Question/Issue:
I am trying to run the ai model in an Ocre micro-container that does motion recognition from Run C++ library on custom boards - Edge Impulse Documentation but when I flash it on my microcontroller, the model keeps predicting only updown class, or rarely wave. Never recognizes idle.
Context/Use case:
The model is using data sampled from a 3-axis accelerometer at 104 Hz. I saw that data was sampled with 62.5 Hz, so I changed it to 104 and re-trained everything on the platform, but nothing changed.
Do I need to create a different training set at 104 Hz?
I tried seeing if there are big differences between my idle data and the idle data from the edge impulse example:
edge impulse: 0.0700, 0.0000, 10.1300, 0.0900, -0.0100, 10.1100, 0.0600, -0.0300, 10.0900, …
mine: 0.032314, -0.436839, 10.061667, 0.053857, -0.428462, 10.040722, 0.041889, -0.440430, 10.028155, …
although x and y are little higher, the model should be able to predict small variance in data since it is simple static data
Environment:
- Platform: STM32 b_u585i_iot2a
- Build Environment Details: flashed on an Ocre container