Abstract
The application of Doppler radar to classify the motion differences related to the differences of pants is presented. The deep learning of the Doppler radar spectrogram using a convolutional neural network achieved a 90% of the accuracy for the classification of whether the participants wore denim pants or trekking pants while ascending a step.
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