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UbiBreathe: A Ubiquitous non-Invasive WiFi-based Breathing Estimator
Abstract
Monitoring breathing rates and patterns helps in the diagnosis and potential avoidance of various health problems. Current solutions for respiratory monitoring, however, are usually invasive and/or limited to medical facilities. In this paper, we propose a novel respiratory monitoring system, UbiBreathe, based on ubiquitous off-the-shelf WiFi-enabled devices. Our experiments show that the received signal strength (RSS) at a WiFi-enabled device held on a person's chest is affected by the breathing process. This effect extends to scenarios when the person is situated on the line-of-sight (LOS) between the access point and the device, even without holding it. UbiBreathe leverages these changes in the WiFi RSS patterns to enable ubiquitous non-invasive respiratory rate estimation, as well as apnea detection.
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Cited by
WiFi Sensing with Channel State Information: A Survey
Ma, Y., Zhou, G., & Wang, S. (2020) · ACM Computing Surveys · doi:10.1145/3310194 · Cited by 869
A Survey of Healthcare Internet of Things (HIoT): A Clinical Perspective
Habibzadeh, H., Dinesh, K., Rajabi Shishvan, O., Boggio-Dandry, A., Sharma, G., & Soyata, T. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2946359 · Cited by 417
Wireless Sensing for Human Activity: A Survey
Liu, J., Liu, H., Chen, Y., Wang, Y., & Wang, C. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2934489 · Cited by 414
Recent development of respiratory rate measurement technologies
Liu, H., Allen, J., Zheng, D., & Chen, F. (2019) · Physiological Measurement · doi:10.1088/1361-6579/ab299e · Cited by 266
Fog Computing Architecture, Evaluation, and Future Research Directions
Aazam, M., Zeadally, S., & Harras, K. A. (2018) · IEEE Communications Magazine · doi:10.1109/mcom.2018.1700707 · Cited by 253
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Metadata
- Authors
- Abdelnasser, H., Harras, K. A., & Youssef, M.
- Venue
- Proceedings of the 16th ACM International Symposium on Mobile Ad Hoc Networking and Computing
- Publisher
- ACM
- Published
- 2015-06-22
- Pages
- 277-286
- OpenAlex
- W2085522395
- Cited by
- 267
- References
- 0
- FWCI
- 41.42
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: UbiBreathe: A Ubiquitous non-Invasive WiFi-based Breathing Estimator. https://app.cochat.ai/papers/10.1145/2746285.2755969
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- Abdelnasser, H., Harras, K. A., & Youssef, M. (2015). UbiBreathe: A Ubiquitous non-Invasive WiFi-based Breathing Estimator. Proceedings of the 16th ACM International Symposium on Mobile Ad Hoc Networking and Computing. https://doi.org/10.1145/2746285.2755969
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
