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.
@article{arxiv.2401.17738,
title = {Harnessing Smartwatch Microphone Sensors for Cough Detection and Classification},
author = {Pranay Jaiswal and Haroon R. Lone},
journal= {arXiv preprint arXiv:2401.17738},
year = {2024}
}