Abstract
Acoustic sensing has a vital role in the health industry. The application of acoustic sensing includes monitoring breathing, pulse, heart rate, oxygen, and temperature in a patient. It also includes active noise cancellation in headphones, separating vocals from multiple audio channels, and object detection inside a room. It uses different sensors such as temperature, gyroscopic, and proximity sensors to perform the sensing operation. People use smartphones, smartwatches, and other Internet of Things devices that already have some of those sensors. We can leverage such devices to perform acoustic sensing. This will relieve the burden of attaching sensors to the subject. Some of the research in this area includes remembering the indoor locations of a subject by using tags (EchoTag), alerting pedestrians of bumps on the road (BumpAlert), and many more. This project uses smartphones to record acoustic signals from subjects' breathing and provides a robust breathing monitoring approach. This approach offers a novel technique for accurately recording acoustic signals during body movements and noisy environments.