ドップラーレーダを用いた階段歩行時の異常動作検知

抄録

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%.