Film-based stretchable strain sensors, a large category in this field, have been broadly designed and fabricated for monitoring human motion based on the piezoresistive property of sensing films. Great challenges are present in effectively characterizing the strain sensors by modeling, due to the complicated microstructure and the large amount of nano composition. In this work, we develop an effective method to characterize the stretchable strain sensors by making use of image processing on crack images. As a result, the sensing mechanism and the sensing properties that correspond to the crack behaviors have been illustrated by programming without any intricate theory or electrical test. Besides, the strain sensors with multi-width or any shape are effortless to be characterized by the reported image technique, even before they are fabricated. The above method has been demonstrated to be accurate, low-cost, and effective by comparing with the electrical test, which has excellent potential to be utilized in the sensor design and size optimization.

基于膜的可拉伸应变传感器是该领域中的一大类，已经广泛设计和制造了用于基于传感膜的压阻特性来监测人体运动的传感器。由于复杂的微观结构和大量的纳米成分，通过建模有效地表征应变传感器面临着巨大的挑战。在这项工作中，我们开发了一种有效的方法，通过利用裂纹图像的图像处理来表征可拉伸应变传感器。结果，已经通过编程说明了与裂纹行为相对应的感测机制和感测特性，而没有进行任何复杂的理论或电气测试。此外，即使在制造之前，具有多种宽度或任何形状的应变传感器也可以毫不费力地通过报道的图像技术进行表征。