A conformable sensory face mask for decoding biological and environmental signals

Face masks are used to reduce exposure viruses and other environmental hazards such as air pollution, integrating wearable electronics into face could provide valuable insights personal public health. However, relevant devices typically designed only monitor biological information breathing patterns, do not about the status of mask. Here we report a conformable sensory interface that can be attached inside any user-supplied mask signals related infectious diseases, conditions wear Multimodal from wirelessly transmitted server through custom-made mobile app. The system simultaneously multiple signals, including skin temperature, humidity, verbal activity, pattern fit We also develop machine learning algorithm reliably decode position. A