Machine Learning Models for Indoor Person Monitoring using Radar Signals (PhD) KU Leuven
This thesis aims to exploit a commercial frequency modulated millimetre wave (FMCW) radar and machine learning algorithms to recognise human indoor activity which is a principal feature in many context like patient monitoring and smart homes. This radar operates in the frequency range of 60 Ghz and 64 Ghz and can get the parameters range, velocity and position of each object in its field of view. By using a set of signal processing algorithms ...