Datasets¶

EMG datasets¶

class dynapsetorch.datasets.EMG.RoshamboDataset(save_to: str, transform: Optional[Callable] = None, target_transform: Optional[Callable] = None, upsample: Optional[int] = 5, channels: Optional[Sequence[int]] = [0, 1, 2, 3, 4, 5, 6, 7])[source]¶

Bases: Dataset

EMG from forearm datasets for roshambo hand gestures recognition

@dataset{donati_elisa_2019_3194792,
    author = {Donati, Elisa},
    title = {EMG from forearm datasets for hand gestures recognition},
    month = may,
    year = 2019,
    publisher = {Zenodo},
    doi = {10.5281/zenodo.3194792},
    url = {https://doi.org/10.5281/zenodo.3194792}
}

Parameters:

save_to (string) – Location to save files to on disk.
train (bool) – If True, uses training subset, otherwise testing subset.
transform (callable, optional) – A callable of transforms to apply to the data.
target_transform (callable, optional) – A callable of transforms to apply to the targets/labels.
transforms (callable, optional) – A callable of transforms that is applied to both data and labels at the same time.
upsample (int) – Upsample factor used to resample the EMG signal (default: 5 ~ 1KHz)

Returns:

A dataset object that can be indexed or iterated over. One sample returns a tuple of (sensor readings, targets).

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Datasets¶

EMG datasets¶