Soli: ubiquitous gesture sensing with millimeter wave radar (2016)[pdf]
dl.acm.org
dl.acm.org
edit: this link seems to work https://dl.acm.org/citation.cfm?id=2925953
No software in sight. This is especially bad since "machine learning" is cited as a cornerstone of the detection. Hardware papers behind paywall or not yet existing (and may never exist). Nothing even remotely useful for somebody to replicate or evaluate.
If this appeared on the web from a company other than Google, everybody would dismiss it as pure marketing fiction.
Maybe I'm being overly harsh, but one of the big problems with 60GHz type stuff is evaluation that what you have is reliably signal. Especially with "machine learning", who knows what the system is latching onto.
(2016)
C'mon, man. It's been less than twelve months.2016 was three weeks ago.
But, that said, I believe there are many >1 mm^2 resolution features that can basically uniquely identify users, like, the shape of a hand (individual finger geometry, etc), the length of a limb, the particular subcutaneous layout of veins, face geometry, etc. It's interesting to ponder about, at least!
Currently looking around for cheap (and arduino-amenable) single chip radar systems whereby I might try to hack together a more low tech prototype of Soli
[0] http://www.neurotechnology.com/cgi-bin/fingerprint-scanners....