Built to Help Computers Understand Hand Gestures, Tiny Radars Now Identify
  Objects
From: Microwaves and RF Today - 11/17/2016

In recent years, new advances have improved radars to the point where they
can generate rough images of the physical world. Several companies are making
radars that help drones and autonomous cars avoid obstacles using specialized
materials and software.

Now researchers in Scotland have further enhanced what radars can do - using
radar to instantly recognize objects like metals and body parts and
distinguish between them, according to a paper presented last month at the
Symposium on User Interface Software and Technology.

To build the classification system, the researchers used a miniature radar
chip that Google unveiled at its I/O developer’s conference in 2015. The
chip, called Soli, had been designed to track slight finger movements, so
that people can use hand gestures to control computers and smartphones.

Read the entire article and view a video (3:11) at:
http://mwrf.com/mixed-signal-semiconductors/built-help-computers-understand-hand-gestures-tiny-radars-now-identify-o

Links:
RadarCat for object recognition
http://sachi.cs.st-andrews.ac.uk/research/interaction/radarcat-exploits-googles-soli-radar-sensor-for-object-and-material-recognition

RadarCat: Radar Categorization for Input & Interaction (with video 0:30)
http://dl.acm.org/citation.cfm?id=2984515

Soli
https://atap.google.com/soli

The world's first radar-based key technology making the augmented reality
  breakthrough a reality
http://www.infineon.com/cms/en/product/promopages/soli

Welcome to Project Soli (video 3:56)
https://www.youtube.com/watch?v=0QNiZfSsPc0

Google's Project Soli mobile radar input tech can now identify objects
https://techcrunch.com/2016/11/10/googles-project-soli-mobile-radar-input-tech-can-now-identify-objects