Other Parts Discussed in Thread: DCA1000EVM
Hello
We are working on a gesture recognition system based on machine learning. To obtain the training data we try to extract the range-doppler heatmap with a reasonable frame rate (10-20 fps). So each gesture will take a couple of seconds and thus consist of 20-30 range-doppler images.
Since the frame rate depends on the number of range and doppler bins the goal is to get as good of a resolution as possible while maintaining a frame rate above 10 fps. The current baud rate we are using for the data port are the default 921600, but I read on the forum that it is possible to double that frame rate. We use a python script to receive the data from the sensor.
It would be very helpful if you could tell us where exactly the bottleneck is. Is there a formula to calculate the maximum achievable frame rate based on the chosen number of range- and doppler-bins? Also, currently we are working with the xwr16xx_mmw_demo.bin image. Do you have another available image that might be faster or more suited to extract the range-doppler heatmap?
Thank you for your help
Simon