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Introduces an open-source project called RuView that uses CSI data from ordinary WiFi signals and AI models to achieve camera-free indoor human perception, including people counting, pose estimation, breathing and heart rate monitoring, and fall detection. It has gained over 70k stars on GitHub.
The open-source project RuView leverages Wi-Fi signals and AI technology to achieve camera-free through-wall sensing, capable of real-time human pose recognition, breathing monitoring, and fall detection. It has garnered significant attention on GitHub. Emphasizing privacy and security, the project processes all data locally, supporting easy deployment via ESP32 or Docker.
SAM 3D Body is a promptable 3D human mesh recovery model using a novel parametric representation (MHR) and encoder-decoder architecture, achieving state-of-the-art performance with strong generalization. The model supports auxiliary prompts and is open-source.