PAMAP2 dataset preprocessed v0.2.0
Description
# Processed PAMAP2 dataset
This dataset is based on the [PAMAP2 Dataset for Physical Activity Monitoring](https://archive.ics.uci.edu/ml/datasets/PAMAP2+Physical+Activity+Monitoring).
The data is processed with the code from [this script](https://github.com/NLeSC/mcfly-tutorial/blob/master/tutorial/tutorial_pamap2.py), with the following function call:
```python
columns_to_use = ['hand_acc_16g_x', 'hand_acc_16g_y', 'hand_acc_16g_z',
'ankle_acc_16g_x', 'ankle_acc_16g_y', 'ankle_acc_16g_z',
'chest_acc_16g_x', 'chest_acc_16g_y', 'chest_acc_16g_z']
exclude_activities = [9, 10, 11, 18, 19, 20, 0]
outputpath = tutorial_pamap2.fetch_and_preprocess(directory_to_extract_to,
columns_to_use,
exclude_activities=exclude_activities,
val_test_size=(100, 1000))
```
## References
A. Reiss and D. Stricker. Introducing a New Benchmarked Dataset for Activity Monitoring. The 16th IEEE International Symposium on Wearable Computers (ISWC), 2012.
Files
data02.zip
Files
(415.9 MB)
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