disi-unibo-nlp/uwb-nlos-human-detection
Dataset for "Human Being Detection from UWB NLOS Signals: Accuracy and Generality of Advanced Machine Learning Models"
This project provides a specialized dataset to help researchers and engineers develop systems that can detect humans using Ultra-Wideband (UWB) signals, even when there's no direct line of sight. It includes raw UWB signal data from various scenarios where humans are present or absent, enabling the training and evaluation of advanced machine learning models for human presence detection. Security system developers, smart building designers, and health monitoring system creators would find this valuable.
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Use this if you are developing or evaluating machine learning models for human detection in environments where direct visual or line-of-sight sensing is not feasible.
Not ideal if you need a real-time, deployable human detection system rather than data for model development and research.
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Feb 20, 2022
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