Abnormal Movement Detection when Walking on Stairs using Doppler Radar

Abstract

In this paper, we propose a method for classifying multiple gait patterns including abnormal movements when walking on stairs using micro-Doppler radar. We measured three types of movements while walking down the stairs, including an abnormal movement that mimics falling, and then predicted the classification using CNN based on the spectrogram derived from the STFT. As a result, we confirmed that the classification accuracies were more than 97%.