# 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). Compared to v0.2.0, this preprocessed dataset contains fewer activities. It only includes: lying, sitting, standing, walking, cycling, vaccuum_cleaning and ironing The data is processed with the code from [this script]https://github.com/NLeSC/mcfly-tutorial/blob/master/utils/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 = [5, 7, 9, 10, 11, 12, 13, 18, 19, 20, 24, 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.