Publication Type

Journal Article

Version

publishedVersion

Publication Date

5-2024

Abstract

Running is a popular and accessible form of aerobic exercise, significantly benefiting our health and wellness. By monitoring a range of running parameters with wearable devices, runners can gain a deep understanding of their running behavior, facilitating performance improvement in future runs. Among these parameters, breathing, which fuels our bodies with oxygen and expels carbon dioxide, is crucial to improving the efficiency of running. While previous studies have made substantial progress in measuring breathing rate, exploration of additional breathing monitoring during running is still lacking. In this work, we fill this gap by presenting BreathPro, the first breathing mode monitoring system for running. It leverages the in-ear microphone on earables to record breathing sounds and combines the out-ear microphone on the same device to mitigate external noises, thereby enhancing the clarity of in-ear breathing sounds. BreathPro incorporates a suite of well-designed signal processing and machine learning techniques to enable breathing mode detection with superior accuracy. We implemented BreathPro as a smartphone application and demonstrated its energy-efficient and real-time execution.

Keywords

Audio Processing, Breathing Analysis, Breathing Mode, Earables, Running Monitoring

Discipline

Software Engineering | Sports Studies

Research Areas

Software and Cyber-Physical Systems

Publication

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Volume

8

Issue

2

First Page

1

Last Page

25

ISSN

2474-9567

Identifier

10.1145/3659607

Publisher

Association for Computing Machinery (ACM)

Copyright Owner and License

Authors CC-BY

Additional URL

https://doi.org/10.1145/3659607

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