RuView turns WiFi signals into 3D pose estimation

RuView's "WiFi DensePose" implementation is a fascinating attempt to democratize high-end RF sensing, though it sits in a gray area between breakthrough and "AI slop."

• –Based on CMU's DensePose from WiFi research, it uses Channel State Information (CSI) to detect body movement and heart rates.
• –Rust-based edge processing achieves 50ms latency on microcontrollers, eliminating the need for cloud compute or specialized radar.
• –Community critics have flagged potential hardcoded simulation data in the repo, questioning if the live implementation is as robust as the viral demos suggest.
• –Through-wall sensing capabilities raise significant new privacy questions as RF-based passive monitoring outpaces current surveillance regulation.