Select Manual Setup and specify the window size. Since one gesture is executed in approximately one second, data should be processed in 99 records (1 second of sensor readings).
This means that for each set of 99 records per axis (ax, ay, az, gx, gy, gz), Neuton will extract features and represent the data as a single training sample (1 row).
The Sliding Shift controls how many records to skip before starting a new sample. To segment data by exactly one second without overlap, set the Sliding Shift for training to match the window size. To generate new samples with overlap, reduce the Sliding Shift value to be less than the window size.
The Sliding Shift for inference only affects sample generation from streaming data when performing inference on the edge device. For example, a Sliding Shift of 33 for inference queries the model 3 times per second. At the top of the page, you will see the estimated RAM footprint of the model.