updown
, the sample length to 10000
, the sensor to Built-in accelerometer
and the frequency to 62.5Hz
. This indicates that you want to record data for 10 seconds, and label the recorded data as updown
. You can later edit these labels if needed.2000
(you can click on the 2000 ms.
text to enter an exact value), the window increase to 80
, and add the 'Spectral Analysis' and 'Classification (Keras)' blocks. Then click Save impulse.wave
(one the classes). When defining the neural network all these connections are initialized randomly, and thus the neural network will make random predictions. During training, we then take all the raw data, ask the network to make a prediction, and then make tiny alterations to the weights depending on the outcome (this is why labeling raw data is important).1
.. This will limit training to a single iteration. And then click Start training.2
and you'll see performance go up. Finally, change 'Number of training cycles' to 100
and let training finish. You've just trained your first neural network!5000
(5 seconds), click Start sampling and start doing movements. Afterward, you'll get a full report on what the network thought that you did.â‹®
, then selecting Move to training set. Make sure to update the label under 'Data acquisition' before training.200
and see if performance increases (the classified file is stored, and you can load it through 'Classify existing validation sample').32
.