2024
DOI: 10.1088/1757-899x/1320/1/012023
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Spectrogram based Wi-Fi usage activity classification using deep learning

Annamaria Sarbu,
Simion Șuhani,
Mirela Șorecău
et al.

Abstract: The article presents and characterizes the ability of a neural network to distinguish between different Wi-Fi activities based on their distinct spectral features. To achieve this objective, we have built a database containing spectrogram images retrieved by over-the-air measurements of signals emitted in 802.11ax Wi-Fi networks deployed in both the 2.4 GHz and 5 GHz frequency bands. The dataset consists of spectrograms labeled by six distinct user activities, namely file download, speed test, video streaming,… Show more

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