  This study investigates the potential of using smartwatches with built-in
microphone sensors for monitoring coughs and detecting various cough types. We
conducted a study involving 32 participants and collected 9 hours of audio data
in a controlled manner. Afterward, we processed this data using a structured
approach, resulting in 223 positive cough samples. We further improved the
dataset through augmentation techniques and employed a specialized 1D CNN
model. This model achieved an impressive accuracy rate of 98.49% while
non-walking and 98.2% while walking, showing smartwatches can detect cough.
Moreover, our research successfully identified four distinct types of coughs
using clustering techniques.
