Researchers have introduced WhoFi, an AI-powered deep learning pipeline that leverages Wi-Fi Channel State Information (CSI) for person re-identification (Re-ID), achieving a remarkable 95.5% Rank-1 accuracy on the NTU-Fi dataset. Traditional visual Re-ID systems, reliant on convolutional neural networks (CNNs) and features like color histograms or Histograms of Oriented Gradients (HOG), falter under occlusions, varying […]

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Aman Mishra

Source: gbHackers
Source Link: https://gbhackers.com/ai-driven-wi-fi-biometrics-whofi-tracks-humans-behind-walls/