e3-Skin with Machine Learning Capability
“Here, we [engineers at Cal Tech] , present a universal semisolid extrusion–based three-dimensional printing technology to fabricate an epifluidic [def: epidermal + microfluidic] elastic electronic skin (e3-skin) with high-performance multimodal physiochemical sensing capabilities. We demonstrate that the e3-skin can serve as a sustainable surveillance platform to capture the real-time physiological state of individuals during regular daily activities. We also show that by coupling the information collected from the e3-skin with machine learning, we were able to predict an individual’s degree of behavior impairments (i.e., reaction time and inhibitory control) after alcohol consumption. The e3-skin paves the path for future autonomous manufacturing of customizable wearable systems that will enable widespread utility for regular health monitoring and clinical applications.” MORE
Image Credit: Science