Cover your cough: detection of respiratory events with confidence using a smartwatch
Proceedings of the Seventh Workshop on Conformal and Probabilistic Prediction and Applications, PMLR 91:114-131, 2018.
Cough and sneeze are the most common means to spread respiratory diseases amongst humans. Existing approaches to detect coughing and sneezing events are either intrusive or do not provide any reliability measure. This paper offers a novel proposal to reliably and non-intrusively detect such events using a smartwatch as the underlying hardware, Conformal Prediction as the underlying software. We rigorously analysed the performances of our proposal with the Harvard ESC Environmental Sound dataset, and real coughing samples taken from a smartwatch in different ambient noises.