Andri’s here, the one that initially plan to visit your HQ when I was in Bay Area. First of all, thank you so much for this awesome platform.
Straight to the question. I’m able to run the inference engine locally. For now, on my PC, but I think it’s not that hard to do it on actual mbed-enabled boards.
My questions are related to how to do inference if using the real raw data from accelerometer. I read on this guide that I need to copy “raw features” from studio to be used for inferencing locally.
- What is actually raw features?
- Is it raw accelerometer x, y, and z?
- If yes, what is the unit? m/s^2 or g/mili-g?
- Other accelerometer setting, like output data rate (ODR in Hz), full scale (2g, 4g, etc)?
So that we can read and use data from our own accelerometer sensor (on custom board) and use them for inferencing.