
# Mobi Dataset
- We used the default [MOBI dataset](https://ieee-dataport.org/documents/multi-modal-mobile-brain-body-imaging-mobi-dataset-assaying-neural-and-head-movement#files)
- This dataset is used for BCI leg angles regression. Labels consist of 12 regression targets (hip, knee, and ankle; left and right leg angles)
- 4 channels sampled at 220 Hz
- Each sample consists of 200 seconds of EEG recording, each timestep being associated with a label. 
- Our dataset file, `datasets/mobi_dataset.py` expects the data in hdf5 format.
- We minmax normalize the data, and apply zero padding (by 56 samples) for compatibility with our module patching module. The latter step is optional depending on your needs.
- To replicate our results, use `make_datasets/make_mobi.py` with the appropriate parameters.
