Movement Analysis Library (Monalysa)#
Monalysa, aka Movement analysis library, is a unified python library for the quantitative analysis of sensorimotor behavior. Monalysa provides a set of data structures, functions, and classes for representing, analyzing, and visualizing movement-related data from different technologies (motion capture, inertial measurement units, robots, force/torque sensors, force plates, etc.).
Purpose of the library#
In the spirit of open science, the monalysa library provides open-source code for a set of commonly used methods, measures, and tools for analyzing movement data. Such a library can be a step towards the standardization of procedures used for movement analysis.
Who is this library for?#
This library is aimed at students, researchers, clinicians and industry professionals working with movement data.
Installing Monalysa#
Monalysa is available through PyPI and can be easily installed using the following pip command.
(.venv) $ pip install monalysa
Read the Documentation#
You can find the documentation for the Monalysa library at https://monalysa.readthedocs.io/en/latest/.
Contributors#
Sivakumar Balasubramanian, Tanya Subash, Alejandro Melendez-Calderon, Camila Shirota.
Monalysa Contributors#
The details of the list of current contributors to the project can be found in the Contributors pages.
To know more about the installation of Monalysa, visit Installing Monalysa