Respiration monitoring in WiFi CSI sensing refers to the detection and measurement of a human subject's breathing rate and pattern by analyzing subtle, periodic fluctuations in the channel state information caused by the small chest movements associated with inhalation and exhalation. It matters to the field because it demonstrates that WiFi infrastructure can perform continuous, passive, contactless health sensing without dedicated wearable devices or cameras, establishing a foundational use case that validates the sensitivity of CSI to sub-centimeter-scale physical changes. Key variants include resting respiration rate estimation in controlled single-occupant scenarios, multi-person respiration separation where signals from multiple subjects must be disentangled, and through-wall or non-line-of-sight configurations that extend practical deployment to smart building and healthcare monitoring contexts.
Source Papers
- An Overview on IEEE 802.11bf: WLAN Sensing ↗ — An Overview on IEEE 802.11bf: WLAN Sensing
- Channel State Information from Pure Communication to Sense and Track Human Motion: A Survey ↗ — Channel State Information from Pure Communication to Sense a
- Deep Learning-Enhanced Human Sensing with Channel State Information: A Survey ↗ — Deep Learning-Enhanced Human Sensing with Channel State Info
- WiFi CSI-based device-free sensing: from Fresnel zone model to CSI-ratio model ↗ — WiFi CSI-based device-free sensing: from Fresnel zone model
- WiFi as Infrastructure: Valuation Impact of CSI Sensing on Smart Buildings and REIT Portfolios ↗ — WiFi as Infrastructure: Valuation Impact of CSI Sensing on S