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In order to classify non-rhythmic human motions by ultra-wideband (UWB) radar, a weighted rang-time-frequency transform (WRTFT) method is proposed to extract both Doppler and range features. And the bootstrap-aggregated decision trees (Bagged Trees) classifier is utilized to recognize each non-rhythmic human motion. Experiments show that the proposed method can achieve 92.9% classification accuracy...
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