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The use of cloth face coverings and face masks has become widespread in light of the COVID-19 pandemic. This paper presents a method of using low cost wirelessly connected carbon dioxide (CO 2 ) sensors to measure the effects of properly and improperly worn face masks on the concentration distribution of exhaled breath around the face. Four types of face masks are used in two indoor environment scenarios. CO 2 as a proxy for exhaled breath is being measured with the Sensirion SCD30 CO 2 sensor, and data are being transferred wirelessly to a base station. The exhaled CO 2 is measured in four directions at various distances from the head of the subject, and interpolated to create spatial heat maps of CO 2 concentration. Statistical analysis using the Friedman's analysis of variance (ANOVA) test is carried out to determine the validity of the null hypotheses (i.e., distribution of the CO 2 is same) between different experiment conditions. Results suggest CO 2 concentrations vary little with the type of mask used; however, improper use of the face mask results in statistically different CO 2 spatial distribution of concentration. The use of low cost sensors with a visual interpolation tool could provide an effective method of demonstrating the importance of proper mask wearing to the public.

Use of Multiple Low Cost Carbon Dioxide Sensors to Measure Exhaled Breath Distribution with Face Mask Type and Wearing Behaviour