In recent years, there is an increase in demand to monitor respiration rates for patients in ICU susceptible to cardiac arrest or lung disease. Respiratory parameters during inhalation and exhalation cycles can be measured using ultra-fast relative humidity sensors. This is due to the high moisture content of human breath. Since the COVID-19 pandemic; the use of KN-95 mask has significantly increased and has been shown to limit the spread of the virus. However, there is a lack of understanding the humidity saturation point or “fouling” point of the masks which are indicative of the heath of the mask and its ability to protect against external contaminants. Printed, high sensitivity humidity sensors provide an opportunity to have a real-time measurement of the evolution of respiration and mask fouling. We present a screen-printed silicon-carbide humidity sensor array integrated on to the outside of a KN-95 mask. The sensor matrix is printed onto a polyimide and the interdigitated electrodes are fabricated with a silver ink. The active layer is made from a silicon carbide nano particle dispersion formulation. These materials choices allow the sensor array to be bio-compatible. The humidity sensor array is designed for each cheek of the KN-95 mask and operate independent of each other. During our tests, we controlled the respiratory parameters by applying a simple protocol based on a deep and normal breathing cycle. The two wire resistance data from each sensor will be collected via a nRF5340 DK logic board. Located outside the mask, the sensor matrix sees a reduced moisture saturation and gives a stable measurement. We report the successful fabrication of highly sensitive flexible silicon-carbide humidity sensors. Our results shown that deep and normal breathing could be recorded with accuracy. The use of a sensor matrix makes it possible to achieve this precision and to carry out a cartographic detection, which constitutes an opportunity to reveal new information such as early-stage diseases. Lastly, prolonged exposure of the mask to breathing cycles allows us to visualize an exponential increase in the base-line resistivity of the sensors in the printed matrix, thereby indicating the onset of fouling.