Activity recognition based on sensing the reflected signals will enable novel services in next generation wireless networks. This paper proposes an approach to achieve high-accuracy activity recognition in complex wireless environments using time-frequency analysis of radar Doppler signatures. The proposed approach is validated via experimentation employing a multiple-input–multiple-output radar at millimeter waves.
Activity Recognition from Doppler Signatures via mmWave MIMO Radar
Alessandro VaccariPrimo
;Carlos A. Gomez-VegaSecondo
;Gianluca Torsoli;Andrea ContiUltimo
2024
Abstract
Activity recognition based on sensing the reflected signals will enable novel services in next generation wireless networks. This paper proposes an approach to achieve high-accuracy activity recognition in complex wireless environments using time-frequency analysis of radar Doppler signatures. The proposed approach is validated via experimentation employing a multiple-input–multiple-output radar at millimeter waves.File in questo prodotto:
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