"""
This module is for loading time series data sets
"""
# Author: David Burns
# License: BSD
from os.path import dirname
import numpy as np
__all__ = ['load_watch']
[docs]def load_watch():
"""
Loads some of the 6-axis inertial sensor data from my smartwatch project. The sensor data was
recorded as study subjects performed sets of 20 shoulder exercise repetitions while wearing a
smartwatch. It is a multivariate time series.
The study can be found here: https://arxiv.org/abs/1802.01489
Returns
-------
data : dict
data['X'] : list, length 140
| inertial sensor data, each element with shape [n_samples, 6]
| sampled at 50 Hz
data['y'] : array, length 140
target vector (exercise type)
data['side'] : array, length 140
the extremity side, 1 = right, 0 = left
data['subject'] : array, length 140
the subject (participant) number
data['X_labels'] : str list, length 6
ordered labels for the sensor data variables
data['y_labels'] :str list, length 7
ordered labels for the target (exercise type)
Examples
--------
>>> from seglearn.datasets import load_watch
>>> data = load_watch()
>>> print(data.keys())
"""
module_path = dirname(__file__)
data = np.load(module_path + "/data/watch_dataset.npy", allow_pickle=True).item()
return data