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This study proposes a new radar‐based human body and limb motion recognition method that exploited the temporal sequentiality of the motions. A stacked gated recurrent units network (SGRUN) is adopted to extract the dynamic sequential human motion patterns. Since the time‐varying Doppler and micro‐Doppler signatures can commendably represent such motion patterns, the spectrogram is utilised as the input sequence of the SGRUN. Numerical experiments verify that an SGRUN with two 34‐neuron gated recurrent unit layers well classifies and recognises six distinct human body and limb motion types.
Wang et al. (Mon,) studied this question.