Classification of Motion Differences While Ascending a Step Caused by Differences of Pants Using Doppler Radars

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.