File:Channel-State-Information-Changes-in-multipath-CSI-caused-by-human-f1aa1982.jpg

Changes in multipath CSI caused by human presence, movement, and respiration allow passive Wi-Fi sensing to infer occupancy and biometric activity without any dedicated sensor.

AI-generated illustration for Channel State Information, made with fal.ai (fal-ai/flux-2-pro).

Prompt: A cross-section view of a room with a Wi-Fi router on one side and a person standing, walking, and breathing on the other side, with wireless signal wavefronts propagating through the air and subtly distorting around the human body, with overlaid waveform graphs showing how the received channel signal fluctuates in correspondence with the person's movement and breathing rhythm. Style: Detailed digital illustration blending technical schematic linework with painterly atmospheric rendering, as if a scientific textbook were reimagined by a noir graphic novelist. Colour palette of deep midnight blue, charcoal black, and slate grey as foundations, accented with electric teal, bioluminescent green, and cold amber. Lighting is dramatic and directional, suggesting surveillance or laboratory environments — pools of cold light against deep shadow, with occasional glowing circuit-trace highlights. Compositions favour tight framing with layered depth: foreground technical detail dissolving into abstracted background geometry. Detail level is high but purposeful, prioritising legible structure over decorative complexity. Mood is clinical yet ominous, precise yet unsettling. No text, lettering, captions, logos, watermarks or borders unless it is a technical drawing.