I’ve trained a model and deployed it on an Arduino Nano ble 33 using the arduino library. I’m getting different classifications when I used the static buffer example with features from the live classification. And run model on browser gets more correct results than continously on-device inferencing.
Example 1: on.249819qh.ingestion-64c87cfdcb-j5c4s
Example 2: on.249819r1.ingestion-64c87cfdcb-7cq9l