  This study presents the progress of our recent research regarding wireless
measurements of the human body. First, we explain radar imaging algorithms for
screening passengers at security checkpoints that can process data faster than
existing algorithms to generate accurate and high-resolution images of human
bodies. Second, we introduce signal processing techniques for accurately
measuring radar micro-Doppler signals associated with human motions and
activities. Finally, we present radar signal processing algorithms for
measuring human respiration, heartbeat, and other types of motion. Such
algorithms can be applied in various fields including healthcare, security,
biometric identification, and man-machine interfaces. These fields have one
thing in common: prior knowledge about the human shape, motion, and physiology
are effectively exploited to improve performance by optimizing the radar
systems and signal processing algorithms.
