Showing 2 open source projects for "model-builder"

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    WiFi DensePose

    WiFi DensePose

    Turn WiFi signals into real-time human pose estimation and detection

    ...It is designed to showcase the emerging field of RF-based sensing, where machine learning models interpret wireless channel data to reconstruct human movement and posture. The repository includes components for data processing, model inference, and real-time visualization, making it suitable for research and experimental deployments. Its architecture emphasizes performance and reproducibility, allowing developers to explore non-visual motion capture systems using accessible hardware. Overall, WiFi DensePose functions as an advanced research-grade toolkit for WiFi-based human sensing and pose estimation.
    Downloads: 484 This Week
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  • 2
    Simulation model of IEEE 802.16e for ns-2
    Downloads: 0 This Week
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