Integration of capillaric strain sensors toward recognition of human movements
Integration of capillaric strain sensors toward recognition of human movements
复制标题
集成毛细管应变传感器以识别人体运动
DOI：
10.1039/d2sd00201a
复制
发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Araci, I. Emre
中科院分区：
文献类型：
--
作者：
Gasvoda, Hudson;Cmager, Nick;Altay, Rana;Lee, Ju Young;Araci, I. Emre
毛细管应变传感器（CSS）基于响应于线性应变的封闭微流体网络的体积膨胀来操作，并且具有在大范围内可调的方向性和灵敏度。CSS用于集成传感器开发的独特优势可以通过消除对密集计算能力的需求和对机器学习算法的依赖来简化人体运动识别。我们借用电子数字电路的策略，将CSS集成到OR和AND配置中。我们已经根据这些策略制造了器件。为了验证它们的功能，我们首先在台式模型上进行了测试。我们已经映射了应变场的传感器使用数字图像相关性，并使用它与我们已经开发的数学程序相结合，以准确地预测集成CSS（iCSS）的响应。最后，我们将iCSS贴片（2 × 2 cm 2）贴在皮肤上，并在人类受试者身上进行测试。结果表明，皮肤应变场映射将是一个使能工具的iCSS设计对人类运动的识别。
Capillaric strain sensors (CSSs) operate based on the volume expansion of closed microfluidic networks in response to linear strain and have tunable directionality and sensitivity in a large range. The unique advantages of CSSs for integrated sensor development can simplify the human movement recognition by eliminating the need for intensive computational power and reliance on machine learning algorithms. We borrowed strategies from electrical digital circuits for the integration of CSSs in OR and AND configurations. We have fabricated devices according to these strategies. To validate their functionality, we first performed tests on a benchtop model. We have mapped the strain field on the sensors using digital image correlation and used it in combination with a mathematical procedure that we have developed to accurately predict the response of the integrated CSSs (iCSSs). Finally, we have skin mounted the iCSS patches (2 × 2 cm2) and conducted tests on a human subject. The results demonstrate that skin-strain-field mapping will be an enabling tool for iCSS design toward the recognition of human movements.