A set of python modules for behavioral data analysis
Machine learning module
Main goal of this application is to prepare data for subsequent authentication. This module provides functionality for preprocessing data, authentication and visualization.
Preprocessing part of functionality compute speed related columns, splits data into multiple movement segments and compute their length.
Visualization part provides functionality to display FAR, FRR metrics and ROC, DET curves.
This project is part of Behametrics-learn team project at [Faculty of Informatics and Information Technologies STU in Bratislava](Faculty of Informatics and Information Technologies STU in Bratislava)
The source code is currently hosted on GitLab.
The easiest way to install behalearn is using
pip install behalearn
After installation you can easily use module as any other python package, for example:
from behalearn.features import features_for_segment
The official documentation and structure of the module is available on following link.
Source code is provided under MIT License.
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