Harnessing Smartwatch Microphone Sensors for Cough Detection and Classification

• URL: http://arxiv.org/abs/2401.17738v2
• Date: Sat, 20 Apr 2024 07:50:27 GMT
• Title: Harnessing Smartwatch Microphone Sensors for Cough Detection and Classification
• Authors: Pranay Jaiswal, Haroon R. Lone,
• Abstract summary: 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. We processed this data using a structured approach, resulting in 223 positive cough samples.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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