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I worked with mmWave radars previously, but not professionally. In my opinion, it would be quite challenging to extract enough features from the current generation of mmWave radars, such as TI IWR1642 ([1]) which have around 4 receivers and 2-3 transmitters, because the incoming data, while having a lot of temporal resolution is very limited in spatial resolution. With greater number of antennas something like what you describe is theoretically possible, but becomes cost prohibitive. By limiting the number of transmitters / receivers, we can have an almost perfect privacy monitoring. For example, it would be possible to detect a attack / a fight in a public bathroom, while not exposing anyone. 1. https://www.mouser.ec/datasheet/2/405/1/swru521c-1954464.pdf |
For example, I have a CDM324 24Ghz radar module here on my desk. I set it up to 'watch' me type this comment from across the keyboard. This is an extremely simple module that I have powered by a bench power supply and the IF routed directly to the audio input on my desktop. It was sampled with audacity and amplified a bit to help with visibility. Towards the end of the recording I'm expecting a flat spot followed by regular motion followed by 'noise' as I pause motionless for ~10 seconds or so, then take about 5-6 exaggerated breaths, then resume typing.
This is with zero design, the wrong frequency for the job, and next to zero signal conditioning.
(post: i've included a zoomed in image of the 'motion demonstration' to show still/breathing/typing, then zoomed in on typing to show the detail, then a spectrogram and waveform of me reaching up to scratch my ear.)
https://imgur.com/a/0JmENYu
Bonus: yo check out my soundcloud - This is what the doppler signal actually sounds like:
Scratching my ear - https://soundcloud.com/buckrunner2/scratch
Talking directly at the module - https://soundcloud.com/buckrunner2/talking