Turetta, Cristian and Varasteh, Morteza and Kolozali, Şefki and Pravadelli, Graziano (2024) Leveraging mmWave for Contactless Breath Rate Estimation of Moving Subjects. In: 2024 IEEE International Conference on Digital Health (ICDH), 2024-07-07 - 2024-07-13, Shenzhen, China.
Turetta, Cristian and Varasteh, Morteza and Kolozali, Şefki and Pravadelli, Graziano (2024) Leveraging mmWave for Contactless Breath Rate Estimation of Moving Subjects. In: 2024 IEEE International Conference on Digital Health (ICDH), 2024-07-07 - 2024-07-13, Shenzhen, China.
Turetta, Cristian and Varasteh, Morteza and Kolozali, Şefki and Pravadelli, Graziano (2024) Leveraging mmWave for Contactless Breath Rate Estimation of Moving Subjects. In: 2024 IEEE International Conference on Digital Health (ICDH), 2024-07-07 - 2024-07-13, Shenzhen, China.
Abstract
The breath rate (BR) measurement is fundamental for comprehensive human health monitoring in many scenarios. Accurately estimating BR, particularly in moving subjects, poses several challenges, including the necessity for direct physical contact with the individual or constraints on the individual’s movements and mobility. In this paper, a methodology is proposed that employs frequency-modulated continuous wave (FMCW) radar, operating at a frequency of 77 GHz, to estimate the BR of subjects moving freely within an environment. The proposed methodology features a pre-processing pipeline designed to refine the radar’s captured signals. The processed signals are used to accurately track the subject, and estimate their corresponding BR. Preliminary outcomes of our investigation indicate that the BR estimates generated by our system exhibit a mean absolute error (MAE) of 2.48 breaths per minute, as averaged across four subjects when compared with the ground truth.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Contactless breath rate monitoring; Indoor monitoring; Millimeter-wave; Radar technology |
| Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 13 Jul 2026 13:27 |
| Last Modified: | 13 Jul 2026 13:27 |
| URI: | http://repository.essex.ac.uk/id/eprint/41635 |
Available files
Filename: Leveraging_mmWave_for_Contactless_Breath_Rate_Estimation_of_Moving_Subjects.pdf