IWR1843BOOST: mmWave Radar Device (AWR1642 (Red) and DCA1000 (Green))

Hello,

IWR Radar by itself outputs processed data such as 1D FFT range profile, point cloud, tracker/cluster algorithms, etc. The DCA1000 is an addon that allows the capture of unprocessed, unfiltered, dumped ADC data directly from the buffer in the form of I/Q real imaginary data. From my experience, we have been able to train models to do basic pose estimation such as standing, lying, and siting using point cloud and tracker alone, which simplifies the process. I would recommend using the IWR6843AOP or IWR6843ISK EVMs for maximum compatibility with our 3D People Tracking example demo which outputs the features needed for pose estimation.

Best Regards,

Pedrhom

Here is what I will recommend:

6843AOPEVM

MMWAVEICBOOST (optional, this is to use example source code debug tools such as breakpoints and memory browsing)

5V 3A power supply

Radar Toolbox (install via web browser)

3D People Tracking Example Demo

Im guessing you will be using machine learning. For pose, use the tracker's output which includes the track's pos, velocity, and acceleration as features, as well as some of the information about a few points within the track's cluster itself such as position, velocity, SNR.

Best Regards,

Pedrhom