Sub-windowing (or sub-sequence analysis) splits a signal into smaller segments to better capture local peaks, dips, and patterns. Instead of analyzing the entire signal as one long sequence, the platform processes it in smaller chunks and extracts more detailed features from each one. This is especially useful for gesture and activity recognition.
To enable it, select the Sub-windowing option.
You can choose between 2 and 10 sub-windows, and each sub-window must contain at least 10 samples. Make sure that the window size in samples divided by the number of sub-windows is 10 or more. If it is not, adjust the window size or the number of sub-windows.
When sub-windowing is enabled:
- You can still add full-window features, which are calculated over the entire window.
- Frequency domain features are disabled.
- Feature selection is automatically enabled, but you can turn it off if needed.
- Lag features (raw data option) are not compatible with sub-windowing. You must disable sub-windowing to use lag features.