配置进行了表征:它对应变呈现出线性电阻响应、小滞后、无老化效应且对应变速度的依赖性小。所有这些效应引起的总平均误差在应变方面为±5.5%。在传统洗衣机中洗涤几次不会影响传感器性能。本文最后展示了一个示例应用,其中21个应变传感器被集成到一件紧身衣中。通过这件衣服,可以以97%的准确率识别27种上身姿势。