We are trying to classify time-series sensor data. The hardware is based on a Nordic BLE chip, it collects data from multiple sensors for hours. We’re trying to classify that data. Let’s say the hardware collects data for over 10 mins, and we want to pick up the differences in that data. One example is shown in the plots below. In the top plot, we’re collecting Na+ concentration data, and the runner takes water, hence doesn’t get dehydrated. In the second case, without water, he/she gets dehydrated. After training a model, we want to classify dehydration based on sensor data.
Do you have any pointers on how we can do this using edge impulse?