Mobile Phone Use Dataset: Feature Extraction Script

This script can be used as an example for extracting features from the Mobile Phone Use Dataset (also known as MPU dataset). It is written in Python 3.7 and supports multi-processing (one core is used per user). It uses 80% of your system cores by default, but can also be customised using Optional Arguments.

Usage Information

First download the MPU dataset and decompress it under the same folder of the script.

The script uses some third-party libraries that need to be installed (e.g. pandas and tqdm). Most of them are included with the Anaconda 3.7 Distribution.

Execute the script using the command:

$ python feature_extraction.py

Optional Arguments

  -h, --help            show this help message and exit
  -p nproc, --parallel nproc
                        execute in parallel, nproc=number of processors to
                        use.
  -sd [uuid [uuid ...]], --sudden-death [uuid [uuid ...]]
                        sudden death: use particular uuid to test the features
                        extraction; either specify the uuid or omit it and it
                        reads out a default one from code (ie. u000)