Robust Respiration Monitoring Under Body Motion Interference
In recent years, wireless signals have been extensively investigated for contactless human respiration monitoring. However, most wireless sensing systems encounter challenges when the target exhibits body movements. In this demo, we present a solution to mitigate the impact of body motion on contactless respiration monitoring. By employing novel signal processing techniques, body motion can be first estimated and subsequently eliminated from the signal reflected signal by the chest. We prototype the proposed system using a MIMO mmWave radar. Evaluations in real-world environments demonstrate the effectiveness of the solution.
Authors
- Xinyu Xue (ORCID: https://orcid.org/0009-0008-3113-5924)
- Badii Jouaber (ORCID: https://orcid.org/0000-0003-1457-1800)
- Daqing Zhang (ORCID: https://orcid.org/0000-0002-6608-1267)
- Zhaoxin Chang (ORCID: https://orcid.org/0000-0002-7516-0055)
- Fusang Zhang (ORCID: https://orcid.org/0000-0002-2529-8021)
- Jie Xiong (ORCID: https://orcid.org/0000-0002-5396-4554)
- Weiyan Chen (ORCID: https://orcid.org/0000-0003-2004-1136)
Institutions
- China Mobile (China) (CN)
- Chinese Academy of Sciences (CN)
- Peking University (CN)
- University of Massachusetts Amherst (US)
- Microsoft Research Asia (China) (CN)
- Institute of Software (CN)
- Institut Polytechnique de Paris (FR)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Published
- 2024-12-04
- DOI
- https://doi.org/10.1145/3636534.3698835
- Citations
- 4
- Primary Topic
- Non-Invasive Vital Sign Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 0.74