Remote Estimation of Pedestrian’s Height Using Micro-Doppler Radar

This paper proposes a Doppler radar-based method to estimate pedestrian height with a regression model using a convolutional neural network. Regarding the experiments with 16 adults (average height: 171.3 cm), the results showed that the mean absolute error for the height estimation was less than 2 cm. Furthermore, we found the leg motion information is more effective than the head and torso motions for height estimation.