Human Posture Capturing with Millimetre Wave Radars

Millimetre wave (mmWave) radar, as an emerging technique, is increasing in popularity for human activity recognition. In this paper, we study the potential use of mmWave radars for human posture capturing and analysis. We study the mmWave radars from Texas Instruments, in particular the radars' vertical Angle-of-View when detecting human-size subjects. We show that a single radar has a limited beamwidth and can only detect part of a person. In order to obtain a complete image of the person, we use a vertical radar array to improve the Angle-of-View and we show that the radars are capable of capturing a sufficient amount of data for advanced posture analysis.