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Sorry, don't buy it.

Gait analysis is excellent at identifying people, and that's projecting from a 2D image at a distance.

Anything which can draw a moving voxel cloud around a human is going to figure out who that human is eventually.



I don't disagree but I think this version of privacy is reductive.

Plenty of real world privacy exists on a spectrum. My family knowing I'm in the bathroom is a far cry form them pointing a camera at me.

If stores track you "anonymously" with this ... Who cares? It's less invasive than the ubiquitous security cameras they have pointed at you.


Google knowing every time I’m in the bathroom and keeping a detailed log of the times is a far cry from someone in my family happening to notice I go in there once.


I have no opinion on your reply, I was discussing technical feasibility in response to someone claiming it was infeasible. The normative claims aren't germane or particularly interesting to me.


By not exposing anyone I meant reconstructing an image. Identification is a different story and there are multiple ways on how to achieve that (heartbeat classification is an obvious one).

If you have ideas how to reconstruct an image with 4 receivers / 2-3 transmitters, please, buy a dev kit from TI (they cost <$200, https://www.mouser.com/c/?q=mmwave) and show us a demo.


I have a lot of experience with TI's IWR6843AOP chip and dev kit. It has 3 transmitters and 4 receivers and it'd be impossible to create a facial reconstruction with it.


Is it possible to grab the raw ADC outputs from that dev kit alone into the PC by USB or is another ADC kit or something needed?


I've just used it for the point cloud data which can be streamed via USB. If you want to stream the raw data I think you'll need https://www.ti.com/tool/DCA1000EVM. it has a 1Gbps ethernet port on it.




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