WESADDataset#

class torchdyno.data.datasets.wesad.WESADDataset[source]#

Bases: Dataset

WESAD dataset.

The WESAD dataset is a dataset of physiological signals collected from a wristband and a chest strap. The dataset contains data from 15 subjects performing different activities. The dataset is used to classify the cognitive state of the user based on the physiological signals.

Methods

__init__(root, user, context[, seq_length])

preprocess()

Attributes

CONTEXTS

USERS

processed_path

raw_path

seq_length

__init__(root, user, context, seq_length=700)[source]#
Parameters:

  • root (str)

  • user (str)

  • context (int)

  • seq_length (int | None)

Return type:

None