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Pallotta, Luca (author), Cauli, Michela (author), Clemente, Carmine (author), Fioranelli, F. (author), Giunta, Gaetano (author), Farina, Alfonso (author)
In this paper a method capable of automatically classify radar signals of human hand-gestures exploiting the micro-Doppler signature is designed. In particular, the methodology focuses on the extraction of the Chebyshev moments from the cadence velocity diagram (CVD) of each recorded signal. The algorithm benefits from interesting properties of...
conference paper 2021