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)
City or Country
New York
Citation
HU, Changshuo; KANDAPPU, Thivya; LIU, Yang; MASCOLO, Cecilia; and MA, Dong.
BreathPro: Monitoring breathing mode during running with earables. (2024). Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 8, (2), 1-25.
Available at: https://ink.library.smu.edu.sg/sis_research/8813
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Additional URL
https://doi.org/10.1145/3659607